Open-Close Absolute Difference with Threshold CountsThe Open-Close Absolute Difference with Threshold Counts indicator is a versatile tool designed to help traders analyze the volatility and price movements within any given timeframe on their charts. This indicator calculates the absolute difference between the open and close prices for each bar, providing a clear visualization through a color-coded histogram.
Key features include:
• Timeframe Flexibility: Utilizes the current chart’s timeframe, whether it’s a 5-minute, hourly, or daily chart.
• Custom Thresholds: Allows you to set up to four custom threshold levels (Thresholds A, B, C, and D) with default values of 10, 15, 25, and 35, respectively.
• Period Customization: Enables you to define the number of bars (N) over which the indicator calculates the counts, with a default of 100 bars.
• Visual Threshold Lines: Plots horizontal dashed lines on the histogram representing each threshold for easy visual reference.
• Dynamic Counting: Counts and displays the number of times the absolute difference is less than or greater than each threshold within the specified period.
• Customizable Table Position: Offers the flexibility to position the results table anywhere on the chart (e.g., Top Right, Bottom Left).
How It Works:
1. Absolute Difference Calculation:
• For each bar on the chart, the indicator calculates the absolute difference between the open and close prices.
• This difference is plotted as a histogram:
• Green Bars: Close price is higher than the open price.
• Red Bars: Close price is lower than the open price.
2. Threshold Comparison and Counting:
• Compares the absolute difference to each of the four thresholds.
• Determines whether the difference is less than or greater than each threshold.
• Utilizes the ta.sum() function to count occurrences over the specified number of bars (N).
3. Results Table:
• Displays a table with three columns:
• Left Column: Counts where the absolute difference is less than the threshold.
• Middle Column: The threshold value.
• Right Column: Counts where the absolute difference is greater than the threshold.
• The table updates dynamically and can be positioned anywhere on the chart according to your preference.
4. Threshold Lines on Histogram:
• Plots horizontal dashed lines at each threshold level.
• Each line is color-coded for distinction:
• Threshold A: Yellow
• Threshold B: Orange
• Threshold C: Purple
• Threshold D: Blue
How to Use:
1. Add the Indicator to Your Chart:
• Open the Pine Editor on TradingView.
• Copy and paste the provided code into the editor.
• Click “Add to Chart.”
2. Configure Settings:
• Number of Bars (N):
• Set the period over which you want to calculate the counts (default is 100).
• Thresholds A, B, C, D:
• Input your desired threshold values (defaults are 10, 15, 25, 35).
• Table Position:
• Choose where you want the results table to appear on the chart:
• Options include “Top Left,” “Top Center,” “Top Right,” “Bottom Left,” “Bottom Center,” “Bottom Right.”
3. Interpret the Histogram:
• Observe the absolute differences plotted as a histogram.
• Use the color-coded bars to quickly assess whether the close price was higher or lower than the open price.
4. Analyze the Counts Table:
• Review the counts of occurrences where the absolute difference was less than or greater than each threshold.
• Use this data to gauge volatility and price movement intensity over the specified period.
5. Visual Reference with Threshold Lines:
• Refer to the horizontal dashed lines on the histogram to see how the absolute differences align with your thresholds.
Example Use Case:
Suppose you’re analyzing a 5-minute chart for a particular stock and want to understand its short-term volatility:
• Set the Number of Bars (N) to 50 to analyze the recent 50 bars.
• Adjust Thresholds based on the typical price movements of the stock, e.g., Threshold A: 0.5, Threshold B: 1.0, Threshold C: 1.5, Threshold D: 2.0.
• Position the Table at the “Top Right” for easy viewing.
By doing so, you can:
• Quickly see how often the stock experiences significant price movements within 5-minute intervals.
• Make informed decisions about entry and exit points based on the volatility patterns.
• Customize the thresholds and periods as market conditions change.
Benefits:
• Customizable Analysis: Tailor the indicator to fit various trading styles and timeframes.
• Quick Visualization: Instantly assess market volatility and price movement direction.
• Enhanced Decision-Making: Use the counts and visual cues to make more informed trading decisions.
• User-Friendly Interface: Simple configuration and clear display of information.
Note: Always test the indicator with different settings to find the configuration that best suits your trading strategy. This indicator should be used as part of a comprehensive analysis and not as the sole basis for trading decisions.
Komut dosyalarını "bar" için ara
COMBINED EMA & SMA + DOUBLE DEMA, $TOTAL 1W / 5D -- Ruslan CRYPTOCAP:TOTAL
This Pine Script indicator, **"EMAS"**, provides an enhanced visualization of multiple types of moving averages, including both **Exponential Moving Averages (EMA)**, **Simple Moving Averages (SMA)**, and **Double Exponential Moving Averages (DEMA)**. It allows the user to observe the relationship between these different types of moving averages and apply regime-based coloring to price bars based on the comparison between the EMAs and DEMAs.
#### Key Features:
1. **EMA & SMA:**
- **EMA (Exponential Moving Average):** Calculated using a customizable lookback period (default 17), the EMA places greater weight on more recent prices, making it react faster to price changes.
- **SMA (Simple Moving Average):** Uses an equal-weighted average over a customizable lookback period (default 14), providing a slower-moving average compared to the EMA.
2. **DEMA (Double Exponential Moving Average):**
- Two separate DEMA lines are plotted using different lookback periods (default 2 and 14). The DEMA is a smoother and faster-responding version of the EMA, intended to reduce lag while retaining trend-following characteristics.
3. **Combined Signals:**
- The script calculates ratios between EMA/SMA (`comb`) and DEMA1/DEMA2 (`combd`) to generate a **regime-based bar coloring system**:
- If `combd > comb`: The bars are colored **green**, indicating that DEMAs are outperforming the EMAs, potentially signaling a stronger trend or momentum.
- If `comb > combd`: The bars are colored **red**, suggesting that the EMAs are dominant, which may indicate a different phase of the market.
4. **Signal SMA:**
- A 21-period **SMA** is plotted as a general trend-following signal. It provides a broader perspective on the current price trend, helping to smooth out short-term fluctuations.
5. **Customizable Options:**
- **"Show MAs?"**: The user has the option to toggle the display of the EMA, SMA, and DEMA lines on or off.
- **Custom Period Inputs**: Each type of moving average can have its period length customized via the input settings for better adaptability to different market conditions.
#### How to Use the Indicator:
- **Trend Following**:
The **EMA, SMA, and DEMA** values can help you determine the direction of the trend. When the EMA is above the SMA, it could indicate a stronger, more recent upward momentum. Similarly, DEMA comparisons provide smoother and faster trend signals.
- **Bar Coloring Regime**:
The **bar color** gives a quick visual cue of the regime:
- **Green bars** suggest that DEMAs are indicating stronger bullish or bearish signals compared to the EMAs.
- **Red bars** imply the opposite, where EMAs may be showing stronger signals, but possibly with more noise or lag.
- **Signal SMA**:
The **21-period SMA** line can be used as a simple trend indicator. When the price is above this line, it could signify an uptrend, while price movement below the line might indicate a downtrend.
#### Custom Inputs:
- **EMA Length**: Default is 17, but can be adjusted to fit your trading style.
- **SMA Length**: Default is 14.
- **DEMA Lengths**: Two customizable inputs for DEMA (default 2 and 14).
- **Source Selection**: You can choose which price source (close, open, high, low, etc.) to use for each calculation (default is the closing price).
#### Conclusion:
This indicator is useful for traders who wish to blend **trend-following strategies** (using EMA, SMA, and DEMA) with **visual regime indicators** (bar coloring). It is highly customizable, allowing traders to adjust settings based on their market approach. The combination of EMAs and DEMAs provides a nuanced view of price dynamics, potentially leading to better-informed trading decisions.
Uptrick: Dynamic AMA RSI Indicator### **Uptrick: Dynamic AMA RSI Indicator**
**Overview:**
The **Uptrick: Dynamic AMA RSI Indicator** is an advanced technical analysis tool designed for traders who seek to optimize their trading strategies by combining adaptive moving averages with the Relative Strength Index (RSI). This indicator dynamically adjusts to market conditions, offering a nuanced approach to trend detection and momentum analysis. By leveraging the Adaptive Moving Average (AMA) and Fast Adaptive Moving Average (FAMA), along with RSI-based overbought and oversold signals, traders can better identify entry and exit points with higher precision and reduced noise.
**Key Components:**
1. **Source Input:**
- The source input is the price data that forms the basis of all calculations. Typically set to the closing price, traders can customize this to other price metrics such as open, high, low, or even the output of another indicator. This flexibility allows the **Uptrick** indicator to be tailored to a wide range of trading strategies.
2. **Adaptive Moving Average (AMA):**
- The AMA is a moving average that adapts its sensitivity based on the dominant market cycle. This adaptation allows the AMA to respond swiftly to significant price movements while smoothing out minor fluctuations, making it particularly effective in trending markets. The AMA adjusts its responsiveness dynamically using a calculated phase adjustment from the dominant cycle, ensuring it remains responsive to the current market environment without being overly reactive to market noise.
3. **Fast Adaptive Moving Average (FAMA):**
- The FAMA is a more sensitive version of the AMA, designed to react faster to price changes. It serves as a signal line in the crossover strategy, highlighting shorter-term trends. The interaction between the AMA and FAMA forms the core of the signal generation, with crossovers between these lines indicating potential buy or sell opportunities.
4. **Relative Strength Index (RSI):**
- The RSI is a momentum oscillator that measures the speed and change of price movements, providing insights into whether an asset is overbought or oversold. In the **Uptrick** indicator, the RSI is used to confirm the validity of crossover signals between the AMA and FAMA, adding an additional layer of reliability to the trading signals.
**Indicator Logic:**
1. **Dominant Cycle Calculation:**
- The indicator starts by calculating the dominant market cycle using a smoothed price series. This involves applying exponential moving averages to a series of price differences, extracting cycle components, and determining the instantaneous phase of the cycle. This phase is then adjusted to provide a phase adjustment factor, which plays a critical role in determining the adaptive alpha.
2. **Adaptive Alpha Calculation:**
- The adaptive alpha, a key feature of the AMA, is computed based on the fast and slow limits set by the trader. This alpha is clamped within these limits to ensure the AMA remains appropriately sensitive to market conditions. The dynamic adjustment of alpha allows the AMA to be highly responsive in volatile markets and more conservative in stable markets.
3. **Crossover Detection:**
- The indicator generates trading signals based on crossovers between the AMA and FAMA:
- **CrossUp:** When the AMA crosses above the FAMA, it indicates a potential bullish trend, suggesting a buy opportunity.
- **CrossDown:** When the AMA crosses below the FAMA, it signals a potential bearish trend, indicating a sell opportunity.
4. **RSI Confirmation:**
- To enhance the reliability of these crossover signals, the indicator uses the RSI to confirm overbought and oversold conditions:
- **Buy Signal:** A buy signal is generated only when the AMA crosses above the FAMA and the RSI confirms an oversold condition, ensuring that the signal aligns with a momentum reversal from a low point.
- **Sell Signal:** A sell signal is triggered when the AMA crosses below the FAMA and the RSI confirms an overbought condition, indicating a momentum reversal from a high point.
5. **Signal Management:**
- To prevent signal redundancy during strong trends, the indicator tracks the last generated signal (buy or sell) and ensures that the next signal is only issued when there is a genuine reversal in trend direction.
6. **Signal Visualization:**
- **Buy Signals:** The indicator plots a "BUY" label below the bar when a buy signal is generated, using a green color to clearly mark the entry point.
- **Sell Signals:** A "SELL" label is plotted above the bar when a sell signal is detected, marked in red to indicate an exit or shorting opportunity.
- **Bar Coloring (Optional):** Traders have the option to enable bar coloring, where green bars indicate a bullish trend (AMA above FAMA) and red bars indicate a bearish trend (AMA below FAMA), providing a visual representation of the market’s direction.
**Customization Options:**
- **Source:** Traders can select the price data input that best suits their strategy (e.g., close, open, high, low, or custom indicators).
- **Fast Limit:** Adjustable sensitivity for the fast response of the AMA, allowing traders to tailor the indicator to different market conditions.
- **Slow Limit:** Sets the slower boundary for the AMA’s sensitivity, providing stability in less volatile markets.
- **RSI Length:** The period for the RSI calculation can be adjusted to fit different trading timeframes.
- **Overbought/Oversold Levels:** These thresholds can be customized to define the RSI levels that trigger buy or sell confirmations.
- **Enable Bar Colors:** Traders can choose whether to enable bar coloring based on the AMA/FAMA relationship, enhancing visual clarity.
**How Different Traders Can Use the Indicator:**
1. **Day Traders:**
- **Uptrick: Dynamic AMA RSI Indicator** is highly effective for day traders who need to make quick decisions in fast-moving markets. The adaptive nature of the AMA and FAMA allows the indicator to respond rapidly to intraday price swings. Day traders can use the buy and sell signals generated by the crossover and RSI confirmation to time their entries and exits with greater precision, minimizing exposure to false signals often prevalent in high-frequency trading environments.
2. **Swing Traders:**
- Swing traders can benefit from the indicator’s ability to identify and confirm trend reversals over several days or weeks. By adjusting the RSI length and sensitivity limits, swing traders can fine-tune the indicator to catch longer-term price movements, helping them to ride trends and maximize profits over medium-term trades. The dual confirmation of crossovers with RSI ensures that swing traders enter trades that have a higher probability of success.
3. **Position Traders:**
- For position traders who hold trades over longer periods, the **Uptrick** indicator offers a reliable method to stay in trades that align with the dominant trend while avoiding premature exits. By adjusting the slow limit and extending the RSI length, position traders can smooth out the indicator’s sensitivity, allowing them to focus on major market shifts rather than short-term volatility. The bar coloring feature also provides a clear visual indication of the overall trend, aiding in trade management decisions.
4. **Scalpers:**
- Scalpers, who seek to profit from small price movements, can use the fast responsiveness of the FAMA in conjunction with the RSI to identify micro-trends within larger market moves. The indicator’s ability to adapt quickly to changing conditions makes it a valuable tool for scalpers looking to execute numerous trades in a short period, capturing profits from minor price fluctuations while avoiding prolonged exposure.
5. **Algorithmic Traders:**
- Algorithmic traders can incorporate the **Uptrick** indicator into automated trading systems. The precise crossover signals combined with RSI confirmation provide clear and actionable rules that can be coded into algorithms. The adaptive nature of the indicator ensures that it can be used across different market conditions and timeframes, making it a versatile component of algorithmic strategies.
**Usage:**
The **Uptrick: Dynamic AMA RSI Indicator** is a versatile tool that can be integrated into various trading strategies, from short-term day trading to long-term investing. Its ability to adapt to changing market conditions and provide clear buy and sell signals makes it an invaluable asset for traders seeking to improve their trading performance. Whether used as a standalone indicator or in conjunction with other technical tools, **Uptrick** offers a dynamic approach to market analysis, helping traders to navigate the complexities of financial markets with greater confidence.
**Conclusion:**
The **Uptrick: Dynamic AMA RSI Indicator** offers a comprehensive and adaptable solution for traders across different styles and timeframes. By combining the strengths of adaptive moving averages with RSI confirmation, it delivers robust signals that help traders capitalize on market trends while minimizing the risk of false signals. This indicator is a powerful addition to any trader’s toolkit, enabling them to make informed decisions with greater precision and confidence. Whether you're a day trader, swing trader, or long-term investor, the **Uptrick** indicator can enhance your trading strategy and improve your market outcomes.
Swing Trend AnalysisIntroducing the Swing Trend Analyzer: A Powerful Tool for Swing and Positional Trading
The Swing Trend Analyzer is a cutting-edge indicator designed to enhance your swing and positional trading by providing precise entry points based on volatility contraction patterns and other key technical signals. This versatile tool is packed with features that cater to traders of all timeframes, offering flexibility, clarity, and actionable insights.
Key Features:
1. Adaptive Moving Averages:
The Swing Trend Analyzer offers multiple moving averages tailored to the timeframe you are trading on. On the daily chart, you can select up to four different moving average lengths, while all other timeframes provide three moving averages. This flexibility allows you to fine-tune your analysis according to your trading strategy. Disabling a moving average is as simple as setting its value to zero, making it easy to customize the indicator to your needs.
2. Dynamic Moving Average Colors Based on Relative Strength:
This feature allows you to compare the performance of the current ticker against a major index or any symbol of your choice. The moving average will change color based on whether the ticker is outperforming or underperforming the selected index over the chosen period. For example, on a daily chart, if the 21-day moving average turns blue, it indicates that the ticker has outperformed the selected index over the last 21 days. This visual cue helps you quickly identify relative strength, a key factor in successful swing trading.
3. Visual Identification of Price Contractions:
The Swing Trend Analyzer changes the color of price bars to white (on a dark theme) or black (on a light theme) when a contraction in price is detected. Price contractions are highlighted when either of the following conditions is met: a) the current bar is an inside bar, or b) the price range of the current bar is less than the 14-period Average Daily Range (ADR). This feature makes it easier to spot price contractions across all timeframes, which is crucial for timing entries in swing trading.
4. Overhead Supply Detection with Automated Resistance Lines:
The indicator intelligently detects the presence of overhead supply and draws a single resistance line to avoid clutter on the chart. As price breaches the resistance line, the old line is automatically deleted, and a new resistance line is drawn at the appropriate level. This helps you focus on the most relevant resistance levels, reducing noise and improving decision-making.
5. Buyable Gap Up Marker: The indicator highlights bars in blue when a candle opens with a gap that remains unfilled. These bars are potential Buyable Gap Up (BGU) candidates, signaling opportunities for long-side entries.
6. Comprehensive Swing Trading Information Table:
The indicator includes a detailed table that provides essential data for swing trading:
a. Sector and Industry Information: Understand the sector and industry of the ticker to identify stocks within strong sectors.
b. Key Moving Averages Distances (10MA, 21MA, 50MA, 200MA): Quickly assess how far the current price is from key moving averages. The color coding indicates whether the price is near or far from these averages, offering vital visual cues.
c. Price Range Analysis: Compare the current bar's price range with the previous bar's range to spot contraction patterns.
d. ADR (20, 10, 5): Displays the Average Daily Range over the last 20, 10, and 5 periods, crucial for identifying contraction patterns. On the weekly chart, the ADR continues to provide daily chart information.
e. 52-Week High/Low Data: Shows how close the stock is to its 52-week high or low, with color coding to highlight proximity, aiding in the identification of potential breakout or breakdown candidates.
f. 3-Month Price Gain: See the price gain over the last three months, which helps identify stocks with recent momentum.
7. Pocket Pivot Detection with Visual Markers:
Pocket pivots are a powerful bullish signal, especially relevant for swing trading. Pocket pivots are crucial for swing trading and are effective across all timeframes. The indicator marks pocket pivots with circular markers below the price bar:
a. 10-Day Pocket Pivot: Identified when the volume exceeds the maximum selling volume of the last 10 days. These are marked with a blue circle.
b. 5-Day Pocket Pivot: Identified when the volume exceeds the maximum selling volume of the last 5 days. These are marked with a green circle.
The Swing Trend Analyzer is designed to provide traders with the tools they need to succeed in swing and positional trading. Whether you're looking for precise entry points, analyzing relative strength, or identifying key price contractions, this indicator has you covered. Experience the power of advanced technical analysis with the Swing Trend Analyzer and take your trading to the next level.
Get intraday extended dataIf you have interacted with Pine for some time, you probably noticed that if you are using DWM resolutions, you will not be able to obtain complete data from the extended intraday ticker using the usual functions request.security() and request.security_lower_tf(). This is quite logical if you understand the principle of mapping data from the secure context to the main one. The main reason is the different opening and closing times of the intraday data with extended clocks and DWM.
This script visualizes one of the approaches to solving this problem. I will briefly describe the principle of operation:
For example, take the symbol NASDAQ:AAPL.
Our main resolution is 1D, but we want to receive extended data from a 4-hour interval. The daytime bar opens at 09:30 and closes at 16:00. The same period at a resolution of 4 hours covers 4 bars:
04:00 - 08:00
08:00 - 12:00
12:00 - 16:00
16:00 - 20:00
So, if we use the request.security_lower_tf() function, we will not get the bars 04:00 - 08:00 and 16:00 - 20:00 because their closing times are not within the range of the main context (09:30 - 16:00).
If we use the request.security() function, we will get the bar 04:00 - 08:00, but we will not get the bar 16:00 - 20:00 because its closing time will be in the future, and it is impossible to get values from the future.
So, what I propose is to use the upgraded request.security() function, inside which another function will be executed, storing all the bars in a var array and putting the post-market bars in the array of the next day. Next, all we have to do is isolate these bars, place them in the previous array, and remove them from the current one.
I visualized the received data simply as text, but you can do it differently using the proposed mechanism.
In order for everything to work, you need to fill in the inputs correctly:
"Symbol for calculate" - This is the symbol from which we will receive extended data.
"Intraday data period" - The period from which we will receive extended data.
"Specify your chart timeframe here" - This is an input that allows you to operate with data from the main context while being inside the secure one. Enter your current chart timeframe here. If there are problems, a warning will appear informing you about this.
If you want to use these developments, take the get_data() function, it will return:
1. the number of past items - it is useful for outputting values in real time, because it is not possible to simply delete them there, because they will always arrive and it is easier to make a slice with an indentation for this number
2. cleared object of type Inner_data containing arrays of open, high, low, close, volume, time, time_close intraday data
3. its same value from the previous bar
Range Average Retest Model [LuxAlgo]The Range Average Retest Model tool highlights setups from the range average retest entry model, a model using the retest of the average between two opposite swing points as an entry.
This tool uses long-term volatility coupled with user-defined multipliers to filter out swing areas and set take profit and stop loss levels for all trades.
Key features include:
Draw up to 165 swing areas and their associated trades
Filter out swing areas using Pivot Length , Selection Mode and Threshold parameters
Filter out trades with Maximum Distance and Minimum Distance parameters
Enable or disable swing areas and select default colors
Enable or disable overlapping trades and change the default colors for Take Profit and Stop Loss zones
🔶 USAGE
The "Range Average Retest Model" is an entry model that enters a position when the price retests the average made between two swing points. Users can determine the period of the detected swing points from the "Pivot Length" setting.
The conditions for long or short trades, regardless of whether the swing area is bullish or bearish, are as follows:
Long positions: the current bar close is below the swing area average and the last bar close was above it.
Short positions: the current bar close is above the swing area average price and the last bar close was below it.
Each trade is displayed on the chart with a line connecting it to its swing area highlighting the range average, a green area for the take profit, and a red area for the stop loss.
Both the Take Profit and Stop Loss levels are calculated by applying your own multiplier in the settings panel to the long-term volatility measure, in this case, the average true range over the last 200 bars.
Trades will remain open until they reach either the Stop Loss or Take Profit price levels.
🔹 Filtering Swing Areas
The daily chart of the Nasdaq-100 futures (NQ) with pivot length 2 and bullish selection mode: it only detects bullish swing areas, but they are smaller and more numerous.
Traders can manipulate the behavior of the swing areas from the settings panel.
The Selection mode will filter areas by bias: it will detect bullish areas, bearish areas, or both.
The Threshold parameter is applied to the long-term volatility to filter out areas where the average prices are too close together; the higher the value, the greater the difference between the average prices must be.
🔹 Trades
3-minute chart of the Nasdaq-100 futures (NQ) with pivot length 5, bearish selection mode maximum distance 4, and stop loss 2: many trades detected with very asymmetric risk/reward.
The behavior of the trades is also manipulated from the settings panel.
The maximum and minimum distance parameters specify the number of bars a trade must be away from a swing area.
The Take Profit and Stop Loss parameters are applied to the long-term volatility to obtain their respective price levels.
🔹 Overlapping Trades
Same chart as before, but with overlapping trades: messy, right?
By default the tool does not show overlapping trades, this allows for a cleaner chart.
In the settings panel traders can enable overlapping mode, in which case the tool will show all available trades.
Traders must be aware that the chart can be very crowded.
🔶 SETTINGS
🔹 Swings
Pivot Length: How many bars are used to confirm a swing point. The larger this parameter is, the larger and fewer swing areas will be detected.
Selection Mode: Swing area detection mode, detect only bullish swings, only bearish swings, or both.
Threshold: Swing area comparator. This threshold is multiplied by a measure of volatility (average true range over the last 200 bars), for a new swing area to be detected it must have an average level that is sufficiently distant from the average level of any untouched swing area, this parameter controls that distance.
🔹 Trades
Maximum distance: Maximum distance allowed between a swing area and a trade.
Minimum distance: Minimum distance allowed between a swing area and a trade.
Take profit: The size of the take profit - this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
Stop loss: The size of the stop-loss: this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
SentinelsSentinels is a playful variation on combining different mean averages (MA).
A cross of 2 user-defined MA's (MA 1 & MA 2) initiates the drawing of a sentinel with tentacles, which, on its turn can provide potential support/resistance or entry/stop-loss/take profit zones.
The type of each MA (MA 1, MA 2 and tentacles) can be chosen from following options:
SMA
EMA
SMMA (RMA)
HullMA
WMA
VWMA
DEMA
TEMA
🔹 Examples
Fast & slow MA: HullMA, Tentacles: TEMA
Fast & slow MA: SMA, Tentacles: WMA
Fast & slow MA: WMA, Tentacles: WMA
Fast & slow MA: TEMA, Tentacles: TEMA
🔶 DETAILS
🔹 Head-Body
The head-body is formed by:
the slow MA when there is a crossunder.
the fast MA when there is a crossover.
The color of the head-body is a gradient which can be set. The color of the tentacles (non-gradient) can be set as well.
The head-body of the sentinel will be visible for maximum 60 bars after a cross has occured.
🔹 Tentacles
The length of the 'Tentacles' is calculated by taking the difference between the length of MA 1 and MA 2 , and dividing this by 6 -> diff .
The length of each tentacle is MA 1 + a multiple of diff .
The tentacles will only begin to show from 2 bars after a cross.
Each tentacle will be shown maximum x bars after the cross:
Tentacle 1: 15 bars
Tentacle 2: 20 bars
Tentacle 3: 25 bars
Tentacle 4: 30 bars
Tentacle 5: 35 bars
Tentacle 6: 40 bars
🔹 Switch lengths
By switching lengths the colors get switched too.
Note that the tentacles act differently though.
In that way, this can be an extra option to visualize the tentacles .
🔶 Happy Holidays
Merry Christmas and a Happy New Year!
Market Trend Indicator (FinnoVent)The Market Trend Indicator (FinnoVent) is a comprehensive trading tool designed to provide clear visual cues for market trends on TradingView charts. This indicator combines the principles of Exponential Moving Averages (EMAs), Bollinger Bands, the Average Directional Index (ADX), and the Relative Strength Index (RSI) to offer a nuanced view of market movements.
How It Works:
Trend Identification with EMAs: The indicator uses two EMAs (3-period and 30-period) to identify the primary trend. An upward trend is signaled when the 3-period EMA crosses above the 30-period EMA, while a downward trend is indicated when the 3-period EMA crosses below the 30-period EMA.
Sideways Market Detection: To identify sideways trends, the indicator employs Bollinger Bands, ADX, and RSI. A sideways (or consolidating) market condition is identified when:
The price is between the middle 60% of the Bollinger Bands (avoiding the top and bottom 20%).
The ADX is below 30, indicating a lack of a strong trend.
The RSI is between 40 and 60, suggesting a neutral market momentum.
Visual Representation:
Bar Colors: The indicator colors the price bars on the chart based on the identified trend:
Green Bars: Indicate an upward trend.
Red Bars: Indicate a downward trend.
Grey Bars: Indicate a sideways or consolidating market.
How to Use:
Trend Following: Use the colored bars as a guide for trend following. Green bars suggest a potential entry for a long position, while red bars may indicate opportunities for short positions.
Sideways Market Caution: Grey bars signal a sideways market. In such conditions, traders might exercise caution and avoid trend-following strategies, as the market lacks a clear direction.
Complementary Analysis: While the Market Trend Indicator (FinnoVent) provides valuable insights, it's recommended to use it in conjunction with other forms of analysis (like fundamental analysis, other technical indicators, or price action) for comprehensive decision-making.
Suitable for: This indicator is versatile and can be applied to various timeframes and trading instruments, including stocks, forex, commodities, and indices.
Important Notes:
The indicator is designed to minimize repainting but always consider the latest data for the most accurate analysis.
Like all indicators, it is not foolproof. It works best when combined with a solid trading plan and risk management strategies.
Volume Spike Analysis [Trendoscope]The Volume Spike Analysis is designed to detect volume spikes in a trading instrument's data. Rather than relying on the traditional method of comparing volume to its moving average, this indicator employs a distinctive approach to ensure accuracy.
Methodology
Historical Volume Comparison: The indicator first assesses the current bar's volume, say 100k, and looks back historically to determine the last instance when the volume was equal to or exceeded this level.
High Volume Bar Gap Calculation: The intervals or gaps between high volume bars are recorded. These gaps help in determining how common or rare a particular volume spike is.
Spike Magnitude Determination: Here, the extent of the volume spike is gauged in relation to either the median, lowest, or average volume of the intervening bars. The reference metric (median, lowest, or average) can be chosen by the user through the "Volume Spike Reference" input parameter.
Spike Percentile Analysis: The calculated spike magnitude (as a percentage of the reference volume) is cataloged. This collection aids in understanding the relative intensity of the current volume spike when compared to previous spikes.
Threshold Comparisons: The indicator then compares the calculated "High Volume Distance Percentile" to the "Last High Volume Distance Percentile" and the "Volume Spike Percentile" to the "Volume Spike Threshold". If these values surpass the preset thresholds, the current bar is flagged as a high volume or volume spike bar.
Visual Components
Bar Highlighting : High volume or volume spike bars are accentuated with bright colors for easy identification. All other bars have increased transparency to reduce visual clutter.
Distance from the High Volume Bar: Indication of the number of bars since the last high volume occurrence and its respective percentile.
Comparative Factors: A factor representing the magnitude by which the current volume surpasses the lowest, median, and average volumes.
Lowest, Median and Average Volumes: The lowest and median volumes are indicated by tooltips on lines marking the respective bars. The average volume is depicted as a dotted horizontal line, with a triangle marker tooltip revealing its value.
This indicator offers a nuanced analysis of volume spikes, aiding traders in making more informed decisions.
Supply Demand Profiles [LuxAlgo]The Supply Demand Profiles is a charting tool that measures the traded volume at all price levels on the market over a specified time period and highlights the relationship between the price of a given asset and the willingness of traders to either buy or sell it, in other words, highlights key concepts as significant supply & demand zones, the distribution of the traded volume, and market sentiment at specific price levels within a specified time period, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
In other words, this tool highlights key concepts as significant supply & demand zones, the distribution of the traded volume, and market sentiment at specific price levels within a specified time period, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
Besides having the tool as a combo tool, the uniqueness of this version of the tool compared to its early versions is its ability to benefit from different volume data sources and its ability to use a variety of different polarity methods, where polarity is a measure used to divide the total volume into either up volume (trades that moved the price up) or down volume (trades that moved the price down).
🔶 USAGE
Supply & demand zones are presented as horizontal zones across the selected range, hence adding the ability to visualize the price interaction with them
By default, the right side of the profile is the volume profile which highlights the distribution of the traded activity at different price levels, emphasizing the value area, the range of price levels in which the specified percentage of all volume was traded during the time period, and levels of significance, such as developing point of control line, value area high/low lines, and profile high/low labels
The left side of the profile is the sentiment profile which highlights the market sentiment at specific price levels
🔶 DETAILS
🔹 Volume data sources
The users have the option to select volume data sources as either 'volume' (regular volume) or 'volume delta', where volume represents all the recorded trades that occur at a given bar and volume delta is the difference between the buying and the selling volume, that is, the net demand at a given bar
🔹 Polarity methods
The users are able to choose the methods of how the tool to take into consideration the polarity of the bar (the direction of a bar, green (bullish) or red (bearish) bar) among a variety of different options, such as 'bar polarity', 'bar buying/selling pressure', 'intrabar (chart bars at a lower timeframe than the chart's) polarity', 'intrabar buying/selling pressure', and 'heikin ashi bar polarity'.
Finally, the interactive mode of the tool is activated, as such users can easily modify the intervals of their interest just by selecting the indicator and moving the points on the chart
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles and zones
🔹 Calculation Settings
Volume Data Source and Polarity: This option is to set the desired volume data source and polarity method
Lower Timeframe Precision: This option is applicable in case any of the 'Intrabar (LTF)' options are selected, please check the tooltip for further details
Value Area Volume %: Specifies the percentage for the value area calculation
🔹 Presentation Settings
Supply & Demand Zones: Toggles the visibility of the supply & demand zones
Volume Profile: Toggles the visibility of the volume profile
Sentiment Profile: Toggles the visibility of the sentiment profile
🔹 Presentation, Others
Value Area High (VAH): Toggles the visibility of the VAH line and color customization option
Point of Control (POC): Toggles the visibility of the developing POC line and color customization option
Value Area Low (VAL): Toggles the visibility of the VAL line and color customization option
🔹 Supply & Demand, Others
Supply & Demand Threshold %: This option is used to set the threshold value to determine supply & demand zones
Supply/Demand Zones: Color customization option
🔹 Volume Profile, Others
Profile, Up/Down Volume: Color customization option
Value Area, Up/Down Volume: Color customization option
🔹 Sentiment Profile, Others
Sentiment, Bullish/Bearish: Color customization option
Value Area, Bullish/Bearish: Color customization option
🔹 Others
Number of Rows: Specify how many rows the profile will have
Placment: Specify where to display the profile
Profile Width %: Alters the width of the rows in the profile, relative to the profile range
Profile Price Levels: Toggles the visibility of the profile price levels
Profile Background, Color: Fills the background of the profile range
Value Area Background, Color: Fills the background of the value area range
Start Calculation/End Calculation: The tool is interactive, where the user may modify the range by selecting the indicator and moving the points on the chart or can set the start/end time using these options
🔶 RELATED SCRIPTS
Volume-Profile
Volume-Profile-Maps
Volume-Delta
Are stop orders making money? [yohtza]Who is this indicator for and what does it do?
This is an indicator that helps price action traders in determining the strength of the trend and potential counter trend traps that present themselves during the move. It highlights the background of the bar at which counter trend traders that trade with stop orders (breakout entries) were able to achieve the same amount of reward as was their risk for that trade.
What is it based on?
When there is a strong trend in effect, the counter trend traders are unable to buy above(in bear trend) or sell below (in bull trend) a bar with a stop order and get an equal reward for the risk they are taking.
The first time counter trend traders are able to buy and make money in bear or sell and make money in bull it is a warning sign that market is likely transitioning into trading range phase of the market cycle.
Another application of the indicator is for discovering potential traps. If market comes very close to the take profit level of counter trend traders and reverses, they will usually try to get out with as much profit or as small of a loss as possible and that will often create a fast move (also called giving up) and a good with trend entry.
How does it work?
The indicator is using exponential moving average as a filter for when the market is trending and then scans for signals where counter trend traders enter. Next it looks if the stoploss or profit target was hit for that trade. If the profit target was hit it draws a box around the bar on which the traders entered, the box height is based on stoploss and profit target price levels.
Indicator inputs
- Scan for doji signal bars
When this option is selected, bars that have small bodies (less than 50% of their height) are also included as bars on which counter traders enter. If the option is not selected it only looks for bull trend bars (bodies are greater than 50% of their height) below the moving average and bear trend bars above the moving average.
- Border and background colors and border style
It is possible to select different colors and chose between solid, dashed and dotted borders
- Ema period
Default setting is 20 bar exponential moving average but feel free to use which you prefer
- Tick value
This is the value of the minimal movement of the chart you are trading on. For example for S&P 500 E-mini futures the value is 0.25 and that is the default setting.
Volume Delta Compare [Ticks ~ LTF data]
The "Volume Delta Compare " publication shows 2 different techniques to show into-depth details of Volume, using Tick and Lower-Time-Frame (LTF) data.
🔶 USAGE
Check for divergences between price and volume movement
Check details (why and when a ΔV developed)
Or if you want to see a lot of data stacked on each other )
🔶 CONCEPTS
🔹 Tick vs. LTF data
a Tick is an measure of (upward or downward) movement in price OR volume.
We can use this data by using varip in the code.
Advantage:
• Detail, detail, detail
• Accurate, per tick
Disadvantage:
• Only realtime
• Can reset 'easily' -> loss of data
• Will reset when settings are changed
LTF data, through the request.security_lower_tf() function, measures the OHLCV data per LTF bar
Advantage:
• Access to history when loading a chart
• No 'loss' of data when chart resets
Disadvantage:
• Less detailed
• Less accurate
This script makes it possible to compare the 2 techniques and enables you to show different values.
🔹 Values
There are mainly 3 important values:
• UP volume (uV): volume when price rises
• DOWN volume (dV): volume when price falls
• NEUTRAL volume (nV): volume when price stays the same
From this, additional data is calculated:
• Volume Delta (ΔV): uV minus dV
• Cumulative Delta Volume (cΔV): sum of ΔV
One typical nV is at open: at that moment there isn't a base price to compare with,
so when the first trade doesn't fully fill the first supply (up or down), volume will rise, but price just is 'open', no movement -> no uV or dV.
• Tick data: every volume changement per tick will be added to the concerning variable (uV, dV or nV)
• LTF data: every volume changement of each bar will be added to the concerning variable (uV, dV or nV)
-> this can easily give a difference, for example (Tick vs. 1 minute LTF), when most of the ticks caused a rise of price, but at the last few seconds, a few ticks causes the close to come below open, with Tick data this could give more UP Volume, while LTF data will show 1 value of DOWN Volume.
🔶 EXAMPLES
🔹 Details
In these examples you can see:
• grey line: Total volume (higher precision)
• UP/DOWN/NEUTRAL Volume
• green columns: uV
• orange columns: dV
• blue pillars: nV
• coloured stepline: reflects ΔV
• close > open and positive ΔV -> green
• close > open but negative ΔV -> fuchsia
• close < open and negative ΔV -> orange
• close < open but positive ΔV -> bright lime green
• Right side -> indication of used data (Tick/LTF data) + last ΔV
• labels (can be disabled)
Above 0 (only with Tick data): data from EVERY tick (ΔV ):
• first the amount of Volume (0 when the amount is very minimal)
• between brackets: price movement
Below 0:
• Σ V: sum of uV, dV and nV, for that bar
• Σ up: sum of uV for that bar
• Σ dn: sum of dV for that bar
• Σ nt: sum of nV for that bar
• Σ P: sum of price movement, for that bar (only at Tick data)
(At the right you'll see a new bar just started)
Here is a detail of the first second at opening:
🔹 Cumulative Volume Delta (CVD)
Difference CVD based on Tick vs. LTF data :
(horizontal lines added for reference)
🔶 FEATURES
🔹 Minimal plotting of na values
Data window and status line only show what is applicable (tick or LTF data) to diminish clutter of data values:
The Tick option has a label above 0 which includes details of every Tick.
If data is added every tick, that label on a 10 minute chart will be filled beyond limitations pretty quickly (string max_length = 4096 limit).
To prevent the script stopping to execute, at a certain limit, this label will stop updating and show the message "Too much data".
The label below the 0-line won't reach that limit, so it will keep on updating.
Timeframes closer to 1 second will have less risk to reach that 4096 limit. Details will remain to show in this case.
🔹 Automatic label colour adaption when changing between dark/light mode values
Label background/text-colour will adapt according to the dark/light-mode by using chart.fg_color / chart.bg_color
🔶 SETTINGS
🔹 Data from: Ticks vs. LTF data
🔹 LTF: Lower Time-Frame for when LTF option is chosen: 1, 5, 10, 15, 30 Seconds or 1 minute
🔹 Also start when bar already has data: only for tick data -> when disabled calculations only start on a new bar.
🔹 CVD, Only show Cumulative Delta Volume: enable to just display CVD
🔹 Colours: colour at the right is for price/volume direction divergences
🔹 Label: choose what you want to display + size labels
🔹 0-line: The label under the 0-line sometimes goes below the chart. this can be adjusted with this setting.
Devs Cumulative Delta candles with Moving Average and DivergenceDELTA = BUY Volume – SELL Volumes
Delta = Positive => Aggressiveness on the Buy side
Delta = Negative => Aggressiveness on the Sell side
If delta is greater than 0 you have more buying than selling pressure. If delta is less than 0, you have more selling than buying pressure.
When there is more Buying than Selling (Delta=Positive), the price candle is Green and when there is more Selling than Buying (Delta=Negative), the price candle is Red. We use delta to understand the relationship between buying or selling pressure and price.
Let’s imagine a price bar that reached the low for the day but delta was actually positive and the bar closed higher than it opened.
In simple terms we can describe this as:
Price made a new low
The bar closed higher
Delta demonstrated more buying than selling : Volume delta is a key metric to understand when making trading decisions based on volume and order flow. However, on its own it can be too much information to interpret quickly when trading in a volatile market.
What are Delta Bars?
Delta Bars is a candlestick representation of Delta. In other words, it has an Open, High (also called Delta Max), Low (also called Delta Min) and Close point in every candle (1min, 5min, 30min etc.)
The Delta Open in every candle is always 0
The Delta Close is the cumulative BUY less cumulative SELL at the close if the candle
The Delta Max is the maximum value of Delta during the candle session (lowest Delta Max possible = 0)
The Delta Min is the minimum value of Delta during the candle session (highest Delta Min possible = 0) The Delta bars are uncorrelated to the Tick Multiplier of the symbol.
Generally you would expect Price to move UP when Delta is positive and Price to move DOWN when Delta is negative. So what happens when the above rule is not followed. We have Divergence
Divergence:
Any two parameters that should be in sync (Price and Delta in this case) towards supporting a particular move (Up or Down) but are in reality not (in sync) form a Divergence
Cumulative volume delta takes the delta values for every bar and successively adds them together to visually provide as seen in the chart.
While volume delta is great for comparing delta bar to bar, cumulative volume delta is useful when determining buying or selling pressure at different price levels such as swing highs or lows. I just gave you a details regarding delta and delta bars.
What details would you see in the indicator??
When you apply this indicator on the chart, you will find the CD(Cumulative delta) candles, which move up and down the way price moves in a chart. Moreover, in case of a divergence, you will find a change in colour of delta candles. If the price is still green but the delta is negative, you will find a bullish divergence, marked with Yellow colour and if the price is red and you have a positive delta, you will have a bearish divergence, marked with blue coloured delta candle. Usually it has been seen that a repeated divergence generally depicts end of a trend or slow down of a trend.
Moreover, I have placed 2 moving averages in the script which you can customize as per your needs. I prefer 20 and 50 day MA for better accuracy as most reversals happen at 20 and 50 day MA.
This indicator works in almost all index, stocks, currencies excepting few where the volume past is invisible. This indicator purely works taking the buying and selling volume into consideration. Sometimes when you change the timeframe in chart, you may have to manually adjust for the display in chart.
MOST + Moving Average ScreenerScreener version of Anıl Özekşi's Moving Stop Loss (MOST) Indicator:
USERS MAY SCREEN MOST WITH 11 DIFFERENT TYPES OF MOVING AVERAGES + THEY CAN ALSO SCREEN SIGNALS WITH THAT 11 MOVING AVERAGES INSTEAD OF USING MOST LINE.
Adjustable Moving Average Types:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
About Screener Panel:
Users can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
-In this screener version of MOST, users can define the number of demanded tickers (symbols) from 1 to 20 by checking the relevant boxes on the settings tab.
-All selected tickers can be screened in different timeframes.
-Also, different timeframes of the same Ticker can be screened.
IMPORTANT NOTICE:
Screener shows the results in 3 different logic:
1st LOGIC (Default Settings):
BUY AND SELL SIGNALS of MOST and MOVING AVERAGE LINE
Most Buy Signal: Moving Average Crosses ABOVE the MOST LINE
Most Sel Signal: Moving Average Crosses BELOW the MOST LINE
Tickers seen in green are the ones that are in an uptrend, according to MOST.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after MOST's last BUY or SELL signal.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
2nd LOGIC (Moving Average & Price Flips Screener Mode):
This mode can only be activated by checking the 'Activate Moving Average Screening Mode' box on the settings menu.
MOST line will be disappeared after checking the box.
Buy Signal: When the Selected Price crosses ABOVE the selected Moving Average.
Sell Signal: When the Selected Price crosses BELOW the selected Moving Average.
Tickers seen in green are the ones that are in an uptrend, according to Moving Average & Price Flips.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after the last BUY or SELL signal of Moving Average & Price Flips.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
3rd LOGIC (Moving Average Color Change Screener Mode):
Both 'Activate Moving Average Screening Mode' and 'Activate Moving Average Color Change Screening Mode' boxes must be checked in the settings tab.
Moving Average Line will turn out into two colors.
Green color means the moving average value is greater than the previous bar's value.
Red color means the moving average value is smaller than the previous bar's value.
Buy Signal: After the Selected Moving Average turns GREEN from red.
Sell Signal: After the Selected Moving Average turns RED from green.
-Screener shows the information about the color changes of the selected Moving Average with default settings.
If this option is preferred, users are advised to enlarge the length to have better signals.
Tickers seen in green are the ones that are in an uptrend, according to Moving Average Color.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after the last BUY or SELL signal of Moving Average Color Change.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
RelativeValue█ OVERVIEW
This library is a Pine Script™ programmer's tool offering the ability to compute relative values, which represent comparisons of current data points, such as volume, price, or custom indicators, with their analogous historical data points from corresponding time offsets. This approach can provide insightful perspectives into the intricate dynamics of relative market behavior over time.
█ CONCEPTS
Relative values
In this library, a relative value is a metric that compares a current data point in a time interval to an average of data points with corresponding time offsets across historical periods. Its purpose is to assess the significance of a value by considering the historical context within past time intervals.
For instance, suppose we wanted to calculate relative volume on an hourly chart over five daily periods, and the last chart bar is two hours into the current trading day. In this case, we would compare the current volume to the average of volume in the second hour of trading across five days. We obtain the relative volume value by dividing the current volume by this average.
This form of analysis rests on the hypothesis that substantial discrepancies or aberrations in present market activity relative to historical time intervals might help indicate upcoming changes in market trends.
Cumulative and non-cumulative values
In the context of this library, a cumulative value refers to the cumulative sum of a series since the last occurrence of a specific condition (referred to as `anchor` in the function definitions). Given that relative values depend on time, we use time-based conditions such as the onset of a new hour, day, etc. On the other hand, a non-cumulative value is simply the series value at a specific time without accumulation.
Calculating relative values
Four main functions coordinate together to compute the relative values: `maintainArray()`, `calcAverageByTime()`, `calcCumulativeSeries()`, and `averageAtTime()`. These functions are underpinned by a `collectedData` user-defined type (UDT), which stores data collected since the last reset of the timeframe along with their corresponding timestamps. The relative values are calculated using the following procedure:
1. The `averageAtTime()` function invokes the process leveraging all four of the methods and acts as the main driver of the calculations. For each bar, this function adds the current bar's source and corresponding time value to a `collectedData` object.
2. Within the `averageAtTime()` function, the `maintainArray()` function is called at the start of each anchor period. It adds a new `collectedData` object to the array and ensures the array size does not exceed the predefined `maxSize` by removing the oldest element when necessary. This method plays an essential role in limiting memory usage and ensuring only relevant data over the desired number of periods is in the calculation window.
3. Next, the `calcAverageByTime()` function calculates the average value of elements within the `data` field for each `collectedData` object that corresponds to the same time offset from each anchor condition. This method accounts for cases where the current index of a `collectedData` object exceeds the last index of any past objects by using the last available values instead.
4. For cumulative calculations, the `averageAtTime()` function utilizes the `isCumulative` boolean parameter. If true, the `calcCumulativeSeries()` function will track the running total of the source data from the last bar where the anchor condition was met, providing a cumulative sum of the source values from one anchor point to the next.
To summarize, the `averageAtTime()` function continually stores values with their corresponding times in a `collectedData` object for each bar in the anchor period. When the anchor resets, this object is added to a larger array. The array's size is limited by the specified number of periods to be averaged. To correlate data across these periods, time indexing is employed, enabling the function to compare corresponding points across multiple periods.
█ USING THIS LIBRARY
The library simplifies the complex process of calculating relative values through its intuitive functions. Follow the steps below to use this library in your scripts.
Step 1: Import the library and declare inputs
Import the library and declare variables based on the user's input. These can include the timeframe for each period, the number of time intervals to include in the average, and whether the calculation uses cumulative values. For example:
//@version=5
import TradingView/RelativeValue/1 as TVrv
indicator("Relative Range Demo")
string resetTimeInput = input.timeframe("D")
int lengthInput = input.int(5, "No. of periods")
Step 2: Define the anchor condition
With these inputs declared, create a condition to define the start of a new period (anchor). For this, we use the change in the time value from the input timeframe:
bool anchor = timeframe.change(resetTimeInput)
Step 3: Calculate the average
At this point, one can calculate the average of a value's history at the time offset from the anchor over a number of periods using the `averageAtTime()` function. In this example, we use True Range (TR) as the `source` and set `isCumulative` to false:
float pastRange = TVrv.averageAtTime(ta.tr, lengthInput, anchor, false)
Step 4: Display the data
You can visualize the results by plotting the returned series. These lines display the non-cumulative TR alongside the average value over `lengthInput` periods for relative comparison:
plot(pastRange, "Past True Range Avg", color.new(chart.bg_color, 70), 1, plot.style_columns)
plot(ta.tr, "True Range", close >= open ? color.new(color.teal, 50) : color.new(color.red, 50), 1, plot.style_columns)
This example will display two overlapping series of columns. The green and red columns depict the current TR on each bar, and the light gray columns show the average over a defined number of periods, e.g., the default inputs on an hourly chart will show the average value at the hour over the past five days. This comparative analysis aids in determining whether the range of a bar aligns with its typical historical values or if it's an outlier.
█ NOTES
• The foundational concept of this library was derived from our initial Relative Volume at Time script. This library's logic significantly boosts its performance. Keep an eye out for a forthcoming updated version of the indicator. The demonstration code included in the library emulates a streamlined version of the indicator utilizing the library functions.
• Key efficiencies in the data management are realized through array.binary_search_leftmost() , which offers a performance improvement in comparison to its loop-dependent counterpart.
• This library's architecture utilizes user-defined types (UDTs) to create custom objects which are the equivalent of variables containing multiple parts, each able to hold independent values of different types . The recently added feature was announced in this blog post.
• To enhance readability, the code substitutes array functions with equivalent methods .
Look first. Then leap.
█ FUNCTIONS
This library contains the following functions:
calcCumulativeSeries(source, anchor)
Calculates the cumulative sum of `source` since the last bar where `anchor` was `true`.
Parameters:
source (series float) : Source used for the calculation.
anchor (series bool) : The condition that triggers the reset of the calculation. The calculation is reset when `anchor` evaluates to `true`, and continues using the values accumulated since the previous reset when `anchor` is `false`.
Returns: (float) The cumulative sum of `source`.
averageAtTime(source, length, anchor, isCumulative)
Calculates the average of all `source` values that share the same time difference from the `anchor` as the current bar for the most recent `length` bars.
Parameters:
source (series float) : Source used for the calculation.
length (simple int) : The number of reset periods to consider for the average calculation of historical data.
anchor (series bool) : The condition that triggers the reset of the average calculation. The calculation is reset when `anchor` evaluates to `true`, and continues using the values accumulated since the previous reset when `anchor` is `false`.
isCumulative (simple bool) : If `true`, `source` values are accumulated until the next time `anchor` is `true`. Optional. The default is `true`.
Returns: (float) The average of the source series at the specified time difference.
MACD Chebyshev (CMACD)Introducing the Advanced MACD Chebyshev Indicator
Enhanced Convergence Divergence with Gate Compressor for Improved Trading Signals
Introduction
We are excited to introduce a new, advanced Moving Average Convergence Divergence (MACD) indicator that we've developed, called the MACD Chebyshev (CMACD). This innovative indicator uses the dominant period to determine the frequency of the band pass and employs a delayed version of the signal for better convergence divergence. To further enhance the quality of the signals, we've incorporated a gate compressor in the histogram. In this blog post, we will provide an extensive overview of the CMACD indicator, detailing its features and explaining how it works.
The MACD Chebyshev Indicator
The CMACD indicator is based on the well-known MACD indicator, which is a popular technical analysis tool for identifying potential trend reversals in financial markets. The MACD indicator calculates the difference between two Exponential Moving Averages (EMAs) and plots a histogram to represent the convergence and divergence between these EMAs. The CMACD indicator builds on this concept by using the Chebyshev Type I and Type II Moving Averages, which offer superior smoothing and reduced lag compared to traditional EMAs.
The main components of the CMACD indicator are:
1. Signal Line (Blue Line)
2. Delay Line (Orange Line)
3. Histogram (Green and Red bars)
4. Zero Line (Gray Line)
The indicator calculates the difference between the two Chebyshev Moving Averages and plots the histogram based on this difference. The histogram bars change color depending on whether they are above or below the zero line and whether they are growing or falling.
Custom Functions and Features
The CMACD indicator includes several custom functions and features that set it apart from the standard MACD indicator:
1. Dominant Period: The CMACD indicator uses the dominant period to determine the frequency of the band pass. This ensures that the indicator is more responsive to the current market conditions, as it adapts to the dominant cycle in the price data.
2. Delayed Signal: The CMACD indicator employs a delayed version of the signal to provide better convergence divergence. This helps to reduce false signals and improve the accuracy of the indicator.
3. Ripple: The Ripple parameter allows users to adjust the smoothing factor of the Chebyshev Moving Averages. This can be customized to suit individual trading preferences and strategies.
4. Gate Compressor: The CMACD indicator incorporates a gate compressor in the histogram. This unique feature allows users to specify a Percent Rank for the gate signal level, a Gate Ratio, and a Knee Type (either "hard" or "soft"). The gate compressor works by reducing the amplitude of the histogram bars when their absolute value is below the specified threshold. This helps to filter out noise and improve the clarity of the signals generated by the indicator.
Color Scheme
The CMACD indicator features an intuitive color scheme for easy interpretation of the histogram:
1. Green Bars (Above Zero Line): The histogram bars are green when they are above the zero line. The darker green color indicates a growing bar, while the lighter green color represents a falling bar.
2. Red Bars (Below Zero Line): The histogram bars are red when they are below the zero line. The darker red color indicates a growing bar, while the lighter red color represents a falling bar.
Conclusion
The MACD Chebyshev (CMACD) indicator is an innovative and powerful tool for technical analysis, offering superior performance compared to the standard MACD indicator. With its advanced features, such as the dominant period, delayed signal, ripple adjustment, and gate compressor, the CMACD indicator provides more accurate and reliable trading signals. Incorporate the CMACD indicator into your trading strategy today and experience the enhanced convergence divergence for better trading decisions.
