Effective Volume (ADV) v3Effective Volume (ADV) v3: Enhanced Accumulation/Distribution Analysis Tool
This indicator is an updated version of the original script by cI8DH, now upgraded to Pine Script v5 with added functionality, including the Volume Multiple feature. The tool is designed for analyzing Accumulation/Distribution (A/D) volume, referred to here as "Effective Volume," which represents the volume impact in alignment with price direction, providing insights into bullish or bearish trends through volume.
Accumulation/Distribution Volume Analysis : The script calculates and visualizes Effective Volume (ADV), helping traders assess volume strength in relation to price action. By factoring in bullish or bearish alignment, Effective Volume highlights points where volume strongly supports price movements.
Volume Multiple Feature for Volume Multiplication : The Volume Multiple setting (default value 2) allows you to set a multiplier to identify bars where Effective Volume exceeds the previous bar’s volume by a specified factor. This feature aids in pinpointing significant shifts in volume intensity, often associated with potential trend changes.
Customizable Aggregation Types : Users can choose from three volume aggregation types:
Simple - Standard SMA (Simple Moving Average) for averaging Effective Volume
Smoothed - RMA (Recursive Moving Average) for a less volatile, smoother line
Cumulative - Accumulated Effective Volume for ongoing trend analysis
Volume Divisor : The “Divide Vol by” setting (default 1 million) scales down the Effective Volume value for easier readability. This allows Effective Volume data to be aligned with the scale of the price chart.
Visualization Elements
Effective Volume Columns : The Effective Volume bar plot changes color based on volume direction:
Green Bars : Bullish Effective Volume (volume aligns with price movement upwards)
Red Bars : Bearish Effective Volume (volume aligns with price movement downwards)
Moving Average Lines :
Volume Moving Average - A gray line representing the moving average of total volume.
A/D Moving Average - A blue line showing the moving average of Accumulation/Distribution (A/D) Effective Volume.
High ADV Indicator : A “^” symbol appears on bars where the Effective Volume meets or exceeds the Volume Multiple threshold, highlighting bars with significant volume increase.
How to Use
Analyze Accumulation/Distribution Trends : Use Effective Volume to observe if bullish or bearish volume aligns with price direction, offering insights into the strength and sustainability of trends.
Identify Volume Multipliers with Volume Multiple : Adjust Volume Multiple to track when Effective Volume has notably increased, signaling potential shifts or strengthening trends.
Adjust Volume Display : Use the volume divisor setting to scale Effective Volume for clarity, especially when viewing alongside price data on higher timeframes.
With customizable parameters, this script provides a flexible, enhanced perspective on Effective Volume for traders analyzing volume-based trends and reversals.
Indicadores y estrategias
Salman Indicator: Multi-Purpose Price ActionSalman Indicator: Multi-Purpose Price Action Tool for Pin Bars, Breakouts, and VWAP Anchoring
This indicator provides a comprehensive suite of price action insights, designed for active traders looking to identify key market structures and potential reversals. The script incorporates a Quarterly VWAP for trend bias, marks pin bars for possible reversal points, highlights outside bars for volatility signals, and indicates simple breakouts and pivot-level breaks. Customizable settings allow for flexibility in various trading styles, with default settings optimized for daily charts.
Outside Bars : Represented by an ⤬ symbol on the chart, these indicate bars where the current high is greater than the previous bar’s high, and the low is lower than the previous bar’s low, signaling high volatility and potential market reversals.
Pin Bars : Denoted by a small dot at the top or bottom of a candle’s wick, these are crucial signals of potential reversal areas. Pin bars are identified based on the percentage length of their shadows, with adjustable strictness in settings.
Quarterly VWAP : The light blue line on the chart represents the VWAP (Volume-Weighted Average Price), which is anchored to the Quarterly period by default. The VWAP acts as a directional bias filter, helping you to determine underlying market trends. This period, source, and offset are fully adjustable in the script’s settings.
Simple Breaks : Hollow candles on the chart indicate "simple breaks," defined when the current bar closes above the previous high or below the previous low. This is an effective way to highlight directional momentum in the market.
Bonus Pivot Breaks : The tilde symbol ~ appears when the price closes above or below prior pivot high/low levels, helping traders spot significant breakout or breakdown points relative to recent pivots.
Alerts
Simple Breaks : Alerts you when a breakout occurs beyond the previous bar’s high or low. Pin Bars : Notifies you of potential reversal points as indicated by bullish or bearish pin bars. Outside Bars : Triggers an alert whenever an outside bar is detected, indicating possible volatility changes.
How to Use
VWAP for Trend Bias : Use the Quarterly VWAP line to gauge overall market trend, with settings that allow adjustment to daily, weekly, monthly, or even larger time frames.
Pin Bars for Reversal Potential : Look for the dot markers on candle wicks, where the strictness of the pin bar detection can be adjusted via settings to match your trading preference.
Simple and Pivot Breaks for Momentum : Watch for hollow candles and the tilde symbol ~ as indicators of potential breakout momentum and pivot break levels, respectively.
This script can serve traders on multiple timeframes, from daily to weekly and beyond. The flexible configuration allows for adjustments in VWAP anchoring and pin bar criteria, providing a tailored fit for individual trading strategies.
Cumulative Volume Delta Custom AlertDescription
This script calculates and visualizes the Cumulative Volume Delta (CVD) on multiple timeframes, enabling traders to monitor volume-based price action dynamics. The CVD is calculated based on up and down volume approximations and displayed as a candle plot, with color-coded alerts when significant changes occur.
Key Features:
Multi-Timeframe Analysis: The script uses a customizable anchor period and a lower timeframe for scanning, allowing it to capture more granular volume movements.
Volume-Based Trend Detection: Plots CVD candles with color indicators (teal for increasing volume delta, red for decreasing), helping traders to visually track volume trends.
Dynamic Alerts for Volume Shifts:
Triggers an alert when there is a significant (over 25%) change in CVD between consecutive periods.
The alert marker color adapts based on the current CVD value:
Blue when the current CVD is positive.
Yellow when the current CVD is negative.
Markers are placed above bars for volume increases and below for volume decreases, simplifying visual analysis.
Customizable Background Highlight: Adds a background highlight to emphasize significant CVD changes.
Use Cases:
Momentum Detection: Traders can use alerts on large volume delta changes to identify potential trend reversals or continuation points.
Volume-Driven Analysis: CVD helps distinguish buy and sell pressure across different timeframes, ideal for volume-based strategies.
How to Use
Add the script to your TradingView chart.
Configure the anchor and lower timeframes in the input settings.
Set up alerts to receive notifications when a 25% change in CVD occurs, with color-coded markers for easy identification.
Chessboard Support & ResistanceThe “Chessboard Support & Resistance” indicator is designed to assist traders in visualizing key levels of support and resistance on a chart by employing ATR (Average True Range) to create dynamic horizontal zones. This indicator automatically plots robust support and resistance bands that can help identify potential areas where price may reverse, consolidate, or react. These levels are particularly beneficial for traders who employ concepts like Smart Money analysis, as they illustrate zones where institutional trading activity might occur.
How It Works:
• The indicator uses ATR-based calculations to determine the placement of the support and resistance zones. This approach accounts for market volatility, making the zones adaptive to changing conditions.
• The Zone Thickness parameter allows users to customize the width of the plotted zones, enhancing visibility and fitting them to their specific trading style.
• The support and resistance zones extend horizontally across the chart, providing clear reference points for potential price reactions.
Practical Application:
• Trend Analysis: Identify areas of significant price resistance and support to understand potential turning points or trends in the market.
• Risk Management: Use these zones to better inform stop-loss placements or set profit targets.
• Confirmation Tool: Combine the indicator with other technical analysis tools for confirmation of potential trade entries or exits.
Customization Options:
• Change the colors of the support and resistance zones for better integration with different chart themes.
• Adjust the ATR Length and Multiplier to fine-tune the sensitivity of the zones based on personal preferences and the characteristics of the asset being analyzed.
Disclaimer:
This indicator is for educational and informational purposes only. It is not intended to serve as investment advice or a recommendation to buy or sell any financial instrument. Always perform your own research and consider consulting with a financial professional before making trading decisions. Trading involves significant risk, and past performance does not guarantee future results.
VolWRSI### Description of the `VolWRSI` Script
The `VolWRSI` script is a TradingView Pine Script indicator designed to provide a volume-weighted Relative Strength Index (RSI) combined with abnormal activity detection in both volume and price. This multi-faceted approach aims to enhance trading decisions by identifying potential market conditions influenced by both price movements and trading volume.
#### Key Features
1. **Volume-Weighted RSI Calculation**:
- The core of the script calculates a volume-weighted RSI, which gives more significance to price movements associated with higher volume. This helps traders understand the strength of price movements more accurately.
2. **Abnormal Activity Detection**:
- The script includes calculations for abnormal volume and price changes using standard deviation (SD) multiples. This feature alerts traders to potential unusual activity, which could indicate upcoming volatility or market manipulation.
3. **Market Structure Filtering**:
- The script assesses market structure by identifying pivot highs and lows, allowing for better contextual analysis of price movements. This includes identifying bearish and bullish divergences, which can signal potential reversals.
4. **Color-Coded Signals**:
- The indicator visually represents market conditions using different bar colors for various scenarios, such as bearish divergence, likely price manipulation, and high-risk moves on low volume. This allows traders to quickly assess market conditions at a glance.
5. **Conditional Signal Line**:
- The signal line is displayed only when institutional activity conditions are met, remaining hidden otherwise. This adds an extra layer of filtering to prevent unnecessary signals, focusing only on significant market moves.
6. **Overbought and Oversold Levels**:
- The script defines overbought and oversold thresholds, enhancing the trader's ability to spot potential reversal points. Color gradients help visually distinguish between these critical levels.
7. **Alerts**:
- The script includes customizable alert conditions for various market signals, including abnormal volume spikes and RSI crossings over specific thresholds. This keeps traders informed in real-time, enhancing their ability to act promptly.
#### Benefits of Using the `VolWRSI` Script
- **Enhanced Decision-Making**: By integrating volume into the RSI calculation, the script helps traders make more informed decisions based on the strength of price movements rather than price alone.
- **Early Detection of Market Manipulation**: The abnormal activity detection can help traders identify potentially manipulative market behavior, allowing them to act or adjust their strategies accordingly.
- **Visual Clarity**: The use of color-coding and graphical elements (such as shapes and fills) provides clear visual cues about market conditions, which can be especially beneficial for traders who rely on quick visual assessments.
- **Risk Management**: The identification of high-risk low-volume moves helps traders manage their exposure better, potentially avoiding trades that may lead to unfavorable outcomes.
- **Reduced Noise with Institutional Activity Filtering**: The conditional signal line only plots when institutional activity conditions are detected, providing higher confidence in signals by excluding lower-conviction setups.
- **Customization**: With adjustable parameters for length, thresholds, and colors, traders can tailor the script to their specific trading styles and preferences.
Overall, the `VolWRSI` script combines technical analysis tools in a coherent framework, aiming to provide traders with deeper insights into market dynamics and higher-quality trade signals, potentially leading to more profitable trading decisions.
Dynamic Trading Strategy with Key Levels, Entry/Exit ManagementThis indicator provides a complete rule-based trading system, combining key levels, entry conditions, stop loss (SL), and take profit (TP) management. It’s designed to dynamically adapt to market conditions by identifying crucial support and resistance zones, determining entry points based on price action and volume, and calculating risk-based exit targets.
Key Features
Key Level Identification:
The indicator automatically identifies support and resistance levels based on recent price highs and lows within a customizable lookback period.
It adds a dynamic buffer around these levels using the Average True Range (ATR) to account for market volatility, ensuring the zones adjust to changing conditions.
Entry Conditions:
Bullish Entry: Triggers near the support zone when there’s upward price action, confirmed by volume spikes and bullish candlestick patterns (e.g., hammers, engulfing candles).
Bearish Entry: Triggers near the resistance zone when signs of rejection appear, confirmed by volume spikes and bearish candlestick patterns (e.g., shooting stars, bearish engulfing).
Entry zones are highlighted visually on the chart using green (bullish) and red (bearish) shaded boxes.
Stop Loss (SL) and Take Profit (TP):
Stop Loss: Calculated based on ATR multipliers, allowing you to set a volatility-adjusted risk level beyond the entry range.
Take Profit: Includes two profit-taking levels (TP1 and TP2), allowing for partial position exits. TP levels are calculated based on a reward-to-risk ratio, ensuring consistent profitability targets.
SL and TP levels are clearly marked with horizontal lines and labeled as SL, TP1, and TP2, helping you manage trade exits effectively.
Market Context Adaptability:
The indicator adapts to both trending and ranging market conditions. In trending markets, it favors trades that follow the trend, while in ranging markets, it focuses on reversals within the range boundaries.
Visual Aids:
Entry zones are highlighted with shaded boxes to indicate potential buy/sell regions.
SL, TP1, and TP2 levels are clearly drawn with labels, allowing for easy identification of exit points.
How to Use
Identify Key Levels: Look for support and resistance zones highlighted by the indicator on your chart.
Wait for Entry Conditions: When the price enters the entry range (marked by green or red boxes), wait for confirmation signals—such as volume spikes and candlestick patterns.
Manage Exits: Use the SL, TP1, and TP2 levels for structured trade management. Consider scaling out partially at TP1 and exiting fully at TP2.
Ideal For:
This indicator is suitable for traders who prefer a systematic approach to trading, with clear entry and exit rules. It is particularly helpful for those looking to balance risk and reward with well-defined take profit and stop loss levels.
Checkmate Multi-timeframe Trend Analysis [Rogers1906]The “Checkmate Multi-timeframe Trend Analysis ” is a comprehensive Pine Script™-based indicator designed to enhance technical trading strategies by integrating multiple technical analysis components. This tool serves as a robust companion for traders aiming to identify trends, shifts in momentum, and potential buy/sell signals with greater confidence. The tool applies various technical concepts such as moving averages, supply and demand zones, momentum oscillators, and linear regression for trend forecasting.
Components and Features:
1. EMA Line:
• Definition: The indicator calculates a 7-period Exponential Moving Average (EMA) to track the current positioning of price in relation to its recent average.
• Purpose: The EMA provides insights into the short-term trend direction and potential support/resistance levels.
2. Supply and Demand Zones:
• Definition: Uses a 20-period lookback to identify recent highs (supply) and recent lows (demand), which are plotted on the chart as zones.
• Purpose: These zones represent critical price levels where potential reversals or breakouts may occur, assisting in anticipating significant market movements.
3. Candle Coloring Based on Stochastic RSI and Williams %R:
• Definition: Changes the color of candles according to overbought/oversold conditions detected by the Stochastic RSI and Williams %R indicators.
• Purpose: Candle colors reflect current market sentiment, helping traders quickly identify key moments for entering or exiting trades based on momentum shifts.
• Color Definitions:
• Color 0 (Change of Momentum): Indicates a potential shift or pause in momentum.
• Color 1 (Bearish Reversal): Signals a reversal pattern to a bearish trend.
• Color 2 (Bullish Reversal): Signals a reversal pattern to a bullish trend.
• Color 3 (Bullish Confirmation Candle): Confirms continued bullish momentum.
• Color 4 (Bearish Confirmation Candle): Confirms continued bearish momentum.
4. Machine Learning Trendline:
• Definition: A linear regression line serves as a simplified machine learning trend estimator plotted over a user-defined period.
• Purpose: This line provides a visual cue for understanding overall price direction and trend strength, aiding in the anticipation of future price action.
5. Slingshot Momentum Tracker:
• Definition: Utilizes a Rate of Change (ROC) indicator to track momentum shifts, displaying buy/sell points when the momentum crosses the zero line.
• Purpose: Marks potential buy or sell moments, visually indicated on the chart, to help traders make timely decisions based on market momentum changes.
Disclaimer:
This indicator is designed for educational and informational purposes only and should not be considered as financial advice. Trading involves significant risk, and past performance does not guarantee future results. It is essential to perform your own due diligence before making any financial decisions. As markets shift, so must trading strategies. Use this tool as part of a comprehensive trading plan that includes risk management and continuous evaluation.
Price Percentage IndicatorPrice Percent for every candle. It shows percent above every candle. Shadows included
Williams %R - Multi TimeframeThis indicator implements the William %R multi-timeframe. On the 1H chart, the curves for 1H (with signal), 4H, and 1D are displayed. On the 4H chart, the curves for 4H (with signal) and 1D are shown. On all other timeframes, only the %R and signal are displayed. The indicator is useful to use on 1H and 4H charts to find confluence among the different curves and identify better entries based on their alignment across all timeframes. Signals above 80 often indicate a potential bearish reversal in price, while signals below 20 often suggest a bullish price reversal.
RBF Kijun Trend System [InvestorUnknown]The RBF Kijun Trend System utilizes advanced mathematical techniques, including the Radial Basis Function (RBF) kernel and Kijun-Sen calculations, to provide traders with a smoother trend-following experience and reduce the impact of noise in price data. This indicator also incorporates ATR to dynamically adjust smoothing and further minimize false signals.
Radial Basis Function (RBF) Kernel Smoothing
The RBF kernel is a mathematical method used to smooth the price series. By calculating weights based on the distance between data points, the RBF kernel ensures smoother transitions and a more refined representation of the price trend.
The RBF Kernel Weighted Moving Average is computed using the formula:
f_rbf_kernel(x, xi, sigma) =>
math.exp(-(math.pow(x - xi, 2)) / (2 * math.pow(sigma, 2)))
The smoothed price is then calculated as a weighted sum of past prices, using the RBF kernel weights:
f_rbf_weighted_average(src, kernel_len, sigma) =>
float total_weight = 0.0
float weighted_sum = 0.0
// Compute weights and sum for the weighted average
for i = 0 to kernel_len - 1
weight = f_rbf_kernel(kernel_len - 1, i, sigma)
total_weight := total_weight + weight
weighted_sum := weighted_sum + (src * weight)
// Check to avoid division by zero
total_weight != 0 ? weighted_sum / total_weight : na
Kijun-Sen Calculation
The Kijun-Sen, a component of Ichimoku analysis, is used here to further establish trends. The Kijun-Sen is computed as the average of the highest high and the lowest low over a specified period (default: 14 periods).
This Kijun-Sen calculation is based on the RBF-smoothed price to ensure smoother and more accurate trend detection.
f_kijun_sen(len, source) =>
math.avg(ta.lowest(source, len), ta.highest(source, len))
ATR-Adjusted RBF and Kijun-Sen
To mitigate false signals caused by price volatility, the indicator features ATR-adjusted versions of both the RBF smoothed price and Kijun-Sen.
The ATR multiplier is used to create upper and lower bounds around these lines, providing dynamic thresholds that account for market volatility.
Neutral State and Trend Continuation
This indicator can interpret a neutral state, where the signal is neither bullish nor bearish. By default, the indicator is set to interpret a neutral state as a continuation of the previous trend, though this can be adjusted to treat it as a truly neutral state.
Users can configure this setting using the signal_str input:
simple string signal_str = input.string("Continuation of Previous Trend", "Treat 0 State As", options = , group = G1)
Visual difference between "Neutral" (Bottom) and "Continuation of Previous Trend" (Top). Click on the picture to see it in full size.
Customizable Inputs and Settings:
Source Selection: Choose the input source for calculations (open, high, low, close, etc.).
Kernel Length and Sigma: Adjust the RBF kernel parameters to change the smoothing effect.
Kijun Length: Customize the lookback period for Kijun-Sen.
ATR Length and Multiplier: Modify these settings to adapt to market volatility.
Backtesting and Performance Metrics
The indicator includes a Backtest Mode, allowing users to evaluate the performance of the strategy using historical data. In Backtest Mode, a performance metrics table is generated, comparing the strategy's results to a simple buy-and-hold approach. Key metrics include mean returns, standard deviation, Sharpe ratio, and more.
Equity Calculation: The indicator calculates equity performance based on signals, comparing it against the buy-and-hold strategy.
Performance Metrics Table: Detailed performance analysis, including probabilities of positive, neutral, and negative returns.
Alerts
To keep traders informed, the indicator supports alerts for significant trend shifts:
// - - - - - ALERTS - - - - - //{
alert_source = sig
bool long_alert = ta.crossover (intrabar ? alert_source : alert_source , 0)
bool short_alert = ta.crossunder(intrabar ? alert_source : alert_source , 0)
alertcondition(long_alert, "LONG (RBF Kijun Trend System)", "RBF Kijun Trend System flipped ⬆LONG⬆")
alertcondition(short_alert, "SHORT (RBF Kijun Trend System)", "RBF Kijun Trend System flipped ⬇Short⬇")
//}
Important Notes
Calibration Needed: The default settings provided are not optimized and are intended for demonstration purposes only. Traders should adjust parameters to fit their trading style and market conditions.
Neutral State Interpretation: Users should carefully choose whether to treat the neutral state as a continuation or a separate signal.
Backtest Results: Historical performance is not indicative of future results. Market conditions change, and past trends may not recur.
Custom Volume for scalping### **Indicator Summary: Custom Volume with Arrow Highlight**
#### **Purpose:**
This indicator visualizes volume bars in a chart, highlighting specific conditions based on volume trends. It displays arrows above the volume bars to indicate potential bullish or bearish market conditions.
#### **Key Features:**
1. **Volume Bars**:
- The indicator plots volume as columns on the chart.
- Volume bars are colored:
- **White** for bullish volume (when the closing price is higher than the opening price).
- **Blue** for bearish volume (when the closing price is lower than the opening price).
2. **Highlight Conditions**:
- The indicator identifies a sequence of three consecutive volume bars:
- The first two bars must be of the same direction (either both bullish or both bearish).
- The third bar must be of the opposite direction.
- Additionally, the third bar's volume must be greater than the previous bar's volume.
3. **Arrow Indicators**:
- When the highlight conditions are met:
- An **upward arrow** ("▲") is placed above the third volume bar for bullish conditions (when the third bar is bullish).
- A **downward arrow** ("▼") is placed above the third volume bar for bearish conditions (when the third bar is bearish).
- The arrows are colored to match the respective volume bar: white for bullish and blue for bearish.
4. **Adjustable Size**:
- The arrows are sized appropriately to ensure visibility without cluttering the chart.
#### **Use Cases:**
- This indicator can help traders identify potential reversals or continuation patterns based on volume behavior.
- It is particularly useful for traders focusing on volume analysis to confirm market trends and make informed trading decisions.
#### **Customization:**
- Users can modify the conditions and visual attributes according to their preferences, such as changing colors, sizes, and label positions.
### **Conclusion:**
The "Custom Volume with Arrow Highlight" indicator provides a straightforward and effective way to visualize volume trends and identify key market conditions, aiding traders in their decision-making processes. It combines the power of volume analysis with clear visual cues, making it a valuable tool for technical analysis in trading.
If you need any further modifications or details, let me know!
Trend IdentifierThe “Trend Identifier” indicator is designed to help traders quickly identify trending and sideways market conditions, allowing them to adapt their strategies based on the prevailing market sentiment. By combining several technical analysis tools—ATR (Average True Range), ADX (Average Directional Index), EMA (Exponential Moving Average), and RSI (Relative Strength Index)—this script provides insights into the market’s strength, direction, and volatility to improve trade decision-making.
How It Works
1. ATR (Average True Range):
• ATR measures market volatility. In this script, ATR is used in combination with a moving average to identify periods of rising or falling volatility, which helps differentiate between trending and non-trending conditions.
2. ADX (Average Directional Index):
• ADX is a key component in identifying the strength of a trend. The script uses a threshold system to classify market conditions:
• If ADX is low (below a specified threshold plus a buffer) and ATR indicates low volatility, the market is likely in a sideways condition.
• If ADX is high (above a threshold minus a buffer) with increasing ATR, the market is likely in a trending condition.
3. EMA (Exponential Moving Average):
• A 20-period EMA is used instead of a simple moving average to enhance trend detection speed. The close price’s position relative to the EMA helps identify bullish or bearish trends when combined with ADX and ATR data.
4. RSI (Relative Strength Index):
• RSI acts as a confirmation tool for trend strength. A bullish trend is confirmed if RSI is above 50 and the price is above the EMA, whereas a bearish trend is confirmed if RSI is below 50 and the price is below the EMA.
Market Condition Signals
• Sideways Signal:
• When ADX and ATR indicate a low-volatility, sideways market, the indicator changes the background color to gray, signaling potential low-trend movement or consolidation. A “S” symbol appears above the bars, making it easier to spot this condition.
• Bullish Trend:
• When conditions favor a strong upward trend, the background changes to green. A “B” symbol is displayed below the bar, indicating the onset of a bullish market condition.
• Bearish Trend:
• Conversely, if conditions indicate a downward trend, the background color changes to red. A “S” symbol is displayed below the bar, showing a bearish trend condition.
Using the Indicator
This indicator helps traders understand the current market structure in a glance:
• Sideways (Gray): Low-volatility consolidation period, ideal for range-bound strategies or waiting for a breakout.
• Bullish (Green): Confirmed uptrend, potentially suitable for buying or long entries.
• Bearish (Red): Confirmed downtrend, ideal for short selling or exiting long positions.
The “Trend Identifier” is a powerful tool for traders who seek a clear view of the market structure, using a balanced approach of volatility, trend strength, and momentum. By combining the power of ATR, ADX, EMA, and RSI, this indicator provides a nuanced picture of the market’s behavior, assisting traders in making more informed decisions.
Zig Zag with Adaptive ProjectionThe "Zig Zag with Adaptive Projection" is an advanced technical analysis tool designed for TradingView's Pine Script platform. This indicator builds upon the traditional ZigZag concept by incorporating adaptive projection capabilities, offering traders a more sophisticated approach to identifying significant price movements and forecasting potential future price levels.
At its core, the indicator utilizes a user-defined period to calculate and display the ZigZag pattern on the chart. This pattern connects significant highs and lows, effectively filtering out minor price fluctuations and highlighting the overall trend structure. Users can customize the appearance of the ZigZag lines, including their color, style (solid, dashed, or dotted), and width, allowing for easy visual integration with other chart elements.
What sets this indicator apart is its adaptive projection feature. By analyzing historical ZigZag patterns, the indicator calculates average lengths and slopes of both bullish and bearish trends. This data is then used to project potential future price movements, adapting to the current market context. The projection lines extend from the most recent ZigZag point, offering traders a visual representation of possible price targets based on historical behavior.
The adaptive nature of the projections is particularly noteworthy. The indicator considers the current trend direction, the length of the most recent ZigZag segment, and compares it to historical averages. This approach allows for more nuanced projections that account for recent market dynamics. If the current trend is stronger than average, the projection will extend further, and vice versa.
From a technical standpoint, the indicator leverages Pine Script v5's capabilities, utilizing arrays for efficient data management and implementing dynamic line drawing for both the ZigZag and projection lines. This ensures smooth performance even when analyzing large datasets.
Traders can fine-tune the indicator to their preferences with several customization options. The ZigZag period can be adjusted from 10 to 100, allowing for sensitivity adjustments to match different trading timeframes. The projection lines can be toggled on or off and their appearance customized, providing flexibility in how the forecast is displayed.
In essence, the "Zig Zag with Adaptive Projection" indicator combines traditional trend analysis with forward-looking projections. It offers traders a tool to not only identify significant price levels but also to anticipate potential future movements based on historical patterns. This blend of retrospective analysis and adaptive forecasting makes it a valuable addition to a trader's technical analysis toolkit, particularly for those interested in trend-following strategies or looking for potential reversal points.
The Ultimate ATR-BBW Market Volatility Indicator"The ATR-BBW Market Volatility Indicator combines the Average True Range (ATR) and Bollinger Bands Width (BBW) to provide a measure of market volatility. This indicator does not indicate bullish or bearish trends, but rather the magnitude of price fluctuations.
* Usage: When the indicator moves upward, it suggests increasing market volatility, indicating that prices are moving within a wider range. Conversely, a downward movement implies decreasing volatility, signifying that prices are moving within a narrower range.
* Note: This sub-indicator solely reflects market volatility and does not provide buy or sell signals.
Investing involves risk. Please conduct thorough research before making any investment decisions.
ATR and BBW Explained:
* Average True Range (ATR): ATR is a technical analysis indicator used to measure market volatility. It calculates the average of a series of true ranges, where the true range is the greatest of the following:
* The current high minus the current low
* The absolute value of the current high minus the previous close
* The absolute value of the current low minus the previous close
* A higher ATR value indicates higher volatility, while a lower value suggests lower volatility.
* Bollinger Bands Width (BBW): Bollinger Bands are plotted two standard deviations above and below a simple moving average. BBW measures the distance between the upper and lower bands. A wider BBW indicates higher volatility, as prices are moving further away from the moving average. Conversely, a narrower BBW suggests lower volatility.
Combining ATR and BBW:
By combining ATR and BBW, the ATR-BBW indicator provides a more comprehensive view of market volatility. ATR captures the overall volatility of the market, while BBW measures the volatility relative to the moving average. Together, they provide a more robust indicator of market conditions and can be used to identify potential trading opportunities.
Why ATR and BBW are Effective for Measuring Volatility:
* ATR directly measures the actual price movement, regardless of the direction.
* BBW shows how much prices are deviating from their average, indicating the strength of the current trend.
* Combined: By combining these two measures, the ATR-BBW indicator provides a more comprehensive and accurate assessment of market volatility.
In essence, the ATR-BBW indicator helps traders understand the magnitude of price fluctuations, allowing them to make more informed trading decisions.
Silen's EMA AreasAre you tired of reading candles? 🧨 Do you want to bring more meaning to your chart? 🧹
Then this is the script for you!
This script does:
- Add several meaningfully pre-configured EMA lines to your chart - up to EMA 300
- Colors the areas between EMA lines in 3d colors - green and red
- The Smaller the EMA, the firmer the color
- Highlights the EMA 300 in a golden color
What is the meaning of this?
Let me introduce a new word to you: EMA FOLDING .
Yes, you heard right. With this indicator you can see in 3D how EMA lines are folding above and below each other, indicating severe mood swings in the chart.
This helps you keep track of what your instrument is actually doing while it enables you to cancel out the noise and messyness of ordinary candles which can be quite random and hard to read.
Once an EMA is fully positive or negatively folded (all ema lines are green and above each other from largest EMA to smallest EMA and vice versa for negatively folded) you can be sure that you are in a Trend or certain mood (for higher timeframes, from 15mins on).
I don't ever want to read any chart without having this indicator on. Whenever I present charts to anybody I use this indicator - and the feedback is insanely positive. People tend to read and understand charts much better with this indicator than just staring at candles.
Why is this indicator different to other EMA indicators and should thereby not be deleted by the TradingView Team due to redundance with other EMA indicators?
- This is not a simple indicator for EMAs
- Rather, this is an indicator to better and easier read the whole chart
- You can detect mood swings very easily which is very hard to do with a normal EMA indicator
- I haven't found any EMA indicator on TradingView that does this job so i sincerely believe it is extremely unique
- I sincerely believe it can help people get a much better understanding of charts without actualy getting into details of EMA's or even needing to know what an EMA is.
This indicator isn't intended for trading purposes, rather it is intended to give you a better and easier understanding of the chart. Of course - you can also use it for your trading but like I said, that is not the primary intended purpose.
This indicator comes pre-configured with quite optimal values (in my opinion) but of course can be fully customized. 🧮
Test it for yourself!
MA Touch Alert SystemThis is a alert system This Pine Script creates an alert system in TradingView to notify you whenever the price touches a specified moving average. With adjustable settings, you can set your preferred moving average period, such as 50 or 200. The script calculates this moving average and triggers an alert if the price crosses it from above or below, enabling you to stay informed about important trend reversals. A visual on-chart label marks these points, and the alert condition ensures you receive notifications through TradingView. Perfect for traders looking to automate key level monitoring, this script supports trend-following and reversal strategies.
Adaptive Support & Resistance Zones Description:
The Enhanced Support and Resistance Zones indicator identifies and visualizes significant support and resistance areas on the chart, helping traders spot potential reversal or breakout points. This tool offers advanced customization options for zone thickness, lookback period, validation criteria, and zone expiration, making it adaptable for various trading styles and market conditions.
Key Features:
1. Zone Thickness Multiplier: The Zone Thickness Multiplier controls the visual “thickness” of each support and resistance zone, allowing traders to adjust the width based on volatility or personal preference. A higher multiplier increases the zone’s range, capturing a wider area around the support or resistance level.
2. Lookback Periods for Support and Resistance: The Lookback for Resistance and Lookback for Support inputs define the number of bars analyzed to identify swing highs and lows, respectively. This allows traders to adjust how far back the script should search for key levels, which can be useful when adjusting for different timeframes or varying levels of historical significance in zones.
3. Minimum Touch Count: To filter out weak zones, the Minimum Touch Count setting establishes the required number of price “touches” (or tests) within a zone before it’s considered valid. By increasing this value, traders can focus only on zones that the price has interacted with frequently, indicating stronger potential support or resistance.
4. Zone Expiration Bars: The Zone Expiration Bars setting enables automatic expiration of older zones, reducing chart clutter from outdated levels. This parameter specifies the maximum number of bars a zone will remain active after its creation. When the set limit is reached, the zone is cleared, allowing the indicator to stay responsive to more recent price action.
5. Dynamic Visualization by Touch Count: Zones with more touches are displayed with a thicker line, visually emphasizing the strength of these areas. Zones with fewer touches are shown with a thinner line, helping traders easily distinguish between stronger and weaker support and resistance levels.
6. Alerts for Zone Touches: Alerts can be configured to notify traders when the price touches the support or resistance zones, offering real-time notifications for potential trading opportunities.
How to Use:
1. Adjusting Zone Thickness: Use the Zone Thickness Multiplier to expand or contract the width of each zone. A higher multiplier may be beneficial in volatile markets, where price tends to fluctuate around levels rather than touching them precisely. Lower values can provide a more precise zone in less volatile environments.
2. Setting Lookback Periods for Zone Identification: The Lookback for Resistance and Lookback for Support inputs allow traders to define how many historical bars to analyze for determining key levels. Longer lookbacks may be useful on higher timeframes to capture more significant support or resistance, while shorter lookbacks can be suitable for lower timeframes or more recent levels.
3. Filtering with Minimum Touch Count: Increase the Minimum Touch Count to filter for stronger zones. For example, setting a minimum touch count of 3 will display only zones that have been tested by the price at least three times, indicating potentially stronger support or resistance.
4. Configuring Zone Expiration: Use Zone Expiration Bars to limit how long each zone remains on the chart, helping to keep the focus on more recent levels. Expiring zones after a set number of bars can be especially useful on lower timeframes, where older levels may no longer be relevant.
5. Using Alerts for Real-Time Notifications: Set up alerts to receive notifications when price enters the support or resistance zones, allowing you to monitor potential trade setups without needing to watch the chart continuously.
This indicator is well-suited for traders aiming to identify high-quality support and resistance areas while managing chart clarity. With these customizable options, traders can adapt the indicator to match their unique trading style and market focus. For best results, test these settings on your preferred timeframe and adjust parameters to fit specific trading goals and market conditions.
Adaptive MA Crossover with ATR-Based Risk MarkersDescription:
The Cross MA Entry Indicator with ATR-Based Stop-Loss and Take-Profit Markers is a powerful tool designed to help traders identify trend-following opportunities while managing risk effectively. By combining customizable moving average (MA) crossovers with ATR-based stop-loss (SL) and take-profit (TP) markers, this indicator provides a complete entry and risk management framework in a single script.
Unique Features:
1. Versatile Moving Average Combinations: The indicator allows users to select from four types of moving averages—SMA, EMA, DEMA, and TEMA—for both fast and slow lines, enabling a variety of crossover configurations. This flexibility helps traders tailor entry signals to specific trading strategies, asset types, or market conditions, enhancing the adaptability of the indicator across different styles and preferences.
2. ATR-Based Dynamic Risk Management: Leveraging the Average True Range (ATR), the indicator dynamically calculates stop-loss and take-profit levels based on market volatility. This approach adjusts to changing market conditions, making it more responsive and reliable for setting realistic, volatility-based risk parameters.
3. Customizable Risk/Reward Ratio: Users can define their preferred risk/reward ratio (e.g., 2:1, 3:1) to tailor take-profit levels relative to stop-loss distances. This feature empowers traders to align trades with their individual risk management strategies and objectives, while maintaining consistency and discipline in execution.
4. Streamlined Visualization of Entry and Risk Levels: Upon a crossover, the indicator places discrete markers at the calculated SL and TP levels, avoiding clutter while providing traders with an immediate view of potential risk and reward. Small dots represent SL and TP levels, offering a clean, clear display of critical decision points.
How to Use:
1. Entry Signals from MA Crossovers: This indicator generates entry signals when the selected moving averages cross, with green markers indicating long entries and red markers indicating short entries. The customizable MA selection enables traders to optimize crossover signals for various timeframes and asset classes.
2. Integrated Risk Markers: SL and TP levels are shown as small dots at the crossover point, based on the ATR multiplier and risk/reward ratio settings. These markers allow traders to quickly visualize the defined risk and potential reward for each entry.
This indicator offers a comprehensive solution for trend-following strategies by combining entry signals with adaptive risk management. Suitable for multiple timeframes, it allows for backtesting and adjustments to ATR and risk/reward parameters for improved alignment with individual trading goals. As with all strategies, thorough testing is recommended to ensure compatibility with your trading approach.
Demo GPT - Day Trading Scalping StrategyOverview:
This strategy is designed for day trading and scalping, utilizing a combination of technical indicators, candlestick patterns, and volume analysis to determine entry and exit points. It focuses on capturing short-term price movements while ensuring that trades are executed under specific market conditions.
Key Components:
Technical Indicators Used:
Exponential Moving Average (EMA): The strategy uses the 20-period EMA to identify the trend direction. The EMA smooths out price data, helping traders make more informed decisions about potential buy or sell signals.
Volume Weighted Average Price (VWAP): VWAP is used to measure the average price a security has traded at throughout the day, based on both volume and price. This indicator helps assess whether the current price is above or below the average trading price.
Camarilla Pivot Points: The strategy calculates four levels of Camarilla pivots (S2, S3, R2, R3) based on the highest and lowest prices over the last 14 daily candles. These levels act as potential support and resistance zones, guiding entry and exit decisions.
Candlestick Analysis:
Buy Condition: A buy signal is triggered when:
The first candle (previous candle) is green (close > open).
The second candle (current candle) is also green and opens above the first candle.
The volume of the current candle exceeds the 20-period moving average of volume, indicating strong buying interest.
Sell Condition: A sell signal is triggered when:
The first candle is red (close < open).
The second candle opens below the first red candle.
The volume of the current candle also exceeds the 20-period moving average of volume, indicating strong selling pressure.
Position Management:
The strategy enters a long position (buy) when the buy condition is met and closes the long position when the sell condition is met. This approach aims to capture upward momentum while avoiding extended exposure to downside risks.
Trading Settings:
Capital Management: The strategy uses 100% of available capital for each trade, allowing for maximum exposure to potential gains.
Commission and Slippage: The script includes settings for a commission rate of 0.1% and slippage of 3, accounting for trading costs and potential price changes during order execution.
Date Filtering: The strategy allows users to set a start date (January 1, 2018) and an end date (December 31, 2069) for trade execution, providing flexibility in backtesting and live trading.
Visualization:
The script plots the 20 EMA, VWAP, and the Camarilla pivot levels on the chart for visual reference.
Buy and sell signals are visually represented with shapes on the chart, making it easy to identify potential trade opportunities at a glance.
Volume is plotted in a separate pane to assess trading activity, and a horizontal line at zero provides a reference point.
Summary:
This Day Trading Scalping Strategy is designed to exploit short-term price movements by using a combination of EMAs, VWAP, and Camarilla pivot levels, alongside candlestick patterns and volume analysis. It is well-suited for traders looking to make quick trades based on real-time market conditions while maintaining a disciplined approach to entry and exit points. The strategy is highly visual, allowing traders to quickly assess market conditions and make informed trading decisions.
Feel free to modify or adjust any aspects of the strategy according to your specific trading goals or preferences!
Long Short MomentumThis indicator is designed to visualize short-term and long-term momentum trends.The indicator calculates two momentum lines based on customizable lengths: a short momentum (Short Momentum) over a smaller period and a long momentum (Long Momentum) over a longer period. These lines are plotted relative to the chosen price source, typically the closing price.
The histogram, colored dynamically based on momentum direction, gives visual cues:
Green: Both short and long momentum are positive, indicating an upward trend.
Red: Both are negative, indicating a downward trend.
Gray: Mixed momentum, suggesting potential trend indecision.
PTS - Bollinger Bands with Trailing StopPTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
Thought for 1m 7s
Description for the "PTS - Bollinger Bands with Trailing Stop" Strategy
PTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
How the Strategy Works
1. Initialization
Calculates Bollinger Bands and ATR based on selected parameters.
2. Entry Logic
Opens a long position when the closing price exceeds the upper Bollinger Band.
3. Exit Logic
Uses a trailing stop loss based on ATR. Exits if the closing price drops below the lower Bollinger Band.
4. Date Filtering
Executes trades only within the specified date range.
Advantages
Adaptive Risk Management: Trailing stop adjusts to market volatility. Simplicity: Clear entry and exit signals. Customizable Parameters: Tailor the strategy to different assets or conditions.
Considerations
Aggressive Position Sizing: Using 100% equity per trade is high-risk. Market Conditions: Best in trending markets; may produce false signals in sideways markets. Backtesting: Always test on historical data before live trading.
Disclaimer
This strategy is intended for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Assess your financial situation and consult a financial advisor if necessary.
Usage Instructions
1. Apply the Strategy: Add it to your TradingView chart. 2. Configure Inputs: Adjust parameters to suit your style and asset. 3. Analyze Backtest Results: Use the Strategy Tester. 4. Optimize Parameters: Experiment with input values. 5. Risk Management: Evaluate position sizing and incorporate risk controls.
Final Notes
The "PTS - Bollinger Bands with Trailing Stop" strategy provides a framework to leverage momentum breakouts while managing risk through adaptive trailing stops. Customize and test thoroughly to align with your trading objectives.
Dual Momentum StrategyThis Pine Script™ strategy implements the "Dual Momentum" approach developed by Gary Antonacci, as presented in his book Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk (McGraw Hill Professional, 2014). Dual momentum investing combines relative momentum and absolute momentum to maximize returns while minimizing risk. Relative momentum involves selecting the asset with the highest recent performance between two options (a risky asset and a safe asset), while absolute momentum considers whether the chosen asset has a positive return over a specified lookback period.
In this strategy:
Risky Asset (SPY): Represents a stock index fund, typically more volatile but with higher potential returns.
Safe Asset (TLT): Represents a bond index fund, which generally has lower volatility and acts as a hedge during market downturns.
Monthly Momentum Calculation: The momentum for each asset is calculated based on its price change over the last 12 months. Only assets with a positive momentum (absolute momentum) are considered for investment.
Decision Rules:
Invest in the risky asset if its momentum is positive and greater than that of the safe asset.
If the risky asset’s momentum is negative or lower than the safe asset's, the strategy shifts the allocation to the safe asset.
Scientific Reference
Antonacci's work on dual momentum investing has shown the strategy's ability to outperform traditional buy-and-hold methods while reducing downside risk. This approach has been reviewed and discussed in both academic and investment publications, highlighting its strong risk-adjusted returns (Antonacci, 2014).
Reference: Antonacci, G. (2014). Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk. McGraw Hill Professional.
MAPE of Expected Value and Percent ResidualsOverview
This indicator calculates and visualizes the Mean Absolute Percentage Error (MAPE) and the percent residuals of the expected value compared to the actual closing price. The purpose of this indicator is to provide insights into the accuracy of price forecasts by comparing predicted values to actual market outcomes. The expected values are derived from the transform model, which uses the mean line from the mean and standard deviation lines as an indicator for expected price movement. Users can customize the number of periods over which calculations are averaged.
Inputs
Mean Period (Bars) : Specifies the number of bars used to calculate the moving average of the change between closing prices. This value should match the value used in the mean and standard deviation lines indicator.
MAPE Period (Bars) : Specifies the number of bars used to calculate the moving average of the absolute percentage error.
Outputs
Percent Residuals Histogram : Displays the percentage error between the predicted (expected) value and the actual closing price. The bars are color-coded, with green indicating positive residuals (i.e., the actual value is higher than the predicted value) and red indicating negative residuals (i.e., the actual value is lower than the predicted value).
Reference Line : A horizontal line at zero is added to the chart to indicate the baseline for percent residuals.
Mean Absolute Percentage Error (MAPE) Line : Plots the moving average of the absolute percentage error over the specified period, helping users gauge the average accuracy of their predictions over time.
Methodology
Calculation of Individual Bar Normalized Residuals: The normalized residuals for each bar are computed by taking the difference between the actual closing price and the predicted (expected) value, divided by the closing price. If the actual closing price is above the expected value, the residual is considered positive and is represented in green; otherwise, it is negative and represented in red. This normalization provides a standardized measure of deviation that allows for consistent comparison across different bars.
Mean Absolute Percentage Error (MAPE) Calculation: Over the user-defined period, the absolute values of the normalized residuals are computed and subsequently averaged to determine the Mean Absolute Percentage Error (MAPE). This metric quantifies the average magnitude of the forecast errors, providing a clear indication of the model's predictive accuracy over time.
How to Use
Add Indicators to Chart : First, apply the mean and standard deviation lines indicator to the chart, then add the MAPE of Expected Value and Percent Residuals indicator to evaluate the accuracy of price forecasts.
Set Parameters : Set the `Mean Period (Bars)` to be the same value in both the mean and standard deviation lines indicator and the MAPE indicator to ensure accuracy. Adjust the `MAPE Period (Bars)` to fine-tune the length of historical data used in calculating the MAPE.
Interpret Residuals and MAPE : Use the percent residuals histogram to understand how the actual closing price deviates from predictions. The MAPE line helps track the average prediction accuracy over time.
This tool is particularly useful for traders who want to evaluate the performance of their price prediction models based on the transform model and track how well their expected values, derived from mean and standard deviation lines , align with actual market movements.
