Komut dosyalarını "alert" için ara
Customizable trailing Stop For Manual EntriesHere's how to create a trailing stop with a manual buy order, on an exchange that does not support native trailing stops. Code can easily be copy+pasted into your normal algos.
To set the entry price for your manual trade, specify the bar time when the trade was made. Note that the time you specify needs to correspond to an opening time on your chart--if it's a 3 hour chart, 6 pm or 9 pm will work, but 8 PM will not. It's not as bad as it sounds though, read on :)
Per usual I keep multiple options open.
Special features in this script:
Change time frame for trailing
Specify trailing parameter (high, close, hlc3, etc.)
Change time frame for stop loss trigger (use a shorter time frame for earlier exits!)
Specify trigger parameter (close, low, hlc3, etc.)
Remember that annoying issue where you might not be able to precisely specify entry price, because you want to use 3 hour closing prices for your trailing stop but you bought in at 7:41 pm? Add this indicator to a 1 minute chart and set your start time to 19:41, then set the trailing time frame to 3 hours!
Next stop is v2, where we take profits along the way before stop loss gets triggered.
RDT Buy/Sell Signals Scalp 1MExit alerts for scalps for the 1m chart.
An alert is triggered, if a 1m candle ended and a 3/8 EMA cross was created in the according direction (depending on whether Long or Short Exit alert is set).
Entry alerts basically work the same. I've never ever used them so far though, since it never made sense the way I trade.
More infos: www.reddit.com
Market Pulse Dip RadarThis indicator is designed to help traders spot meaningful dips in price and then evaluate whether those dips are worth trading or not. It doesn’t just mark a dip; it also helps with risk management, trade planning, and filtering out weak signals.
Here’s how it works:
First, it looks at the recent high price and checks how much the market has dropped from that high. If the drop is larger than the minimum percentage you set, it marks it as a potential dip.
Next, it checks the trend structure by using two moving averages (a fast one and a slow one). If the fast average is below the slow average, it means the market is in a weaker structure, and that dip is considered more valid.
On top of that, you can enable a multi-timeframe filter. For example, if you are trading on the 15-minute chart, you can ask the indicator to confirm that the 1-hour trend is also supportive before showing you a dip. This helps avoid trading against the bigger trend.
Risk management is built in. The indicator automatically suggests a stop-loss by combining volatility (ATR) and recent swing lows. It then draws three profit target levels (1x risk, 2x risk, and 3x risk). This makes it easier to plan where to exit if the trade works.
A key part of this tool is the confidence score. Each dip signal is rated from 0 to 100. The score depends on how deep the dip is, how far apart the moving averages are, how healthy volatility is, and whether the higher timeframe supports the trade. The score is then labeled as High, Medium, Low, or Wait. This helps traders focus only on the stronger setups.
On the chart, dip signals are marked with a diamond shape under the bars. The color of the diamond tells you if it’s high, medium, or low quality. When a signal appears, the indicator also plots horizontal lines for the entry, stop, and targets.
To make it easier to read, there is also a dashboard box that shows the current score, quality, dip percentage, and suggested stop-loss. This means you don’t have to calculate or check different things yourself – everything is visible in one place.
Finally, it comes with alerts. You can set alerts for when a dip signal happens, or when it’s medium or high confidence. This way, you don’t need to stare at charts all day; TradingView can notify you.
So in short, this tool:
• Finds dips based on your rules.
• Filters them using structure, volatility, and higher timeframe trend.
• Suggests stop-loss and profit targets.
• Rates each dip with a confidence score.
• Shows all this info in a clean dashboard and alerts you when it happens.
👉 Do you want me to now explain how a trader would actually use it in practice (step by step, from signal to trade)?
АЗЪ 3.610 - Squeeze Momentum + ADX + FastTF + Alerts + PnLStrata genius squeeze momentum + tester + adx +fast tf
MTF Squeeze Analyzer - [tradeviZion]MTF Squeeze Analyzer
Multi-Timeframe Squeeze Pro Analyzer Tool
Overview:
The MTF Squeeze Analyzer is a comprehensive tool designed to help traders monitor the TTM Squeeze indicator across multiple timeframes in a streamlined and efficient manner. Built with Pine Script™ version 5, this indicator enhances your market analysis by providing detailed insights into squeeze conditions and momentum shifts, enabling you to make more informed trading decisions.
Key Features:
1. Multi-Timeframe Monitoring:
Comprehensive Coverage: Track squeeze conditions across multiple timeframes, including 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 2-hour, 4-hour, and daily charts.
Squeeze Counts: Keep count of the number of consecutive bars the price has been within each squeeze level (low, mid, high), helping you assess the strength and duration of consolidation periods.
2. Dynamic Table Display:
Customizable Appearance: Adjust table position, text size, and colors to suit your preferences.
Color-Coded Indicators: Easily identify squeeze levels and momentum shifts with intuitive color schemes.
Message Integration: Features rotating messages to keep you engaged and informed.
3. Alerts for Key Market Events:
Squeeze Start and Fire Alerts: Receive notifications when a squeeze starts or fires on your selected timeframes.
Custom Squeeze Count Alerts: Set thresholds for squeeze counts and get alerted when these levels are reached, allowing you to anticipate potential breakouts.
Fully Customizable: Choose which alerts you want to receive and tailor them to your trading strategy.
4. Momentum Analysis:
Momentum Oscillator: Visualize momentum using a histogram that changes color based on momentum shifts.
Detailed Insights: Determine whether momentum is increasing or decreasing to make more strategic trading decisions.
How It Works:
The indicator is based on the TTM Squeeze concept, which identifies periods of low volatility where the market is "squeezing" before a potential breakout. It analyzes the relationship between Bollinger Bands and Keltner Channels to determine squeeze conditions and uses linear regression to calculate momentum.
1. Squeeze Levels:
No Squeeze (Green): Market is not in a squeeze.
Low Compression Squeeze (Gray): Mild consolidation, potential for a breakout.
Mid Compression Squeeze (Red): Moderate consolidation, higher breakout potential.
High Compression Squeeze (Orange): Strong consolidation, significant breakout potential.
2. Squeeze Counts:
Tracks the number of consecutive bars in each squeeze condition.
Helps identify how long the market has been consolidating, providing clues about potential breakout timing.
3. Momentum Histogram:
Upward Momentum: Shown in aqua or blue, indicating increasing or decreasing upward momentum.
Downward Momentum: Displayed in red or yellow, representing increasing or decreasing downward momentum.
Using Alerts:
Stay ahead of market movements with customizable alerts:
1. Enable Alerts in Settings:
Squeeze Start Alert: Get notified when a new squeeze begins.
Squeeze Fire Alert: Be alerted when a squeeze ends, signaling a potential breakout.
Squeeze Count Alert: Set a specific number of bars for a squeeze condition, and receive an alert when this count is reached.
2. Set Up Alerts on Your Chart:
Click on the indicator name and select " Add Alert on MTF Squeeze Analyzer ".
Choose your desired alert conditions and customize the notification settings.
Click " Create " to activate the alerts.
How to Set It Up:
1. Add the Indicator to Your Chart:
Search for " MTF Squeeze Analyzer " in the TradingView Indicators library.
Add it to your chart.
2. Customize Your Settings:
Table Display:
Choose whether to show the table and select its position on the chart.
Adjust text size and colors to enhance readability.
Timeframe Selection:
Select the timeframes you want to monitor.
Enable or disable specific timeframes based on your trading strategy.
Colors & Styles:
Customize colors for different squeeze levels and momentum shifts.
Adjust header and text colors to match your chart theme.
Alert Settings:
Enable alerts for squeeze start, squeeze fire, and squeeze counts.
Set your preferred squeeze type and count threshold for alerts.
3. Interpret the Data:
Table Information:
The table displays the squeeze status and counts for each selected timeframe.
Colors indicate the type of squeeze, making it easy to assess market conditions at a glance.
Momentum Histogram:
Use the histogram to gauge the strength and direction of market momentum.
Observe color changes to identify shifts in momentum.
Why Use MTF Squeeze Analyzer ?
Enhanced Market Insight:
Gain a deeper understanding of market dynamics by monitoring multiple timeframes simultaneously.
Identify potential breakout opportunities by analyzing squeeze durations and momentum shifts.
Customizable and User-Friendly:
Tailor the indicator to fit your trading style and preferences.
Easily adjust settings without needing to delve into the code.
Time-Efficient:
Save time by viewing all relevant squeeze information in one place.
Reduce the need to switch between different charts and timeframes.
Stay Informed with Alerts:
Never miss a critical market movement with fully customizable alerts.
Focus on other tasks while the indicator monitors the market for you.
Acknowledgment:
This tool builds upon the foundational work of John Carter , who developed the TTM Squeeze concept. It also incorporates enhancements from LazyBear and Makit0 , providing a more versatile and powerful indicator. MTF Squeeze Analyzer extends these concepts by adding multi-timeframe analysis, squeeze counting, and advanced alerting features, offering traders a comprehensive solution for market analysis.
Note: Always practice proper risk management and test the indicator thoroughly to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
Trade smarter with TradeVizion—unlock your trading potential today!
Bjorgum Double Tap█ OVERVIEW
Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns.
█ CONCEPTS
How Is A Pattern Defined?
Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern.
Pattern Recognition
Patterns are recognized through the use of zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described.
█ STRATEGY RESULTS
Back Testing
Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them.
👉 In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication.
Repainting
Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only.
👉 It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick" , and for confirmed signals ensure it is disabled.
█ EXIT ORDERS
Limit and Stop Orders
By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height.
Trailing Stops
Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety.
👉 It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only.
█ ALERTS
Five Built-in 3rd Party Destinations
The following are five options for delivering alerts from Double Tap to live trade execution via third party API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades.
Custom JSON
JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server.
Below is an example of a rendered JSON alert:
{
"passphrase": "1234",
"time": "2022-05-01T17:50:05Z",
"ticker": "ETHUSDTPERP",
"plot": {
"stop_price": 2600.15,
"limit_price": 3100.45
},
"strategy": {
"position_size": 0.1,
"order_action": "buy",
"market_position": "long",
"market_position_size": 0,
"prev_market_position": "flat",
"prev_market_position_size": 0
}
}
Trading Connector
Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from TradingView and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert.
Alertatron
Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts.
3 Commas
3 Commas is an easy and quick to use click-and-go third party crypto API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window.
Discord
Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts.
👉 For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider.
█ IMPORTANT NOTES
Setting Alerts
For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert.
{{strategy.order.alert_message}}
This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu.
Order Sizing and Commissions
The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well.
👉 It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert.
█ FOR PINECODERS
• With the recent introduction of matrices in Pine, the script utilizes a matrix to track pivot points with the bars they occurred on, while tracking if that pivot has been traded against to prevent duplicate detections after a trade is exited.
• Alert messages are populated with placeholders ; capability that previously was only possible in alertcondition() , but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.
• New arguments have been added to strategy.exit() , which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord
FibonacciRetracementHi all!
This library will help you draw Fibonacci retracement levels (zones). The code is from my indicator "Fibonacci retracement" (). You can see that description for more information about the behaviour and example of how to use this library. The code is almost the same with the addition of alerts. If the alert frequency is 'alert.freq_once_per_bar_close' alert messages will be concatenated and have a header saying how many messages it contains (if it's more than 1).
Hope this is of help!
Library "FibonacciRetracement"
ConcateAlerts(context)
Concatenates all alerts from the bar to one string (separated by new lines) and clears alert messages on the current bar.
Parameters:
context (Context)
AddAlert(context, message, unshiftInsteadOfPush)
Parameters:
context (Context)
message (string)
unshiftInsteadOfPush (bool)
Range(context, structure, settings)
Will return values if new levels/zones should be drawn.
Parameters:
context (Context) : The 'Context' for the Fibonacci retracement.
structure (Structure type from mickes/PriceAction/1) : The current 'Structure' from the 'MarketStructure' library.
settings (Settings) : The 'Settings' object for the 'Context'.
Returns: A tuple with the start and end pivot if new zones should be drawn, ' ' otherwise.
DrawAll(context, settings, start, end)
Draws lines and labels for the zone. It will also set the 'Price' value that will be used for absolute positions.
Parameters:
context (Context) : The 'Context' for the Fibonacci retracement.
settings (Settings) : The 'Settings' object for the 'Context'.
start (Pivot type from mickes/PriceAction/1)
end (Pivot type from mickes/PriceAction/1)
AlertActive(context, settings)
Will alert for all zones that are active. If multiple alert messages are added they will be concatenated (separated by a new line) with a header saying how many messages the alert contains.
Parameters:
context (Context) : The 'Context' for the Fibonacci retracement. This contains the zones that will be alerted if price (wick or close according to the settings) enters it.
settings (Settings) : The 'Settings' object for the 'Context'.
TrendlineSettings
Holds all the values for 'TrendlineSettings'.
Fields:
Enabled (series bool) : If the trendline should be visible or not.
Color (series color) : The color of the trendline.
Style (series string) : The style of the trendline (as a string).
GenericZonesSettings
Holds all the values for 'GenericZonesSettings', that will be applicable to all drawn objects.
Fields:
ExtendRight (series bool) : If all lines should extend to the right or not.
Style (series string) : The style of all drawn lines
Reverse (series bool) : If true, all lines will be reversed.
Prices (series bool) : If price levels should be shown or not.
Levels (series bool) : If levels should be shown or not.
LevelsValue (series string) : Either 'Value' or 'Percent'. Defined if value or percentage should be shown.
FontSize (series int) : The for size of the text in labels drawn.
LabelsPosition (series string) : Coul be 'Left', 'Rigth' or 'Adapt'. 'Adapt' will try to adapt the labels position to the prices.
ZoneSettings
Holds all the values for 'ZoneSettings'.
Fields:
Enabled (series bool) : If this zone is enabled or not.
Level (series float) : The level of the zone.
Color (series color) : The color that will be displayed.
Price (series float) : The price of the level. Will be set internally.
Settings
Holds all the values for 'Settings'.
Fields:
PivotLeftLength (series int) : The left length used to find pivots through the 'MarketStructure' library.
PivotRightLength (series int) : The right length used to find pivots through the 'MarketStructure' library.
Trendline (TrendlineSettings) : The settings for the 'Trendline' object.
GenericZonesSettings (GenericZonesSettings) : The setting applicable to all zones.
AlertFrequency (series string) : The frequency for the alerts. If 'alert.freq_once_per_bar_close', alert messages will be concatenated and have a header saying how many messages it contains (if it's more than 1).
AlertPrice (series string) : The price that has to enter a zone. Can be 'Close' (the closing price) or 'Wick' (the whole candle needs to be in the zone).
Zone1 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone2 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone3 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone4 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone5 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone6 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone7 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone8 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone9 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone10 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone11 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone12 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone13 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone14 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone15 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone16 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone17 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone18 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone19 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone20 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone21 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone22 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone23 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Zone24 (ZoneSettings) : The 'ZoneSettings' that represents this zone.
Context
Holds all the values for 'Context'.
Fields:
Lines (array) : All the drawn lines for the current 'Context'.
Labels (array) : All the drawn labels for the current 'Context'.
Boxes (array) : All the drawn boxes for the current 'Context'.
Alerts (array) : All the alert messages on the current tick.
Start (series int) : The start bar index of the current 'Context'.
Easy MA SignalsEasy MA Signals
Overview
Easy MA Signals is a versatile Pine Script indicator designed to help traders visualize moving average (MA) trends, generate buy/sell signals based on crossovers or custom price levels, and enhance chart analysis with volume-based candlestick coloring. Built with flexibility in mind, it supports multiple MA types, crossover options, and customizable signal appearances, making it suitable for traders of all levels. Whether you're a day trader, swing trader, or long-term investor, this indicator provides actionable insights while keeping your charts clean and intuitive.
Configure the Settings
The indicator is divided into three input groups for ease of use:
General Settings:
Candlestick Color Scheme: Choose from 10 volume-based color schemes (e.g., Sapphire Pulse, Emerald Spark) to highlight high/low volume candles. Select “None” for TradingView’s default colors.
Moving Average Length: Set the MA period (default: 20). Adjust for faster (lower values) or slower (higher values) signals.
Moving Average Type: Choose between SMA, EMA, or WMA (default: EMA).
Show Buy/Sell Signals: Enable/disable signal plotting (default: enabled).
Moving Average Crossover: Select a crossover type (e.g., MA vs VWAP, MA vs SMA50) for signals or “None” to disable.
Volume Influence: Adjust how volume impacts candlestick colors (default: 1.2). Higher values make thresholds stricter.
Signal Appearance Settings:
Buy/Sell Signal Shape: Choose shapes like triangles, arrows, or labels for signals.
Buy/Sell Signal Position: Place signals above or below bars.
Buy/Sell Signal Color: Customize colors for better visibility (default: green for buy, red for sell).
Custom Price Alerts:
Custom Buy/Sell Alert Price: Set specific price levels for alerts (default: 0, disabled). Enter a non-zero value to enable.
Set Up Alerts
To receive notifications (e.g., sound, popup, email) when signals or custom price levels are hit:
Click the Alert button (alarm clock icon) in TradingView.
Select Easy MA Signals as the condition and choose one of the four alert types:
MA Crossover Buy Alert: Triggers on MA crossover buy signals.
MA Crossover Sell Alert: Triggers on MA crossover sell signals.
Custom Buy Alert: Triggers when price crosses above the custom buy price.
Custom Sell Alert: Triggers when price crosses below the custom sell price.
Enable Play Sound and select a sound (e.g., “Bell”).
Set the frequency (e.g., Once Per Bar Close for confirmed signals) and create the alert.
Analyze the Chart
Moving Average Line: Displays the selected MA with color changes (green for bullish, red for bearish, gray for neutral) based on price position relative to the MA.
Buy/Sell Signals: Appear as shapes or labels when crossovers or custom price levels are hit.
Candlestick Colors: If a color scheme is selected, candles change color based on volume strength (high, low, or neutral), aiding in trend confirmation.
Why Use Easy MA Signals?
Easy MA Signals is designed to simplify technical analysis while offering advanced customization. It’s ideal for traders who want:
A clear visualization of MA trends and crossovers.
Flexible signal generation based on MA crossovers or custom price levels.
Volume-enhanced candlestick coloring to identify market strength.
Easy-to-use settings with tooltips for beginners and pros alike.
This script is particularly valuable because it combines multiple features into one indicator, reducing chart clutter and providing actionable insights without overwhelming the user.
Benefits of Easy MA Signals
Highly Customizable: Supports SMA, EMA, and WMA with adjustable lengths.
Offers multiple crossover options (VWAP, SMA10, SMA20, etc.) for tailored strategies.
Custom price alerts allow precise targeting of key levels.
Volume-Based Candlestick Coloring: 10 unique color schemes highlight volume strength, helping traders confirm trends.
Adjustable volume influence ensures adaptability to different markets.
Flexible Signal Visualization: Choose from various signal shapes (triangles, arrows, labels) and positions (above/below bars).
Customizable colors improve visibility on any chart background.
Alert Integration: Built-in alert conditions for crossovers and custom prices support sound, email, and app notifications.
Easy setup for real-time trading decisions.
User-Friendly Design: Organized input groups with clear tooltips make configuration intuitive.
Suitable for beginners and advanced traders alike.
Example Use Cases
Swing Trading with MA Crossovers:
Scenario: A trader wants to trade Bitcoin (BTC/USD) on a 4-hour chart using an EMA crossover strategy.
Setup:
Set Moving Average Type to EMA, Length to 20.
Set Moving Average Crossover to “MA vs SMA50”.
Enable Show Buy/Sell Signals and choose “arrowup” for buy, “arrowdown” for sell.
Select “Emerald Spark” for candlestick colors to highlight volume surges.
Usage: Buy when the EMA20 crosses above the SMA50 (green arrow appears) and volume is high (dark green candles). Sell when the EMA20 crosses below the SMA50 (red arrow). Set alerts for real-time notifications.
Scalping with Custom Price Alerts:
Scenario: A day trader monitors Tesla (TSLA) on a 5-minute chart and wants alerts at specific support/resistance levels.
Setup:
Set Custom Buy Alert Price to 150.00 (support) and Custom Sell Alert Price to 160.00 (resistance).
Use “labelup” for buy signals and “labeldown” for sell signals.
Keep Moving Average Crossover as “None” to focus on price alerts.
Usage: Receive a sound alert and label when TSLA crosses 150.00 (buy) or 160.00 (sell). Use volume-colored candles to confirm momentum before entering trades.
When NOT to Use Easy MA Signals
High-Frequency Trading: Reason: The indicator relies on moving averages and volume, which may lag in ultra-fast markets (e.g., sub-second trades). High-frequency traders may need specialized tools with real-time tick data.
Alternative: Use order book or market depth indicators for faster execution.
Low-Volatility or Sideways Markets:
Reason: MA crossovers and custom price alerts can generate false signals in choppy, range-bound markets, leading to whipsaws.
Alternative: Use oscillators like RSI or Bollinger Bands to trade within ranges.
This indicator is tailored more towards less experienced traders. And as always, paper trade until you are comfortable with how this works if you're unfamiliar with trading! We hope you enjoy this and have great success. Thanks for your interested in Easy MA Signals!
WillStop Pro [tradeviZion]WillStop Pro : A Step-by-Step Guide for Beginners to Master Trend Trading
Welcome to an in-depth guide to the WillStop Pro indicator. This article will walk you through the key features, how to use them effectively, and how this tool can help you navigate the markets confidently. WillStop Pro is based on principles established by Larry Williams, a well-known figure in trading, and aims to help you manage trades more effectively without overcomplicating things.
This guide will help you understand the basics of the WillStop Pro indicator, how to interpret its signals, and how to use it step-by-step to manage risk and identify opportunities in your trading journey. We will also cover the underlying logic and calculations for advanced users interested in more details.
What is the WillStop Pro Indicator?
The WillStop Pro indicator is a user-friendly tool that helps traders establish stop levels dynamically. It helps you figure out optimal points to enter or exit trades, while managing risk effectively during changing market conditions. The indicator tracks trending markets and sets price levels as stops for ongoing trades, making it suitable both for deciding when to enter and exit trades.
The indicator is beginner-friendly because it simplifies complex calculations and presents the results visually. This allows traders to focus more on their decision-making process instead of spending time with complex analysis.
WillStop Pro adapts to different market conditions, whether you're trading stocks, forex, commodities, or cryptocurrencies. It adjusts stop levels dynamically based on current market momentum, providing a practical way to manage both risk and reward.
Another significant benefit of WillStop Pro is that it works well with other indicators. Beginners can use it on its own or combine it with other tools like moving averages or oscillators to form a comprehensive trading strategy. Whether you are trading daily or looking at longer-term trends, WillStop Pro helps you manage your trades effectively.
Key Features of WillStop Pro
Dynamic Stop Levels : WillStop Pro calculates real-time stop levels for both long (buy) and short (sell) positions. This helps you protect your profits and reduce risk. The stop levels adjust based on the current market environment, making them more adaptable compared to fixed stop levels.
Advanced Stop Settings : There are optional settings to make the stop calculations more advanced, which take into consideration previous price movements to refine where the stops should be placed. These settings provide more precise control over your trades.
Break Signals and Alerts : The indicator provides visual signals, like arrows, to show when a stop level has been broken. This makes it easier for you to identify possible reversals and understand when the market direction is changing.
Comprehensive Table Display : A small table on the chart shows the current trend, the stop level, and whether advanced mode is active. This simple display provides an overview of the market, making decision-making easier.
Based on Larry Williams' Methodology : WillStop Pro builds upon Larry Williams' ideas, which are designed to capture major market trends while managing risk effectively. It provides a systematic way to follow these strategies without requiring deep technical analysis skills.
How Are Stop Levels Calculated? (For Advanced Users)
The WillStop Pro indicator determines stop levels by evaluating highs, lows, and closing prices over a specific lookback period. It uses this information to identify key points that justify adjusting your stop level, and there are separate approaches for both long and short positions.
Below, we explain the mathematical logic behind the stop calculations, along with some code snippets to give advanced users a clearer understanding.
For Long Stops (buy positions): The indicator looks for the highest closing price within the lookback period and continues until it finds three valid bars that meet certain criteria. Stops are adjusted to skip bars that have consecutive upward closes to ensure that the stop is placed at a level that offers solid support. Specifically, the function iterates over recent bars to determine the highest closing value, and checks for specific conditions before finalizing the stop level. Here is an excerpt of the relevant code:
getTrueLow(idx) => math.min(low , close )
findStopLevels() =>
float highestClose = close
int highestCloseIndex = 0
for i = 0 to lookback
if close > highestClose
highestClose := close
highestCloseIndex := i
// Logic to adjust based on up close skipping
int longCount = 0
int longCurrentIndex = highestCloseIndex
while longCount < 3 and longCurrentIndex < 100
if not isInsideBar(longCurrentIndex)
longCount += 1
longCurrentIndex += 1
// Determine the lowest low for the stop level
float longStopLevel = high * 2
for i = searchIndex to highestCloseIndex
longStopLevel := math.min(longStopLevel, getTrueLow(i))
// Apply offset
longStopLevel := longStopLevel - (offsetTicks * tickSize)
In this code snippet, the function findStopLevels() calculates the long stop level by first identifying the highest close within the lookback period and then finding a suitable support level while skipping certain conditions, such as inside bars or consecutive upward closes. Finally, the user-defined offset ( offsetTicks ) is applied to determine the stop level.
For Short Stops (sell positions): Similarly, the indicator finds the lowest closing price within the lookback period and then identifies three bars that fit the conditions for a short stop. It avoids using bars with consecutive down closes to help find a more robust resistance level. Here's a relevant code snippet:
getTrueHigh(idx) => math.max(high , close )
findStopLevels() =>
float lowestClose = close
int lowestCloseIndex = 0
for i = 0 to lookback
if close < lowestClose
lowestClose := close
lowestCloseIndex := i
// Logic to adjust based on down close skipping
int shortCount = 0
int shortCurrentIndex = lowestCloseIndex
while shortCount < 3 and shortCurrentIndex < 100
if not isInsideBar(shortCurrentIndex)
shortCount += 1
shortCurrentIndex += 1
// Determine the highest high for the stop level
float shortStopLevel = 0
for i = searchIndex to lowestCloseIndex
shortStopLevel := math.max(shortStopLevel, getTrueHigh(i))
// Apply offset
shortStopLevel := shortStopLevel + (offsetTicks * tickSize)
Here, findStopLevels() calculates the short stop level by finding the lowest closing price within the lookback period. It then determines the highest value that acts as a resistance level, excluding bars that do not fit certain criteria.
Volume Confirmation for Alert Accuracy : To further enhance the stop level accuracy, volume is used as a confirmation filter. The average volume (volAvg) is calculated over a 20-period moving average, and alerts are only generated if the volume exceeds a defined threshold (volMultiplier). This ensures that price movements are significant enough to consider as meaningful signals.
volAvg = ta.sma(volume, 20)
isVolumeConfirmed() =>
result = requireVolumeConfirmation ? volume > (volAvg * volMultiplier) : true
result
This additional logic ensures that stop level breaks or adjustments are not triggered during periods of low trading activity, thus enhancing the reliability of the generated signals.
These calculations are at the core of WillStop Pro's ability to determine dynamic stop levels that respond effectively to market movements, helping traders manage risk by placing stops at levels that make sense given historical price and volume data.
How to Identify Opportunities with WillStop Pro
WillStop Pro provides various signals that help you decide when to enter or exit a trade:
When a Stop Level is Broken: If a stop level (support for long positions or resistance for short positions) is broken, it may indicate a reversal. WillStop Pro visually plots arrows whenever a stop level is breached, making it easy for you to see where changes might occur. This feature helps traders identify momentum shifts quickly.
Support and Resistance Levels: The indicator plots support and resistance levels, which show key zones to watch for opportunities. These levels often act as psychological barriers in the market, where price action may either reverse or stall temporarily.
Dynamic State Management: The indicator shifts between long and short states based on price action, providing real-time feedback. This helps traders stick to their trading plan without second-guessing the market.
A major advantage of WillStop Pro is that it responds well to changing market conditions. By identifying when key support or resistance levels break, it allows you to adjust your strategies and react to new opportunities accordingly. Whether the market is trending strongly or staying within a range, WillStop Pro provides valuable information to help guide your trades.
Setting Up Alerts
Alerts are an important feature in trading, especially when you can’t be in front of your charts all the time. WillStop Pro has been enhanced to include flexible alert settings to help you stay on top of your trades without constantly monitoring the charts.
Enable Alerts: There is a master switch to enable or disable all alerts. This way, you can control whether you want to be notified of events at any time.
Alert Frequency: Choose between receiving alerts Once Per Bar or Once Per Bar Close . This helps you manage the frequency of alerts and decide if you need real-time updates or want confirmation after a bar closes.
Break Alerts: These alerts notify you when a stop level has been broken. This can help you catch potential reversals or trading opportunities as soon as they happen.
Strong Break Alerts: Alerts are available for strong breaks, which occur when the price breaks stop levels with confirmation based on additional price, volume, and momentum criteria. These alerts help identify significant shifts in the market.
Level Change Alerts: These alerts tell you whenever a new stop level is calculated, keeping you updated about changes in market dynamics. You can set a Minimum Level Change % to ensure that alerts are only triggered when the stop level changes significantly.
Require Volume Confirmation: You can opt to receive alerts only if the volume is above a certain threshold. This confirmation helps reduce false signals by ensuring that significant price changes are backed by increased trading activity.
Volume Multiplier: The volume multiplier allows you to set a minimum volume requirement that must be met for an alert to trigger. This ensures that alerts are triggered only when there is sufficient trading interest.
Here is a part of the updated alert logic that has been implemented in the indicator:
// Alert on break conditions
if alertsEnabled
if alertOnBreaks
if longStopBroken and isVolumeConfirmed()
alert(createAlertMessage("Support Break - Short Signal", useAdvancedStops), alertFreq)
if shortStopBroken and isVolumeConfirmed()
alert(createAlertMessage("Resistance Break - Long Signal", useAdvancedStops), alertFreq)
// Strong break alerts
if alertOnStrongBreaks
if longStopBroken and isStrongBreak(false)
alert(createAlertMessage("Strong Support Break - Short Signal", useAdvancedStops), alertFreq)
if shortStopBroken and isStrongBreak(true)
alert(createAlertMessage("Strong Resistance Break - Long Signal", useAdvancedStops), alertFreq)
// Level change alerts
if alertOnLevelChanges and isSignificantChange() and isVolumeConfirmed()
alert(createAlertMessage("Significant Level Change", useAdvancedStops), alertFreq)
Setting alerts allows you to react to market changes without having to watch the charts constantly. Alerts are particularly helpful if you have other responsibilities and can’t be actively monitoring your trades all day.
Understanding the Table Display
The WillStop Pro indicator provides a status table that gives an overview of the current market state. Here’s what the table shows:
Indicator Status: The table indicates whether the indicator is in a LONG or SHORT state. This helps you quickly understand the market trend.
Stop Level: The active stop level is shown, whether it is acting as support (long) or resistance (short). This is important for knowing where to set your protective stops.
Mode: The table also displays whether the advanced calculation mode is being used. This keeps you informed about how stop levels are being calculated and why they are positioned where they are.
Empowering Messages: The table also includes motivational messages that rotate periodically, such as 'Trade with Clarity, Stop with Precision' and 'Let Winners Run, Cut Losses Short.' These messages are designed to keep you focused, motivated, and disciplined during your trading journey.
The table is simple and easy to follow, helping you maintain discipline in your trading plan. By having all the essential information in one place, the table reduces the need to make quick, emotional decisions and promotes more thoughtful analysis.
Tips for Using WillStop Pro Effectively
Here are some practical ways to make the most of the WillStop Pro indicator:
Start with Default Settings: If you’re new to the indicator, start with the default settings. This will give you an idea of how stop levels are determined and how they adjust to different markets.
Experiment with Advanced Settings: Once you are comfortable, try using the advanced stop settings to see how they refine the stop levels. This can be useful in certain market conditions to improve accuracy.
Use Alerts to Stay Updated: Set up alerts for when a stop level is broken or when new levels are calculated. This helps you take action without constantly watching the chart. Swing traders may find alerts especially helpful for monitoring longer-term moves.
Monitor the Status Table: Keep an eye on the status table to understand the current market condition. Whether the indicator is in a LONG or SHORT state can help you make more informed decisions.
Focus on Risk Management: WillStop Pro is designed to help you manage risk by dynamically adjusting stop levels. Make sure you are using these levels to protect your trades, especially during strong trends or volatile periods.
Acknowledging Larry Williams' Influence
WillStop Pro is inspired by the work of Larry Williams, who described the approach as one of his best trading techniques. His method aims to ride major market trends while reducing the risk of giving back gains during corrections. WillStop Pro builds upon this approach, adding features like advanced stop settings and visual alerts that make it easier to apply in modern markets.
By using WillStop Pro, you are essentially leveraging a well-established trading strategy with additional tools that help improve its effectiveness. The indicator is designed to provide a reliable way to manage trades, stay on top of market conditions, and reduce emotional decision-making.
Conclusion: Why WillStop Pro is Great for Beginners and Advanced Users
The WillStop Pro is a powerful yet easy-to-use tool that helps traders ride trends while managing risk during market corrections. It can be used both for entering and exiting trades, and its visual features make it accessible for those who are new to trading, while the underlying logic appeals to advanced users seeking greater control and understanding.
WillStop Pro is more than just a tool for setting stops. It is a comprehensive solution for managing trades, with features like dynamic stop levels, customizable alerts, and an easy-to-understand status table. This combination of simplicity and advanced features makes it suitable for beginners as well as more experienced traders.
We hope this guide helps you get started with WillStop Pro and improves your trading confidence. Remember to start with the basics, explore the advanced features, and set alerts to stay informed without getting overwhelmed. Whether you’re just beginning or want to simplify your strategy, WillStop Pro is a valuable tool to have in your trading arsenal.
Trading can be challenging, but the right tools make it more manageable. WillStop Pro helps you keep track of market movements, identify opportunities, and manage risk effectively. Give it a try and see how it can improve your trading decisions and help you navigate the markets more efficiently.
By incorporating WillStop Pro into your strategy, you are following a systematic approach that has been refined over time. It’s designed to help you make sense of the markets, plan your trades, and manage your risks with greater clarity and confidence.
Note: Always practice proper risk management and thoroughly test the indicator to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
Trade smarter with TradeVizion—unlock your trading potential today!
Uptrick: DPO Signal & Zone Indicator
## **Uptrick: DPO Signal & Zone Indicator**
### **Introduction:**
The **Uptrick: DPO Signal & Zone Indicator** is a sophisticated technical analysis tool tailored to provide insights into market momentum, identify potential trading signals, and recognize extreme market conditions. It leverages the Detrended Price Oscillator (DPO) to strip out long-term trends from price movements, allowing traders to focus on short-term fluctuations and cyclical behavior. The indicator integrates multiple components, including a Detrended Price Oscillator, a Signal Line, a Histogram, and customizable alert levels, to deliver a robust framework for market analysis and trading decision-making.
### **Detailed Breakdown:**
#### **1. Detrended Price Oscillator (DPO):**
- **Purpose and Functionality:**
- The DPO is designed to filter out long-term trends from the price data, isolating short-term price movements. This helps in understanding the cyclical patterns and momentum of an asset, allowing traders to detect periods of acceleration or deceleration that might be overlooked when focusing solely on long-term trends.
- **Calculation:**
- **Formula:** `dpo = close - ta.sma(close, smaLength)`
- **`close`:** The asset’s closing price for each period in the dataset.
- **`ta.sma(close, smaLength)`:** The Simple Moving Average (SMA) of the closing prices over a period defined by `smaLength`.
- The DPO is derived by subtracting the SMA value from the current closing price. This calculation reveals how much the current price deviates from the moving average, effectively detrending the price data.
- **Interpretation:**
- **Positive DPO Values:** Indicate that the current price is higher than the moving average, suggesting bullish market conditions and a potential upward trend.
- **Negative DPO Values:** Indicate that the current price is lower than the moving average, suggesting bearish market conditions and a potential downward trend.
- **Magnitude of DPO:** Reflects the strength of momentum. Larger positive or negative values suggest stronger momentum in the respective direction.
#### **2. Signal Line:**
- **Purpose and Functionality:**
- The Signal Line is a smoothed average of the DPO, intended to act as a reference point for generating trading signals. It helps to filter out short-term fluctuations and provides a clearer perspective on the prevailing trend.
- **Calculation:**
- **Formula:** `signalLine = ta.sma(dpo, signalLength)`
- **`ta.sma(dpo, signalLength)`:** The SMA of the DPO values over a period defined by `signalLength`.
- The Signal Line is calculated by applying a moving average to the DPO values. This smoothing process reduces noise and highlights the underlying trend direction.
- **Interpretation:**
- **DPO Crossing Above Signal Line:** Generates a buy signal, suggesting that short-term momentum is turning bullish relative to the longer-term trend.
- **DPO Crossing Below Signal Line:** Generates a sell signal, suggesting that short-term momentum is turning bearish relative to the longer-term trend.
- **Signal Line’s Role:** Provides a benchmark for assessing the strength of the DPO. The interaction between the DPO and the Signal Line offers actionable insights into potential entry or exit points.
#### **3. Histogram:**
- **Purpose and Functionality:**
- The Histogram visualizes the difference between the DPO and the Signal Line. It provides a graphical representation of momentum strength and direction, allowing traders to quickly gauge market conditions.
- **Calculation:**
- **Formula:** `histogram = dpo - signalLine`
- The Histogram is computed by subtracting the Signal Line value from the DPO value. Positive values indicate that the DPO is above the Signal Line, while negative values indicate that the DPO is below the Signal Line.
- **Interpretation:**
- **Color Coding:**
- **Green Bars:** Represent positive values, indicating bullish momentum.
- **Red Bars:** Represent negative values, indicating bearish momentum.
- **Width of Bars:** Indicates the strength of momentum. Wider bars signify stronger momentum, while narrower bars suggest weaker momentum.
- **Zero Line:** A horizontal gray line that separates positive and negative histogram values. Crosses of the histogram through this zero line can signal shifts in momentum direction.
#### **4. Alert Levels:**
- **Purpose and Functionality:**
- Alert levels define specific thresholds to identify extreme market conditions, such as overbought and oversold states. These levels help traders recognize potential reversal points and extreme market conditions.
- **Inputs:**
- **`alertLevel1`:** Defines the upper threshold for identifying overbought conditions.
- **Default Value:** 0.5
- **`alertLevel2`:** Defines the lower threshold for identifying oversold conditions.
- **Default Value:** -0.5
- **Interpretation:**
- **Overbought Condition:** When the DPO exceeds `alertLevel1`, indicating that the market may be overbought. This condition suggests that the asset could be due for a correction or reversal.
- **Oversold Condition:** When the DPO falls below `alertLevel2`, indicating that the market may be oversold. This condition suggests that the asset could be poised for a rebound or reversal.
#### **5. Visual Elements:**
- **DPO and Signal Line Plots:**
- **DPO Plot:**
- **Color:** Blue
- **Width:** 2 pixels
- **Purpose:** To visually represent the deviation of the current price from the moving average.
- **Signal Line Plot:**
- **Color:** Red
- **Width:** 1 pixel
- **Purpose:** To provide a smoothed reference for the DPO and generate trading signals.
- **Histogram Plot:**
- **Color Coding:**
- **Green:** For positive values, signaling bullish momentum.
- **Red:** For negative values, signaling bearish momentum.
- **Style:** Histogram bars are displayed with varying width to represent the strength of momentum.
- **Zero Line:** A gray horizontal line separating positive and negative histogram values.
- **Overbought/Oversold Zones:**
- **Background Colors:**
- **Green Shading:** Applied when the DPO exceeds `alertLevel1`, indicating an overbought condition.
- **Red Shading:** Applied when the DPO falls below `alertLevel2`, indicating an oversold condition.
- **Horizontal Lines:**
- **Dotted Green Line:** At `alertLevel1`, marking the upper alert threshold.
- **Dotted Red Line:** At `alertLevel2`, marking the lower alert threshold.
- **Purpose:** To provide clear visual cues for extreme market conditions, aiding in the identification of potential reversal points.
#### **6. Trading Signals and Alerts:**
- **Buy Signal:**
- **Trigger:** When the DPO crosses above the Signal Line.
- **Visual Representation:** A "BUY" label appears below the price bar in the specified buy color.
- **Purpose:** Indicates a potential buying opportunity as short-term momentum turns bullish.
- **Sell Signal:**
- **Trigger:** When the DPO crosses below the Signal Line.
- **Visual Representation:** A "SELL" label appears above the price bar in the specified sell color.
- **Purpose:** Indicates a potential selling opportunity as short-term momentum turns bearish.
- **Overbought/Oversold Alerts:**
- **Overbought Alert:** Triggered when the DPO crosses below `alertLevel1`.
- **Oversold Alert:** Triggered when the DPO crosses above `alertLevel2`.
- **Visual Representation:** Labels "OVERBOUGHT" and "OVERSOLD" appear with distinctive colors and sizes to highlight extreme conditions.
- **Purpose:** To signal potential reversal points and extreme market conditions that may lead to price corrections or trend reversals.
- **Alert Conditions:**
- **DPO Cross Above Signal Line:** Alerts traders when the DPO crosses above the Signal Line, generating a buy signal.
- **DPO Cross Below Signal Line:** Alerts traders when the DPO crosses below the Signal Line, generating a sell signal.
- **DPO Above Upper Alert Level:** Alerts when the DPO is above `alertLevel1`, indicating an overbought condition.
- **DPO Below Lower Alert Level:** Alerts when the DPO is below `alertLevel2`, indicating an oversold condition.
- **Purpose:** To provide real-time notifications of significant market events, enabling traders to make informed decisions promptly.
### **Practical Applications:**
#### **1. Trend Following Strategies:**
- **Objective:**
- To capture and ride the prevailing market trends by entering trades that align with the direction of the momentum.
- **How to Use:**
- Monitor buy and sell signals generated by the DPO crossing the Signal Line. A buy signal suggests a bullish trend and a potential long trade, while a sell signal suggests a bearish trend and a potential short trade.
- Use the Histogram to confirm the strength of the trend. Expanding green bars indicate strong bullish momentum, while expanding red bars indicate strong bearish momentum.
- **Advantages:**
- Helps traders stay aligned with the market trend, increasing the likelihood of capturing substantial price moves.
#### **2. Reversal Trading:**
- **Objective:**
- To identify potential market reversals
by detecting overbought and oversold conditions.
- **How to Use:**
- Look for overbought and oversold signals based on the DPO crossing `alertLevel1` and `alertLevel2`. These conditions suggest that the market may be due for a reversal.
- Confirm reversal signals with the Histogram. A decrease in histogram bars (from green to red or vice versa) may support the reversal hypothesis.
- **Advantages:**
- Provides early warnings of potential market reversals, allowing traders to position themselves before significant price changes occur.
#### **3. Momentum Analysis:**
- **Objective:**
- To gauge the strength and direction of market momentum for making informed trading decisions.
- **How to Use:**
- Analyze the Histogram to assess momentum strength. Positive and expanding histogram bars indicate increasing bullish momentum, while negative and expanding bars suggest increasing bearish momentum.
- Use momentum insights to validate or question existing trading positions and strategies.
- **Advantages:**
- Offers valuable information about the market's momentum, helping traders confirm the validity of trends and trading signals.
### **Customization and Flexibility:**
The **Uptrick: DPO Signal & Zone Indicator** offers extensive customization options to accommodate diverse trading preferences and market conditions:
- **SMA Length and Signal Line Length:**
- Adjust the `smaLength` and `signalLength` parameters to control the sensitivity and responsiveness of the DPO and Signal Line. Shorter lengths make the indicator more responsive to price changes, while longer lengths provide smoother, less volatile signals.
- **Alert Levels:**
- Modify `alertLevel1` and `alertLevel2` to fit varying market conditions and volatility. Setting these levels appropriately helps tailor the indicator to different asset classes and trading strategies.
- **Color and Shape Customization:**
- Customize the colors and sizes of buy/sell signals, histogram bars, and alert levels to enhance visual clarity and align with personal preferences. This customization helps ensure that the indicator integrates seamlessly with a trader's charting setup.
### **Conclusion:**
The **Uptrick: DPO Signal & Zone Indicator** is a multifaceted analytical tool that combines the power of the Detrended Price Oscillator with customizable visual elements and alert levels to deliver a comprehensive approach to market analysis. By offering insights into momentum strength, trend direction, and potential reversal points, this indicator equips traders with valuable information to make informed decisions and enhance their trading strategies. Its flexibility and customization options ensure that it can be adapted to various trading styles and market conditions, making it a versatile addition to any trader's toolkit.
MACD All In One Screener [ChartPrime]INTRODUCTION
MACD All In One Screener (ChartPrime) is a multi instrument, multi timeframe indicator designed to provide traders with a comprehensive solution to monitoring the market. This indicator is designed to be easy to use and visually appealing while also being highly flexible and feature rich. Users can pick up to 10 symbols not including the chart's symbol and set up alerts for many different signals that the MACD produces. One standout feature of this indicator is its ability to display not only each symbol individually as a MACD but you can also view its chart from within this indicator. This removes the need to flip between symbols to see the price action for your basket.
On top of that we have designed this indicator to be friendly with "indicator on indicator" by providing outputs for all of the standards of price that users may want. Included is an overview section that shows all of the symbols signals symbolically over time. Additionally we have included a table for easy monitoring. This table includes the symbol, its timeframe, the current alert, and its histogram state. To make things as user friendly as possible we have also included rich error handling that tells you exactly what is wrong with your configuration.
HOW TO USE
To use this indicator, simply add it to your chart and navigate to the settings. From there select the symbols you want to monitor and the timeframes you want to use. Next you want to navigate down to the alerts section to select the what alerts you want to receive, and what symbols you want to get alerts for. Finally, you wan to create your alert using "Any alert() function call". Now your screener is all set up!
OVERVIEW OF INPUTS
View allows you to select what the indicator currently displays. You can pick from any one of the selected symbols, an overview of all of the symbols, or simply nothing. If you want to only use the table, "None" is provided so you can move the indicator into the chart panel.
View Toggle lets you pick from displaying the MACD for the selected symbol or the Price Action as a candle chart. To see your "indicator on indicator" you will have to select a symbol from the view list. There is a bug where if you select "Overview" while you are using "indicator on indicator" your added indicator will see the last symbol you viewed. To fix this, simply change the setting of your overlaid indicator and it will correct its self.
History Length is the number of historical bars to calculate over. This feature is here to prevent the indicator from breaking due to uneven historical data between the symbols.
Show Price Line toggles a dotted line that follows the current symbols closing price when "Price" is selected under the "View Toggle" dropdown.
Show Symbol Label toggles a label that displays the current symbols name and timeframe. This only impacts the single symbol view.
Overview Label Color adjusts the color of the symbol labels for both overview and single symbol view.
MA Type lets you pick what kind of moving average you want to use for the oscillator or signal. You can pick from the standard SMA or EMA.
Fast Length is a standard input for MACD. This lets you pick the period of the fast MA.
Slow Length , just like Fast Lenght, is a standard input for MACD. This lets you pick the period of the slow MA.
Signal Length is another standard input for MACD. This lets you configure the period of the signal MA.
MACD Cross Overlay Icon is a toggle to display MACD crosses when viewing a single symbol's MACD. When the MACD has a bullish cross it will plot a bullish dot, and when it has a bearish cross it will plot a bearish dot. This is purely visual.
Regular Bullish and Bearish toggles the visual display of the divergences on the single symbol view. This does not effect the indicators ability do send alerts.
Divergence Look Right adjusts the number of bars into the future to look for confirmation of a signal. This directly impacts lag but enhances stability.
Divergence Look Left adjusts the number of bars into the past to check for a signal. A longer period will filter out smaller moves
Maximum Lookback adjusts the maximum size of a divergence.
Minimum Lookback adjusts the minimum size of a divergence.
Divergence Drawings picks how you want to visualize the divergence. You can pick from displaying it as a line, a label, or both.
Enable Table toggles the overview table. When enabled it will show you the enabled symbols and their current state. From left to right: symbol name, timeframe, current alert, and histogram state.
Position picks where on the chart you want the table to be.
Text Color adjusts the text color of the table.
BG Color adjusts the background color of the table.
Frame Color adjust the frame color of the table.
Current Symbol Time Frame adjusts the timeframe of the chart's symbol.
Symbol 1 - 10 pick "Symbol's" symbol and timeframe. To use higher timeframes, the symbol's have to be the same type. You can't have a crypto and a stock using HTF at the same time as they don't have the same sessions and will result in an error. You can use unsafe mode (as described below) to potentially get around this.
Enable Symbol when enabled it will give you alerts for the symbol. This also enables the symbol in the overview. If this is disabled it won't send alerts, and it will not show up in overview, or the table.
Wait for Close enables waiting for the bar to close before printing an alert.
Alert Symbol Size picks what size you want the overview symbols to be.
Enable Cross Over 0 Alert: MACD crosses over the 0 line.
Enable Cross Under 0 Alert: MACD crosses under the 0 line.
Enable MACD Cross Bullish Alert: Bullish MACD cross.
Enable MACD Cross Bearish Alert: Bearish MACD cross.
Enable Histogram Bullish Turn Alert: MACD begins to turn bullish but hasn't crossed.
Enable Histogram Bearish Turn Alert: MACD begins to turn bearish but hasn't crossed.
Enable Histogram Bullish Continuation Alert: MACD is in a bullish cross state and it was declining but began rising again.
Enable Histogram Bearish Continuation Alert: MACD is in a bearish cross state and it was rising but began falling again.
Enable Bullish/Bearish Divergence Alert enables divergence alerts. Divergences are lagging, especially on a higher timeframe. These alerts will also tell you the time in the past when the divergence occurred.
Color Section is provided to allow for personalization of the indicator. Everything can be adjusted here.
Disable Error Checking: Only enable this if you want to bypass the built in error checking. This will enable 'Safe Requesting'. Safe Requesting will only request enabled symbols and you will not be able to view symbols that are not enabled in this mode. Only use this if you want to mix symbol types and you know it will work. (An example would be viewing stocks and SPY at the same time.)
CONCLUSION
The MACD All In One Screener (ChartPrime) is a versatile indicator designed to monitor multiple symbols across various timeframes. The flexibility in customization, from MACD settings to visual alerts and table presentations, allows users to tailor the screener to their needs and preferences. We hope you find this as useful and interesting as we do and wish you good luck in the market!
Enjoy
[e2] Drawing Library :: Horizontal Ray█ OVERVIEW
Library "e2hray"
A drawing library that contains the hray() function, which draws a horizontal ray/s with an initial point determined by a specified condition. It plots a ray until it reached the price. The function let you control the visibility of historical levels and setup the alerts.
█ HORIZONTAL RAY FUNCTION
hray(condition, level, color, extend, hist_lines, alert_message, alert_delay, style, hist_style, width, hist_width)
Parameters:
condition : Boolean condition that defines the initial point of a ray
level : Ray price level.
color : Ray color.
extend : (optional) Default value true, current ray levels extend to the right, if false - up to the current bar.
hist_lines : (optional) Default value true, shows historical ray levels that were revisited, default is dashed lines. To avoid alert problems set to 'false' before creating alerts.
alert_message : (optional) Default value string(na), if declared, enables alerts that fire when price revisits a line, using the text specified
alert_delay : (optional) Default value int(0), number of bars to validate the level. Alerts won't trigger if the ray is broken during the 'delay'.
style : (optional) Default value 'line.style_solid'. Ray line style.
hist_style : (optional) Default value 'line.style_dashed'. Historical ray line style.
width : (optional) Default value int(1), ray width in pixels.
hist_width : (optional) Default value int(1), historical ray width in pixels.
Returns: void
█ EXAMPLES
• Example 1. Single horizontal ray from the dynamic input.
//@version=5
indicator("hray() example :: Dynamic input ray", overlay = true)
import e2e4mfck/e2hray/1 as e2draw
inputTime = input.time(timestamp("20 Jul 2021 00:00 +0300"), "Date", confirm = true)
inputPrice = input.price(54, 'Price Level', confirm = true)
e2draw.hray(time == inputTime, inputPrice, color.blue, alert_message = 'Ray level re-test!')
var label mark = label.new(inputTime, inputPrice, 'Selected point to start the ray', xloc.bar_time)
• Example 2. Multiple horizontal rays on the moving averages cross.
//@version=5
indicator("hray() example :: MA Cross", overlay = true)
import e2e4mfck/e2hray/1 as e2draw
float sma1 = ta.sma(close, 20)
float sma2 = ta.sma(close, 50)
bullishCross = ta.crossover( sma1, sma2)
bearishCross = ta.crossunder(sma1, sma2)
plot(sma1, 'sma1', color.purple)
plot(sma2, 'sma2', color.blue)
// 1a. We can use 2 function calls to distinguish long and short sides.
e2draw.hray(bullishCross, sma1, color.green, alert_message = 'Bullish Cross Level Broken!', alert_delay = 10)
e2draw.hray(bearishCross, sma2, color.red, alert_message = 'Bearish Cross Level Broken!', alert_delay = 10)
// 1b. Or a single call for both.
// e2draw.hray(bullishCross or bearishCross, sma1, bullishCross ? color.green : color.red)
• Example 3. Horizontal ray at the all time highs with an alert.
//@version=5
indicator("hray() example :: ATH", overlay = true)
import e2e4mfck/e2hray/1 as e2draw
var float ath = 0, ath := math.max(high, ath)
bool newAth = ta.change(ath)
e2draw.hray(nz(newAth ), high , color.orange, alert_message = 'All Time Highs Tested!', alert_delay = 10)
Zignaly TutorialThis strategy serves as a beginner's guide to connect TradingView signals to Zignaly Crypto Trading Platform.
It was originally tested at BTCUSDT pair and 1D timeframe.
Before using this documentation it's recommended that you:
Use default TradingView strategy script or another script and setup its associated alert manually. Just make the alert pop-up in the screen.
Create a 'Copy-Trader provider' (or Signal Provider) in Zignaly and send signals to it either thanks to your browser or with some basic programming.
SETTINGS
__ SETTINGS - Capital
(CAPITAL) Capital quote invested per order in USDT units {100.0}. This setting is only used when '(ZIG) Provider type' is set to 'Signal Provider'.
(CAPITAL) Capital percentage invested per order (%) {25.0}. This setting is only used when '(ZIG) Provider type' is set to 'Copy Trader Provider'.
__ SETTINGS - Misc
(ZIG) Enable Alert message {True}: Whether to enable alert message or not.
(DEBUG) Enable debug on order comments {True}: Whether to show alerts on order comments or not.
Number of decimal digits for Prices {2}.
(DECIMAL) Maximum number of decimal for contracts {3}.
__ SETTINGS - Zignaly
(ZIG) Integration type {TradingView only}: Hybrid : Both TradingView and Zignaly handle take profit, trailing stops and stop losses. Useful if you are scared about TradingView not firing an alert. It might arise problems if TradingView and Zignaly get out of sync. TradingView only : TradingView sends entry and exit orders to Zignaly so that Zignaly only buys or sells. Zignaly won't handle stop loss or other settings on its own.
(ZIG) Zignaly Alert Type {WebHook}: 'Email' or 'WebHook'.
(ZIG) Provider type {Copy Trader Provider}: 'Copy Trader Provider' or 'Signal Provider'. 'Copy Trader Provider' sends a percentage to manage. 'Signal Provider' sends a quote to manage.
(ZIG) Exchange: 'Binance' or 'Kucoin'.
(ZIG) Exchange Type {Spot}: 'Spot' or 'Futures'.
(ZIG) Leverage {1}. Set it to '1' when '(ZIG) Exchange Type' is set to 'Spot'.
__ SETTINGS - Strategy
(STRAT) Strategy Type: 'Long and Short', 'Long Only' or 'Short Only'.
(STOPTAKE) Take Profit? {false}: Whether to enable Take Profit.
(STOPTAKE) Stop Loss? {True}: Whether to enable Stop Loss.
(TRAILING) Enable Trailing Take Profit (%) {True}: Whether to enable Trailing Take Profit.
(STOPTAKE) Take Profit % {3.0}: Take profit percentage. This setting is only used when '(STOPTAKE) Take Profit?' setting is set to true.
(STOPTAKE) Stop Loss % {2.0}: Stop loss percentage. This setting is only used when '(STOPTAKE) Stop Loss?' setting is set to true.
(TRAILING) Trailing Take Profit Trigger (%) {2.5}: Trailing Stop Trigger Percentage. This setting is only used when '(TRAILING) Enable Trailing Take Profit (%)' setting is set to true.
(TRAILING) Trailing Take Profit as a percentage of Trailing Take Profit Trigger (%) {25.0}: Trailing Stop Distance Percentage. This setting is only used when '(TRAILING) Enable Trailing Take Profit (%)' setting is set to true.
(RECENT) Number of minutes to wait to open a new order after the previous one has been opened {6}.
DEFAULT SETTINGS
By default this strategy has been setup with these beginner settings:
'(ZIG) Integration type' : TradingView only
'(ZIG) Provider type' : 'Copy Trader Provider'
'(ZIG) Exchange' : 'Binance'
'(ZIG) Exchange Type' : 'Spot'
'(STRAT) Strategy Type' : 'Long Only'
'(ZIG) Leverage' : '1' (Or no leverage)
but you can change those settings if needed.
FIRST STEP
For both future of spot markets you should make sure to change '(ZIG) Zignaly Alert Type' to match either WebHook or Email. If you have a non paid account in TradingView as in October 2020 you would have to use Email which it's free to use.
RECOMMENDED SETTINGS
__ RECOMMENDED SETTINGS - Spot markets
'(ZIG) Exchange Type' setting should be set to 'Spot'
'(STRAT) Strategy Type' setting should be set to 'Long Only'
'(ZIG) Leverage' setting should be set to '1'
__ RECOMMENDED SETTINGS - Future markets
'(ZIG) Exchange Type' setting should be set to 'Futures'
'(STRAT) Strategy Type' setting should be set to 'Long and Short'
'(ZIG) Leverage' setting might be changed if desired.
__ RECOMMENDED SETTINGS - Signal Providers
'(ZIG) Provider type' setting should be set to 'Signal Provider'
'(CAPITAL) Capital quote invested per order in USDT units' setting might be changed if desired.
__ RECOMMENDED SETTINGS - Copy Trader Providers
'(ZIG) Provider type' setting should be set to 'Copy Trader Provider'
'(CAPITAL) Capital percentage invested per order (%)' setting might be changed if desired.
Strategy Properties setting: 'Initial Capital' might be changed if desired.
INTEGRATION TYPE EXPLANATION
'Hybrid': Both TradingView and Zignaly handle take profit, trailing stops and stop losses. Useful if you are scared about TradingView not firing an alert. It might arise problems if TradingView and Zignaly get out of sync.
'TradingView only': TradingView sends entry and exit orders to Zignaly so that Zignaly only buys or sells. Zignaly won't handle stop loss or other settings on its own.
HOW TO USE THIS STRATEGY
Beginner: Copy and paste the strategy and change it to your needs. Turn off '(DEBUG) Enable debug on order comments' setting.
Medium: Reuse functions and inputs from this strategy into your own as if it was a library.
Advanced: Check Strategy Tester. List of trades. Copy and paste the different suggested 'alert_message' variable contents to your script.
Expert: I needed a way to pass data from TradingView script to the alert. Now I know it's the 'alert_message' variable. I can do this own my own.
ALERTS SETUP
This is the important piece of information that allows you to connect TradingView to Zignaly in a semi-automatic manner.
__ ALERTS SETUP - WebHook
Webhook URL: https : // zignaly . com / api / signals.php?key=MYSECRETKEY
Message: { {{strategy.order.alert_message}} , "key" : "MYSECRETKEY" }
__ ALERTS SETUP - Email
Setup a new Hotmail account
Add it as an 'SMS email' in TradingView Profile settings page.
Confirm your own the email address
Create a rule in your Hotmail account that 'Redirects' (not forwards) emails to 'signals @ zignaly . email' when (1): 'Subject' includes 'Alert', (2): 'Email body' contains string 'MYZIGNALYREDIRECTTRIGGER' and (3): 'From' contains 'noreply @ tradingview . com'.
In 'More Actions' check: Send Email-to-SMS
Message: ||{{strategy.order.alert_message}}||key=MYSECRETKEY||
MYZIGNALYREDIRECTTRIGGER
'(DEBUG) Enable debug on order comments' is turned on by default so that you can see in the Strategy Tester. List of Trades. The different orders alert_message that would have been sent to your alert. You might want to turn it off it some many letters in the screen is problem.
STRATEGY ADVICE
If you turn on 'Take Profit' then turn off 'Trailing Take Profit'.
ZIGNALY SIDE ADVICE
If you are a 'Signal Provider' make sure that 'Allow reusing the same signalId if there isn't any open position using it?' setting in the profile tab is set to true.
You can find your 'MYSECRETKEY' in your 'Copy Trader/Signal' provider Edit tab at 'Signal URL'.
ADDITIONAL ZIGNALY DOCUMENTATION
docs . zignaly . com / signals / how-to -- How to send signals to Zignaly
3 Ways to send signals to Zignaly
SIGNALS
FINAL REMARKS
This strategy tries to match the Pine Script Coding Conventions as best as possible.
HSM KILLZONE//@version=5
indicator('HSM KILLZONE', 'HSM KILLZONE', overlay=true, max_bars_back=500, explicit_plot_zorder=true)
import boitoki/AwesomeColor/4 as ac
import boitoki/Utilities/3 as util
///////////////
// Groups
///////////////
g0 = 'GENERAL'
g1_01 = '♯1 SESSION'
g1_02 = '♯2 SESSION'
g1_03 = '♯3 SESSION'
g1_04 = '♯4 SESSION'
g4 = 'BOX'
g6 = 'LABELS'
g5 = 'OPENING RANGE'
g7 = 'FIBONACCI LEVELS'
g8 = 'OPTIONS'
g11 = 'CANDLE'
g10 = 'Alerts visualized'
///////////////
// Defined
///////////////
max_bars = 500
option_yes = 'Yes'
option_no = '× No'
option_extend1 = 'Yes'
option_hide = '× Hide'
option_border_style1 = '────'
option_border_style2 = '- - - - - -'
option_border_style3 = '•••••••••'
option_chart_x = '× No'
option_chart_1 = 'Bar color'
option_chart_2 = 'Candles'
fmt_price = '{0,number,#.#####}'
fmt_pips = '{0,number,#.#}'
icon_separator = ' • '
color_none = color.new(color.black, 100)
color_text = color.new(color.white, 0)
///////////////
// Functions
///////////////
f_get_time_by_bar(bar_count) => timeframe.multiplier * bar_count * 60 * 1000
f_border_style (_style) =>
switch _style
option_border_style1 => line.style_solid
option_border_style2 => line.style_dashed
option_border_style3 => line.style_dotted
=> _style
f_get_period (_session, _start, _lookback) =>
result = math.max(_start, 1)
for i = result to _lookback
if na(_session ) and _session
result := i+1
break
result
f_get_label_position (_y, _side) =>
switch _y
'top' => _side == 'outside' ? label.style_label_lower_left : label.style_label_upper_left
'bottom' => _side == 'outside' ? label.style_label_upper_left : label.style_label_lower_left
f_get_started (_session) => na(_session ) and _session
f_get_ended (_session) => na(_session) and _session
f_message_limit_bars (_v) => '⚠️ This box\'s right position exceeds 500 bars(' + str.tostring(_v) + '). This box is not displayed correctly.'
f_set_line_x1 (_line, _x) =>
if (line.get_x1(_line) != _x)
line.set_x1(_line, _x)
f_set_line_x2 (_line, _x) =>
if (line.get_x2(_line) != _x)
line.set_x2(_line, _x)
f_set_box_right (_box, _x) =>
if box.get_right(_box) != _x
box.set_right(_box, _x)
///////////////
// Inputs
///////////////
// Timezone
i_tz = input.string('GMT-4', title='Timezone', options= , tooltip='e.g. \'America/New_York\', \'Asia/Tokyo\', \'GMT-4\', \'GMT+9\'...', group=g0)
i_history_period = input.int(10, 'History', minval=0, group=g0)
i_show = i_history_period > 0
i_lookback = 12 * 60
// Sessions
i_show_sess1 = input.bool(true, 'Session 1 ', group=g1_01, inline='session1_1') and i_show
i_sess1_label = input.string('New York AM', '', group=g1_01, inline='session1_1')
i_sess1_color = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1_barcolor1 = input.color(#0a0a0a, '•', group=g1_01, inline='session1_1')
i_sess1_barcolor2 = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1 = input.session('0700-1100', 'Time', group=g1_01)
i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01)
i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no
i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show
i_sess1_chart = input.string(option_chart_x, 'Bar', options= , group=g1_01)
i_sess1_barcolor = i_sess1_chart == option_chart_1
i_sess1_plotcandle = i_sess1_chart == option_chart_2
i_show_sess2 = input.bool(true, 'Session 2 ', group=g1_02, inline='session2_1') and i_show
i_sess2_label = input.string('New York PM', '', group=g1_02, inline='session2_1')
i_sess2_color = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2_barcolor1 = input.color(#0a0a0a, '•', group=g1_02, inline='session2_1')
i_sess2_barcolor2 = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2 = input.session('1300-1600', 'Time', group=g1_02)
i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02)
i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no
i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show
i_sess2_chart = input.string(option_chart_x, 'Bar', options= , group=g1_02)
i_sess2_barcolor = i_sess2_chart == option_chart_1
i_sess2_plotcandle = i_sess2_chart == option_chart_2
i_show_sess3 = input.bool(true, 'Session 3 ', group=g1_03, inline='session3_1') and i_show
i_sess3_label = input.string('Asian Sesh', '', group=g1_03, inline='session3_1')
i_sess3_color = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3_barcolor1 = input.color(#0a0a0a, '•', group=g1_03, inline='session3_1')
i_sess3_barcolor2 = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3 = input.session('2000-0000', 'Time', group=g1_03)
i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03)
i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no
i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show
i_sess3_chart = input.string(option_chart_x, 'Bar', options= , group=g1_03)
i_sess3_barcolor = i_sess3_chart == option_chart_1
i_sess3_plotcandle = i_sess3_chart == option_chart_2
i_show_sess4 = input.bool(true, 'Session 4 ', group=g1_04, inline='session4_1') and i_show
i_sess4_label = input.string('London', '', group=g1_04, inline='session4_1')
i_sess4_color = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4_barcolor1 = input.color(#0a0a0a, '•', group=g1_04, inline='session4_1')
i_sess4_barcolor2 = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4 = input.session('0200-0500', 'Time', group=g1_04)
i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04)
i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no
i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show
i_sess4_chart = input.string(option_chart_x, 'Bar', options= , group=g1_04)
i_sess4_barcolor = i_sess4_chart == option_chart_1
i_sess4_plotcandle = i_sess4_chart == option_chart_2
// Show & Styles
i_sess_box_style = input.string('Box', 'Style', options= , group=g4)
i_sess_border_style = f_border_style(input.string(option_border_style2, 'Line style', options= , group=g4))
i_sess_border_width = input.int(1, 'Thickness', minval=0, group=g4)
i_sess_bgopacity = input.int(94, 'Transp', minval=0, maxval=100, step=1, group=g4, tooltip='Setting the 100 is no background color')
// Candle
option_candle_body = 'OC'
option_candle_wick = 'OHLC'
i_candle = input.string(option_hide, 'Display', options= , group=g11)
i_candle_border_width = input.int(2, 'Thickness', minval=0, group=g11)
i_show_candle = (i_candle != option_hide) and (i_candle_border_width > 0)
i_show_candle_wick = i_candle == option_candle_wick
option_candle_color1 = 'Session\'s'
option_candle_color2 = 'Red • Green'
i_candle_color = input.string(option_candle_color2, 'Color ', options= , group=g11, inline='candle_color')
i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_color')
i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_color')
// Labels
i_label_show = input.bool(true, 'Labels', inline='label_show', group=g6) and i_show
i_label_size = str.lower(input.string('Small', '', options= , inline='label_show', group=g6))
i_label_position_y = str.lower(input.string('Top', '', options= , inline='label_show', group=g6))
i_label_position_s = str.lower(input.string('Outside', '', options= , inline='label_show', group=g6))
i_label_position = f_get_label_position(i_label_position_y, i_label_position_s)
i_label_format_name = input.bool(true, 'Name', inline='label_format', group=g6)
i_label_format_day = input.bool(false, 'Day', inline='label_format', group=g6)
i_label_format_price = input.bool(false, 'Price', inline='label_format', group=g6)
i_label_format_pips = input.bool(false, 'Pips', inline='label_format', group=g6)
// Fibonacci levels
i_f_linestyle = f_border_style(input.string(option_border_style1, title="Style", options= , group=g7))
i_f_linewidth = input.int(1, title="Thickness", minval=1, group=g7)
// Opening range
i_o_minutes = input.int(15, title='Periods (minutes)', minval=1, step=1, group=g5)
i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1)
i_o_transp = input.int(88, title='Transp', minval=0, maxval=100, step=1, group=g5)
// Alerts
i_alert1_show = input.bool(false, 'Alerts - Sessions stard/end', group=g10)
i_alert2_show = input.bool(false, 'Alerts - Opening range breakouts', group=g10)
i_alert3_show = input.bool(false, 'Alerts - Price crossed session\'s High/Low after session closed', group=g10)
// ------------------------
// Drawing labels
// ------------------------
f_render_label (_show, _session, _is_started, _color, _top, _bottom, _text, _labels) =>
var label my_label = na
var int start_time = na
v_position_y = (i_label_position_y == 'top') ? _top : _bottom
v_label = array.new_string()
v_chg = _top - _bottom
if _is_started
start_time := time
if i_label_format_name and not na(_text)
array.push(v_label, _text)
if i_label_format_day
array.push(v_label, util.get_day(dayofweek(start_time, i_tz)))
if i_label_format_price
array.push(v_label, str.format(fmt_price, v_chg))
if i_label_format_pips
array.push(v_label, str.format(fmt_pips, util.toPips(v_chg)) + ' pips')
if _show
if _is_started
my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=color_none, size=i_label_size, style=i_label_position)
array.push(_labels, my_label)
util.clear_labels(_labels, i_history_period)
else if _session
label.set_y(my_label, v_position_y)
label.set_text(my_label, array.join(v_label, icon_separator))
// ------------------------
// Drawing Fibonacci levels
// ------------------------
f_render_fibonacci (_show, _session, _is_started, _x1, _x2, _color, _top, _bottom, _level, _width, _style, _is_extend, _lines) =>
var line my_line = na
if _show
y = (_top - _bottom) * _level + _bottom
if _is_started
my_line := line.new(_x1, y, _x2, y, width=_width, color=color.new(_color, 30), style=_style)
array.push(_lines, my_line)
if _is_extend
line.set_extend(my_line, extend.right)
else if _session
line.set_y1(my_line, y)
line.set_y2(my_line, y)
f_set_line_x2(my_line, _x2)
// ------------------------
// Drawing Opening range
// ------------------------
f_render_oprange (_show, _session, _is_started, _x1, _x2, _color, _max, _is_extend, _boxes) =>
var int start_time = na
var box my_box = na
top = ta.highest(high, _max)
bottom = ta.lowest(low, _max)
is_crossover = ta.crossover(close, box.get_top(my_box))
is_crossunder = ta.crossunder(close, box.get_bottom(my_box))
if _show
if _is_started
util.clear_boxes(_boxes, math.max(0, i_history_period - 1))
start_time := time
my_box := na
else if _session
time_op = start_time + (i_o_minutes * 60 * 1000)
time_op_delay = time_op - f_get_time_by_bar(1)
if time <= time_op and time > time_op_delay
my_box := box.new(_x1, top, _x2, bottom, border_width=0, bgcolor=color.new(_color, i_o_transp))
array.push(_boxes, my_box)
if _is_extend
box.set_extend(my_box, extend.right)
my_box
else
f_set_box_right(my_box, _x2)
if is_crossover
alert('Price crossed over the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_top(my_box), "×", color=color.blue, textcolor=ac.tradingview('blue'), style=label.style_none, size=size.large)
if is_crossunder
alert('Price crossed under the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_bottom(my_box), "×", color=color.red, textcolor=ac.tradingview('red'), style=label.style_none, size=size.large)
my_box
// ------------------------
// Drawing candle
// ------------------------
f_render_candle (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2, _boxes, _lines) =>
var box body = na
var line wick1 = na
var line wick2 = na
border_width = i_candle_border_width
cx = math.round(math.avg(_x2, _x1)) - math.round(border_width / 2)
body_color = i_candle_color == option_candle_color2 ? close > _open ? i_candle_color_g : i_candle_color_r : _color
if _show
if _is_started
body := box.new(_x1, _top, _x2, _bottom, body_color, border_width, line.style_solid, bgcolor=color.new(color.black, 100))
wick1 := i_show_candle_wick ? line.new(cx, _top, cx, _top, color=_color, width=border_width, style=line.style_solid) : na
wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=_color, width=border_width, style=line.style_solid) : na
array.push(_boxes, body)
array.push(_lines, wick1)
array.push(_lines, wick2)
util.clear_boxes(_boxes, i_history_period)
util.clear_lines(_lines, i_history_period * 2)
else if _session
top = math.max(_open, close)
bottom = math.min(_open, close)
box.set_top(body, top)
box.set_bottom(body, bottom)
box.set_right(body, _x2)
box.set_border_color(body, body_color)
line.set_y1(wick1, _top)
line.set_y2(wick1, top)
f_set_line_x1(wick1, cx)
f_set_line_x2(wick1, cx)
line.set_color(wick1, body_color)
line.set_y1(wick2, _bottom)
line.set_y2(wick2, bottom)
f_set_line_x1(wick2, cx)
f_set_line_x2(wick2, cx)
line.set_color(wick2, body_color)
else if _is_ended
box.set_right(body, bar_index)
// ------------------------
// Rendering limit message
// ------------------------
f_render_limitmessage (_show, _session, _is_started, _is_ended, _x, _y, _rightbars) =>
var label my_note = na
if _show
if _is_started
if _rightbars > max_bars
my_note := label.new(_x, _y, f_message_limit_bars(_rightbars), style=label.style_label_upper_left, color=color.yellow, textalign=text.align_left, yloc=yloc.price)
else if _session
if _rightbars > max_bars
label.set_y(my_note, _y)
label.set_text(my_note, f_message_limit_bars(_rightbars))
else
label.delete(my_note)
else if _is_ended
label.delete(my_note)
true
// Rendering session
//
f_render_sessionrange (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _lines) =>
var line above_line = na
var line below_line = na
if _show
if _is_started
above_line := line.new(_x1, _top, _x2, _top, width=i_sess_border_width, style=i_sess_border_style, color=_color)
below_line := line.new(_x1, _bottom, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color)
linefill.new(above_line, below_line, color.new(_color, i_sess_bgopacity))
array.push(_lines, above_line)
array.push(_lines, below_line)
util.clear_lines(_lines, i_history_period * 2)
if _is_extend
line.set_extend(above_line, extend.right)
line.set_extend(below_line, extend.right)
else if _session
line.set_y1(above_line, _top)
line.set_y2(above_line, _top)
line.set_x2(above_line, _x2)
line.set_y1(below_line, _bottom)
line.set_y2(below_line, _bottom)
line.set_x2(below_line, _x2)
true
else if _is_ended
true
true
// ------------------------
// Rendering session box
// ------------------------
f_render_session (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _boxes) =>
var box my_box = na
if _show
if _is_started
my_box := box.new(_x1, _top, _x2, _bottom, _color, i_sess_border_width, i_sess_border_style, bgcolor=color.new(_color, i_sess_bgopacity))
array.push(_boxes, my_box)
util.clear_boxes(_boxes, i_history_period)
if _is_extend
box.set_extend(my_box, extend.right)
else if _session
box.set_top(my_box, _top)
box.set_bottom(my_box, _bottom)
f_set_box_right(my_box, _x2)
else if _is_ended
box.set_right(my_box, bar_index)
my_box
// ------------------------
// Drawing market
// ------------------------
f_render_main (_show, _session, _is_started, _is_ended, _color, _top, _bottom) =>
var box my_box = na
var label my_note = na
var x1 = 0
var x2 = 0
var session_open = 0.0
var session_high = 0.0
var session_low = 0.0
x0_1 = ta.valuewhen(na(_session ) and _session, bar_index, 1)
x0_2 = ta.valuewhen(na(_session) and _session , bar_index, 0)
x0_d = math.abs(x0_2 - x0_1)
limit_bars = max_bars
rightbars = x0_d
if _show
if _is_started
x1 := bar_index
x2 := bar_index + (math.min(x0_d, limit_bars))
session_open := open
session_high := _top
session_low := _bottom
else if _session
true_x2 = x1 + x0_d
rightbars := true_x2 - bar_index
limit_bars := bar_index + max_bars
x2 := math.min(true_x2, limit_bars)
session_high := _top
session_low := _bottom
else if _is_ended
session_open := na
// ------------------------
// Drawing
// ------------------------
draw (_show, _session, _color, _label, _extend, _show_fib, _show_op, _lookback, _boxes_session, _lines_session, _boxes_candle_body, _lines_candle_wick, _boxes_op, _lines_fib, _labels) =>
max = f_get_period(_session, 1, _lookback)
top = ta.highest(high, max)
bottom = ta.lowest(low, max)
is_started = f_get_started(_session)
is_ended = f_get_ended(_session)
is_extend = _extend != option_no
= f_render_main(_show, _session, is_started, is_ended, _color, top, bottom)
if i_sess_box_style == 'Box'
f_render_session(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _boxes_session)
if i_sess_box_style == 'Sandwich'
f_render_sessionrange(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _lines_session)
if i_show_candle
f_render_candle(_show, _session, is_started, is_ended, _color, top, bottom, _open, x1, x2, _boxes_candle_body, _lines_candle_wick)
if i_label_show
f_render_label(_show, _session, is_started, _color, top, bottom, _label, _labels)
if _show_op
f_render_oprange(_show, _session, is_started, x1, x2, _color, max, is_extend, _boxes_op)
if _show_fib
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.500, 2, line.style_solid, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.628, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.382, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
util.clear_lines(_lines_fib, i_history_period * 3)
f_render_limitmessage(_show, _session, is_started, is_ended, x1, bottom, _rightbars)
///////////////////
// Calculating
///////////////////
string tz = (i_tz == option_no or i_tz == '') ? na : i_tz
int sess1 = time(timeframe.period, i_sess1, tz)
int sess2 = time(timeframe.period, i_sess2, tz)
int sess3 = time(timeframe.period, i_sess3, tz)
int sess4 = time(timeframe.period, i_sess4, tz)
///////////////////
// Plotting
///////////////////
var sess1_box = array.new()
var sess2_box = array.new()
var sess3_box = array.new()
var sess4_box = array.new()
var sess1_line = array.new()
var sess2_line = array.new()
var sess3_line = array.new()
var sess4_line = array.new()
var sess1_op = array.new()
var sess2_op = array.new()
var sess3_op = array.new()
var sess4_op = array.new()
var sess1_fib = array.new()
var sess2_fib = array.new()
var sess3_fib = array.new()
var sess4_fib = array.new()
var sess1_candle_body = array.new()
var sess2_candle_body = array.new()
var sess3_candle_body = array.new()
var sess4_candle_body = array.new()
var sess1_candle_wick = array.new()
var sess2_candle_wick = array.new()
var sess3_candle_wick = array.new()
var sess4_candle_wick = array.new()
var sess1_labels = array.new()
var sess2_labels = array.new()
var sess3_labels = array.new()
var sess4_labels = array.new()
= draw(i_show_sess1, sess1, i_sess1_color, i_sess1_label, i_sess1_extend, i_sess1_fib, i_sess1_op, i_lookback, sess1_box, sess1_line, sess1_candle_body, sess1_candle_wick, sess1_op, sess1_fib, sess1_labels)
= draw(i_show_sess2, sess2, i_sess2_color, i_sess2_label, i_sess2_extend, i_sess2_fib, i_sess2_op, i_lookback, sess2_box, sess2_line, sess2_candle_body, sess2_candle_wick, sess2_op, sess2_fib, sess2_labels)
= draw(i_show_sess3, sess3, i_sess3_color, i_sess3_label, i_sess3_extend, i_sess3_fib, i_sess3_op, i_lookback, sess3_box, sess3_line, sess3_candle_body, sess3_candle_wick, sess3_op, sess3_fib, sess3_labels)
= draw(i_show_sess4, sess4, i_sess4_color, i_sess4_label, i_sess4_extend, i_sess4_fib, i_sess4_op, i_lookback, sess4_box, sess4_line, sess4_candle_body, sess4_candle_wick, sess4_op, sess4_fib, sess4_labels)
is_positive_bar = close > open
color c_barcolor = na
color c_plotcandle = na
c_sess1_barcolor = (is_sess1) ? (is_positive_bar ? i_sess1_barcolor1 : i_sess1_barcolor2) : na
c_sess2_barcolor = (is_sess2) ? (is_positive_bar ? i_sess2_barcolor1 : i_sess2_barcolor2) : na
c_sess3_barcolor = (is_sess3) ? (is_positive_bar ? i_sess3_barcolor1 : i_sess3_barcolor2) : na
c_sess4_barcolor = (is_sess4) ? (is_positive_bar ? i_sess4_barcolor1 : i_sess4_barcolor2) : na
if (i_sess1_chart != option_chart_x) and is_sess1
c_barcolor := i_sess1_barcolor ? c_sess1_barcolor : na
c_plotcandle := i_sess1_plotcandle ? c_sess1_barcolor : na
if (i_sess2_chart != option_chart_x) and is_sess2
c_barcolor := i_sess2_barcolor ? c_sess2_barcolor : na
c_plotcandle := i_sess2_plotcandle ? c_sess2_barcolor : na
if (i_sess3_chart != option_chart_x) and is_sess3
c_barcolor := i_sess3_barcolor ? c_sess3_barcolor : na
c_plotcandle := i_sess3_plotcandle ? c_sess3_barcolor : na
if (i_sess4_chart != option_chart_x) and is_sess4
c_barcolor := i_sess4_barcolor ? c_sess4_barcolor : na
c_plotcandle := i_sess4_plotcandle ? c_sess4_barcolor : na
barcolor(c_barcolor)
plotcandle(open, high, low, close, color=is_positive_bar ? color_none : c_plotcandle, bordercolor=c_plotcandle, wickcolor=c_plotcandle)
////////////////////
// Alerts
////////////////////
// Session alerts
sess1_started = is_sess1 and not is_sess1 , sess1_ended = not is_sess1 and is_sess1
sess2_started = is_sess2 and not is_sess2 , sess2_ended = not is_sess2 and is_sess2
sess3_started = is_sess3 and not is_sess3 , sess3_ended = not is_sess3 and is_sess3
sess4_started = is_sess4 and not is_sess4 , sess4_ended = not is_sess4 and is_sess4
alertcondition(sess1_started, 'Session #1 started')
alertcondition(sess1_ended, 'Session #1 ended')
alertcondition(sess2_started, 'Session #2 started')
alertcondition(sess2_ended, 'Session #2 ended')
alertcondition(sess3_started, 'Session #3 started')
alertcondition(sess3_ended, 'Session #3 ended')
alertcondition(sess4_started, 'Session #4 started')
alertcondition(sess4_ended, 'Session #4 ended')
alertcondition((not is_sess1) and ta.crossover(close, sess1_high), 'Session #1 High crossed (after session closed)')
alertcondition((not is_sess1) and ta.crossunder(close, sess1_low), 'Session #1 Low crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossover(close, sess2_high), 'Session #2 High crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossunder(close, sess2_low), 'Session #2 Low crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossover(close, sess3_high), 'Session #3 High crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossunder(close, sess3_low), 'Session #3 Low crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossover(close, sess4_high), 'Session #4 High crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossunder(close, sess4_low), 'Session #4 Low crossed (after session closed)')
// Alerts visualized
if i_alert1_show
if i_show_sess1
if sess1_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess1_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess2
if sess2_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess2_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess3
if sess3_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess3_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess4
if sess4_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess4_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
plot(i_alert3_show ? sess1_high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color)
plot(i_alert3_show ? sess1_low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2)
plot(i_alert3_show ? sess2_high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color)
plot(i_alert3_show ? sess2_low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2)
plot(i_alert3_show ? sess3_high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color)
plot(i_alert3_show ? sess3_low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2)
plot(i_alert3_show ? sess4_high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color)
plot(i_alert3_show ? sess4_low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2)
plotshape(i_alert3_show and (not is_sess1) and ta.crossover(close, sess1_high) ? sess1_high : na, 'cross sess1_high', color=i_sess1_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess1) and ta.crossunder(close, sess1_low) ? sess1_low : na, 'cross sess1_low', color=i_sess1_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossover(close, sess2_high) ? sess2_high : na, 'cross sess2_high', color=i_sess2_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossunder(close, sess2_low) ? sess2_low : na, 'cross sess2_low', color=i_sess2_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossover(close, sess3_high) ? sess3_high : na, 'cross sess3_high', color=i_sess3_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossunder(close, sess3_low) ? sess3_low : na, 'cross sess3_low', color=i_sess3_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossover(close, sess4_high) ? sess4_high : na, 'cross sess4_high', color=i_sess4_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossunder(close, sess4_low) ? sess4_low : na, 'cross sess4_low', color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
HSM MACROS//@version=5
indicator('HSM MACROS', 'HSM MACROS', overlay=true, max_bars_back=500, explicit_plot_zorder=true)
import boitoki/AwesomeColor/4 as ac
import boitoki/Utilities/3 as util
///////////////
// Groups
///////////////
g0 = 'GENERAL'
g1_01 = '♯1 SESSION'
g1_02 = '♯2 SESSION'
g1_03 = '♯3 SESSION'
g1_04 = '♯4 SESSION'
g4 = 'BOX'
g6 = 'LABELS'
g5 = 'OPENING RANGE'
g7 = 'FIBONACCI LEVELS'
g8 = 'OPTIONS'
g11 = 'CANDLE'
g10 = 'Alerts visualized'
///////////////
// Defined
///////////////
max_bars = 500
option_yes = 'Yes'
option_no = '× No'
option_extend1 = 'Yes'
option_hide = '× Hide'
option_border_style1 = '────'
option_border_style2 = '- - - - - -'
option_border_style3 = '•••••••••'
option_chart_x = '× No'
option_chart_1 = 'Bar color'
option_chart_2 = 'Candles'
fmt_price = '{0,number,#.#####}'
fmt_pips = '{0,number,#.#}'
icon_separator = ' • '
color_none = color.new(color.black, 100)
color_text = color.new(color.white, 0)
///////////////
// Functions
///////////////
f_get_time_by_bar(bar_count) => timeframe.multiplier * bar_count * 60 * 1000
f_border_style (_style) =>
switch _style
option_border_style1 => line.style_solid
option_border_style2 => line.style_dashed
option_border_style3 => line.style_dotted
=> _style
f_get_period (_session, _start, _lookback) =>
result = math.max(_start, 1)
for i = result to _lookback
if na(_session ) and _session
result := i+1
break
result
f_get_label_position (_y, _side) =>
switch _y
'top' => _side == 'outside' ? label.style_label_lower_left : label.style_label_upper_left
'bottom' => _side == 'outside' ? label.style_label_upper_left : label.style_label_lower_left
f_get_started (_session) => na(_session ) and _session
f_get_ended (_session) => na(_session) and _session
f_message_limit_bars (_v) => '⚠️ This box\'s right position exceeds 500 bars(' + str.tostring(_v) + '). This box is not displayed correctly.'
f_set_line_x1 (_line, _x) =>
if (line.get_x1(_line) != _x)
line.set_x1(_line, _x)
f_set_line_x2 (_line, _x) =>
if (line.get_x2(_line) != _x)
line.set_x2(_line, _x)
f_set_box_right (_box, _x) =>
if box.get_right(_box) != _x
box.set_right(_box, _x)
///////////////
// Inputs
///////////////
// Timezone
i_tz = input.string('GMT-4', title='Timezone', options= , tooltip='e.g. \'America/New_York\', \'Asia/Tokyo\', \'GMT-4\', \'GMT+9\'...', group=g0)
i_history_period = input.int(10, 'History', minval=0, group=g0)
i_show = i_history_period > 0
i_lookback = 12 * 60
// Sessions
i_show_sess1 = input.bool(true, 'Session 1 ', group=g1_01, inline='session1_1') and i_show
i_sess1_label = input.string('MC1', '', group=g1_01, inline='session1_1')
i_sess1_color = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1_barcolor1 = input.color(#0a0a0a, '•', group=g1_01, inline='session1_1')
i_sess1_barcolor2 = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1 = input.session('0820-0830', 'Time', group=g1_01)
i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01)
i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no
i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show
i_sess1_chart = input.string(option_chart_x, 'Bar', options= , group=g1_01)
i_sess1_barcolor = i_sess1_chart == option_chart_1
i_sess1_plotcandle = i_sess1_chart == option_chart_2
i_show_sess2 = input.bool(true, 'Session 2 ', group=g1_02, inline='session2_1') and i_show
i_sess2_label = input.string('MC2', '', group=g1_02, inline='session2_1')
i_sess2_color = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2_barcolor1 = input.color(#0a0a0a, '•', group=g1_02, inline='session2_1')
i_sess2_barcolor2 = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2 = input.session('0920-0930', 'Time', group=g1_02)
i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02)
i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no
i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show
i_sess2_chart = input.string(option_chart_x, 'Bar', options= , group=g1_02)
i_sess2_barcolor = i_sess2_chart == option_chart_1
i_sess2_plotcandle = i_sess2_chart == option_chart_2
i_show_sess3 = input.bool(true, 'Session 3 ', group=g1_03, inline='session3_1') and i_show
i_sess3_label = input.string('MC3', '', group=g1_03, inline='session3_1')
i_sess3_color = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3_barcolor1 = input.color(#0a0a0a, '•', group=g1_03, inline='session3_1')
i_sess3_barcolor2 = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3 = input.session('0950-1010', 'Time', group=g1_03)
i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03)
i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no
i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show
i_sess3_chart = input.string(option_chart_x, 'Bar', options= , group=g1_03)
i_sess3_barcolor = i_sess3_chart == option_chart_1
i_sess3_plotcandle = i_sess3_chart == option_chart_2
i_show_sess4 = input.bool(true, 'Session 4 ', group=g1_04, inline='session4_1') and i_show
i_sess4_label = input.string('MC4', '', group=g1_04, inline='session4_1')
i_sess4_color = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4_barcolor1 = input.color(#0a0a0a, '•', group=g1_04, inline='session4_1')
i_sess4_barcolor2 = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4 = input.session('1050-1110', 'Time', group=g1_04)
i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04)
i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no
i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show
i_sess4_chart = input.string(option_chart_x, 'Bar', options= , group=g1_04)
i_sess4_barcolor = i_sess4_chart == option_chart_1
i_sess4_plotcandle = i_sess4_chart == option_chart_2
// Show & Styles
i_sess_box_style = input.string('Box', 'Style', options= , group=g4)
i_sess_border_style = f_border_style(input.string(option_border_style2, 'Line style', options= , group=g4))
i_sess_border_width = input.int(1, 'Thickness', minval=0, group=g4)
i_sess_bgopacity = input.int(94, 'Transp', minval=0, maxval=100, step=1, group=g4, tooltip='Setting the 100 is no background color')
// Candle
option_candle_body = 'OC'
option_candle_wick = 'OHLC'
i_candle = input.string(option_hide, 'Display', options= , group=g11)
i_candle_border_width = input.int(2, 'Thickness', minval=0, group=g11)
i_show_candle = (i_candle != option_hide) and (i_candle_border_width > 0)
i_show_candle_wick = i_candle == option_candle_wick
option_candle_color1 = 'Session\'s'
option_candle_color2 = 'Red • Green'
i_candle_color = input.string(option_candle_color2, 'Color ', options= , group=g11, inline='candle_color')
i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_color')
i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_color')
// Labels
i_label_show = input.bool(true, 'Labels', inline='label_show', group=g6) and i_show
i_label_size = str.lower(input.string('Small', '', options= , inline='label_show', group=g6))
i_label_position_y = str.lower(input.string('Top', '', options= , inline='label_show', group=g6))
i_label_position_s = str.lower(input.string('Outside', '', options= , inline='label_show', group=g6))
i_label_position = f_get_label_position(i_label_position_y, i_label_position_s)
i_label_format_name = input.bool(true, 'Name', inline='label_format', group=g6)
i_label_format_day = input.bool(false, 'Day', inline='label_format', group=g6)
i_label_format_price = input.bool(false, 'Price', inline='label_format', group=g6)
i_label_format_pips = input.bool(false, 'Pips', inline='label_format', group=g6)
// Fibonacci levels
i_f_linestyle = f_border_style(input.string(option_border_style1, title="Style", options= , group=g7))
i_f_linewidth = input.int(1, title="Thickness", minval=1, group=g7)
// Opening range
i_o_minutes = input.int(15, title='Periods (minutes)', minval=1, step=1, group=g5)
i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1)
i_o_transp = input.int(88, title='Transp', minval=0, maxval=100, step=1, group=g5)
// Alerts
i_alert1_show = input.bool(false, 'Alerts - Sessions stard/end', group=g10)
i_alert2_show = input.bool(false, 'Alerts - Opening range breakouts', group=g10)
i_alert3_show = input.bool(false, 'Alerts - Price crossed session\'s High/Low after session closed', group=g10)
// ------------------------
// Drawing labels
// ------------------------
f_render_label (_show, _session, _is_started, _color, _top, _bottom, _text, _labels) =>
var label my_label = na
var int start_time = na
v_position_y = (i_label_position_y == 'top') ? _top : _bottom
v_label = array.new_string()
v_chg = _top - _bottom
if _is_started
start_time := time
if i_label_format_name and not na(_text)
array.push(v_label, _text)
if i_label_format_day
array.push(v_label, util.get_day(dayofweek(start_time, i_tz)))
if i_label_format_price
array.push(v_label, str.format(fmt_price, v_chg))
if i_label_format_pips
array.push(v_label, str.format(fmt_pips, util.toPips(v_chg)) + ' pips')
if _show
if _is_started
my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=color_none, size=i_label_size, style=i_label_position)
array.push(_labels, my_label)
util.clear_labels(_labels, i_history_period)
else if _session
label.set_y(my_label, v_position_y)
label.set_text(my_label, array.join(v_label, icon_separator))
// ------------------------
// Drawing Fibonacci levels
// ------------------------
f_render_fibonacci (_show, _session, _is_started, _x1, _x2, _color, _top, _bottom, _level, _width, _style, _is_extend, _lines) =>
var line my_line = na
if _show
y = (_top - _bottom) * _level + _bottom
if _is_started
my_line := line.new(_x1, y, _x2, y, width=_width, color=color.new(_color, 30), style=_style)
array.push(_lines, my_line)
if _is_extend
line.set_extend(my_line, extend.right)
else if _session
line.set_y1(my_line, y)
line.set_y2(my_line, y)
f_set_line_x2(my_line, _x2)
// ------------------------
// Drawing Opening range
// ------------------------
f_render_oprange (_show, _session, _is_started, _x1, _x2, _color, _max, _is_extend, _boxes) =>
var int start_time = na
var box my_box = na
top = ta.highest(high, _max)
bottom = ta.lowest(low, _max)
is_crossover = ta.crossover(close, box.get_top(my_box))
is_crossunder = ta.crossunder(close, box.get_bottom(my_box))
if _show
if _is_started
util.clear_boxes(_boxes, math.max(0, i_history_period - 1))
start_time := time
my_box := na
else if _session
time_op = start_time + (i_o_minutes * 60 * 1000)
time_op_delay = time_op - f_get_time_by_bar(1)
if time <= time_op and time > time_op_delay
my_box := box.new(_x1, top, _x2, bottom, border_width=0, bgcolor=color.new(_color, i_o_transp))
array.push(_boxes, my_box)
if _is_extend
box.set_extend(my_box, extend.right)
my_box
else
f_set_box_right(my_box, _x2)
if is_crossover
alert('Price crossed over the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_top(my_box), "×", color=color.blue, textcolor=ac.tradingview('blue'), style=label.style_none, size=size.large)
if is_crossunder
alert('Price crossed under the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_bottom(my_box), "×", color=color.red, textcolor=ac.tradingview('red'), style=label.style_none, size=size.large)
my_box
// ------------------------
// Drawing candle
// ------------------------
f_render_candle (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2, _boxes, _lines) =>
var box body = na
var line wick1 = na
var line wick2 = na
border_width = i_candle_border_width
cx = math.round(math.avg(_x2, _x1)) - math.round(border_width / 2)
body_color = i_candle_color == option_candle_color2 ? close > _open ? i_candle_color_g : i_candle_color_r : _color
if _show
if _is_started
body := box.new(_x1, _top, _x2, _bottom, body_color, border_width, line.style_solid, bgcolor=color.new(color.black, 100))
wick1 := i_show_candle_wick ? line.new(cx, _top, cx, _top, color=_color, width=border_width, style=line.style_solid) : na
wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=_color, width=border_width, style=line.style_solid) : na
array.push(_boxes, body)
array.push(_lines, wick1)
array.push(_lines, wick2)
util.clear_boxes(_boxes, i_history_period)
util.clear_lines(_lines, i_history_period * 2)
else if _session
top = math.max(_open, close)
bottom = math.min(_open, close)
box.set_top(body, top)
box.set_bottom(body, bottom)
box.set_right(body, _x2)
box.set_border_color(body, body_color)
line.set_y1(wick1, _top)
line.set_y2(wick1, top)
f_set_line_x1(wick1, cx)
f_set_line_x2(wick1, cx)
line.set_color(wick1, body_color)
line.set_y1(wick2, _bottom)
line.set_y2(wick2, bottom)
f_set_line_x1(wick2, cx)
f_set_line_x2(wick2, cx)
line.set_color(wick2, body_color)
else if _is_ended
box.set_right(body, bar_index)
// ------------------------
// Rendering limit message
// ------------------------
f_render_limitmessage (_show, _session, _is_started, _is_ended, _x, _y, _rightbars) =>
var label my_note = na
if _show
if _is_started
if _rightbars > max_bars
my_note := label.new(_x, _y, f_message_limit_bars(_rightbars), style=label.style_label_upper_left, color=color.yellow, textalign=text.align_left, yloc=yloc.price)
else if _session
if _rightbars > max_bars
label.set_y(my_note, _y)
label.set_text(my_note, f_message_limit_bars(_rightbars))
else
label.delete(my_note)
else if _is_ended
label.delete(my_note)
true
// Rendering session
//
f_render_sessionrange (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _lines) =>
var line above_line = na
var line below_line = na
if _show
if _is_started
above_line := line.new(_x1, _top, _x2, _top, width=i_sess_border_width, style=i_sess_border_style, color=_color)
below_line := line.new(_x1, _bottom, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color)
linefill.new(above_line, below_line, color.new(_color, i_sess_bgopacity))
array.push(_lines, above_line)
array.push(_lines, below_line)
util.clear_lines(_lines, i_history_period * 2)
if _is_extend
line.set_extend(above_line, extend.right)
line.set_extend(below_line, extend.right)
else if _session
line.set_y1(above_line, _top)
line.set_y2(above_line, _top)
line.set_x2(above_line, _x2)
line.set_y1(below_line, _bottom)
line.set_y2(below_line, _bottom)
line.set_x2(below_line, _x2)
true
else if _is_ended
true
true
// ------------------------
// Rendering session box
// ------------------------
f_render_session (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _boxes) =>
var box my_box = na
if _show
if _is_started
my_box := box.new(_x1, _top, _x2, _bottom, _color, i_sess_border_width, i_sess_border_style, bgcolor=color.new(_color, i_sess_bgopacity))
array.push(_boxes, my_box)
util.clear_boxes(_boxes, i_history_period)
if _is_extend
box.set_extend(my_box, extend.right)
else if _session
box.set_top(my_box, _top)
box.set_bottom(my_box, _bottom)
f_set_box_right(my_box, _x2)
else if _is_ended
box.set_right(my_box, bar_index)
my_box
// ------------------------
// Drawing market
// ------------------------
f_render_main (_show, _session, _is_started, _is_ended, _color, _top, _bottom) =>
var box my_box = na
var label my_note = na
var x1 = 0
var x2 = 0
var session_open = 0.0
var session_high = 0.0
var session_low = 0.0
x0_1 = ta.valuewhen(na(_session ) and _session, bar_index, 1)
x0_2 = ta.valuewhen(na(_session) and _session , bar_index, 0)
x0_d = math.abs(x0_2 - x0_1)
limit_bars = max_bars
rightbars = x0_d
if _show
if _is_started
x1 := bar_index
x2 := bar_index + (math.min(x0_d, limit_bars))
session_open := open
session_high := _top
session_low := _bottom
else if _session
true_x2 = x1 + x0_d
rightbars := true_x2 - bar_index
limit_bars := bar_index + max_bars
x2 := math.min(true_x2, limit_bars)
session_high := _top
session_low := _bottom
else if _is_ended
session_open := na
// ------------------------
// Drawing
// ------------------------
draw (_show, _session, _color, _label, _extend, _show_fib, _show_op, _lookback, _boxes_session, _lines_session, _boxes_candle_body, _lines_candle_wick, _boxes_op, _lines_fib, _labels) =>
max = f_get_period(_session, 1, _lookback)
top = ta.highest(high, max)
bottom = ta.lowest(low, max)
is_started = f_get_started(_session)
is_ended = f_get_ended(_session)
is_extend = _extend != option_no
= f_render_main(_show, _session, is_started, is_ended, _color, top, bottom)
if i_sess_box_style == 'Box'
f_render_session(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _boxes_session)
if i_sess_box_style == 'Sandwich'
f_render_sessionrange(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _lines_session)
if i_show_candle
f_render_candle(_show, _session, is_started, is_ended, _color, top, bottom, _open, x1, x2, _boxes_candle_body, _lines_candle_wick)
if i_label_show
f_render_label(_show, _session, is_started, _color, top, bottom, _label, _labels)
if _show_op
f_render_oprange(_show, _session, is_started, x1, x2, _color, max, is_extend, _boxes_op)
if _show_fib
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.500, 2, line.style_solid, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.628, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.382, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
util.clear_lines(_lines_fib, i_history_period * 3)
f_render_limitmessage(_show, _session, is_started, is_ended, x1, bottom, _rightbars)
///////////////////
// Calculating
///////////////////
string tz = (i_tz == option_no or i_tz == '') ? na : i_tz
int sess1 = time(timeframe.period, i_sess1, tz)
int sess2 = time(timeframe.period, i_sess2, tz)
int sess3 = time(timeframe.period, i_sess3, tz)
int sess4 = time(timeframe.period, i_sess4, tz)
///////////////////
// Plotting
///////////////////
var sess1_box = array.new()
var sess2_box = array.new()
var sess3_box = array.new()
var sess4_box = array.new()
var sess1_line = array.new()
var sess2_line = array.new()
var sess3_line = array.new()
var sess4_line = array.new()
var sess1_op = array.new()
var sess2_op = array.new()
var sess3_op = array.new()
var sess4_op = array.new()
var sess1_fib = array.new()
var sess2_fib = array.new()
var sess3_fib = array.new()
var sess4_fib = array.new()
var sess1_candle_body = array.new()
var sess2_candle_body = array.new()
var sess3_candle_body = array.new()
var sess4_candle_body = array.new()
var sess1_candle_wick = array.new()
var sess2_candle_wick = array.new()
var sess3_candle_wick = array.new()
var sess4_candle_wick = array.new()
var sess1_labels = array.new()
var sess2_labels = array.new()
var sess3_labels = array.new()
var sess4_labels = array.new()
= draw(i_show_sess1, sess1, i_sess1_color, i_sess1_label, i_sess1_extend, i_sess1_fib, i_sess1_op, i_lookback, sess1_box, sess1_line, sess1_candle_body, sess1_candle_wick, sess1_op, sess1_fib, sess1_labels)
= draw(i_show_sess2, sess2, i_sess2_color, i_sess2_label, i_sess2_extend, i_sess2_fib, i_sess2_op, i_lookback, sess2_box, sess2_line, sess2_candle_body, sess2_candle_wick, sess2_op, sess2_fib, sess2_labels)
= draw(i_show_sess3, sess3, i_sess3_color, i_sess3_label, i_sess3_extend, i_sess3_fib, i_sess3_op, i_lookback, sess3_box, sess3_line, sess3_candle_body, sess3_candle_wick, sess3_op, sess3_fib, sess3_labels)
= draw(i_show_sess4, sess4, i_sess4_color, i_sess4_label, i_sess4_extend, i_sess4_fib, i_sess4_op, i_lookback, sess4_box, sess4_line, sess4_candle_body, sess4_candle_wick, sess4_op, sess4_fib, sess4_labels)
is_positive_bar = close > open
color c_barcolor = na
color c_plotcandle = na
c_sess1_barcolor = (is_sess1) ? (is_positive_bar ? i_sess1_barcolor1 : i_sess1_barcolor2) : na
c_sess2_barcolor = (is_sess2) ? (is_positive_bar ? i_sess2_barcolor1 : i_sess2_barcolor2) : na
c_sess3_barcolor = (is_sess3) ? (is_positive_bar ? i_sess3_barcolor1 : i_sess3_barcolor2) : na
c_sess4_barcolor = (is_sess4) ? (is_positive_bar ? i_sess4_barcolor1 : i_sess4_barcolor2) : na
if (i_sess1_chart != option_chart_x) and is_sess1
c_barcolor := i_sess1_barcolor ? c_sess1_barcolor : na
c_plotcandle := i_sess1_plotcandle ? c_sess1_barcolor : na
if (i_sess2_chart != option_chart_x) and is_sess2
c_barcolor := i_sess2_barcolor ? c_sess2_barcolor : na
c_plotcandle := i_sess2_plotcandle ? c_sess2_barcolor : na
if (i_sess3_chart != option_chart_x) and is_sess3
c_barcolor := i_sess3_barcolor ? c_sess3_barcolor : na
c_plotcandle := i_sess3_plotcandle ? c_sess3_barcolor : na
if (i_sess4_chart != option_chart_x) and is_sess4
c_barcolor := i_sess4_barcolor ? c_sess4_barcolor : na
c_plotcandle := i_sess4_plotcandle ? c_sess4_barcolor : na
barcolor(c_barcolor)
plotcandle(open, high, low, close, color=is_positive_bar ? color_none : c_plotcandle, bordercolor=c_plotcandle, wickcolor=c_plotcandle)
////////////////////
// Alerts
////////////////////
// Session alerts
sess1_started = is_sess1 and not is_sess1 , sess1_ended = not is_sess1 and is_sess1
sess2_started = is_sess2 and not is_sess2 , sess2_ended = not is_sess2 and is_sess2
sess3_started = is_sess3 and not is_sess3 , sess3_ended = not is_sess3 and is_sess3
sess4_started = is_sess4 and not is_sess4 , sess4_ended = not is_sess4 and is_sess4
alertcondition(sess1_started, 'Session #1 started')
alertcondition(sess1_ended, 'Session #1 ended')
alertcondition(sess2_started, 'Session #2 started')
alertcondition(sess2_ended, 'Session #2 ended')
alertcondition(sess3_started, 'Session #3 started')
alertcondition(sess3_ended, 'Session #3 ended')
alertcondition(sess4_started, 'Session #4 started')
alertcondition(sess4_ended, 'Session #4 ended')
alertcondition((not is_sess1) and ta.crossover(close, sess1_high), 'Session #1 High crossed (after session closed)')
alertcondition((not is_sess1) and ta.crossunder(close, sess1_low), 'Session #1 Low crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossover(close, sess2_high), 'Session #2 High crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossunder(close, sess2_low), 'Session #2 Low crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossover(close, sess3_high), 'Session #3 High crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossunder(close, sess3_low), 'Session #3 Low crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossover(close, sess4_high), 'Session #4 High crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossunder(close, sess4_low), 'Session #4 Low crossed (after session closed)')
// Alerts visualized
if i_alert1_show
if i_show_sess1
if sess1_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess1_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess2
if sess2_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess2_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess3
if sess3_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess3_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess4
if sess4_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess4_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
plot(i_alert3_show ? sess1_high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color)
plot(i_alert3_show ? sess1_low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2)
plot(i_alert3_show ? sess2_high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color)
plot(i_alert3_show ? sess2_low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2)
plot(i_alert3_show ? sess3_high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color)
plot(i_alert3_show ? sess3_low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2)
plot(i_alert3_show ? sess4_high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color)
plot(i_alert3_show ? sess4_low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2)
plotshape(i_alert3_show and (not is_sess1) and ta.crossover(close, sess1_high) ? sess1_high : na, 'cross sess1_high', color=i_sess1_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess1) and ta.crossunder(close, sess1_low) ? sess1_low : na, 'cross sess1_low', color=i_sess1_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossover(close, sess2_high) ? sess2_high : na, 'cross sess2_high', color=i_sess2_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossunder(close, sess2_low) ? sess2_low : na, 'cross sess2_low', color=i_sess2_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossover(close, sess3_high) ? sess3_high : na, 'cross sess3_high', color=i_sess3_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossunder(close, sess3_low) ? sess3_low : na, 'cross sess3_low', color=i_sess3_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossover(close, sess4_high) ? sess4_high : na, 'cross sess4_high', color=i_sess4_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossunder(close, sess4_low) ? sess4_low : na, 'cross sess4_low', color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
HSM BULLET//@version=5
indicator('HSM BULLET', 'HSM BULLET', overlay=true, max_bars_back=500, explicit_plot_zorder=true)
import boitoki/AwesomeColor/4 as ac
import boitoki/Utilities/3 as util
///////////////
// Groups
///////////////
g0 = 'GENERAL'
g1_01 = '♯1 SESSION'
g1_02 = '♯2 SESSION'
g1_03 = '♯3 SESSION'
g1_04 = '♯4 SESSION'
g4 = 'BOX'
g6 = 'LABELS'
g5 = 'OPENING RANGE'
g7 = 'FIBONACCI LEVELS'
g8 = 'OPTIONS'
g11 = 'CANDLE'
g10 = 'Alerts visualized'
///////////////
// Defined
///////////////
max_bars = 500
option_yes = 'Yes'
option_no = '× No'
option_extend1 = 'Yes'
option_hide = '× Hide'
option_border_style1 = '────'
option_border_style2 = '- - - - - -'
option_border_style3 = '•••••••••'
option_chart_x = '× No'
option_chart_1 = 'Bar color'
option_chart_2 = 'Candles'
fmt_price = '{0,number,#.#####}'
fmt_pips = '{0,number,#.#}'
icon_separator = ' • '
color_none = color.new(color.black, 100)
color_text = color.new(color.white, 0)
///////////////
// Functions
///////////////
f_get_time_by_bar(bar_count) => timeframe.multiplier * bar_count * 60 * 1000
f_border_style (_style) =>
switch _style
option_border_style1 => line.style_solid
option_border_style2 => line.style_dashed
option_border_style3 => line.style_dotted
=> _style
f_get_period (_session, _start, _lookback) =>
result = math.max(_start, 1)
for i = result to _lookback
if na(_session ) and _session
result := i+1
break
result
f_get_label_position (_y, _side) =>
switch _y
'top' => _side == 'outside' ? label.style_label_lower_left : label.style_label_upper_left
'bottom' => _side == 'outside' ? label.style_label_upper_left : label.style_label_lower_left
f_get_started (_session) => na(_session ) and _session
f_get_ended (_session) => na(_session) and _session
f_message_limit_bars (_v) => '⚠️ This box\'s right position exceeds 500 bars(' + str.tostring(_v) + '). This box is not displayed correctly.'
f_set_line_x1 (_line, _x) =>
if (line.get_x1(_line) != _x)
line.set_x1(_line, _x)
f_set_line_x2 (_line, _x) =>
if (line.get_x2(_line) != _x)
line.set_x2(_line, _x)
f_set_box_right (_box, _x) =>
if box.get_right(_box) != _x
box.set_right(_box, _x)
///////////////
// Inputs
///////////////
// Timezone
i_tz = input.string('GMT-4', title='Timezone', options= , tooltip='e.g. \'America/New_York\', \'Asia/Tokyo\', \'GMT-4\', \'GMT+9\'...', group=g0)
i_history_period = input.int(10, 'History', minval=0, group=g0)
i_show = i_history_period > 0
i_lookback = 12 * 60
// Sessions
i_show_sess1 = input.bool(true, 'Session 1 ', group=g1_01, inline='session1_1') and i_show
i_sess1_label = input.string('London Silver', '', group=g1_01, inline='session1_1')
i_sess1_color = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1_barcolor1 = input.color(#0a0a0a, '•', group=g1_01, inline='session1_1')
i_sess1_barcolor2 = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1 = input.session('0300-0400', 'Time', group=g1_01)
i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01)
i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no
i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show
i_sess1_chart = input.string(option_chart_x, 'Bar', options= , group=g1_01)
i_sess1_barcolor = i_sess1_chart == option_chart_1
i_sess1_plotcandle = i_sess1_chart == option_chart_2
i_show_sess2 = input.bool(true, 'Session 2 ', group=g1_02, inline='session2_1') and i_show
i_sess2_label = input.string('NY AM Bullet', '', group=g1_02, inline='session2_1')
i_sess2_color = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2_barcolor1 = input.color(#0a0a0a, '•', group=g1_02, inline='session2_1')
i_sess2_barcolor2 = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2 = input.session('1000-1100', 'Time', group=g1_02)
i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02)
i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no
i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show
i_sess2_chart = input.string(option_chart_x, 'Bar', options= , group=g1_02)
i_sess2_barcolor = i_sess2_chart == option_chart_1
i_sess2_plotcandle = i_sess2_chart == option_chart_2
i_show_sess3 = input.bool(true, 'Session 3 ', group=g1_03, inline='session3_1') and i_show
i_sess3_label = input.string('NY PM Bullet', '', group=g1_03, inline='session3_1')
i_sess3_color = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3_barcolor1 = input.color(#0a0a0a, '•', group=g1_03, inline='session3_1')
i_sess3_barcolor2 = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3 = input.session('1400-1500', 'Time', group=g1_03)
i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03)
i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no
i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show
i_sess3_chart = input.string(option_chart_x, 'Bar', options= , group=g1_03)
i_sess3_barcolor = i_sess3_chart == option_chart_1
i_sess3_plotcandle = i_sess3_chart == option_chart_2
i_show_sess4 = input.bool(true, 'Session 4 ', group=g1_04, inline='session4_1') and i_show
i_sess4_label = input.string(' ', '', group=g1_04, inline='session4_1')
i_sess4_color = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4_barcolor1 = input.color(#0a0a0a, '•', group=g1_04, inline='session4_1')
i_sess4_barcolor2 = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4 = input.session('1000-1000', 'Time', group=g1_04)
i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04)
i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no
i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show
i_sess4_chart = input.string(option_chart_x, 'Bar', options= , group=g1_04)
i_sess4_barcolor = i_sess4_chart == option_chart_1
i_sess4_plotcandle = i_sess4_chart == option_chart_2
// Show & Styles
i_sess_box_style = input.string('Box', 'Style', options= , group=g4)
i_sess_border_style = f_border_style(input.string(option_border_style2, 'Line style', options= , group=g4))
i_sess_border_width = input.int(1, 'Thickness', minval=0, group=g4)
i_sess_bgopacity = input.int(94, 'Transp', minval=0, maxval=100, step=1, group=g4, tooltip='Setting the 100 is no background color')
// Candle
option_candle_body = 'OC'
option_candle_wick = 'OHLC'
i_candle = input.string(option_hide, 'Display', options= , group=g11)
i_candle_border_width = input.int(2, 'Thickness', minval=0, group=g11)
i_show_candle = (i_candle != option_hide) and (i_candle_border_width > 0)
i_show_candle_wick = i_candle == option_candle_wick
option_candle_color1 = 'Session\'s'
option_candle_color2 = 'Red • Green'
i_candle_color = input.string(option_candle_color2, 'Color ', options= , group=g11, inline='candle_color')
i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_color')
i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_color')
// Labels
i_label_show = input.bool(true, 'Labels', inline='label_show', group=g6) and i_show
i_label_size = str.lower(input.string('Small', '', options= , inline='label_show', group=g6))
i_label_position_y = str.lower(input.string('Top', '', options= , inline='label_show', group=g6))
i_label_position_s = str.lower(input.string('Outside', '', options= , inline='label_show', group=g6))
i_label_position = f_get_label_position(i_label_position_y, i_label_position_s)
i_label_format_name = input.bool(true, 'Name', inline='label_format', group=g6)
i_label_format_day = input.bool(false, 'Day', inline='label_format', group=g6)
i_label_format_price = input.bool(false, 'Price', inline='label_format', group=g6)
i_label_format_pips = input.bool(false, 'Pips', inline='label_format', group=g6)
// Fibonacci levels
i_f_linestyle = f_border_style(input.string(option_border_style1, title="Style", options= , group=g7))
i_f_linewidth = input.int(1, title="Thickness", minval=1, group=g7)
// Opening range
i_o_minutes = input.int(15, title='Periods (minutes)', minval=1, step=1, group=g5)
i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1)
i_o_transp = input.int(88, title='Transp', minval=0, maxval=100, step=1, group=g5)
// Alerts
i_alert1_show = input.bool(false, 'Alerts - Sessions stard/end', group=g10)
i_alert2_show = input.bool(false, 'Alerts - Opening range breakouts', group=g10)
i_alert3_show = input.bool(false, 'Alerts - Price crossed session\'s High/Low after session closed', group=g10)
// ------------------------
// Drawing labels
// ------------------------
f_render_label (_show, _session, _is_started, _color, _top, _bottom, _text, _labels) =>
var label my_label = na
var int start_time = na
v_position_y = (i_label_position_y == 'top') ? _top : _bottom
v_label = array.new_string()
v_chg = _top - _bottom
if _is_started
start_time := time
if i_label_format_name and not na(_text)
array.push(v_label, _text)
if i_label_format_day
array.push(v_label, util.get_day(dayofweek(start_time, i_tz)))
if i_label_format_price
array.push(v_label, str.format(fmt_price, v_chg))
if i_label_format_pips
array.push(v_label, str.format(fmt_pips, util.toPips(v_chg)) + ' pips')
if _show
if _is_started
my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=color_none, size=i_label_size, style=i_label_position)
array.push(_labels, my_label)
util.clear_labels(_labels, i_history_period)
else if _session
label.set_y(my_label, v_position_y)
label.set_text(my_label, array.join(v_label, icon_separator))
// ------------------------
// Drawing Fibonacci levels
// ------------------------
f_render_fibonacci (_show, _session, _is_started, _x1, _x2, _color, _top, _bottom, _level, _width, _style, _is_extend, _lines) =>
var line my_line = na
if _show
y = (_top - _bottom) * _level + _bottom
if _is_started
my_line := line.new(_x1, y, _x2, y, width=_width, color=color.new(_color, 30), style=_style)
array.push(_lines, my_line)
if _is_extend
line.set_extend(my_line, extend.right)
else if _session
line.set_y1(my_line, y)
line.set_y2(my_line, y)
f_set_line_x2(my_line, _x2)
// ------------------------
// Drawing Opening range
// ------------------------
f_render_oprange (_show, _session, _is_started, _x1, _x2, _color, _max, _is_extend, _boxes) =>
var int start_time = na
var box my_box = na
top = ta.highest(high, _max)
bottom = ta.lowest(low, _max)
is_crossover = ta.crossover(close, box.get_top(my_box))
is_crossunder = ta.crossunder(close, box.get_bottom(my_box))
if _show
if _is_started
util.clear_boxes(_boxes, math.max(0, i_history_period - 1))
start_time := time
my_box := na
else if _session
time_op = start_time + (i_o_minutes * 60 * 1000)
time_op_delay = time_op - f_get_time_by_bar(1)
if time <= time_op and time > time_op_delay
my_box := box.new(_x1, top, _x2, bottom, border_width=0, bgcolor=color.new(_color, i_o_transp))
array.push(_boxes, my_box)
if _is_extend
box.set_extend(my_box, extend.right)
my_box
else
f_set_box_right(my_box, _x2)
if is_crossover
alert('Price crossed over the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_top(my_box), "×", color=color.blue, textcolor=ac.tradingview('blue'), style=label.style_none, size=size.large)
if is_crossunder
alert('Price crossed under the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_bottom(my_box), "×", color=color.red, textcolor=ac.tradingview('red'), style=label.style_none, size=size.large)
my_box
// ------------------------
// Drawing candle
// ------------------------
f_render_candle (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2, _boxes, _lines) =>
var box body = na
var line wick1 = na
var line wick2 = na
border_width = i_candle_border_width
cx = math.round(math.avg(_x2, _x1)) - math.round(border_width / 2)
body_color = i_candle_color == option_candle_color2 ? close > _open ? i_candle_color_g : i_candle_color_r : _color
if _show
if _is_started
body := box.new(_x1, _top, _x2, _bottom, body_color, border_width, line.style_solid, bgcolor=color.new(color.black, 100))
wick1 := i_show_candle_wick ? line.new(cx, _top, cx, _top, color=_color, width=border_width, style=line.style_solid) : na
wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=_color, width=border_width, style=line.style_solid) : na
array.push(_boxes, body)
array.push(_lines, wick1)
array.push(_lines, wick2)
util.clear_boxes(_boxes, i_history_period)
util.clear_lines(_lines, i_history_period * 2)
else if _session
top = math.max(_open, close)
bottom = math.min(_open, close)
box.set_top(body, top)
box.set_bottom(body, bottom)
box.set_right(body, _x2)
box.set_border_color(body, body_color)
line.set_y1(wick1, _top)
line.set_y2(wick1, top)
f_set_line_x1(wick1, cx)
f_set_line_x2(wick1, cx)
line.set_color(wick1, body_color)
line.set_y1(wick2, _bottom)
line.set_y2(wick2, bottom)
f_set_line_x1(wick2, cx)
f_set_line_x2(wick2, cx)
line.set_color(wick2, body_color)
else if _is_ended
box.set_right(body, bar_index)
// ------------------------
// Rendering limit message
// ------------------------
f_render_limitmessage (_show, _session, _is_started, _is_ended, _x, _y, _rightbars) =>
var label my_note = na
if _show
if _is_started
if _rightbars > max_bars
my_note := label.new(_x, _y, f_message_limit_bars(_rightbars), style=label.style_label_upper_left, color=color.yellow, textalign=text.align_left, yloc=yloc.price)
else if _session
if _rightbars > max_bars
label.set_y(my_note, _y)
label.set_text(my_note, f_message_limit_bars(_rightbars))
else
label.delete(my_note)
else if _is_ended
label.delete(my_note)
true
// Rendering session
//
f_render_sessionrange (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _lines) =>
var line above_line = na
var line below_line = na
if _show
if _is_started
above_line := line.new(_x1, _top, _x2, _top, width=i_sess_border_width, style=i_sess_border_style, color=_color)
below_line := line.new(_x1, _bottom, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color)
linefill.new(above_line, below_line, color.new(_color, i_sess_bgopacity))
array.push(_lines, above_line)
array.push(_lines, below_line)
util.clear_lines(_lines, i_history_period * 2)
if _is_extend
line.set_extend(above_line, extend.right)
line.set_extend(below_line, extend.right)
else if _session
line.set_y1(above_line, _top)
line.set_y2(above_line, _top)
line.set_x2(above_line, _x2)
line.set_y1(below_line, _bottom)
line.set_y2(below_line, _bottom)
line.set_x2(below_line, _x2)
true
else if _is_ended
true
true
// ------------------------
// Rendering session box
// ------------------------
f_render_session (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _boxes) =>
var box my_box = na
if _show
if _is_started
my_box := box.new(_x1, _top, _x2, _bottom, _color, i_sess_border_width, i_sess_border_style, bgcolor=color.new(_color, i_sess_bgopacity))
array.push(_boxes, my_box)
util.clear_boxes(_boxes, i_history_period)
if _is_extend
box.set_extend(my_box, extend.right)
else if _session
box.set_top(my_box, _top)
box.set_bottom(my_box, _bottom)
f_set_box_right(my_box, _x2)
else if _is_ended
box.set_right(my_box, bar_index)
my_box
// ------------------------
// Drawing market
// ------------------------
f_render_main (_show, _session, _is_started, _is_ended, _color, _top, _bottom) =>
var box my_box = na
var label my_note = na
var x1 = 0
var x2 = 0
var session_open = 0.0
var session_high = 0.0
var session_low = 0.0
x0_1 = ta.valuewhen(na(_session ) and _session, bar_index, 1)
x0_2 = ta.valuewhen(na(_session) and _session , bar_index, 0)
x0_d = math.abs(x0_2 - x0_1)
limit_bars = max_bars
rightbars = x0_d
if _show
if _is_started
x1 := bar_index
x2 := bar_index + (math.min(x0_d, limit_bars))
session_open := open
session_high := _top
session_low := _bottom
else if _session
true_x2 = x1 + x0_d
rightbars := true_x2 - bar_index
limit_bars := bar_index + max_bars
x2 := math.min(true_x2, limit_bars)
session_high := _top
session_low := _bottom
else if _is_ended
session_open := na
// ------------------------
// Drawing
// ------------------------
draw (_show, _session, _color, _label, _extend, _show_fib, _show_op, _lookback, _boxes_session, _lines_session, _boxes_candle_body, _lines_candle_wick, _boxes_op, _lines_fib, _labels) =>
max = f_get_period(_session, 1, _lookback)
top = ta.highest(high, max)
bottom = ta.lowest(low, max)
is_started = f_get_started(_session)
is_ended = f_get_ended(_session)
is_extend = _extend != option_no
= f_render_main(_show, _session, is_started, is_ended, _color, top, bottom)
if i_sess_box_style == 'Box'
f_render_session(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _boxes_session)
if i_sess_box_style == 'Sandwich'
f_render_sessionrange(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _lines_session)
if i_show_candle
f_render_candle(_show, _session, is_started, is_ended, _color, top, bottom, _open, x1, x2, _boxes_candle_body, _lines_candle_wick)
if i_label_show
f_render_label(_show, _session, is_started, _color, top, bottom, _label, _labels)
if _show_op
f_render_oprange(_show, _session, is_started, x1, x2, _color, max, is_extend, _boxes_op)
if _show_fib
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.500, 2, line.style_solid, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.628, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.382, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
util.clear_lines(_lines_fib, i_history_period * 3)
f_render_limitmessage(_show, _session, is_started, is_ended, x1, bottom, _rightbars)
///////////////////
// Calculating
///////////////////
string tz = (i_tz == option_no or i_tz == '') ? na : i_tz
int sess1 = time(timeframe.period, i_sess1, tz)
int sess2 = time(timeframe.period, i_sess2, tz)
int sess3 = time(timeframe.period, i_sess3, tz)
int sess4 = time(timeframe.period, i_sess4, tz)
///////////////////
// Plotting
///////////////////
var sess1_box = array.new()
var sess2_box = array.new()
var sess3_box = array.new()
var sess4_box = array.new()
var sess1_line = array.new()
var sess2_line = array.new()
var sess3_line = array.new()
var sess4_line = array.new()
var sess1_op = array.new()
var sess2_op = array.new()
var sess3_op = array.new()
var sess4_op = array.new()
var sess1_fib = array.new()
var sess2_fib = array.new()
var sess3_fib = array.new()
var sess4_fib = array.new()
var sess1_candle_body = array.new()
var sess2_candle_body = array.new()
var sess3_candle_body = array.new()
var sess4_candle_body = array.new()
var sess1_candle_wick = array.new()
var sess2_candle_wick = array.new()
var sess3_candle_wick = array.new()
var sess4_candle_wick = array.new()
var sess1_labels = array.new()
var sess2_labels = array.new()
var sess3_labels = array.new()
var sess4_labels = array.new()
= draw(i_show_sess1, sess1, i_sess1_color, i_sess1_label, i_sess1_extend, i_sess1_fib, i_sess1_op, i_lookback, sess1_box, sess1_line, sess1_candle_body, sess1_candle_wick, sess1_op, sess1_fib, sess1_labels)
= draw(i_show_sess2, sess2, i_sess2_color, i_sess2_label, i_sess2_extend, i_sess2_fib, i_sess2_op, i_lookback, sess2_box, sess2_line, sess2_candle_body, sess2_candle_wick, sess2_op, sess2_fib, sess2_labels)
= draw(i_show_sess3, sess3, i_sess3_color, i_sess3_label, i_sess3_extend, i_sess3_fib, i_sess3_op, i_lookback, sess3_box, sess3_line, sess3_candle_body, sess3_candle_wick, sess3_op, sess3_fib, sess3_labels)
= draw(i_show_sess4, sess4, i_sess4_color, i_sess4_label, i_sess4_extend, i_sess4_fib, i_sess4_op, i_lookback, sess4_box, sess4_line, sess4_candle_body, sess4_candle_wick, sess4_op, sess4_fib, sess4_labels)
is_positive_bar = close > open
color c_barcolor = na
color c_plotcandle = na
c_sess1_barcolor = (is_sess1) ? (is_positive_bar ? i_sess1_barcolor1 : i_sess1_barcolor2) : na
c_sess2_barcolor = (is_sess2) ? (is_positive_bar ? i_sess2_barcolor1 : i_sess2_barcolor2) : na
c_sess3_barcolor = (is_sess3) ? (is_positive_bar ? i_sess3_barcolor1 : i_sess3_barcolor2) : na
c_sess4_barcolor = (is_sess4) ? (is_positive_bar ? i_sess4_barcolor1 : i_sess4_barcolor2) : na
if (i_sess1_chart != option_chart_x) and is_sess1
c_barcolor := i_sess1_barcolor ? c_sess1_barcolor : na
c_plotcandle := i_sess1_plotcandle ? c_sess1_barcolor : na
if (i_sess2_chart != option_chart_x) and is_sess2
c_barcolor := i_sess2_barcolor ? c_sess2_barcolor : na
c_plotcandle := i_sess2_plotcandle ? c_sess2_barcolor : na
if (i_sess3_chart != option_chart_x) and is_sess3
c_barcolor := i_sess3_barcolor ? c_sess3_barcolor : na
c_plotcandle := i_sess3_plotcandle ? c_sess3_barcolor : na
if (i_sess4_chart != option_chart_x) and is_sess4
c_barcolor := i_sess4_barcolor ? c_sess4_barcolor : na
c_plotcandle := i_sess4_plotcandle ? c_sess4_barcolor : na
barcolor(c_barcolor)
plotcandle(open, high, low, close, color=is_positive_bar ? color_none : c_plotcandle, bordercolor=c_plotcandle, wickcolor=c_plotcandle)
////////////////////
// Alerts
////////////////////
// Session alerts
sess1_started = is_sess1 and not is_sess1 , sess1_ended = not is_sess1 and is_sess1
sess2_started = is_sess2 and not is_sess2 , sess2_ended = not is_sess2 and is_sess2
sess3_started = is_sess3 and not is_sess3 , sess3_ended = not is_sess3 and is_sess3
sess4_started = is_sess4 and not is_sess4 , sess4_ended = not is_sess4 and is_sess4
alertcondition(sess1_started, 'Session #1 started')
alertcondition(sess1_ended, 'Session #1 ended')
alertcondition(sess2_started, 'Session #2 started')
alertcondition(sess2_ended, 'Session #2 ended')
alertcondition(sess3_started, 'Session #3 started')
alertcondition(sess3_ended, 'Session #3 ended')
alertcondition(sess4_started, 'Session #4 started')
alertcondition(sess4_ended, 'Session #4 ended')
alertcondition((not is_sess1) and ta.crossover(close, sess1_high), 'Session #1 High crossed (after session closed)')
alertcondition((not is_sess1) and ta.crossunder(close, sess1_low), 'Session #1 Low crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossover(close, sess2_high), 'Session #2 High crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossunder(close, sess2_low), 'Session #2 Low crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossover(close, sess3_high), 'Session #3 High crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossunder(close, sess3_low), 'Session #3 Low crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossover(close, sess4_high), 'Session #4 High crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossunder(close, sess4_low), 'Session #4 Low crossed (after session closed)')
// Alerts visualized
if i_alert1_show
if i_show_sess1
if sess1_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess1_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess2
if sess2_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess2_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess3
if sess3_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess3_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess4
if sess4_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess4_ended
label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
plot(i_alert3_show ? sess1_high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color)
plot(i_alert3_show ? sess1_low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2)
plot(i_alert3_show ? sess2_high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color)
plot(i_alert3_show ? sess2_low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2)
plot(i_alert3_show ? sess3_high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color)
plot(i_alert3_show ? sess3_low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2)
plot(i_alert3_show ? sess4_high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color)
plot(i_alert3_show ? sess4_low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2)
plotshape(i_alert3_show and (not is_sess1) and ta.crossover(close, sess1_high) ? sess1_high : na, 'cross sess1_high', color=i_sess1_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess1) and ta.crossunder(close, sess1_low) ? sess1_low : na, 'cross sess1_low', color=i_sess1_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossover(close, sess2_high) ? sess2_high : na, 'cross sess2_high', color=i_sess2_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossunder(close, sess2_low) ? sess2_low : na, 'cross sess2_low', color=i_sess2_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossover(close, sess3_high) ? sess3_high : na, 'cross sess3_high', color=i_sess3_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossunder(close, sess3_low) ? sess3_low : na, 'cross sess3_low', color=i_sess3_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossover(close, sess4_high) ? sess4_high : na, 'cross sess4_high', color=i_sess4_color, style=shape.triangleup, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossunder(close, sess4_low) ? sess4_low : na, 'cross sess4_low', color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
RTH Levels: VWAP + PDH/PDL + ONH/ONL + IBAlgo Index — Levels Pro (ONH/ONL • PDH/PDL • VWAP±Bands • IB • Gaps)
Purpose. A session-aware, non-repainting levels tool for intraday decision-making. Designed for futures and indices, with clean visuals, alerts, and a one-click Minimal Mode for screenshot-ready charts.
What it plots
• PDH/PDL (RTH-only) – Prior Regular Trading Hours high/low, computed intraday and frozen at the RTH close (no 24h mix-ups, no repainting).
• ONH/ONL – Prior Overnight high/low, held throughout RTH.
• RTH VWAP with ±σ bands – Volume-weighted variance, reset each RTH.
• Initial Balance (IB) – First N minutes of RTH, plus 1.5× / 2.0× extensions after IB completes.
• Today’s RTH Open & Prior RTH Close – With gap detection and “gap filled” alert.
• Killzone shading – NY Open (09:30–10:30 ET) and Lunch (11:15–13:30 ET).
• Values panel (top-right) – Each level with live distance in points & ticks.
• Right-edge level tags – With anti-overlap (stagger + vertical jitter).
• Price-scale tags – Native trackprice markers that always “stick” to the axis.
⸻
New in v6.4
• Minimal Mode: one click for a clean look (thinner lines, VWAP bands/IB extensions hidden, on-chart right-edge labels off; price-scale tags remain).
• Theme presets: Dark Hi-Contrast / Light Minimal / Futures Classic / Muted Dark.
• Anti-overlap controls: horizontal staggering, vertical jitter, and baseline offset to keep tags readable even when levels cluster.
⸻
Quick start (2 minutes)
1. Add to chart → keep defaults.
2. Sessions (ET):
• RTH Session default: 09:30–16:00 (US equities cash hours).
• Overnight Session default: 18:00–09:29.
Adjust for your market if you use different “day” hours (e.g., many use 08:20–13:30 ET for COMEX Gold).
3. Theme & Minimal Mode: pick a Theme Preset; enable Minimal Mode for screenshots.
4. Visibility: toggle PD/ON/VWAP/IB/References/Panel to taste.
5. Right-edge labels: turn Show Right-Edge Labels on. If they crowd, tune:
• Anti-overlap: min separation (ticks)
• Horizontal offset per tag (bars)
• Vertical jitter per step (ticks)
• Right-edge baseline offset (bars)
6. Alerts: open Add alert → Condition: and pick the events you want.
⸻
How levels are computed (no repainting)
• PDH/PDL: Intraday H/L are accumulated only while in RTH and saved at RTH close for “yesterday’s” values.
• ONH/ONL: Accumulated across the defined Overnight window and then held during RTH.
• RTH VWAP & ±σ: Volume-weighted mean and standard deviation, reset at the RTH open.
• IB: First N minutes of RTH (default 60). Extensions (1.5×/2.0×) appear after IB completes.
• Gaps: Today’s RTH open vs prior RTH close; “Gap Filled” triggers when price trades back to prior close.
⸻
Practical playbooks (how to trade around the levels)
1) PDH/PDL interactions
• Rejection: Price taps PDH/PDL then closes back inside → mean-reversion toward VWAP/IB.
• Acceptance: Close/hold beyond PDH/PDL with momentum → continuation to next HTF/IB target.
• Alert: PD Touch/Break.
2) ONH/ONL “taken”
• Often one ON extreme is taken during RTH. ONH Taken / ONL Taken → check if it’s a clean break or sweep & reclaim.
• Sweep + reclaim near VWAP can fuel rotations through the ON range.
3) VWAP ±σ framework
• Balanced: First tag of ±1σ often reverts toward VWAP.
• Trend: Persistent trade beyond ±1σ + IB break → target ±2σ/±3σ.
• Alerts: VWAP Cross and VWAP Reject (cross then immediate fail back).
4) IB breaks
• After IB completes, a clean IB break commonly targets 1.5× and sometimes 2.0×.
• Quick return inside IB = possible fade back to the opposite IB edge/VWAP.
• Alerts: IB Break Up / Down.
5) Gaps
• Gap-and-go: Opening drive away from prior close + VWAP support → trend until IB completion.
• Gap-fill: Weak open and VWAP overhead/underfoot → trade toward prior close; manage on Gap Filled alert.
Pro tip: Stack confluences (e.g., ONL sweep + VWAP reclaim + IB hold) and respect your execution rules (e.g., require a 5-minute close in direction, or your order-flow confirmation).
⸻
Inputs you’ll actually touch
• Sessions (ET): Session Timezone, RTH Session, Overnight Session.
• Visibility: toggles for PD/ON/VWAP/IB/Ref/Panel.
• VWAP bands: set σ multipliers (±1/±2/±3).
• IB: duration (minutes) and extension multipliers (1.5× / 2.0×).
• Style & Theme: Theme Preset, Main Line Width, Trackprice, Minimal Mode, and anti-overlap controls.
⸻
Alerts included
• PD Touch/Break — High ≥ PDH or Low ≤ PDL
• ONH Taken / ONL Taken — First in-RTH take of ONH/ONL
• VWAP Cross — Close crosses VWAP
• VWAP Reject — Cross then immediate fail back
• IB Break Up / Down — Break of IB High/Low after IB completes
• Gap Filled — Price trades back to prior RTH close
Setup: Add alert → Condition: Algo Index — Levels Pro → choose event → message → Notify on app/email.
⸻
Panel guide
The top-right panel shows each level plus live distance from last price:
LevelValue (Δpoints | Δticks)
Coloring: green if level is below current price, red if above.
⸻
Styling & screenshot tips
• Use Theme Preset that matches your chart.
• For dark charts, “Dark Hi-Contrast” with Main Line Width = 3 works well.
• Enable Trackprice for crisp axis tags that always stick to the right edge.
• Turn on Minimal Mode for cleaner screenshots (no VWAP bands or IB extensions, on-chart tags off; price-scale tags remain).
• If tags crowd, increase min separation (ticks) to 30–60 and horizontal offset to 3–5; add vertical jitter (4–12 ticks) and/or push tags farther right with baseline offset (bars).
⸻
Behavior & limitations
• Levels are computed incrementally; tables refresh on the last bar for efficiency.
• Right-edge labels are placed at bar_index + offset and do not track extra right-margin scrolling (TradingView limitation). The price-scale tags (from trackprice) do track the axis.
• “RTH” is what you define in inputs. If your market uses different day hours, change the session strings so PDH/PDL reflect your definition of “yesterday’s session.”
⸻
FAQ
Q: My PDH/PDL don’t match the daily chart.
A: By design this uses RTH-only highs/lows, not 24h daily bars. Adjust sessions if you want a different definition.
Q: Right-edge tags overlap or don’t sit at the far right.
A: Increase min separation / horizontal offset / vertical jitter and/or push tags farther with baseline offset. If you want markers that always hug the axis, rely on Trackprice.
Q: Can I change killzones?
A: Yes—edit the session strings in settings or request a version with user inputs for custom windows.
⸻
Disclaimer
Educational use only. This is not financial advice. Always apply your own risk management and confirmation rules.
⸻
Enjoy it? Please ⭐ the script and share screenshots using Minimal Mode + a Theme Preset that fits your style.
FVG Premium [no1x]█ OVERVIEW
This indicator provides a comprehensive toolkit for identifying, visualizing, and tracking Fair Value Gaps (FVGs) across three distinct timeframes (current chart, a user-defined Medium Timeframe - MTF, and a user-defined High Timeframe - HTF). It is designed to offer traders enhanced insight into FVG dynamics through detailed state monitoring (formation, partial fill, full mitigation, midline touch), extensive visual customization for FVG representation, and a rich alert system for timely notifications on FVG-related events.
█ CONCEPTS
This indicator is built upon the core concept of Fair Value Gaps (FVGs) and their significance in price action analysis, offering a multi-layered approach to their detection and interpretation across different timeframes.
Fair Value Gaps (FVGs)
A Fair Value Gap (FVG), also known as an imbalance, represents a range in price delivery where one side of the market (buying or selling) was more aggressive, leaving an inefficiency or an "imbalance" in the price action. This concept is prominently featured within Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies, where such gaps are often interpreted as footprints left by "smart money" due to rapid, forceful price movements. These methodologies suggest that price may later revisit these FVG zones to rebalance a prior inefficiency or to seek liquidity before continuing its path. These gaps are typically identified by a three-bar pattern:
Bullish FVG : This is a three-candle formation where the second candle shows a strong upward move. The FVG is the space created between the high of the first candle (bottom of FVG) and the low of the third candle (top of FVG). This indicates a strong upward impulsive move.
Bearish FVG : This is a three-candle formation where the second candle shows a strong downward move. The FVG is the space created between the low of the first candle (top of FVG) and the high of the third candle (bottom of FVG). This indicates a strong downward impulsive move.
FVGs are often watched by traders as potential areas where price might return to "rebalance" or find support/resistance.
Multi-Timeframe (MTF) Analysis
The indicator extends FVG detection beyond the current chart's timeframe (Low Timeframe - LTF) to two higher user-defined timeframes: Medium Timeframe (MTF) and High Timeframe (HTF). This allows traders to:
Identify FVGs that might be significant on a broader market structure.
Observe how FVGs from different timeframes align or interact.
Gain a more comprehensive perspective on potential support and resistance zones.
FVG State and Lifecycle Management
The indicator actively tracks the lifecycle of each detected FVG:
Formation : The initial identification of an FVG.
Partial Fill (Entry) : When price enters but does not completely pass through the FVG. The indicator updates the "current" top/bottom of the FVG to reflect the filled portion.
Midline (Equilibrium) Touch : When price touches the 50% level of the FVG.
Full Mitigation : When price completely trades through the FVG, effectively "filling" or "rebalancing" the gap. The indicator records the mitigation time.
This state tracking is crucial for understanding how price interacts with these zones.
FVG Classification (Large FVG)
FVGs can be optionally classified as "Large FVGs" (LV) if their size (top to bottom range) exceeds a user-defined multiple of the Average True Range (ATR) for that FVG's timeframe. This helps distinguish FVGs that are significantly larger relative to recent volatility.
Visual Customization and Information Delivery
A key concept is providing extensive control over how FVGs are displayed. This control is achieved through a centralized set of visual parameters within the indicator, allowing users to configure numerous aspects (colors, line styles, visibility of boxes, midlines, mitigation lines, labels, etc.) for each timeframe. Additionally, an on-chart information panel summarizes the nearest unmitigated bullish and bearish FVG levels for each active timeframe, providing a quick glance at key price points.
█ FEATURES
This indicator offers a rich set of features designed to provide a highly customizable and comprehensive Fair Value Gap (FVG) analysis experience. Users can tailor the FVG detection, visual representation, and alerting mechanisms across three distinct timeframes: the current chart (Low Timeframe - LTF), a user-defined Medium Timeframe (MTF), and a user-defined High Timeframe (HTF).
Multi-Timeframe FVG Detection and Display
The core strength of this indicator lies in its ability to identify and display FVGs from not only the current chart's timeframe (LTF) but also from two higher, user-selectable timeframes (MTF and HTF).
Timeframe Selection: Users can specify the exact MTF (e.g., "60", "240") and HTF (e.g., "D", "W") through dedicated inputs in the "MTF (Medium Timeframe)" and "HTF (High Timeframe)" settings groups. The visibility of FVGs from these higher timeframes can be toggled independently using the "Show MTF FVGs" and "Show HTF FVGs" checkboxes.
Consistent Detection Logic: The FVG detection logic, based on the classic three-bar imbalance pattern detailed in the 'Concepts' section, is applied consistently across all selected timeframes (LTF, MTF, HTF)
Timeframe-Specific Visuals: Each timeframe's FVGs (LTF, MTF, HTF) can be customized with unique colors for bullish/bearish states and their mitigated counterparts. This allows for easy visual differentiation of FVGs originating from different market perspectives.
Comprehensive FVG Visualization Options
The indicator provides extensive control over how FVGs are visually represented on the chart for each timeframe (LTF, MTF, HTF).
FVG Boxes:
Visibility: Main FVG boxes can be shown or hidden per timeframe using the "Show FVG Boxes" (for LTF), "Show Boxes" (for MTF/HTF) inputs.
Color Customization: Colors for bullish, bearish, active, and mitigated FVG boxes (including Large FVGs, if classified) are fully customizable for each timeframe.
Box Extension & Length: FVG boxes can either be extended to the right indefinitely ("Extend Boxes Right") or set to a fixed length in bars ("Short Box Length" or "Box Length" equivalent inputs).
Box Labels: Optional labels can display the FVG's timeframe and fill percentage on the box. These labels are configurable for all timeframes (LTF, MTF, and HTF). Please note: If FVGs are positioned very close to each other on the chart, their respective labels may overlap. This can potentially lead to visual clutter, and it is a known behavior in the current version of the indicator.
Box Borders: Visibility, width, style (solid, dashed, dotted), and color of FVG box borders are customizable per timeframe.
Midlines (Equilibrium/EQ):
Visibility: The 50% level (midline or EQ) of FVGs can be shown or hidden for each timeframe.
Style Customization: Width, style, and color of the midline are customizable per timeframe. The indicator tracks if this midline has been touched by price.
Mitigation Lines:
Visibility: Mitigation lines (representing the FVG's opening level that needs to be breached for full mitigation) can be shown or hidden for each timeframe. If shown, these lines are always extended to the right.
Style Customization: Width, style, and color of the mitigation line are customizable per timeframe.
Mitigation Line Labels: Optional price labels can be displayed on mitigation lines, with a customizable horizontal bar offset for positioning. For optimal label placement, the following horizontal bar offsets are recommended: 4 for LTF, 8 for MTF, and 12 for HTF.
Persistence After Mitigation: Users can choose to keep mitigation lines visible even after an FVG is fully mitigated, with a distinct color for such lines. Importantly, this option is only effective if the general setting 'Hide Fully Mitigated FVGs' is disabled, as otherwise, the entire FVG and its lines will be removed upon mitigation.
FVG State Management and Behavior
The indicator tracks and visually responds to changes in FVG states.
Hide Fully Mitigated FVGs: This option, typically found in the indicator's general settings, allows users to automatically remove all visual elements of an FVG from the chart once price has fully mitigated it. This helps maintain chart clarity by focusing on active FVGs.
Partial Fill Visualization: When price enters an FVG, the indicator offers a dynamic visual representation: the portion of the FVG that has been filled is shown as a "mitigated box" (typically with a distinct color), while the original FVG box shrinks to clearly highlight the remaining, unfilled portion. This two-part display provides an immediate visual cue about how much of the FVG's imbalance has been addressed and what potential remains within the gap.
Visual Filtering by ATR Proximity: To help users focus on the most relevant price action, FVGs can be dynamically hidden if they are located further from the current price than a user-defined multiple of the Average True Range (ATR). This behavior is controlled by the "Filter Band Width (ATR Multiple)" input; setting this to zero disables the filter entirely, ensuring all detected FVGs remain visible regardless of their proximity to price.
Alternative Usage Example: Mitigation Lines as Key Support/Resistance Levels
For traders preferring a minimalist chart focused on key Fair Value Gap (FVG) levels, the indicator's visualization settings can be customized to display only FVG mitigation lines. This approach leverages these lines as potential support and resistance zones, reflecting areas where price might revisit to address imbalances.
To configure this view:
Disable FVG Boxes: Turn off "Show FVG Boxes" (for LTF) or "Show Boxes" (for MTF/HTF) for the desired timeframes.
Hide Midlines: Disable the visibility of the 50% FVG Midlines (Equilibrium/EQ).
Ensure Mitigation Lines are Visible: Keep "Mitigation Lines" enabled.
Retain All Mitigation Lines:
Disable the "Hide Fully Mitigated FVGs" option in the general settings.
Enable the feature to "keep mitigation lines visible even after an FVG is fully mitigated". This ensures lines from all FVGs (active or fully mitigated) remain on the chart, which is only effective if "Hide Fully Mitigated FVGs" is disabled.
This setup offers:
A Decluttered Chart: Focuses solely on the FVG opening levels.
Precise S/R Zones: Treats mitigation lines as specific points for potential price reactions.
Historical Level Analysis: Includes lines from past, fully mitigated FVGs for a comprehensive view of significant price levels.
For enhanced usability with this focused view, consider these optional additions:
The on-chart Information Panel can be activated to display a quick summary of the nearest unmitigated FVG levels.
Mitigation Line Labels can also be activated for clear price level identification. A customizable horizontal bar offset is available for positioning these labels; for example, offsets of 4 for LTF, 8 for MTF, and 12 for HTF can be effective.
FVG Classification (Large FVG)
This feature allows for distinguishing FVGs based on their size relative to market volatility.
Enable Classification: Users can enable "Classify FVG (Large FVG)" to identify FVGs that are significantly larger than average.
ATR-Based Threshold: An FVG is classified as "Large" if its height (price range) is greater than or equal to the Average True Range (ATR) of its timeframe multiplied by a user-defined "Large FVG Threshold (ATR Multiple)". The ATR period for this calculation is also configurable.
Dedicated Colors: Large FVGs (both bullish/bearish and active/mitigated) can be assigned unique colors, making them easily distinguishable on the chart.
Panel Icon: Large FVGs are marked with a special icon in the Info Panel.
Information Panel
An on-chart panel provides a quick summary of the nearest unmitigated FVG levels.
Visibility and Position: The panel can be shown/hidden and positioned in any of the nine standard locations on the chart (e.g., Top Right, Middle Center).
Content: It displays the price levels of the nearest unmitigated bullish and bearish FVGs for LTF, MTF (if active), and HTF (if active). It also indicates if these nearest FVGs are Large FVGs (if classification is enabled) using a selectable icon.
Styling: Text size, border color, header background/text colors, default text color, and "N/A" cell background color are customizable.
Highlighting: Background and text colors for the cells displaying the overall nearest bullish and bearish FVG levels (across all active timeframes) can be customized to draw attention to the most proximate FVG.
Comprehensive Alert System
The indicator offers a granular alert system for various FVG-related events, configurable for each timeframe (LTF, MTF, HTF) independently. Users can enable alerts for:
New FVG Formation: Separate alerts for new bullish and new bearish FVG formations.
FVG Entry/Partial Fill: Separate alerts for price entering a bullish FVG or a bearish FVG.
FVG Full Mitigation: Separate alerts for full mitigation of bullish and bearish FVGs.
FVG Midline (EQ) Touch: Separate alerts for price touching the midline of a bullish or bearish FVG.
Alert messages are detailed, providing information such as the timeframe, FVG type (bull/bear, Large FVG), relevant price levels, and timestamps.
█ NOTES
This section provides additional information regarding the indicator's usage, performance considerations, and potential interactions with the TradingView platform. Understanding these points can help users optimize their experience and troubleshoot effectively.
Performance and Resource Management
Maximum FVGs to Track : The "Max FVGs to Track" input (defaulting to 25) limits the number of FVG objects processed for each category (e.g., LTF Bullish, MTF Bearish). Increasing this value significantly can impact performance due to more objects being iterated over and potentially drawn, especially when multiple timeframes are active.
Drawing Object Limits : To manage performance, this script sets its own internal limits on the number of drawing objects it displays. While it allows for up to approximately 500 lines (max_lines_count=500) and 500 labels (max_labels_count=500), the number of FVG boxes is deliberately restricted to a maximum of 150 (max_boxes_count=150). This specific limit for boxes is a key performance consideration: displaying too many boxes can significantly slow down the indicator, and a very high number is often not essential for analysis. Enabling all visual elements for many FVGs across all three timeframes can cause the indicator to reach these internal limits, especially the stricter box limit
Optimization Strategies : To help you manage performance, reduce visual clutter, and avoid exceeding drawing limits when using this indicator, I recommend the following strategies:
Maintain or Lower FVG Tracking Count: The "Max FVGs to Track" input defaults to 25. I find this value generally sufficient for effective analysis and balanced performance. You can keep this default or consider reducing it further if you experience performance issues or prefer a less dense FVG display.
Utilize Proximity Filtering: I suggest activating the "Filter Band Width (ATR Multiple)" option (found under "General Settings") to display only those FVGs closer to the current price. From my experience, a value of 5 for the ATR multiple often provides a good starting point for balanced performance, but you should feel free to adjust this based on market volatility and your specific trading needs.
Hide Fully Mitigated FVGs: I strongly recommend enabling the "Hide Fully Mitigated FVGs" option. This setting automatically removes all visual elements of an FVG from the chart once it has been fully mitigated by price. Doing so significantly reduces the number of active drawing objects, lessens computational load, and helps maintain chart clarity by focusing only on active, relevant FVGs.
Disable FVG Display for Unused Timeframes: If you are not actively monitoring certain higher timeframes (MTF or HTF) for FVG analysis, I advise disabling their display by unchecking "Show MTF FVGs" or "Show HTF FVGs" respectively. This can provide a significant performance boost.
Simplify Visual Elements: For active FVGs, consider hiding less critical visual elements if they are not essential for your specific analysis. This could include box labels, borders, or even entire FVG boxes if, for example, only the mitigation lines are of interest for a particular timeframe.
Settings Changes and Platform Limits : This indicator is comprehensive and involves numerous calculations and drawings. When multiple settings are changed rapidly in quick succession, it is possible, on occasion, for TradingView to issue a "Runtime error: modify_study_limit_exceeding" or similar. This can cause the indicator to temporarily stop updating or display errors.
Recommended Approach : When adjusting settings, it is advisable to wait a brief moment (a few seconds) after each significant change. This allows the indicator to reprocess and update on the chart before another change is made
Error Recovery : Should such a runtime error occur, making a minor, different adjustment in the settings (e.g., toggling a checkbox off and then on again) and waiting briefly will typically allow the indicator to recover and resume correct operation. This behavior is related to platform limitations when handling complex scripts with many inputs and drawing objects.
Multi-Timeframe (MTF/HTF) Data and Behavior
HTF FVG Confirmation is Essential: : For an FVG from a higher timeframe (MTF or HTF) to be identified and displayed on your current chart (LTF), the three-bar pattern forming the FVG on that higher timeframe must consist of fully closed bars. The indicator does not draw speculative FVGs based on incomplete/forming bars from higher timeframes.
Data Retrieval and LTF Processing: The indicator may use techniques like lookahead = barmerge.lookahead_on for timely data retrieval from higher timeframes. However, the actual detection of an FVG occurs after all its constituent bars on the HTF have closed.
Appearance Timing on LTF (1 LTF Candle Delay): As a natural consequence of this, an FVG that is confirmed on an HTF (i.e., its third bar closes) will typically become visible on your LTF chart one LTF bar after its confirmation on the HTF.
Example: Assume an FVG forms on a 30-minute chart at 15:30 (i.e., with the close of the 30-minute bar that covers the 15:00-15:30 period). If you are monitoring this FVG on a 15-minute chart, the indicator will detect this newly formed 30-minute FVG while processing the data for the 15-minute bar that starts at 15:30 and closes at 15:45. Therefore, the 30-minute FVG will become visible on your 15-minute chart at the earliest by 15:45 (i.e., with the close of that relevant 15-minute LTF candle). This means the HTF FVG is reflected on the LTF chart with a delay equivalent to one LTF candle.
FVG Detection and Display Logic
Fair Value Gaps (FVGs) on the current chart timeframe (LTF) are detected based on barstate.isconfirmed. This means the three-bar pattern must be complete with closed bars before an FVG is identified. This confirmation method prevents FVGs from being prematurely identified on the forming bar.
Alerts
Alert Setup : To receive alerts from this indicator, you must first ensure you have enabled the specific alert conditions you are interested in within the indicator's own settings (see 'Comprehensive Alert System' under the 'FEATURES' section). Once configured, open TradingView's 'Create Alert' dialog. In the 'Condition' tab, select this indicator's name, and crucially, choose the 'Any alert() function call' option from the dropdown list. This setup allows the indicator to trigger alerts based on the precise event conditions you have activated in its settings
Alert Frequency : Alerts are designed to trigger once per bar close (alert.freq_once_per_bar_close) for the specific event.
User Interface (UI) Tips
Settings Group Icons: In the indicator settings menu, timeframe-specific groups are marked with star icons for easier navigation: 🌟 for LTF (Current Chart Timeframe), 🌟🌟 for MTF (Medium Timeframe), and 🌟🌟🌟 for HTF (High Timeframe).
Dependent Inputs: Some input settings are dependent on others being enabled. These dependencies are visually indicated in the settings menu using symbols like "↳" (dependent setting on the next line), "⟷" (mutually exclusive inline options), or "➜" (directly dependent inline option).
Settings Layout Overview: The indicator settings are organized into logical groups for ease of use. Key global display controls – such as toggles for MTF FVGs, HTF FVGs (along with their respective timeframe selectors), and the Information Panel – are conveniently located at the very top within the '⚙️ General Settings' group. This placement allows for quick access to frequently adjusted settings. Other sections provide detailed customization options for each timeframe (LTF, MTF, HTF), specific FVG components, and alert configurations.
█ FOR Pine Script® CODERS
This section provides a high-level overview of the FVG Premium indicator's internal architecture, data flow, and the interaction between its various library components. It is intended for Pine Script™ programmers who wish to understand the indicator's design, potentially extend its functionality, or learn from its structure.
System Architecture and Modular Design
The indicator is architected moduarly, leveraging several custom libraries to separate concerns and enhance code organization and reusability. Each library has a distinct responsibility:
FvgTypes: Serves as the foundational data definition layer. It defines core User-Defined Types (UDTs) like fvgObject (for storing all attributes of an FVG) and drawSettings (for visual configurations), along with enumerations like tfType.
CommonUtils: Provides utility functions for common tasks like mapping user string inputs (e.g., "Dashed" for line style) to their corresponding Pine Script™ constants (e.g., line.style_dashed) and formatting timeframe strings for display.
FvgCalculations: Contains the core logic for FVG detection (both LTF and MTF/HTF via requestMultiTFBarData), FVG classification (Large FVGs based on ATR), and checking FVG interactions with price (mitigation, partial fill).
FvgObject: Implements an object-oriented approach by attaching methods to the fvgObject UDT. These methods manage the entire visual lifecycle of an FVG on the chart, including drawing, updating based on state changes (e.g., mitigation), and deleting drawing objects. It's responsible for applying the visual configurations defined in drawSettings.
FvgPanel: Manages the creation and dynamic updates of the on-chart information panel, which displays key FVG levels.
The main indicator script acts as the orchestrator, initializing these libraries, managing user inputs, processing data flow between libraries, and handling the main event loop (bar updates) for FVG state management and alerts.
Core Data Flow and FVG Lifecycle Management
The general data flow and FVG lifecycle can be summarized as follows:
Input Processing: User inputs from the "Settings" dialog are read by the main indicator script. Visual style inputs (colors, line styles, etc.) are consolidated into a types.drawSettings object (defined in FvgTypes). Other inputs (timeframes, filter settings, alert toggles) control the behavior of different modules. CommonUtils assists in mapping some string inputs to Pine constants.
FVG Detection:
For the current chart timeframe (LTF), FvgCalculations.detectFvg() identifies potential FVGs based on bar patterns.
For MTF/HTF, the main indicator script calls FvgCalculations.requestMultiTFBarData() to fetch necessary bar data from higher timeframes, then FvgCalculations.detectMultiTFFvg() identifies FVGs.
Newly detected FVGs are instantiated as types.fvgObject and stored in arrays within the main script. These objects also undergo classification (e.g., Large FVG) by FvgCalculations.
State Update & Interaction: On each bar, the main indicator script iterates through active FVG objects to manage their state based on price interaction:
Initially, the main script calls FvgCalculations.fvgInteractionCheck() to efficiently determine if the current bar's price might be interacting with a given FVG.
If a potential interaction is flagged, the main script then invokes methods directly on the fvgObject instance (e.g., updateMitigation(), updatePartialFill(), checkMidlineTouch(), which are part of FvgObject).
These fvgObject methods are responsible for the detailed condition checking and the actual modification of the FVG's state. For instance, the updateMitigation() and updatePartialFill() methods internally utilize specific helper functions from FvgCalculations (like checkMitigation() and checkPartialMitigation()) to confirm the precise nature of the interaction before updating the fvgObject’s state fields (such as isMitigated, currentTop, currentBottom, or isMidlineTouched).
Visual Rendering:
The FvgObject.updateDrawings() method is called for each fvgObject. This method is central to drawing management; it creates, updates, or deletes chart drawings (boxes, lines, labels) based on the FVG's current state, its prev_* (previous bar state) fields for optimization, and the visual settings passed via the drawSettings object.
Information Panel Update: The main indicator script determines the nearest FVG levels, populates a panelData object (defined in FvgPanelLib), and calls FvgPanel.updatePanel() to refresh the on-chart display.
Alert Generation: Based on the updated FVG states and user-enabled alert settings, the main indicator script constructs and triggers alerts using Pine Script's alert() function."
Key Design Considerations
UDT-Centric Design: The fvgObject UDT is pivotal, acting as a stateful container for all information related to a single FVG. Most operations revolve around creating, updating, or querying these objects.
State Management: To optimize drawing updates and manage FVG lifecycles, fvgObject instances store their previous bar's state (e.g., prevIsVisible, prevCurrentTop). The FvgObject.updateDrawings() method uses this to determine if a redraw is necessary, minimizing redundant drawing calls.
Settings Object: A drawSettings object is populated once (or when inputs change) and passed to drawing functions. This avoids repeatedly reading numerous input() values on every bar or within loops, improving performance.
Dynamic Arrays for FVG Storage: Arrays are used to store collections of fvgObject instances, allowing for dynamic management (adding new FVGs, iterating for updates).
HMA Smoothed RSI [Pinescriptlabs]This indicator uses a modified version of the RSI (Relative Strength Index) weighted by volume. This means it not only takes into account the price but also the amount of volume supporting those price movements, making the indicator more sensitive to real market fluctuations.
Hull Moving Average (HMA) Applied to RSI: To smooth the volume-weighted RSI, a Hull Moving Average (HMA) is applied. The HMA is known for its ability to reduce market "noise" and quickly react to trend changes. This process helps better identify when an asset is overbought or oversold.
Overbought and Oversold Regions: The indicator sets clear overbought and oversold levels, which are adjustable. By default, the overbought level is set at 20 and the oversold level at -20, but you can customize these values. Additionally, there are extreme overbought and oversold levels to help identify more extreme market conditions where a price reversal is more likely.
Buy and Sell Signals:
Buy Signal: This is generated when the modified RSI crosses above the oversold level. This indicates that the price has dropped enough and may be about to rise.
Sell Signal: This occurs when the RSI crosses below the overbought level. This suggests that the price has risen too much and could be about to fall.
Dynamic Visualization and Colors: The indicator is displayed with different colors based on its behavior:
When the RSI is within normal levels, the color is neutral.
If it is above the overbought level, the color turns red (sell alert).
If it is below the oversold level, the color turns green (buy alert).
Alerts: This indicator also allows you to set up alerts. You will receive automatic notifications when buy or sell signals are generated, helping you make decisions without constantly monitoring the chart.
Español:
Este indicador utiliza una versión modificada del RSI (Índice de Fuerza Relativa), ponderado por volumen. Esto significa que no solo tiene en cuenta el precio, sino también la cantidad de volumen que respalda esos movimientos de precios, haciendo que el indicador sea más sensible a las fluctuaciones reales del mercado.
Media Móvil Hull (HMA) aplicada al RSI: Para suavizar el RSI ponderado por volumen, se le aplica una Media Móvil Hull (HMA). La HMA es conocida por su capacidad para reducir el "ruido" del mercado y reaccionar rápidamente a los cambios de tendencia. Este proceso ayuda a identificar mejor cuándo un activo está sobrecomprado o sobrevendido.
Regiones de sobrecompra y sobreventa: El indicador establece niveles claros de sobrecompra y sobreventa que son ajustables. Por defecto, el nivel de sobrecompra está en 20 y el de sobreventa en -20, pero puedes personalizar estos valores. Además, hay niveles extremos de sobrecompra y sobreventa que te ayudan a identificar condiciones más extremas del mercado, donde una reversión de precio es más probable.
Señales de compra y venta:
Señal de compra: Se genera cuando el RSI modificado cruza hacia arriba el nivel de sobreventa. Esto indica que el precio ha bajado lo suficiente y puede estar a punto de subir.
Señal de venta: Se produce cuando el RSI cruza hacia abajo el nivel de sobrecompra. Esto indica que el precio ha subido demasiado y podría estar a punto de bajar.
Visualización y colores dinámicos: El indicador se muestra con diferentes colores según su comportamiento:
Cuando el RSI está dentro de los niveles normales, el color es neutro.
Si está por encima del nivel de sobrecompra, el color se vuelve rojo (señal de alerta de venta).
Si está por debajo del nivel de sobreventa, el color se vuelve verde (señal de alerta de compra).
Alertas: Este indicador también te permite configurar alertas. Así, recibirás notificaciones automáticas cuando se generen señales de compra o venta, ayudándote a tomar decisiones sin estar constantemente monitoreando el gráfico.
How to automate this strategy for free using a chrome extension.Hey everyone,
Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep.
Step 1:
You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol)
Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert.
Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please.
This following script is for the custom alerts:
//@version=2
study("4All-Alert", shorttitle="Alerts")
src = close
len = input(4, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(5)
sn = 100 - rsin
ln = 0 + rsin
short = crossover(rsi, sn) ? 1 : 0
long = crossunder(rsi, ln) ? 1 : 0
plot(long, "Long", color=green)
plot(short, "Short", color=red)
Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts.
To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com
For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close.
In the message for a long place this as your message:
Long
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=13 sl=25
and for the short...
Short
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=13 sl=25
If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all.
I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView.
ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts.
There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided.
Best of luck and happy trading.
Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links.
www.okcoin.com
1broker.com
Fund Master Plus (TV Rev1, Dec2024)License: Mozilla Public License 2.0 (Open Source)
Version: Pine Script™ v6
Indicator Name: Fund Master Plus (TV Rev1, Dec2024)
Short Title: Fund Master Plus
About Fund Master Plus
Fund Master Plus indicator is an oscillating technical analysis tool designed to simulate the fund inflow and outflow trend.
Key features:
1. Fund Master Value and Candle
The candle highlights the direction of the Fund Master value.
Green candles represent an upward trend, while red candles indicate a downward trend.
When the candle crossover 0, it is a sign of the start of mid term bull, vice versa.
When the candle is above 0, it is a sign of mid-term bull, vice versa.
2. Fund Master Bar
This bar provides added visual representation of the Fund Master value.
Green bars represent and upward trend, while red bars indicate a downward trend.
3. FM EMA (Exponential Moving Average)
The Fund Master EMA (Exponential Moving Average) helps smooth out FM value fluctuations
and identify the overall trend.
When the candle crossover FM EMA, it is a sign of the start of short term bull, vice vera.
When the candle is above FM EMA, it is a sign of short term bull, vice versa.
4. EMA of FM EMA
This is an EMA of the Fund Master EMA, which can provide additional insights into the
trend's strength.
5. Candle Turn Green or Red
This feature generates alerts to signal potential trend changes.
6. Bottom Deviation & Top Deviation
Line plot and label of these deviation will show on indicator and the price chart to help user
identify potential buying and selling opportunities.
7. Alertcondition for Turn Green or Turn Red
User can set the alert using the Create Alert (the Clock Icon).
8. Table Summary
A table summary is provided to show indicator name, FM value, FM candle status,
Crossover, Crossunder, Turn Green, Turn Red status, Bar Number etc.
A tooltip for Filter Setting and a filter status check.
SOP to use the indicator:
Table (GR1):
Show Table: This option enables or disables the display of the table.
Text Size: This option allows you to set the text size for the table entries.
Width: This option sets the width of the table.
Fund Master Candle Color Setting (GR2):
FM candle will up by default.
This option enables the color setting of Fund Master candle.
Up: This option sets the color of the Fund Master candle for uptrend.
Down: This option sets the color of the Fund Master candle for downtrend.
Fund Master Bar and Color Setting (GR3):
Show Fund Master Bar: This option enables or disables the display of the Fund Master bar.
Up: This option sets the color of the Fund Master bar for uptrend.
Down: This option sets the color of the Fund Master bar for downtrend.
Fund Master EMA plots (GR4):
Show FM EMA: This option enables or disables the display of the Fund Master EMA line.
Look Back Period: This option sets the lookback period for the Fund Master EMA calculation.
EMA Color: This option sets the color of the Fund Master EMA line.
Show EMA of FM EMA: This option enables or disables the display of the EMA of the Fund Master EMA line.
Look Back Period 2: This option sets the lookback period for the EMA of the Fund Master EMA calculation.
Alerts: Fund Master Crossover & Crossunder EMA Line or 0 (GR5):
Show FM Crossover 0: This option enables or disables the display of the alert for FM crossover above the 0 line.
Show FM Crossunder 0: This option enables or disables the display of the alert for FM crossover below the 0 line.
Show FM Crossover EMA: This option enables or disables the display of the alert for FM crossover above the EMA line.
Show FM Crossunder EMA: This option enables or disables the display of the alert for FM crossover below the EMA line.
Bottom and Top Deviation (GR6):
Show Bottom Deviation: This option enables or disables the display of the bottom deviation line.
Show Top Deviation: This option enables or disables the display of the top deviation line.
Turn Green, Turn Red Alert (GR7):
Show Turn Green/Red Alerts: This option enables or disables the display of alerts for when the Fund Master value changes direction.
Current & Turn Green/Red Alerts: This option sets the number of bars to look back for the turn green/red alerts.
Band and User Input Setting (GR8):
100: This option enables or disables the display of the 100 band.
0: This option enables or disables the display of the 0 band.
-100: This option enables or disables the display of the -100 band.
User Input: This option enables or disables the display of a custom band based on user input.
Value: This option sets the value for the custom band.
Disclaimer
Attached chart is for the purpose of illustrating the use of indicator, no recommendation of buy/sell.
In this chart, all features in the setting are turned on (default and non default).
This chart is used to demonstrate the FM trend movement from mid-term bear to mid-term bull,
short-term bear and bull, bottom deviation and top deviation.
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Larry Williams Valuation Index [tradeviZion]Larry Williams Valuation Index
Welcome to the Larry Williams Valuation Index by tradeviZion! This script is an interpretation of Larry Williams' famous WillVal (Valuation) Index, originally developed in 1990 to help traders determine whether a market or asset is overvalued or undervalued. We've extended it to support multiple securities and offer alerts for different valuation levels, helping you make more informed trading decisions.
What is the Valuation Index?
The Valuation Index measures how a security's current price compares to its historical price action. It helps identify whether the security is overvalued (priced too high), undervalued (priced too low), or in a normal range.
This version supports multiple securities and uses valuation parameters to help you assess the relative valuation of three securities simultaneously. It can help you determine the best times to enter (buy) or exit (sell) the market.
Key Features
Multi-Security Analysis: Analyze up to three securities simultaneously to get a broader view of market conditions.
Valuation Levels: Automatically calculate overvaluation and undervaluation levels or set manual levels for consistent analysis.
Custom Alerts: Create custom alerts when securities move between overvalued, undervalued, or normal ranges.
Customizable Table Display: Display a table with valuation values and their status on the chart.
Getting Started
Step 1: Adding the Script to Your Chart
First, add the Larry Williams Valuation Index script to your chart on TradingView. The script is designed to work with any timeframe, but for best results, use weekly or daily timeframes for a longer-term perspective.
Step 2: Configuring Securities
The script allows you to analyze up to three different securities :
Security 1 (Default: DXY)
Security 2 (Default: GC1!)
Security 3 (Default: ZB1!)
You can enable or disable each security individually.
Custom Timeframe Option: You have the option to select a custom timeframe for analysis. This allows you to see whether the security is overvalued or undervalued in lower or higher timeframes. Note that this feature is experimental and has not been extensively tested. Larry Williams originally used the weekly timeframe to determine if a stock was overvalued or undervalued. By default, the indicator compares the current price with the security based on the selected timeframe, except if you choose to use a custom timeframe.
Pro Tip : New users can start with the default securities to understand the concept before using other assets.
Step 3: Valuation Index Settings
Short EMA Length : This is the short-term average used for calculations. A lower value makes it more responsive to recent price changes.
Long EMA Length : This is the long-term average, used to smooth the valuation over time.
Valuation Length (Default: 156) : Represents approximately three years of daily bars (as recommended by Larry Williams).
How is the Valuation Index Calculated?
The valuation calculation is done using a method called WVI (WillVal Index), which compares the current price of a security to the price of another correlated security. Here’s a step-by-step explanation:
1. Data Collection: The script takes the closing price of the security you are analyzing and the closing price of the correlated security.
2. Ratio Calculation : The ratio of the two prices is calculated:
Price Ratio = (Price of your security) / (Price of correlated security) * 100.
This ratio helps determine how expensive or cheap your security is compared to the correlated one.
3. Exponential Moving Averages (EMAs) : The price ratio is used to calculate short-term and long-term EMAs (Exponential Moving Averages). EMAs are used to create smooth lines that represent the average price of a security over a specific period of time, with more weight given to recent data. By calculating both short-term and long-term EMAs, we can identify the trend direction and how the security is performing compared to its historical averages.
4. Valuation Index Calculation:
The Valuation Index is calculated as the difference between the short-term EMA and the long-term EMA. This difference helps to determine if the security is currently overvalued or undervalued:
A positive value indicates that the price is above its longer-term trend, suggesting potential overvaluation.
A negative value indicates that the price is below its longer-term trend, suggesting potential undervaluation.
5. Normalization:
To make the valuation easier to interpret, the calculated valuation index is then normalized using the highest and lowest values over the selected valuation length (e.g., 156 bars).
This normalization process converts the index into a percentage between 0 and 100, where higher values indicate overvaluation and lower values indicate undervaluation.
Step 4: Understanding Valuation Levels
The valuation levels indicate whether a security is currently undervalued, overvalued, or in a normal range.
Manual Levels : You can manually set the overvaluation and undervaluation thresholds (default is 85 for overvalued and 15 for undervalued).
Auto Levels : The script can automatically calculate these levels based on recent price action, allowing you to adapt to changing market conditions.
Auto Levels Calculation Explained:
The Auto Levels are calculated by taking the average of the valuation indices for all three securities (e.g., index1, index2, and index3).
The script then looks at the highest and lowest values of this average over a selected number of recent bars (e.g., 50 bars).
The overvaluation level is determined by taking the highest value and multiplying it by a multiplier (e.g., 5). Similarly, the undervaluation level is calculated using the lowest value and the multiplier.
These dynamic levels adjust according to recent price action, providing an adaptive approach to identifying overvalued and undervalued conditions.
Step 5: How to Use the Script to Make Trading Decisions
For new users, here's a step-by-step trading strategy you can use with the Valuation Index:
1. Identify Undervalued Opportunities
When two or more securities are in the undervalued range (below 15 for manual or below automatically calculated undervalue levels), wait for at least two of these securities to turn from undervalued to normal .
This transition indicates a potential buy opportunity .
2. Buying Signal
When at least two securities transition from undervalued to normal, you can consider buying the asset.
This indicates that the market may be recovering from undervalued conditions and could be moving into a growth phase.
3. Selling Signal
Exit when the price high closes below the EMA 21 (21-day exponential moving average).
Alternatively, if the valuation index reaches overvalued levels (above 85 manually or auto-calculated), wait for it to drop back to normal . This can be another point to exit the trade .
You can also use any other sell condition based on your r isk management strategy .
Alerts for Valuation Levels
The script includes alerts to notify you of changing market conditions:
To activate these alerts, follow these steps, referring to the provided screenshot with detailed steps:
1. Enable Alerts : Click on the settings gear icon on the script title in your chart. In the settings menu, scroll to the section labeled Alerts Settings .
Enable Alerts by checking the Enable Alerts box.
Set the Required Securities for Alert (default is 2 securities).
Choose the Alert Frequency : Selecting Once Per Bar Close will trigger alerts only at the close of each bar, ensuring you receive confirmed signals rather than potentially noisy intermediate signals.
2. Select Alert Type : Choose the type of alert you want to activate, such as Alert on Overvalued, Alert on Undervalued, Alert on Over to Normal , or Alert on Under to Normal .
3. Save Settings : Click OK to save your alert settings.
4. Add Alert on Indicator : Click the "..." (More button) next to the indicator name on the chart and select " Add alert on tradeviZion - WillVal ".
5. Create Alert : In the Create Alert window:
Set Condition to tradeviZion - WillVal .
Ensure Any alert() function call is selected.
Set the Alert Name and select your Expiration preferences.
6. Set Notification Preferences : Go to the Notifications tab and select how you want to receive notifications, such as via app notification, toast notification, email , or sound alert . Adjust these preferences to best suit your needs.
7. Click Create : Finally, click Create to activate the alert.
These alerts will help you stay informed about key market conditions and take action accordingly, ensuring you do not miss critical trading opportunities.
Understanding the Table Display
The script includes an interactive table on the chart to show the valuation status of each security:
Security : The name of the security being analyzed.
Value : The current valuation index value.
Status : Indicates whether the security is overvalued, undervalued , or in a normal range.
Color: Displays a color code for easy identification of status:
Red for overvalued.
Green for undervalued.
Other colors represent normal valuation levels.
Empowering Messages : Motivational messages are displayed to encourage disciplined trading. These messages will change periodically, helping keep a positive trading mindset.
Acknowledgment
This tool builds upon the foundational work of Larry Williams, who developed the WillVal (Valuation) Index concept. It also incorporates enhancements to extend multi-security analysis, valuation normalization, and advanced alerting features, providing a more versatile and powerful indicator. The Larry Williams Valuation Index [ tradeviZion ] helps traders make informed decisions by assessing overvalued and undervalued conditions for multiple securities simultaneously.
Note : Always practice proper risk management and thoroughly test the indicator to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
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