New day started with DSTNew Day Started with DST Indicator
Description:
The "New Day Started with DST" indicator is designed for intraday charts and highlights the first bar of each new trading day, accounting for Germany's timezone and daylight saving time (DST) adjustments. This is particularly useful for traders who follow the German market or need precise day start indications based on Central European Time (CET) and Central European Summer Time (CEST).
Features:
- Timezone Adjustment: Automatically adjusts the time to CET (UTC+1) during standard time and CEST (UTC+2) during daylight saving time.
- Daylight Saving Time (DST) Handling: Correctly identifies the start and end of DST based on the last Sunday in March and October.
- New Day Highlight: Highlights the first bar of each new day, allowing traders to easily identify the start of a new trading day.
How It Works:
- Timezone Calculation: The script calculates the current time in Germany by adding the appropriate timezone offset to the UTC time.
- DST Rules: The script manually checks the conditions to determine if the current date falls within the DST period.
- New Day Detection: By checking the hour and minute of the corrected German time, the script determines if a new day has started and highlights the first bar accordingly.
Benefits:
- Enhanced Accuracy: Ensures that the start of a new day is accurately reflected according to German trading hours, considering both CET and CEST.
- Visual Aid: Provides a clear visual indication of the start of a new trading day, improving chart readability and trading precision.
- Customizable: Can be easily modified to adjust for other timezones and DST rules if needed.
Usage:
Apply this indicator to your intraday charts to automatically highlight the first bar of each new trading day, taking into account the timezone and DST adjustments for Germany. This tool is essential for traders operating in or tracking the German market, offering a reliable and precise method to monitor daily trading activity.
Example:
! (URL-to-your-screenshot)
This indicator ensures that you never miss the start of a new trading day, helping you to make timely and informed trading decisions.
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How the Script Works:
1. Timezone Offset Calculation:
- The script begins by setting the base offset to 1 hour (CET is UTC+1).
- It initializes the DST offset to 0.
2. Determining the Current Month and Day:
- It retrieves the current month and day of the month from the `time` variable.
3. Checking DST Conditions:
- For months between April and September (inclusive), the DST offset is set to 1 hour (CEST is UTC+2).
- For March, it checks if the current date is after the last Sunday of March and if the time is past 2:00 AM to determine if DST should start.
- For October, it checks if the current date is before the last Sunday of October and if the time is before 2:00 AM to determine if DST should end.
4. Adjusting the Time for Germany:
- The script calculates the corrected German time by adding the base offset and DST offset to the UTC time.
5. Detecting the Start of a New Day:
- It checks if the hour and minute of the corrected German time are both zero (00:00), indicating the start of a new day.
6. Highlighting the First Bar:
- If the script detects a new day, it highlights the first bar of the new day with a green background color.
This approach ensures that the script accurately reflects the start of a new trading day according to German trading hours, including adjustments for daylight saving time.
Komut dosyalarını "Cycle" için ara
Daye's Quarterly TheoryDaye's Quarterly Theory Indicator
Description
The Daye's Quarterly Theory Indicator divides trading time into smaller units to help traders identify potential accumulation, manipulation, distribution, and reversal/continuation phases within a day. It applies these time divisions to your charts, offering visual guidance aligned with ICT's PO3 concept:
Accumulation (A): The phase where positions are accumulated.
Manipulation (M): The phase where the market moves against the prevailing trend to trap traders.
Distribution (D): The phase where accumulated positions are distributed.
Reversal/Continuation (X): The phase indicating either a reversal or continuation of the trend.
This indicator breaks down time into quarters at different levels:
Daily Quarters:
Q1: 18:00 - 00:00 (Asia)
Q2: 00:00 - 06:00 (London)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90-Minute Quarters:
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
Micro Quarters (22.5 minutes) (Displayed on 7-minute TF or lower):
Q1: 18:00 - 18:22:30
Q2: 18:22:30 - 18:45
Q3: 18:45 - 19:07:30
Q4: 19:07:30 - 19:30
Features
Time Box Visualization: Highlights different quarters of the trading day to help visualize market phases.
Customizable Colors: Allows users to set different colors for daily, 90-minute, and micro quarters.
Flexible Settings: Designed to work out-of-the-box on both light and dark background charts.
ICT PO3 Alignment: Helps traders align their strategies with ICT's Accumulation, Manipulation, Distribution, and Reversal/Continuation phases.
Usage
Apply this indicator to your NQ1! or ES1! charts and observe the confluence with ICT's macro times. Use it to predict potential market phases and optimize your trading strategy by buying after manipulation down or selling after manipulation up.
Note: The indicator's display may vary based on the timeframe viewed and broker feeds. Back-test and research for best results on your preferred assets.
Master Accumulation Weekly Buy SignalsMaster Accumulation Weekly Buy Signals
The Master Accumulation Weekly Buy Signals indicator is designed to help traders identify potential buy opportunities based on the accumulation and distribution of volume, with a primary focus on weekly timeframes. This indicator combines the On Balance Volume (OBV) and the Accumulation/Distribution (AD) indicators to generate buy signals when both metrics show a decline.
Key Features:
Percentage Change Calculation: Calculates the percentage change in OBV and AD over a specified length tailored to weekly timeframes.
Timeframe Adaptability: While optimized for weekly timeframes, the indicator can also adjust to daily and monthly charts.
Volume Validation: Ensures that volume data is available and valid for accurate calculations.
Buy Signals: Generates buy signals when both OBV and AD percentage changes are negative, indicating potential accumulation by informed traders.
Visual Alerts: Plots buy signal triangles below the price bars on the main chart for easy identification.
How It Works:
On Balance Volume (OBV): Tracks the cumulative volume, considering the direction of price changes, and calculates the percentage change over the specified period, primarily for weekly analysis.
Accumulation/Distribution (AD): Measures the flow of volume into or out of a security, considering the relationship between the closing price and the high-low range, and calculates the percentage change over the specified period, primarily for weekly analysis.
Buy Signal Generation: A buy signal is generated when both OBV and AD show a negative percentage change, suggesting a potential buying opportunity.
How to Use:
Apply the indicator to your chart and select the weekly timeframe for optimal performance.
Look for buy signal triangles that appear below the price bars on the main chart.
Use the buy signals as part of your broader trading strategy, confirming them with other technical analysis tools and indicators.
Important Note:
This indicator is a tool to assist in identifying potential buy signals based on volume accumulation patterns. It is primarily designed for weekly timeframes and should not be used as a standalone trading strategy. Always perform comprehensive analysis and consider risk management practices before making any trading decisions.
This description highlights the indicator's primary focus on weekly timeframes while providing comprehensive information about its features and usage.
THIS IS TEST ONLY*******
Sessions [UkutaLabs]█ OVERVIEW
Sessions is a trading toolkit that displays the different trading sessions on your chart during a trading day. By default, Sessions displays the four standard trading sessions; New York, Tokyo, London, and Sydney.
Each of the four sessions can be toggled, and the Sessions indicator is completely customizable, allowing users to define their own sessions to be generated by the script.
The aim of this script is to improve the trading experience of users by automatically displaying information about each default or custom session to the user.
█ USAGE
This script will automatically detect and label different market sessions. By default, the script will identify the four standard trading sessions, but each of these can be toggled off in the settings.
However, users are not limited to these four trading sessions and have the ability to define their own sessions to be identified by the script. When a session begins, the script will automatically start outlining the market data of that session, including the high and low of the period that is represented by the session.
If the market is within two or more sessions at the same time, then each session will be treated individually and will overlap with each other.
The sessions will be identified as a colored box surrounding the market data of the period that it represents, and a label will be displayed above the box to identify the session that it represents. The label, color and period of each session is completely customizable.
The user can also adjust all sessions at once to account for timezones in the settings.
█ SETTINGS
Session 1
• Session 1: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Session 2
• Session 2: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Session 3
• Session 3: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Session 4
• Session 4: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Time Zones
• UTC +/-: Determines the offset of each session. Enter - before the number to represent a negative offset.
Event on charts**Event on Charts Indicator**
This indicator visually marks significant events on your chart. It is highly customizable, allowing you to activate or deactivate different groups of events and choose whether to display the event text directly on the chart or only when hovered over. Each group of events can be configured with distinct settings such as height mode, color, and label style.
### Key Features:
- **Group Activation:** Enable or disable different groups of events based on your analysis needs.
- **Text Display Options:** Choose to display event texts directly on the chart or only on hover.
- **Customizable Appearance:** Adjust the height mode, offset multiplier, bubble color, text color, and label shape for each group.
- **Predefined Events:** Includes predefined events for major crashes, FED rate changes, SPX tops and bottoms, geopolitical conflicts, economic events, disasters, and significant Bitcoin events.
### Groups Included:
1. **Crash Events:** Marks major market crashes.
2. **FED Rate Events:** Indicates changes in the Federal Reserve rates.
3. **SPX Top Events:** Highlights market tops for the S&P 500.
4. **Geopolitical Conflicts:** Marks significant geopolitical events.
5. **Economic Events:** Highlights important economic events such as bankruptcies and crises.
6. **Disaster and Cyber Events:** Indicates major disasters and cyber attacks.
7. **Bitcoin Events:** Marks significant events in the Bitcoin market.
8. **SPX Bottom Events:** Highlights market bottoms for the S&P 500.
### Usage:
This indicator is useful for traders and analysts who want to keep track of historical events that could impact market behavior. By visualizing these events on the chart, you can better understand market reactions and make informed decisions.
Session Statistical Mapping° [Pro+] (Joshuuu)Introduction:
Dive into the dynamic world of statistical market analysis with Session Statistical Mapping Pro+, an advanced tool designed for intraday traders of all asset classes.
Description:
This indicator offers a detailed algorithmic statistical measurement of Time and price, integrating the principles of Inner Circle Trader (ICT) to analyze the market behaviours such as Manipulation, and Distribution. This tool supercharges your trading strategies with data-driven insights.
ICT traders classify manipulation as a movement to trap market participants in the "wrong" direction. This allows analysts to anticipate the intended real direction of the distribution phase.
On the other hand, when price distributes, it's looking to expand for higher – or lower – prices. Analysts can therefore note distribution levels for a draw on liquidity, retracement, or reversal.
These levels and the Time at which they are reached during the selected session, will provide important information about orderflow when price trades through them and the sequence in which the delivery occurs.
Additionally, to amplify the price mapping, this tool plots the average Time at which its manipulation and distribution phases should complete. This feature allows traders to utilize historical Timings in conjunction with the price levels of manipulation and distribution.
As with any historical data driven tool, analysts should not expect past behaviour to match future performance. This tool was created with a data driven edge to bring attention to when sessions are likely to turn after their manipulations, or retrace after completing set distributions.
Key Features:
Algorithmic Measurement of Price: Leverage algorithmic theory to measure price movements with precision. This tool calculates average session manipulation and distribution price levels, providing traders with actionable insights based on historical data – key manipulation and distribution levels.
Algorithmic Measurement of Time: Utilize algorithmic theory to measure time-based movements within specific sessions. This tool calculates the projected average Time at which the manipulation and distribution phases are completed during a given session. This feature enhances traders' ability to interpret market movements and align their strategies with Time data.
Four Sessions Times: Customize up to four Time ranges to focus on specific trading sessions, such as the European, US, or Asian market sessions. This allows traders to align their analysis with the operational hours of major market participants, capturing the most relevant price movements. Traders can also create unique sessions based on their trading Time to study market behaviour when they usually operate in the markets – unlocking a level of understanding towards their personal backtested model and strategies.
Flexible Calculation: The sample size of the sessions can be set to a specific number – the default is 1000. This allows traders to adjust the depth of historical data used in their analysis, balancing detail and performance.
Further Customization:
Custom Appearance: Adjust the style of session lines with options like dotted, solid, and various colors. This helps traders visually distinguish between different types of market activities (e.g., Open, Manipulation, Distribution) on their charts.
Lookback Periods: Option to show available lookback periods for a deeper historical analysis, providing context and historical benchmarks for current market conditions.
Extended Visualization: Pre-extend lines until session close for better visualization of market phases. This helps traders see the continuation of trends and market behaviours beyond the immediate session.
Clean Chart Layout: Options to delete old labels and abbreviate labels maintain a clean and organized chart, enhancing readability and focus.
Conclusion
By incorporating algorithmic theory Time and price measurements, historical data insights, and the principles of Inner Circle Trader (ICT), this indicator offers a comprehensive approach to understanding market behaviour. Whether you're analyzing price patterns, timing market movements, or combining both, Session Statistical Mapping Pro+ equips you with the potential roadmap of an asset, allowing you to navigate the complexities of the market’s volatility.
Usage Guidance:
Add Session Statistical Mapping Pro to your Tradingview chart.
Choose up to 4 sessions for the mapping to plot on your chart, be sure to adjust your style and visual preferences to differentiate the sessions’ levels.
Observe how calculated manipulation, distributions, and delivery times align together with predetermined analysis.
Leverage this information with other models and insights to create a stronger narrative for your analysis.
These tools are available ONLY on the TradingView platform.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Olegorov: Volume + EMAThis script creates an indicator that displays the volume of each interval along with two Exponential Moving Averages (EMAs). Here's how the code works:
Interval Length and EMA Lengths: Users can specify the length of each interval in candles and the lengths of two EMAs (EMA 1 and EMA 2) using input parameters.
Calculating EMAs: The script calculates two EMAs (ema1 and ema2) based on the closing prices of the candles. The lengths of these EMAs are determined by the user inputs.
Calculating Interval Volume: The calcIntervalVolume() function calculates the total volume for the current interval by summing up the volume of the past intervalLength candles.
Plotting Volume: The script plots the total volume of the current interval on the chart using plot(). The volume is displayed as an area plot with the specified color and transparency.
Comparing Current and Previous Intervals: The script compares the total volume of the current interval with that of the previous interval. If the current interval's volume is less than the previous interval's volume, it sets a boolean variable isCurrentLessThanPrevious to true; otherwise, it sets it to false.
Comparing EMAs: It compares the values of ema1 and ema2. If ema1 is greater than ema2, it sets the boolean variable isEMA1GreaterThanEMA2 to true; otherwise, it sets it to false.
Coloring the Background: Based on the comparison results, the script colors the background of the chart. If the current interval's volume is less than the previous interval's volume and ema1 is greater than ema2, it colors the background green. If the current interval's volume is less than the previous interval's volume and ema1 is less than ema2, it colors the background red. Otherwise, it colors the background gray.
This indicator can be useful for identifying periods of high and low volume relative to the previous interval, along with the relationship between two EMAs. It can be used in various trading strategies, such as trend following or momentum trading, where volume and moving averages play important roles in decision-making. For example, traders might look for bullish signals when the current interval's volume is higher than the previous interval's volume and ema1 is above ema2, indicating potential upward momentum. Conversely, bearish signals might be considered when the current interval's volume is lower than the previous interval's volume and ema1 is below ema2, suggesting potential downward momentum.
Volume Profile / Order Blocks + Demandas e Ofertas FortesThis indicator combines two powerful technical analysis tools into one: the Volume Profile Bar-Magnified Order Blocks and Strong Demands and Offers.
The Volume Profile Bar-Magnified Order Blocks identifies and highlights significant areas of volume and price on the chart, helping traders identify zones of high liquidity and potential trend reversal areas. With advanced customization features such as choice of mitigation method and grid adjustments, traders can tailor the indicator to their individual preferences.
Alongside the Volume Profile, Strong Demands and Offers add an additional layer of analysis, highlighting points of interest where buying or selling pressure is strongest. This helps traders identify key areas where the balance of power may shift, providing potential entry or exit signals.
Key Features:
Automatic identification of significant volume areas.
Highlighting of zones of high liquidity and potential trend reversal areas.
Advanced customization, including choice of mitigation method and grid adjustments.
Highlighting of strong demands and offers to identify key areas of buying or selling pressure.
How to Use:
Add the indicator to your chart.
Adjust the parameters according to your preferences.
Observe the highlighted areas of volume and price on the chart.
Look for entry or exit signals based on the identified areas of interest.
This indicator is a valuable tool for traders looking to enhance their technical analysis based on volume and market dynamics. Try it out in your trading strategy and discover how it can help you make more informed and accurate decisions.
Yeong RRGThe code outlines a trading strategy that leverages Relative Strength (RS) and Rate of Change (RoC) to make trading decisions. Here's a detailed breakdown of the tactic described by the code:
Ticker and Period Selection: The strategy begins by selecting a stock ticker symbol and defining a period (len) for the calculations, which defaults to 14 but can be adjusted by the user.
Stock and Index Data Retrieval: It fetches the closing price (stock_close) of the chosen stock and calculates its 25-period exponential moving average (stock_ema). Additionally, it retrieves the closing price of the S&P 500 Index (index_close), used as a benchmark for calculating Relative Strength.
Relative Strength Calculation: The Relative Strength (rs) is computed by dividing the stock's closing price by the index's closing price, then multiplying by 100 to scale the result. This metric is used to assess the stock's performance relative to the broader market.
Moving RS Ratio and Rate of Change: The strategy calculates a Simple Moving Average (sma) of the RS over the specified period to get the RS Ratio (rs_ratio). It then computes the Rate of Change (roc) of this RS Ratio over the same period to get the RM Ratio (rm_ratio).
Normalization: The RS Ratio and RM Ratio are normalized using a formula that adjusts their values based on the mean and standard deviation of their respective series over the specified window. This normalization process helps in standardizing the indicators, making them easier to interpret and compare.
Indicator Plotting: The normalized RS Ratio (jdk_rs_ratio) and RM Ratio (jdk_rm_ratio) are plotted on the chart with different colors for visual analysis. A horizontal line (hline) at 100 serves as a reference point, indicating a neutral level for the indicators.
State Color Logic: The script includes a logic to determine the state color (statecolor) based on the previous state color and the current values of jdk_rs_ratio and jdk_rm_ratio. This color coding is intended to visually represent different market states: green for bullish, red for bearish, yellow for hold, and blue for watch conditions.
Signal Generation: The strategy generates buy, sell, hold, and watch signals based on the state color and the indicators' values relative to 100. For example, a buy signal is generated when both jdk_rs_ratio and jdk_rm_ratio are above 100, and the background color is set to green to reflect this bullish condition.
Trade Execution: Finally, the strategy executes trades based on the generated signals. A "BUY" trade is entered when a buy signal is present, and it is closed when a sell signal occurs.
Overall, the strategy uses a combination of RS and RoC indicators, normalized for better comparison, to identify potential buy and sell opportunities based on the stock's performance relative to the market and its momentum.
Dynamic RTH Gap [Pro+] (TheEngineer)Description:
Elevate your trading expertise with the Dynamic RTH Gap , specifically designed for day traders and intraday analysts. Built to serve functionality, it enables traders to dissect and leverage Regular Trading Hour gaps with unparalleled precision and customization. This tool is built based on the methods and experience of TheEngineer who has refined these concepts over Time, creating a stronger framework for intraday analysis.
The difference between the price at market close and the open price at market open defines the RTH gap. These Times vary across different markets and countries, for example for US markets, the gap is defined between 16:15 and 9:30 of the following day.
In futures contracts, traders can use Electronic Trading Hours (ETH), or Regular Trading Hours (RTH). ETH includes the overnight session and pre-market, where majority of market participants are inactive.
When the new day RTH Opens, the Inner Circle Trader teaches how influential the gap created from the previous day's close and the next day's open is to futures contract analysis. Using RTH gap midpoints and projections can aid day traders in interpreting price action with higher context, contributing to higher probability ideas.
Key Features:
Selective Day Analysis: Optimize your trading strategy and templates by focusing on specific days of the week. This tool provides checkboxes for Monday through Friday, allowing for granular analysis on the days that matter most to your trading regimen.
Tuesday Gap extended throughout the week serves as a compass and, in this case, supports price:
RTH Gap Visualization: Engage with the markets through a dynamic visual display of RTH gaps. Benefit from our 'Show RTH Gap' option with an 'Auto Color' feature that automatically adjusts to reflect the bullish or bearish significance of the gap, enhancing your chart analysis with an intuitive color scheme.
Historical CE: This feature is a dedicated component of the Dynamic RTH Gap that integrates the concept of Consequent Encroachment (CE) from the ICT Inner Circle Trader methodology. CE is noted as the 50% of the RTH Gap. Historical CEs may act as key market pivots and or display imbalances away from such level.
Gap Grades Flexibility: Choose from various styles such as 'Dashed', 'Solid', or 'Dotted' to categorize gap grades. An additional option to 'Show Quarters' divides the Regular Trading Hours Gap into quarters for more detailed analysis.
Proactive Gap Projections: Activate 'Show Projections' to display standard deviations of the Regular Trading Hours Gap with an 'Auto' or manual setting. This is complimented with a a visual selection for projection style, providing clearer lines per Tradingview layouts.
Projection Gap Threshold: The 'Proj. Gap Threshold' slider is an innovative feature within the Dynamic RTH Gap , designed to empower traders’ control for gap projections. This feature allows one to display larger or smaller gaps to their back tested values.
Smaller RTH Gaps are less insightful, notice this small gap's projections being hit in the first few candles after the gap is established:
Data Table Integration: With the 'Show Data Table' toggle, access a neatly organized table that compiles and presents relevant gap data. Enhance your data analysis with 'Color Coding', distinguishing data points for quick identification and comparison. Lastly, monitor the % fill of the RTH gaps, up to five gaps in the past.
Automated Gap and Deviation Alerts: This tool is equipped with real-time alerts for immediate notification when gaps fill or when specific deviation levels are reached. Tailor your alerts to your strategy, and stay informed with minimizing chart time. With this feature, traders can maintain a competitive edge on multiple instruments by setting alerts, providing additional trading opportunities.
These tools are available ONLY on the TradingView platform.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Chethan's Price Change AlertsThis Script will alert when the stock price crosses range from 1% to 20%.
Bitcoin Halving Dates + CountdownBitcoin Halving Dates + Countdown Indicator
This unique TradingView Indicator is designed to provide traders and cryptocurrency enthusiasts with critical information about the Bitcoin halving events directly on their charts. Bitcoin halving is a significant event that reduces the reward for mining Bitcoin transactions by half, an occurrence that happens approximately every four years and is known to impact Bitcoin's price significantly.
Features:
▪ Halving Date Lines: The indicator plots vertical lines on the chart at the dates of past and the upcoming Bitcoin halving events.
Customizable Appearance: Users can personalize the look of the indicator with options to change the color of the halving lines, label background, and text for better visibility against their chart theme.
▪ Halving Event Labels: Each halving event is marked with a label indicating its sequence (e.g., 1st Halving) and the exact date it occurred or is expected to occur.
Countdown to Next Halving: For the upcoming halving event, the indicator displays a countdown in days, hours, minutes, and seconds, helping users anticipate the event with precise timing.
▪ User-friendly Options: Toggle the visibility of labels for a cleaner chart appearance and customize color schemes to match personal preferences or chart themes.
Usage:
This indicator is invaluable for those looking to understand Bitcoin's historical halving events and their timing in relation to price movements. It's also perfect for preparing for the next halving event, as the countdown feature provides a clear and timely reminder.
Customization Options:
▪ Show Labels: Toggle on/off the visibility of halving event labels.
Line Color: Choose the color of the vertical lines marking each halving event.
Label Background Color & Text Color: Customize the background and text color of the labels for better readability.
▪ Countdown Label Colors: Separate customization options for the countdown label's background and text colors, allowing for clear visibility and distinction from other chart elements.
Enhance your chart with this indicator and trade with more context and anticipation towards the future of Bitcoin.
TcTrendThis script using 4 moving averages to indicate if the current pair is in an up or downtrend. The middle 2 moving averages are used to indicate an upcoming trend flip.
Optionally also shows the trend of current main symbol against BTC, ETH and SOL, and a configurable pair.
Also shows if BTC.D and CURRENT.D are in an up or downtrend.
All above settings are configurable.
Cast ForwardThis indicator will not forecast price action. It will not predict price movement nor will it in any way predict the outcome of any trade you may take. This is not a signal for buying or selling. You must do your own back testing and analysis for trading.
Time and price are the two most important components of market data. Where was price at what time? To help visualize this question I created this indicator. It allows for the previous session data to be overlayed onto the chart offset forward 24 hours. What this means is that you have the high, (high/low)/2, and low of each candle plotted on top of your chart for the time frame of the current chart, but offset so that the data from the current candle has the data from the corresponding candle 24 hours prior lined up on the x-axis.
SMA Logic: I used the SMA (Simple Moving Average) function with a length of 1 to plot the data points without any smoothing to give the true values of the data.
For Intraday Charting
For Electronic Trading Hours:
In order to line up the data correctly, for intraday charts, I used the current chart timeframe and divided it into 1380 (number of minutes in the 23 hour futures market trading day) to set the data offset. Using the same math logic, this indicator also gives the correct correlated data on the 30 second time frame. If the chart time frame that is currently being used does not allow for correct data correlation (not a factor of 1380) it will not plot the data.
For Regular Trading Hours:
In order to line up the data correctly, for intraday charts, I used the current chart timeframe and divided it into 405 (number of minutes in the 6 hour 45 minutes New York regular session trading day, including the 15 minute settlement time) to set the data offset. This indicator also gives the correct correlated data on the 30 second time frame. If the chart time frame that is currently being used does not allow for correct data correlation (not a factor of 405) it will not plot the data.
For the Daily Chart:
This indicator plots a visualization of the 20-40-60 day IPDA data range; (The IPDA data range helps traders identify liquidity, price gaps, and equilibrium points in the market, providing insights for optimal trade entries and market structure shifts). It does this using the same SMA logic as the intraday plot. What this means is it offsets the historical data of the daily chart 20, 40, or 60 bars forward. You can plot any combination of the three on the chart at one time, but these will not show on the intraday chart. This allows for visualization of where the market will possibly seek liquidity, seek to rebalance, or seek equilibrium in the future.
Sunday Vertical Lines (00:00 NY)Short Description:
Experience enhanced chart clarity with our "Sunday Midnight Vertical Lines" indicator. This tool elegantly marks every Sunday at 00:00 New York time, providing traders with a clear reference point for weekly market resets and potential strategy adjustments.
Detailed Description:
Purpose:
The "Sunday Midnight Vertical Lines" indicator is designed to help traders and market analysts visually segment their charts based on weeks. By clearly demarcating the start of each trading week, this tool aids in performing weekly analyses, understanding market rhythms, and preparing for the week ahead.
Key Features:
Automatic Time Zone Adjustment: The indicator adjusts for New York time, ensuring accuracy regardless of the user's local time zone.
Visual Clarity: Draws a distinct red vertical line at 00:00 each Sunday, offering a stark contrast against typical chart elements.
Performance Optimized: Efficiently coded to maintain chart performance, even on data-rich interfaces.
User-Friendly: No complex settings required. The tool works immediately upon addition to the chart, facilitating ease of use for traders of all skill levels.
Use Cases:
Weekly Market Analysis: Ideal for traders who conduct weekly market reviews, as it visually segments the chart at the beginning of each trading week.
Strategic Planning: Useful for planning and adjusting weekly trading strategies.
Historical Reference: Assists in historical market analysis by providing clear reference points for the start of each week.
Conclusion:
Whether you're a day trader, swing trader, or long-term investor, the "Sunday Midnight Vertical Lines" indicator is a simple yet powerful tool to enhance your chart analysis. It offers a clear, visual reference point for the start of each trading week, aiding in strategy development and market understanding.
X% Drop in X Days, sold X Days afterIt identifies potential buy signals based on a specified percentage drop in price over a set number of days and calculates the total profit or loss (P/L) over a predefined period. Here's a breakdown of the script and its key parameters:
Script Description:
Indicator Name: "X% Drop in X Days, sold X Days after"
Functionality:
The script signals a buy opportunity when the price of an asset drops by a certain percentage (percentage_drop) within a specified length (length) in days.
It calculates the profit or loss percentage after a set number of days (hold_days) from the buy signal.
The script also displays the cumulative total profit or loss over a specified time frame, from a start date (start_period) to an end date (end_period), which is by default set to the current date.
Display:
Buy signals are marked on the chart.
The profit or loss for each trade after the hold period is displayed.
A label showing the total cumulative profit or loss, along with the start and end dates, is displayed on the chart.
Key Parameters:
percentage_drop (10.0% by default) : The percentage decrease in price that triggers a buy signal. It represents the threshold for the price drop to consider a buying opportunity.
length (3 days by default): The period over which the drop in price is considered. It's the timeframe used to evaluate the percentage drop.
hold_days (30 days by default) : The duration for holding the asset after the buy signal before selling. This parameter defines the time after which the profit or loss is calculated.
start_period (Set to "2022-11-21" by default): The beginning date for calculating the cumulative total profit or loss. This parameter allows the user to define a specific starting point for the analysis.
end_period (Set to the current date by default): The end date for the cumulative total profit or loss calculation. It defaults to the current date but can be set to a specific date for backtesting purposes.
Script Mechanics:
Buy Signal Logic: A buy signal is generated when the closing price is below the highest price of the last 'length' days, adjusted by the 'percentage_drop'.
Profit/Loss Calculation: For each buy signal, the script calculates the profit or loss percentage after 'hold_days' from the purchase. This is displayed on the chart for each trade.
Total P/L Display: The script calculates and displays the cumulative total profit or loss in the defined period (from 'start_period' to 'end_period') in a label on the chart.
Usage:
This script is useful for traders who follow a strategy based on buying assets after significant price drops and holding for a predetermined period. It automates the detection of potential buy opportunities and the calculation of profit or loss, aiding in decision-making and performance analysis.
Re8bile's Vertical Lines atThis indicator draws vertical lines at 9.30 am, 11.00 am, 1 pm and 4 pm EST.
SMA Comparison with Buy and Sell Signals ShrutIndicator Name: SMA Comparison with Buy and Sell Signals
Overlay: Enabled (Indicator is displayed on the main price chart)
Description:
The "SMA Comparison with Buy and Sell Signals" indicator is designed to identify potential buying and selling opportunities in a financial instrument by comparing three Simple Moving Averages (SMAs) – the 20-day SMA, 50-day SMA, and 200-day SMA.
Features:
Simple Moving Averages (SMAs):
Calculates and displays three SMAs based on the closing price: SMA-20, SMA-50, and SMA-200.
Buy and Sell Conditions:
Buy Condition : Triggered when the 200-day SMA is greater than the 50-day SMA, the 50-day SMA is greater than the 20-day SMA, and the current closing price is lower than the 20-day SMA.
Sell Condition: Triggered when the 200-day SMA is less than the 50-day SMA, the 50-day SMA is less than the 20-day SMA, and the current closing price is higher than the 20-day SMA.
Signal Generation:
Generates buy and sell signals on the chart based on the identified conditions.
Implements a 15-day cooldown period between consecutive buy or sell signals to prevent frequent signals in volatile market conditions.
Signal Display:
Displays buy signals as green triangle shapes below the price bars.
Displays sell signals as red triangle shapes above the price bars.
Usage:
Buy Signals: Considered when the green triangle shapes (buy signals) appear below the price bars, indicating a potential buying opportunity based on the defined SMA conditions.
Sell Signals: Considered when the red triangle shapes (sell signals) appear above the price bars, indicating a potential selling opportunity based on the defined SMA conditions.
Notes:
This indicator is customizable and can be adjusted by modifying the conditions based on specific trading strategies and preferences.
Traders should consider additional analysis and risk management strategies before making trading decisions based solely on the indicator signals.
RSI SuperstackThis script integrates three Relative Strength Index (RSI) indicators across multiple time frames, providing a comprehensive overview of oversold and overbought conditions. This holistic approach enhances the precision of entry and exit points on shorter time frames.
As a momentum indicator, the Relative Strength Index assesses a security's strength during upward and downward price movements within the specified time period.
In a broader context, an upward slope in all indicators (green, purple, and orange) signifies an increasing market momentum, suggesting a potential continuation of the upward trend.
More specifically, a collective upward slope reaching or surpassing the 40 level in all indicators serves as a buy signal. Conversely, a uniform downward slope descending to or below the 60 level in all indicators constitutes a sell signal.
The default time frames for analysis include:
- 1 Hour (1H)
- 4 Hours (4H)
- Daily (D)
It is imperative to note that this indicator should not serve as the sole determinant for initiating long or short positions. Instead, it is recommended to consider it as part of a broader analysis, incorporating factors such as trend analysis and significant support levels.
Disclaimer: The utilization of this indicator should complement a comprehensive analysis and not be solely relied upon for decision-making regarding long or short positions.
Dual Regime Strategy (DRS)/Introduction
The Dual Regime Strategy (DRS) is a composite strategy consisting of two signals, both catering to two different market regimes. The stock market experiences periods of high volatility followed by periods of low volatility, a mean reversion strategy performs well during periods of high volatility while a trend following strategy performs well during periods of low volatility. This is the basis for the mean reversion signal and the momentum signal.
/Signals
1. Mean Reversion Signal
Definition: Mean reversion is a financial theory that suggests that asset prices and financial markets tend to fluctuate around a long-term average or mean value. In other words, when the price of an asset moves significantly away from its historical average, it is likely to revert, or move back, towards that average over time.
Concept: Mean reversion assumes that extreme price movements are temporary and that there is an inherent tendency for prices to return to their historical average or equilibrium level. Traders and investors who follow mean reversion strategies often look for overbought or oversold conditions in the market to identify potential trading opportunities. They believe that when prices deviate too far from their mean, there is a higher probability of a reversal.
DRS strategy: The Keltner Channel is a volatility-based technical indicator that consists of three lines: an upper channel, a lower channel, and a middle channel. It is primarily used for mean reversion strategies. The strategy uses a Keltner channel to trigger the mean reversion signals by identifying potential overbought and oversold conditions.
2. Momentum Signal
Definition: Momentum, in the context of financial markets, refers to the tendency of assets to continue moving in the same direction as their recent past price movements. It is based on the idea that assets that have been performing well recently are more likely to continue performing well, and assets that have been performing poorly are more likely to continue performing poorly.
Concept: Momentum traders and investors seek to identify and ride existing price trends. They believe that there is a persistence in price movements, and they aim to capitalize on this persistence by buying assets that have shown recent strength and selling assets that have shown recent weakness.
DRS strategy: The Exponential Moving Average is used to identify the strength and direction of the existing trend. When the price remains above the moving average, it indicates bullish momentum and vice versa for bearish momentum.
/Results
The backtest results are based on a starting capital of $13,700 (convenient amount for retail traders) with 5% of equity for the position size and pyramiding of 2 to allow one open position at a time for each signal. Commissions vary from broker to broker and they are calculated in different ways so a simple $3 per order is used in backtesting this strategy. Slippage of 3 ticks is used to ensure the results are representative of real world, market order trading. The backtest results are available to view at the bottom of this page.
Note:
Past performance in backtesting does not guarantee future results. Broker execution and market changes can significantly affect strategy performance in live trading.
Originality:
The DRS strategy is unique in its combination of both Momentum Strategy and Mean Reversion Strategy components within a single trading strategy. This dual-regime approach allows the strategy to adapt to different market conditions. Additionally, it incorporates short positions for momentum signals, this ensures that the strategy remains active in bear markets.
1. Mean Reverting Regimes
In mean-reverting regimes, markets exhibit high volatility with prices oscillating around a historical average. The DRS employs the Keltner Channel as a core tool for identifying overbought and oversold conditions, which are prevalent in such regimes.
Detection: The strategy detects mean reverting opportunities when prices deviate significantly from the middle band of the Keltner Channel, signaling an overbought or oversold condition.
Execution: Trades are executed with the expectation that prices will revert to the mean. For example, buying when the price is below the lower band (oversold) and selling when it's above the upper band (overbought).
2. Trending Regimes
In trending regimes, markets move in a persistent direction, either up or down. The DRS utilizes the Exponential Moving Average (EMA) to identify and follow these trends.
Trend Identification: The EMA helps in determining the overall direction of the trend, while the number of days price stays above the moving average indicates the strength of the trend.
Trade Execution: The strategy capitalizes on strong trends by taking positions in the direction of the trend (long positions in uptrends and short positions in downtrends).
/Tickers
This strategy has been backtested primarily on SPY. It also performs well on IWF and QQQ.
Market SessionsDraws a vertical line at market opens and closes.
The colors can be changed and the opening times can be changed too.
[KenStrat] - Catching trend for the PipsDescription:
The " - Catching trend for the Pips" indicator is designed to help traders identify potential trend reversal points and capture significant price movements, with a focus on both daily and weekly perspectives.
**Friday Close Analysis:**
This component of the indicator concentrates on the Friday close of each week. The script displays visual elements on the daily chart exclusively. Specifically, it marks key price levels, providing insights into the closing position relative to the week's range. The indicator categorizes the closing price into three zones: above 66%, between 33% and 66%, and below 33%. This distinction aids traders in assessing the strength and directionality of the market at the end of the week. The displayed label offers a concise summary of the Friday's closing behavior, aiding in quick trend analysis.
**Weekly Trend Verification:**
The second part of the indicator focuses on verifying the weekly trend. By identifying the highest highs and lowest lows of the past two weeks, the script determines whether the current price action exhibits a bullish or bearish trend. The visualization on the chart helps traders assess the broader trend direction and make informed decisions based on the prevailing market sentiment. The label dynamically updates to indicate whether the overall trend is bullish, bearish, or neutral.
**Key Features:**
- Differentiates between Friday closing price zones for trend assessment.
- Weekly trend verification based on highest highs and lowest lows.
- Visual representation of trend conditions on the chart.
- Dynamic labels for quick interpretation of trend strength and direction.
- Exclusively designed for daily and weekly timeframes.
The " - Catching trend for the Pips" indicator provides a comprehensive tool for traders seeking to capture and analyze trend movements efficiently, allowing for informed decision-making in the dynamic Forex market.
YOY Change (Log Scale)ear-Over-Year Change Indicator (Log Scale) calculates the percentage change of a security's price over the past year, on a logarithmic scale. It is a momentum indicator that can be used to identify trends and potential reversals.
A positive value on the indicator indicates that the security's price has increased over the past year, while a negative value indicates that the price has decreased. A larger positive or negative value indicates a stronger trend.
The indicator can be used to identify overbought and oversold conditions. When the indicator is significantly above or below zero, it may be a sign that the security is overbought or oversold and a reversal may be imminent.
