Multi-Asset & TF RSI
Multi-Asset & TF RSI
This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously.
Key Features:
Primary Asset RSI:
The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe.
Optional Second Asset RSI:
Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison.
RSI Settings:
Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy.
Visual Aids:
Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions.
Asset Information Table:
A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.”
How to Use:
Apply the Indicator:
Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe.
Adjust Primary Asset Settings:
Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe.
Enable and Configure the Second Asset:
Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled.
Monitor the RSI Values:
Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed.
This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes!
Happy Trading!
Tìm kiếm tập lệnh với "Table"
52-Week & 5-Year High/Low with DatesThis indicator is designed to help traders quickly identify key price levels and their historical context by displaying the 52-week high/low and 5-year high/low prices along with their respective dates. It provides a clear visual representation of these levels directly on the chart and in a dashboard table for easy reference.
Key Features
52-Week High/Low:
Displays the highest and lowest prices over the last 252 trading days (approximately 52 weeks).
Includes the exact date when these levels were reached.
5-Year High/Low:
Displays the highest and lowest prices over the last 1260 trading days (approximately 5 years).
Includes the exact date when these levels were reached.
Visual Labels:
High and low levels are marked on the chart with labels that include the price and date.
Dashboard Table:
A table in the top-right corner of the chart summarizes the 52-week and 5-year high/low prices and their dates for quick reference.
Customizable Date Format:
Dates are displayed in the YYYY-MM-DD format for clarity and consistency.
Level based on elasticityDaily Variation Indicator and Probability Levels (SD)
This indicator calculates and displays the daily variation of an asset (open/close and high/low spread), as well as probability levels based on the standard deviations (SD) of past variations. It provides a clear view of daily trends and the probability levels for the day's volatility.
Features:
Calculation of Daily Variations:
- Variation between the open and close.
- Difference between the highest and lowest prices of the day.
Probability Levels SD:
- SD+1, SD+2, SD+3 for upward moves.
- SD-1, SD-2, SD-3 for downward moves.
Display Customization:
- Option to display or hide the SD level lines.
- Option to color the background based on the day's variation (up or down).
- Customization of colors and line types.
Statistical Summary Table:
- Detailed information on variations and SD levels with options to display it in various positions (top/bottom, left/right).
Configuration Options:
SD Lines:
- Choose to display the lines for each probability level (SD+1, SD+2, SD+3 and their negative counterparts SD-1, SD-2, SD-3).
- Option to extend the lines to the right, left, or both.
Colors and Opacities:
- Lines can be colored to differentiate positive and negative levels.
- Transparent colored background for enhanced visibility of variations.
Table Position:
- Select where to display the statistical information table (e.g., top/right, bottom/right, etc.).
Advantages:
Helps visualize volatility and daily trends.
Quickly identifies days when movements are significantly above or below the historical average.
A practical tool for monitoring intraday variations.
Usage:
Particularly useful for short-term traders or anyone wanting to observe detailed daily fluctuations.
Ideal for enhancing volatility analysis and adjusting strategies based on market movements.
Reversal Opportunity📌 Indicator Description – Reversal Opportunity 🎯
🔍 General Overview
The Reversal Opportunity indicator is designed to identify ideal conditions for Reversal Trading, but it does not provide trade entry signals. Instead, it helps traders determine whether the market conditions are favorable for a potential reversal.
It is specifically designed for traders who execute Reversal trades (Long or Short) and want a clear indication of whether the market is currently suitable for such setups.
💡 What does this indicator do?
- Identifies strong momentum before a reversal (a sharp upward or downward move).
- Detects momentum slowdown (decreasing volume and smaller candles).
- Checks if the RSI is at an extreme level (above 70 or below 30), indicating potential overbought or oversold conditions.
- Displays a table at the top center of the screen with the following key data:
- Are the conditions for a reversal met?
- Is there a slowdown in momentum?
- Is RSI at an extreme level?
- Was there strong uptrend momentum before a possible Short Reversal?
- Was there strong downtrend momentum before a possible Long Reversal?
⚙️ How Does the Indicator Work?
The indicator displays a table in the center of the screen, updating every 5 candles to indicate whether the market conditions are ideal for a reversal trade.
📊 Main Status Row:
- ✔ Ideal Reversal Setup → Conditions for a reversal trade are met (not a trade recommendation).
- ✖ Not Ideal → Reversal conditions are not met; it may be better to wait.
📌 Key Criteria Displayed in the Table:
1. ⚠️ Momentum Slowdown
- Yes → Momentum is weakening (a good sign for reversal trades).
- No → The market is still moving strongly, and a reversal might not be ready yet.
2. 📈 RSI Extreme
- Yes → RSI is above 70 (overbought) or below 30 (oversold), indicating a potential reversal.
- No → RSI is still in a normal range, suggesting that waiting for further confirmation might be wise.
3. 📊 Uptrend Momentum Before Reversal
- Yes → There was a strong uptrend over multiple consecutive candles, potentially setting up for a Short Reversal.
- No → No strong upward momentum was detected, meaning conditions for a Short Reversal may not be ideal.
4. 📉 Downtrend Momentum Before Reversal
- Yes → There was a strong downtrend over multiple consecutive candles, potentially setting up for a Long Reversal.
- No → No strong downward momentum was detected, meaning conditions for a Long Reversal may not be ideal.
🛠️ How to Use the Indicator?
- If "✔ Ideal Reversal Setup" appears, there is a high probability of a market reversal – use your personal entry strategy for further confirmation.
- If Momentum Slowdown = Yes, RSI Extreme = Yes, and strong momentum occurred beforehand, this is an ideal setup for a reversal trade.
- If any conditions are missing ("No"), it may be better to wait for further confirmation instead of entering too early.
- The indicator does NOT provide trade entries! Use your existing trading system for confirmation before entering a trade.
👥 Who Is This Indicator For?
- Reversal traders (entering against the current trend after a strong move).
- Intraday traders looking for reversal trades at extreme market levels.
- Technical traders who rely on Price Action and Volume for trade setups.
⚠️ Disclaimer:
This indicator does not recommend trade entries but provides insight into market conditions. The trader is responsible for risk management and decision-making.
It is best used in combination with additional confirmations such as reversal candles, Order Flow, Bookmap, or Volume Profile to improve accuracy.
🚀 The indicator is ready to use – add it to TradingView and get instant feedback on whether the market is ideal for a Reversal trade!
Trend Matrix - XTrend Matrix - X: Advanced Market Trend Analysis
Introduction: Trend Matrix - X is a powerful indicator designed to provide a comprehensive view of market trends, state transitions, and dynamics. By integrating advanced algorithms, statistical methods, and smoothing techniques, it identifies Bullish, Bearish, or Ranging market states while offering deep insights into trend behavior.
This indicator is ideal for traders seeking a balance between noise reduction and real-time responsiveness, with configurations that adapt dynamically to market conditions.
How It Works?
The indicator combines K-Median Clustering, Kalman Filtering, Fractal Dimension Analysis, and various regression techniques to provide actionable insights.
Market State Detection
- Divides data into three clusters: Bullish, Bearish, and Ranging.
- Uses K-Median Clustering to partition data based on medians, ensuring robust state classification even in volatile markets.
- Slope-Based Trend Analysis: Calculates trend slopes using Linear, Polynomial, or Exponential Regression. The slope represents the trend direction and strength, updated dynamically based on market conditions. It can apply Noise Reduction with Kalman Filter to balance stability and sensitivity
Dynamic Lookback Adjustment
- Automatically adjusts the analysis window length based on market stability, volatility, skewness, and kurtosis.
- This feature ensures the indicator remains responsive in fast-moving markets while providing stability in calmer conditions.
Fractal Dimension Measurement
- Calculates Katz Fractal Dimension to assess market roughness and choppiness.
- Helps identify periods of trend consistency versus noisy, range-bound markets.
Why Use Trend Matrix - X?
- Actionable Market States: Quickly determine whether the market is Bullish, Bearish, or Ranging.
- Advanced Smoothing: Reduces noise while maintaining trend-following precision.
- Dynamic Adaptation: Automatically adjusts to market conditions for consistent performance across varying environments.
- Customization: Configure regression type, lookback dynamics, and smoothing to suit your trading style.
- Integrated Visualization: Displays trend states, fractal dimensions, and cluster levels directly on the chart.
Configuration Options
Matrix Type (Raw or Filtered)
- Raw shows the unfiltered slope for real-time precision.
- Filtered applies Kalman smoothing for long-term trend clarity.
Regression Type
- Choose Linear, Polynomial, or Exponential Regression to calculate slopes based on your market strategy.
Dynamic Lookback Adjustment
- Enable Gradual Adjustment to smoothly adapt lookback periods in response to market volatility.
Noise Smoothing
- Toggle Smooth Market Noise to apply advanced filtering, balancing stability with responsiveness.
Cluster State Detection
- Visualize the current state of the market by coloring the candles to match the detected state.
How to Use the Trend Matrix - X Indicator
Step-by-Step Guide
Add the Indicator to Your Chart
- Once applied, it will display: Trend line (Trend Matrix) for identifying market direction, A state table showing the current market state (Bullish, Bearish, or Ranging), Cluster levels (High, Mid, and Low) for actionable price areas, Fractal dimension metrics to assess market choppiness or trend consistency.
Configure Your Settings
- Matrix Source (Raw vs. Filtered): Raw Matrix : Displays real-time, unsmoothed slope values for immediate precision. Ideal for fast-moving markets where rapid changes need to be tracked. Filtered Matrix : Applies advanced smoothing (Kalman Filter) for a clearer trend representation. Recommended for longer-term analysis or noisy markets
- Regression Type (Choose how the trend slope is calculated): Linear Regression : Tracks the average linear rate of change. Best for stable, straightforward trends. Polynomial Regression : Captures accelerating or decelerating trends with a curved fit. Ideal for dynamic, cyclical markets. Exponential Regression : Highlights compounding growth or decay rates. Perfect for parabolic trends or exponential moves.
- Market Noise Smoothing: Applies an adaptive (no lag) smoothing technique to the Matrix Source.
- Gradual Lookback Adjustment: Enable "Gradually Adjust Lookback" to allow the indicator to dynamically adapt its analysis window. (Indicator already does an automatic window, this just refines it).
Read the Outputs
- Trend Matrix Line: Upward Line (Bullish): Market is trending upward; look for buy opportunities. Downward Line (Bearish): Market is trending downward; look for sell opportunities.
- Cluster Levels: High Level (Cluster 0): Represents the upper bound of the trend, often used as a resistance level. Mid Level (Cluster 2): Serves as a key equilibrium point in the trend. Low Level (Cluster 1): Indicates the lower bound of the trend, often used as a support level.
- Market State Table: Displays the current state of the market. Bullish State: Strong upward trend, suitable for long positions. Bearish State: Strong downward trend, suitable for short positions. Ranging State: Sideways market, suitable for range-bound strategies.
- Fractal Dimension Analysis: Low Fractal Dimension (< 1.6): Indicates strong trend behavior; look for trend-following setups. High Fractal Dimension (> 1.6): Suggests choppy, noisy markets; focus on range-trading strategies.
Advanced Usage
- Adaptive Clustering: The indicator uses K-Median Clustering to dynamically identify Bullish, Bearish, and Ranging states based on market data. For traders interested in state transitions, monitor the cluster levels and the state table for actionable changes.
Trading Strategies
- Trend-Following: Use the Filtered Matrix and Fractal Dimension (< 1.6) to identify and follow strong trends. Enter long positions in Bullish States and short positions in Bearish States.
Disclaimer
I am not a professional market analyst, financial advisor, or trading expert. This indicator, Trend Matrix - X, is the result of personal research and development, created with the intention of contributing something that the trading community might find helpful.
It is important to note that this tool is experimental and provided "as-is" without any guarantees of accuracy, profitability, or suitability for any particular trading strategy. Trading involves significant financial risk, and past performance is not indicative of future results.
Users should exercise caution and use their own discretion when incorporating this indicator into their trading decisions. Always consult with a qualified financial advisor before making any financial or trading decisions.
By using this indicator, you acknowledge and accept full responsibility for your trading activities and outcomes. This tool is intended for educational and informational purposes only.
Dominant Smoothed Volume Pro Smoothed Volume Pro provides a useful tool designed to provide traders with a deeper understanding of market dynamics by analyzing buy and sell volume across multiple timeframes. Unlike traditional volume indicators, this script normalizes volume data from lower timeframes to align with the current chart's timeframe, providing an apples-to-apples comparison. The result is a visual histogram representation of the dominant buy or sell activity, smoothed over 5 different periods to reflect momentum shifts and enhance clarity.
Core Methodology
1. Multi-Timeframe Volume Analysis
This indicator leverages data from five different lower timeframes, each chosen dynamically based on the current chart's timeframe. By aggregating and normalizing these granular data points, the indicator captures subtle shifts in buy and sell volume that might otherwise go unnoticed. This multi-timeframe approach allows for a more detailed and accurate representation of market activity.
2. Data Normalization
Normalization is a critical component of this indicator. It ensures that volume data from lower timeframes is scaled appropriately to match the total volume of the current chart's timeframe. This step eliminates discrepancies caused by varying time intervals, providing a more meaningful comparison of volume trends across different periods.
3. Smoothing for Momentum Representation
The indicator employs five customizable smoothing factors to smooth out noisy volume data.
Each smoothing factor is distinctly color-coded in the histogram and table for intuitive analysis, helping traders quickly identify prevailing trends.
Features and Benefits
➖Customizable Smoothing Factors: Choose from five different smoothing factors, each with its unique settings for line styles, colors, and extensions.
➖Normalized Buy and Sell Volume: Displays normalized buy and sell volumes as a percentage of total activity, aiding in quick decision-making.
➖Visual Cues: Color-coded columns and labels help identify dominant trends at a glance, with high-opacity fills for visual clarity.
➖Dynamic Table: A built-in table summarizes smoothed volume data for each smoothing factor, offering a quick overview of bullish and bearish percentages.
➖Momentum Signals: Detect significant shifts in volume momentum with visually distinct alerts for high relative volumes, including special symbols like "⚡" and "🔥."
Practical Applications
➖Identifying Market Sentiment: Quickly determine whether the market is dominated by buyers or sellers at any given moment.
➖Spotting Reversals: Use momentum shifts in smoothed volume to anticipate potential trend reversals.
➖Enhancing Entry and Exit Points: Combine this indicator with other technical tools to refine entry and exit points in your trading strategy.
Why This Indicator Stands Out
Many existing volume indicators focus solely on raw or single-timeframe data, which can be misleading or incomplete. This indicator sets itself apart by:
Utilizing multi-timeframe data to provide a holistic view of market activity.
Applying robust normalization techniques to ensure data consistency.
Offering advanced smoothing options to emphasize actionable momentum signals.
This unique combination of features makes it an indispensable tool for traders seeking to enhance their market analysis and decision-making process.
As always, by combining the Smoothed Volume Pro with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy.
Here's an additional visual representation using the plot fills:
Position sizerPosition Sizer Indicator
The "Position Sizer" indicator is a practical tool for traders who need to quickly and accurately calculate position sizes based on their account balance, risk tolerance, and stop-loss level. It ensures real-time updates and supports multiple asset classes like Forex, Indexes, Metals, and Crypto.
Key Features
Dynamic Position Sizing: Automatically calculates position sizes based on the current market price and stop-loss level.
Stop-Loss Adjustment: Allows users to drag the stop-loss level directly on the chart, dynamically updating the position size.
Interactive Table: A single click on the table activates the draggable stop-loss level for easy adjustments.
Multi-Asset Compatibility: Fully supports Forex, Indexes, Metals, and Crypto trading pairs.
How to Use
Deactivate the Indicator:
Turn off the indicator to make it inactive.
Set the Stop-Loss Price:
Copy the stop-loss price or use a price near the current market price.
Reactivate the indicator after inserting the stop-loss price.
Adjust the Stop-Loss Level if needed:
Click once on the table to enable the stop-loss level for dragging.
Move the stop-loss line as needed—position sizes will automatically recalculate.
Important Disclaimer
Verification Required: Always verify the calculated position size before executing trades.
Broker Confirmation: Double-check the point size for your trading symbol with your broker to avoid errors in calculations.
User Responsibility: The creator assumes no responsibility for any trading decisions made based on this indicator.
This tool helps streamline position management, ensuring you can focus on executing your trades with accuracy and speed. Always confirm your calculations before trading.
Strategy Development Environment [BerlinCode42]Happy Trade,
Intro
What is New
Algebraic/Boolean Equation
Instruction Set for The Algebraic/Boolean Equation
Example
Usage
Settings Menu
Declaration for Tradingview House Rules on Script Publishing
Disclaimer
Conclusion
1. Intro
This is a rich equipped fork of my previous "Backtest any Indicator v5". And serves as the fitting backtester and trade strategy creation tool for my upcoming ANN Indicators (artificial neural network).
As the previous version this script has no trade signal generating code. The trade signals comes in by the five user settable input slots where the user plug-in external indicators. The final trade siganls go long etc are defined by a algebraic/boolean equation typed in as text in 4 terminals as shown in Image 0 . With this algebraic/boolean equations input the user can setup any trade logic as complex and fast and easy as never seen before here on TradingView.
Image 0
2. What is new
Input algebraic/boolean equations in text-form for go long, go short, exit long & exit short
Five input slots for external indicator signals
Equation tester
User settable signal delay for enter and exit trades
User selectable alternating trades filter
User settable exit long = enter short
Intrabar or trade only on bar closing
Time filter with duration input
User settable UTC Adjustment
Long and short trades possible
Two Take Profits with quantity setting
Trailing Stop
Webhook connection
3. Algebraic/Boolean Equation
This is where the magic happens. Unlike other backtesters that rely on drop-down menus to define trade signal equations—thus limiting the number of input signals and the complexity of logic—this script uses a string interpreter to solve equations. With this, you can develop your trade logic equations and add signals or conditions simply by writing them down in algebraic/boolean form.
The instruction set for this interpreter includes not only external input signals but also several internal values. These include BarTime, BarIndex, Open, High, Low, Close, True Range, Minimal Tick, Volume, and a signal that indicates whether there is an open trade (long, short, or none). You can also reference the values of past bars for all these inputs and, of course, use constant values in your equations. There is a sad limitation: Only one past bar value per equation is practicable. If you use more, errors can occur. It seems to be caused by the pipe line architecture of the parallel computing. In any attempt to solve this issue an older function call result was hand over.
The implemented functions cover a wide range of algebraic and boolean operations. A boolean "true" is represented by all values greater than zero, while "false" is represented by zero or values less than zero.
4. Instruction set for the Algebraic/Boolean Equation
There are functions that accept either two input values or one input value. The general form is (XandY) or (notX), where X and Y can be any input slot, predefined value, constant, or another sub-equation. Functions are always written in lowercase, while input slots and predefined values use uppercase letters.
Each sub-equation must be enclosed in parentheses, e.g., (A+B). Without proper use of parentheses, the interpreter cannot determine which function to calculate first. Negative constants must be expressed by subtracting from zero (e.g., (0-3.14)), so careful attention is required.
Here are some examples that demonstrate both incorrect and correct notations:
incorrect correct
(A+B*C) (A+(B*C))
(A+B+D+E) (A+(B+(D+E)))
(-20>A) ((0-20)>A)
(A*-B) (A*(0-B))
(AnotB) (Aand(notB))
ABS(a-b) (abs(A-B))
The correct usage ensures the interpreter calculates in the intended order.
And here comes the complete Instruction Set:
Addition: (A+B)
Subtraction: (A-B)
Multiplication: (A*B)
Division: (A/B)
Absolut value: (absA)
Power of: (A^B)
Natural Logarithm: (logA)
Lowest value of Low of last x bars: (lotx)
Highest value of High of last x bars: (hotx)
Modulo, Remainder of a Division: (A%B)
Round: (rndA)
round to ceil: (ceiA)
Round to floor: (floA)
Round to next minimal tick: (mitA)
EMA of A of last 3 bars: (e03A)
EMA of A of last 7 bars: (e07A)
EMA of A of last 10 bars: (e10A)
EMA of A of last 20 bars: (e20A)
EMA of A of last 50 bars: (e50A)
Smaller then: (AB)
Equal to: (A==B)
Unequal to: (A!=B)
And: (AandB)
Or: (AorB)
Exclusive Or: (AxorB)
Not: (notA)
Past bar value: (A ) ,whereby x can be 1,2,3,...,barIndex-1
Bar time: (T)
Bar index: (I)
Opening Price of Bar: (O)
Highest Price of Bar: (H)
Lowest Price of Bar: (L)
Closing Price of Bar: (C)
Min tick value for the current symbol: (K)
Trade Volume: (V)
True Range: (R)
Is Money invested: (M) ,Long position: M=1,
Short position: M=-1,
No position: M=0
Reminder: if you wanna replace A or B above don't forget the parentheses. So if you have (logA) and wanna replace A with D+F so the correct replacement would be (log(D+F)).
In the following there are some examples of popular bar patterns and useful filters:
Doji: ((abs(O-C))<(10*K))and((H-L)>(100*K))
green Hammer: (((H-C)<(5000*K))and(((O-L)/2)>(abs(O-C)))
Up trend: (C>(e10H))
Down trend: (C<(e10L))
cool down 7 bars: (( any buy condition )and((e07(absM))==0))
possible Pivot High: (H==(hot30))and((CC))
possible Pivot Low: (L==(lot30))and((C>H )or(O0)), goShort ((A>0)and((A )<0)), Enter Signal delay=0, Exit Signal delay=0, Alternate Trades=true
take profit 1 =0.4% (30%), take profit 2 =0.7%, trailing stop loss=0.2%, intrabar, start capital=1000$, qty=5%, fee=0.05%, no Session Filter
Image 1
6. Usage
First you need to attach some signals from external Indicators. In the example above we use the Stochastic RSI indicator from TradingView. Load the Stochastic RSI indicator to the chart. Then you go to the settings menu of this script, choose in the drop-down menu of Input A the signal .
In case you wanna use a signal which is not in the drop-down menu of Input A do the following:
1) You need to know the name of the boolean (or integer) variable of your indicator which hold the desired signal. Lets say that this boolean variable is called BUY. If this BUY variable is not plotted on the chart you simply add the following code line at the end of your pine script.
For boolean (true/false) BUY variables use this:
plot(BUY ? 1:0,'Your buy condition hold in that variable BUY',display = display.data_window)
And in case your script's BUY variable is an integer or float then use instate the following code line:
plot(BUY ,'Your buy condition hold in that variable BUY',display = display.data_window)
2) Probably the name of this BUY variable in your indicator is not BUY. Simply replace in the code line above the BUY with the name of your script's trade condition variable.
3) Do the same procedure for your SELL variable. Then save your changed Indicator script.
4) Then add the changed Indicator script from step before and this backtester script to the chart ...
5) and go to the settings of it. Choose under "Settings -> Input A " your Indicator. So in the example above choose .
The form is usually: ' : BUY'. Then you see something like Image 1
6) Decide about each trade logic for Go Long and Go Short . In this Example we use for GoLong if "Stoch RSI: K" is smaller then 20. The "Stoch RSI: K" we already loaded it in input A. So we set under Go Long (A<20) and set Enter Signal Delay to 0.
Now we setup Go Short if "Stoch RSI: K" is bigger then 80. So we set under Go Short A>80. Enter Signal Delay is already set.
7) For the Exit conditions you can choose (trailing) Stop loss or Take Profit or Exit by Indicator Signal. What ever comes first triggers the exit. If you like to use an EMA Indicator for the Exit by Indicator just load it in a free input slot B, D, E, F or use the inbuild EMA. For this example we use the inbuild EMA of the last 7 values of close. It is called by the following equation: (e07C). So to exit a long trade when the close price crossunder this EMA you have to type in Exit Long ((e07C)>C). For exit a short trade enter in Exit Short ((e07C)
MAG 7 - Weighted Multi-Symbol Momentum + ExtrasOverview
This indicator aggregates the percentage change of multiple symbols into a single “weighted momentum” value. You can set individual weights to emphasize or de-emphasize particular stocks. The script plots two key items:
The default tickers in the script are:
AAPL (Apple)
AMZN (Amazon)
NVDA (NVIDIA)
MSFT (Microsoft)
GOOGL (Alphabet/Google)
TSLA (Tesla)
META (Meta Platforms/Facebook)
Raw Weighted Momentum (Histogram):
Each bar represents the combined (weighted) percentage change across your chosen symbols for that bar.
Bars are colored green if the momentum is above zero, or red if below zero.
Smoothed Momentum (Yellow Line):
An Exponential Moving Average (EMA) of the raw momentum for a smoother trend view.
Helps visualize when short-term momentum is accelerating or decelerating relative to its average.
Features
Symbol Inputs: Up to seven user-defined tickers, with weights for each symbol.
Smoothing Period: Set a custom lookback length to calculate the EMA (or switch to SMA in the code if you prefer).
Table Display: A built-in table in the top-right corner lists each symbol’s real-time percentage change, plus the total weighted momentum.
Alerts:
Configure alerts for when the weighted momentum crosses above or below user-defined thresholds.
Helps you catch major shifts in sentiment across multiple symbols.
How To Use
Select Symbols & Weights: In the indicator’s settings, specify the tickers you want to monitor and their corresponding weights. Weights default to 1 (equal weighting).
Watch the Bars vs. Zero:
Bars above zero mean a positive weighted momentum (the basket is collectively moving up).
Bars below zero mean negative weighted momentum (the basket is collectively under pressure).
Check the Yellow Line: The EMA of momentum.
If the bars consistently stay above the line, short-term momentum is stronger than its recent average.
If the bars dip below the line, momentum is weakening relative to its average.
Review the Table: Quick snapshot of each symbol’s daily percentage change plus the total basket momentum, all color-coded red or green.
Caution & Tips
This indicator measures rate of change, not absolute price levels. A rising momentum can still be part of a larger downtrend.
Always combine momentum readings with other technical and/or fundamental signals for confirmation.
For better reliability, experiment with different smoothing lengths to suit your trading style (shorter for scalping, longer for swing or positional approaches).
VWAP Valuation Model | JeffreyTimmermansVWAP Valuation Model
This indicator provides a powerful tool for traders looking to assess the value of an asset based on the VWAP (Volume Weighted Average Price) and the z-score. The VWAP Valuation Model is designed to give insights into the overbought or oversold condition of an asset by comparing the current price to a volume-weighted average over a defined period.
Key Features:
VWAP Baseline: The indicator calculates a volume-weighted moving average of the price, which serves as the core reference line for price analysis.
Z-Score: The z-score is calculated to determine how far the current price deviates from the mean, adjusted for volatility. This score helps identify overbought and oversold conditions.
Smoothing Option: Optionally, the indicator can be smoothed for better visualization, with the smoothing length being adjustable.
Real-time Data: The indicator provides real-time insights for multiple assets, such as Bitcoin (BTCUSD), Ethereum (ETHUSD), and Solana (SOLUSD), and can take the broader market performance (like the total crypto market) into account.
Z-Score Table: The indicator features an interactive table that provides valuable information on the z-scores of selected assets, allowing traders to quickly get an overview of market conditions. The table is strategically positioned above the chart for maximum visibility without interfering with the chart data.
Usage:
Overbought/Oversold: A z-score above +1.5 indicates overvaluation (overbought), while a score below -1.5 indicates undervaluation (oversold). This indicator helps in making informed trading decisions.
VWAP Range: The indicator offers a visual representation of the VWAP range, crucial for understanding price trends and market dynamics.
This indicator is ideal for investors interested in fundamental analysis while also needing technical insights to identify buy and sell opportunities. It helps to objectively assess market valuation and make well-informed decisions.
Important Note: This indicators works only in mean-reverting markets, not trending periods.
-Jeffrey
ForecastPro by BinhMyco1. Overview:
This Pine Script implements a custom forecasting tool on TradingView, labeled "BinhMyco." It provides a method to predict future price movements based on historical data and a comparison with similar historical patterns. The script supports two types of forecasts: **Prediction** and **Replication**, where the forecasted price can be either based on price peaks/troughs or an average direction. The script also calculates a confidence probability, showing how closely the forecasted data aligns with historical trends.
2. Inputs:
- Source (`src`): The input data source for forecasting, which defaults to `open`.
- Length (`len`): The length of the training data used for analysis (fixed at 200).
- Reference Length (`leng`): A fixed reference length for comparing similar historical patterns (set to 70).
- Forecast Length (`length`): The length of the forecast period (fixed at 60).
- Multiplier (`mult`): A constant multiplier for the forecast confidence cone (set to 4.0).
- Forecast Type (`typ`): Type of forecast, either **Prediction** or **Replication**.
- Direction Type (`dirtyp`): Defines how the forecast is calculated — either based on price **peaks/troughs** or an **average direction**.
- Forecast Divergence Cone (`divcone`): A boolean option to enable the display of a confidence cone around the forecast.
3. Color Constants:
- Green (`#00ffbb`): Color used for upward price movements.
- Red (`#ff0000`): Color used for downward price movements.
- Reference Data Color (`refcol`): Blue color for the reference data.
- Similar Data Color (`simcol`): Orange color for the most similar data.
- Forecast Data Color (`forcol`): Yellow color for forecasted data.
4. Error Checking:
- The script checks if the reference length is greater than half the training data length, and if the forecast length exceeds the reference length, raising errors if either condition is true.
5. Arrays for Calculation:
- Correlation Array (`c`): Holds the correlation values between the data source (`src`) and historical data points.
- Index Array (`index`): Stores the indices of the historical data for comparison.
6. Forecasting Logic:
- Correlation Calculation: The script calculates the correlation between the historical data (`src`) and the reference data over the given reference length. It then identifies the point in history most similar to the current data.
- Forecast Price Calculation: Based on the type of forecast (Prediction or Replication), the script calculates future prices either by predicting based on similar bars or by replicating past data. The forecasted prices are stored in the `forecastPrices` array.
- Forecast Line Drawing: The script draws lines to represent the forecasted price movements. These lines are color-coded based on whether the forecasted price is higher or lower than the current price.
7. Divergence Cone (Optional):
- If the **divcone** option is enabled, the script calculates and draws a confidence cone around the forecasted prices. The upper and lower bounds of the cone are calculated using a standard deviation factor, providing a visual representation of forecast uncertainty.
8. Probability Table:
- A table is displayed on the chart, showing the probability of the forecast being accurate. This probability is calculated using the correlation between the current data and the most similar historical pattern. If the probability is positive, the table background turns green; if negative, it turns red. The probability is presented as a percentage.
9. Key Functions:
- `highest_range` and `lowest_range`: Functions to find the highest and lowest price within a range of bars.
- `ftype`: Determines the forecast type (Prediction or Replication) and adjusts the forecasting logic accordingly.
- `ftypediff`: Computes the difference between the forecasted and actual prices based on the selected forecast type.
- `ftypelim`, `ftypeleft`, `ftyperight`: Additional functions to adjust the calculation of the forecast based on the forecast type.
10. Conclusion:
The "ForecastPro" script is a unique tool for forecasting future price movements on TradingView. It compares historical price data with similar historical trends to generate predictions. The script also offers a customizable confidence cone and displays the probability of the forecast's accuracy. This tool provides traders with valuable insights into future price action, potentially enhancing decision-making in trading strategies.
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This script provides advanced functionality for traders who wish to explore price forecasting, and can be customized to fit various trading styles.
Intrabar BoxPlotThe Intrabar BoxPlot publication highlights an uncommon technique by displaying statistical intrabar Lower Timeframe (LTF) values on the chart.
🔶 USAGE
🔹 Middle 50% Boxes
By showing the middle 50% intrabar values through a box, we can more easily see where the intrabar activity is mainly situated.
The middle 50% intrabar values are referred to from here on as Interquartile range (IQR).
In this example, the successive IQRs form a channel where the price eventually breaks out.
Disproportionately distributed values can give insights which can be used to find potential support/resistance areas.
IQR gaps can give valuable information as well. Potentially, the price can return to these gaps.
Seeing the IQR areas against regular candles gives an alternative image of the underlying price movements.
🔹 Highest volume Price level
The script displays the price level with the highest volume situated, dependable on the user's source setting. Setting the source at 'close' will only display intrabar close values; the same goes for high, low, ...
As seen in the above example, the volume levels can aid in finding support/resistance.
🔹 Median
The location of the median off all intrabar values is displayed as a coloured dot: green when the close price is higher than the opening price and red if otherwise. The median can give valuable insights into price movements.
🔹 Outliers
Medium (white dots) and extreme (white X) outliers, in combination with the IQR box, can help identify potential areas of interest.
🔹 Volume Delta
When there is a discrepancy between the delta volume and direction of the candle, this will be displayed as follows:
Green candle: when the sum of the volume of red intrabars is higher than the sum of the volume of green intrabars, the candle will be coloured orange.
Red candle: when the sum of the volume of green intrabars is higher than the sum of the volume of red intrabars, the candle will be coloured blue.
🔹 Highlight Boxplot only
Probably the easiest way to display boxplot only is by changing the Bar's style to Bars .
🔶 DETAILS
All intrabar values (Lower TimeFrame - LTF) are sorted and evaluated. Values can be close , high , low , ... by selecting this in Settings ( source ).
The middle 50% of all values are displayed as a box; this contains the values between percentile 25 (p25) and percentile 75 (p75). The value of percentile rank 75 means 75% of all values are lower. The value of percentile rank 25 means 25% of all values are lower, or 75% is higher.
The difference between p75 and p25 is also known as Interquartile range (IQR)
IQR is used to check for outliers.
Wiki: Boxplot , Interquartile range
Extreme high: maximum value, higher than p75 + IQR*3
Max outlier high: maximum value, higher than p75 + IQR*1.5 but lower than p75 + IQR*3
Max: maximum value, lower than p75 + IQR*1.5
Min: minimum value, higher than p25 - IQR*1.5
Min outlier low: minimum value, lower than p25 - IQR*1.5 but higher than p25 - IQR*3
Extreme low: minimum value, lower than p25 - IQR*3
Max and min must not be interpreted with the current candle high/low.
🔹 Example: Length of chart-puppets
The following example can make it easier to digest. Forty "chart-puppets" are sorted by their length.
The p25 value is 97
The p50 value is 120
The p75 value is 149
75% of all "chart-puppets" are smaller than p75, and 25% is larger than p75.
50% of all "chart-puppets" are smaller than p50, and 50% is larger than p50 (= median).
25% of all "chart-puppets" are smaller than p25, and 75% is larger than p25.
IQR = 149 - 97 = 52
Extreme outlier limit max: p75 + IQR*3 = 149 + 52*3 = 305
Mild outlier limit max: p75 + IQR*1.5 = 149 + 52*1.5 = 227
Mild outlier limit min: p25 - IQR*1.5 = 97 - 52*1.5 = 19
Extreme outlier limit min: p25 - IQR*3 = 97 - 52*3 = -59
In this example there are no outliers to be found, all values are located between p25 - IQR*1.5 (19) and p75 + IQR*1.5. (227)
🔹 Source settings
Note that results are dependable on the chosen source (settings). When, for example, close is chosen as the source, only intrabar close prices are included. This means a low or high can stretch further then the min or max.
Here we can see different results with different source settings
🔹 LTF settings
When 'Auto' is enabled (Settings, LTF), the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure TradingView plans lower than Premium don't get an error.
Examples with current Daily TF (when Premium is enabled):
500 : 3 minute LTF
1500 (default): 1 minute LTF
5000: 30 seconds LTF (1 minute if Premium is disabled)
🔶 SETTINGS
Source: Set source at close, high, low,...
🔹 LTF
LTF: LTF setting
Auto + multiple: Adjusts the initial set LTF
Premium: Enable when your TradingView plan is Premium or higher
🔹 Intrabar Delta : Colors, dependable on different circumstances.
Up: Price goes up, with more bullish than bearish intrabar volume.
Up-: Price goes up, with more bearish than bullish intrabar volume.
Down: Price goes down, with more bearish than bullish intrabar volume.
Down+: Price goes down, with more bullish than bearish intrabar volume.
🔹 Table
Show table: Show details at the top right corner
Show TF: Show LTF at the bottom right corner
Text color/table size
See DETAILS for more information
Smart DCA Strategy (Public)INSPIRATION
While Dollar Cost Averaging (DCA) is a popular and stress-free investment approach, I noticed an opportunity for enhancement. Standard DCA involves buying consistently, regardless of market conditions, which can sometimes mean missing out on optimal investment opportunities. This led me to develop the Smart DCA Strategy – a 'set and forget' method like traditional DCA, but with an intelligent twist to boost its effectiveness.
The goal was to build something more profitable than a standard DCA strategy so it was equally important that this indicator could backtest its own results in an A/B test manner against the regular DCA strategy.
WHY IS IT SMART?
The key to this strategy is its dynamic approach: buying aggressively when the market shows signs of being oversold, and sitting on the sidelines when it's not. This approach aims to optimize entry points, enhancing the potential for better returns while maintaining the simplicity and low stress of DCA.
WHAT THIS STRATEGY IS, AND IS NOT
This is an investment style strategy. It is designed to improve upon the common standard DCA investment strategy. It is therefore NOT a day trading strategy. Feel free to experiment with various timeframes, but it was designed to be used on a daily timeframe and that's how I recommend it to be used.
You may also go months without any buy signals during bull markets, but remember that is exactly the point of the strategy - to keep your buying power on the sidelines until the markets have significantly pulled back. You need to be patient and trust in the historical backtesting you have performed.
HOW IT WORKS
The Smart DCA Strategy leverages a creative approach to using Moving Averages to identify the most opportune moments to buy. A trigger occurs when a daily candle, in its entirety including the high wick, closes below the threshold line or box plotted on the chart. The indicator is designed to facilitate both backtesting and live trading.
HOW TO USE
Settings:
The input parameters for tuning have been intentionally simplified in an effort to prevent users falling into the overfitting trap.
The main control is the Buying strictness scale setting. Setting this to a lower value will provide more buying days (less strict) while higher values mean less buying days (more strict). In my testing I've found level 9 to provide good all round results.
Validation days is a setting to prevent triggering entries until the asset has spent a given number of days (candles) in the overbought state. Increasing this makes entries stricter. I've found 0 to give the best results across most assets.
In the backtest settings you can also configure how much to buy for each day an entry triggers. Blind buy size is the amount you would buy every day in a standard DCA strategy. Smart buy size is the amount you would buy each day a Smart DCA entry is triggered.
You can also experiment with backtesting your strategy over different historical datasets by using the Start date and End date settings. The results table will not calculate for any trades outside what you've set in the date range settings.
Backtesting:
When backtesting you should use the results table on the top right to tune and optimise the results of your strategy. As with all backtests, be careful to avoid overfitting the parameters. It's better to have a setup which works well across many currencies and historical periods than a setup which is excellent on one dataset but bad on most others. This gives a much higher probability that it will be effective when you move to live trading.
The results table provides a clear visual representation as to which strategy, standard or smart, is more profitable for the given dataset. You will notice the columns are dynamically coloured red and green. Their colour changes based on which strategy is more profitable in the A/B style backtest - green wins, red loses. The key metrics to focus on are GOA (Gain on Account) and Avg Cost.
Live Trading:
After you've finished backtesting you can proceed with configuring your alerts for live trading.
But first, you need to estimate the amount you should buy on each Smart DCA entry. We can use the Total invested row in the results table to calculate this. Assuming we're looking to trade on
BTCUSD
Decide how much USD you would spend each day to buy BTC if you were using a standard DCA strategy. Lets say that is $5 per day
Enter that USD amount in the Blind buy size settings box
Check the Blind Buy column in the results table. If we set the backtest date range to the last 10 years, we would expect the amount spent on blind buys over 10 years to be $18,250 given $5 each day
Next we need to tweak the value of the Smart buy size parameter in setting to get it as close as we can to the Total Invested amount for Blind Buy
By following this approach it means we will invest roughly the same amount into our Smart DCA strategy as we would have into a standard DCA strategy over any given time period.
After you have calculated the Smart buy size, you can go ahead and set up alerts on Smart DCA buy triggers.
BOT AUTOMATION
In an effort to maintain the 'set and forget' stress-free benefits of a standard DCA strategy, I have set my personal Smart DCA Strategy up to be automated. The bot runs on AWS and I have a fully functional project for the bot on my GitHub account. Just reach out if you would like me to point you towards it. You can also hook this into any other 3rd party trade automation system of your choice using the pre-configured alerts within the indicator.
PLANNED FUTURE DEVELOPMENTS
Currently this is purely an accumulation strategy. It does not have any sell signals right now but I have ideas on how I will build upon it to incorporate an algorithm for selling. The strategy should gradually offload profits in bull markets which generates more USD which gives more buying power to rinse and repeat the same process in the next cycle only with a bigger starting capital. Watch this space!
MARKETS
Crypto:
This strategy has been specifically built to work on the crypto markets. It has been developed, backtested and tuned against crypto markets and I personally only run it on crypto markets to accumulate more of the coins I believe in for the long term. In the section below I will provide some backtest results from some of the top crypto assets.
Stocks:
I've found it is generally more profitable than a standard DCA strategy on the majority of stocks, however the results proved to be a lot more impressive on crypto. This is mainly due to the volatility and cycles found in crypto markets. The strategy makes its profits from capitalising on pullbacks in price. Good stocks on the other hand tend to move up and to the right with less significant pullbacks, therefore giving this strategy less opportunity to flourish.
Forex:
As this is an accumulation style investment strategy, I do not recommend that you use it to trade Forex.
For more info about this strategy including backtest results, please see the full description on the invite only version of this strategy named "Smart DCA Strategy"
ATR/DTR with Custom Percentage DisplayThis Pine Script indicator provides a detailed view of the Average True Range (ATR) and Daily True Range (DTR), along with additional calculated metrics to assist in analyzing price volatility. The key features of the indicator include:
ATR Calculation:
The ATR is calculated over a user-defined timeframe, allowing traders to assess average market volatility over a specific period.
DTR Calculation:
The DTR represents the absolute range (high - low) of the current or chosen timeframe, providing insights into the day's price movement.
ATR/DTR Percentage:
This metric calculates the DTR as a percentage of the ATR, showing how the daily range compares to the average range, with dynamic coloring to highlight when it exceeds a user-defined threshold.
Custom Percentage of ATR:
Users can input a custom percentage to calculate and display a corresponding value of the ATR. For example, entering 15% will compute and display 15% of the ATR in the indicator’s table.
Dynamic Table Display:
The indicator outputs all these metrics in a well-organized table that is overlaid on the chart. The table includes:
ATR
DTR
ATR/DTR percentage
The user-defined percentage of ATR
Customizable Features:
Color Coding: The table dynamically changes its background color when the ATR/DTR percentage exceeds a user-defined threshold.
Placement Options: The table's position on the chart can be adjusted (e.g., bottom-right, top-center) for optimal visibility.
Use Case:
This indicator is ideal for traders who want a deeper understanding of market volatility and prefer visual representation of how current price movements compare to historical averages. It is especially useful for:
Setting volatility-based stop-loss levels.
Identifying high-volatility trading opportunities.
Tailoring strategies around price movement patterns.
Price Delivery Bias @MaxMaserati Price Delivery Bias (PDB) Indicator @ MaxMaserati
The Price Delivery Bias (PDB) indicator is a powerful tool designed to identify and track market structure shifts through price action analysis. It helps traders identify potential trend changes and continuation patterns by monitoring price delivery sequences.
Key Features:
- Automatically detects and labels Change of Delivery Long (CDL) and Change of Delivery Short (CDS) points
- Tracks subsequent Delivery sequences (LD1, LD2, LD3... for longs; SD1, SD2, SD3... for shorts)
- Dynamic support and resistance lines for active buyers and sellers
- Real-time bias status display with delivery count
- Customizable colors and display options
How It Works:
The indicator analyzes price action using fractal patterns to identify significant structural points where the market bias changes or continues. When price breaks above a key level, it marks a CDL (Change of Delivery Long), followed by subsequent long deliveries (LD1, LD2, etc.). Similarly, breaks below key levels are marked as CDS (Change of Delivery Short), followed by short deliveries (SD1, SD2, etc.).
Use Cases:
- Trend Direction: Identify potential trend changes through CDL and CDS signals
- Trend Strength: Monitor delivery sequences (LD/SD count) to gauge trend strength
- Support/Resistance: Track active buyer and seller levels
- Trade Management: Use delivery sequences for managing entries, stops, and targets
Customization Options:
- Adjust the look back period for structure detection
- Customize colors for long and short bias signals
- Toggle label visibility for CDL/CDS and delivery sequences
- Modify text size for better visibility
- Show/hide buyer and seller lines
- Customize table position and appearance
Settings Guide:
1. Length: Determines the look back period for structure detection (default: 5)
2. CDL/CDS Colors: Set colors for bullish and bearish signals
3. Label Controls: Toggle visibility of CDL/CDS and delivery labels
4. Text Size: Choose between Tiny, Small, and Normal for label text
5. Buyer/Seller Lines: Toggle and customize dashed lines showing active levels
6. Bias Table: Configure position and visibility of the status table
#### Pro Tips:
- Use the delivery count to gauge trend strength - higher counts often indicate stronger trends
- Watch for bias changes (CDL/CDS) after extended delivery sequences
- Combine with volume and momentum indicators for confirmation
- Use buyer/seller lines as dynamic support/resistance levels
- Monitor label sequences for potential exhaustion points
#### Notes:
- The indicator works best on higher timeframes (1H and above)
- Signals are more reliable in trending markets
- Multiple delivery sequences often indicate strong trend continuations
- Consider using with other indicators for confirmation
This indicator is ideal for both trend traders and swing traders who want to understand market structure and bias through price action analysis. It provides clear visual cues for potential trend changes and continuation patterns while offering extensive customization options to suit different trading styles.
Weekly Opening Range and Previous Data for FuturesThis indicator will not predict future price action.
This indicator is a time based range tool. These types of tools are great to use when there is not any historical data to look back on (as in all time highs/lows). The user can use this indicator to measure distributions, use deviations of the range to identify support/resistance levels, and see how historical price action influences current price action. This indicator is unique because it uses the price range from the open of the futures market on Sunday 18:00 America/New York to the open of the Bond Market 8:00 America/New York as the range for all calculations.
This indicator collects the multiple points of data from each day of the week, and gives the user many options on how to use the data that is collected. The amount of data collected is based on the time frame of the chart (best used on a 15 minute chart), but is limited to 30 minute charts.
Data Collected:
Opening Range for the week
High of Each Day
Low of Each Day
Close of Each Day
Initially the range is plotted on the chart as a box, when the Bond market opens the high/low/mid is plotted, as well as the current week open and previous week close.
How the data is used.
Intraday: Monday does not have a previous day to pull data on, so all data for Monday is intraday data. When a new high is made, the indicator will search all previous data in the lookback period for the current day , find all highs that are within a set variance (determined by the user), and plot the corresponding lows from the matching days. It will do the same for new lows that are made, with corresponding historical highs. All of these levels are plotted on the chart, as well as the Average High, Average Low. If price moves beyond either Average, the Average of all days that distributed higher than the Average is plotted on the chart as Min/Max Average.
Previous Day Data: Tuesday - Friday. After the close of the day, the user has the option to choose either the High, Low, or Close of that day to find previous data that matches within a variance determined by the user; or an option to find the n closest matches (up to 20). That data is then matched to the corresponding next day data and plotted on the chart as a box. Example: Monday closes at +1 Deviation (Dev) of the Weekly Opening Range (WOR). The user sets the variance at 0.5 (0.5 Dev of the WOR), the indicator will search the lookback period for all Mondays that closed between 1.25 Dev and 0.75 Dev of the WOR. The matching Mondays will then be matched to their corresponding Tuesdays and the data for the High and Low from those Tuesdays will be placed on the chart as a box overlaying the current Tuesday. Each match is numbered so that corresponding Highs and Lows of each historical day can be identified. The same can be done for either the High or Low of the Previous Day.
The indicator has a table that can be shown.
Data shown in table:
Current Extension of the WOR
Maximum Extension of the WOR
Average WOR in %
Current WOR in %
Average Range for the day in % based on data set
Current Range for the day in %
Number of days in the data set
Number of Previous Day Matches
Variance for previous day data
Number of Intraday High Matches
Number of Intraday Low Matches
Variance for Intraday Matches
The table as well as all lines and boxes have the option of being shown or not, as well as have their settings customized to fit the users chart layout.
As with any indicator, do not let the data shown change your trading model. Past performance is not indicative to future performance.
