Acceleration Bands HTF
This version gives you the ability to see the indicator from the HIGHER timeframes when you are on the timeframes. Please note that this is not the original formula, but a factored one that I found effective for identifying market trends. Thanks to @capissimo who provided the base open-code.
Acceleration Bands are designed to capture potential price breakouts or reversals in an asset. They are calculated based on a stock's price movements over a specified period, typically using the high, low, and closing prices. The idea is to identify moments when the price is accelerating (hence the name) beyond its normal range, which might indicate the beginning of a new trend.
Calculation
Acceleration Bands consist of three lines:
Upper Band (AB Upper): This is calculated by adding a certain percentage of the simple moving average (SMA) to the highest high over a given period.
Middle Band: This is typically the SMA of the stock's price.
Lower Band (AB Lower): This is calculated by subtracting the same percentage of the SMA from the lowest low over a given period.
Mathematically :
AB Upper = SMA + (Highest High * Percentage)
AB Lower = SMA - (Lowest Low * Percentage)
OR
Upper Band = SMA x (1 + (High - Low) / SMA)
Lower Band = SMA x (1 - (High - Low) / SMA)
Interpretation
The bands are used to identify periods when the price of a security is accelerating or decelerating:
Breakout Above Upper Band: This is usually considered a bullish signal, suggesting that the price is accelerating upwards and a new uptrend may be starting.
Breakdown Below Lower Band: This is usually considered a bearish signal, suggesting that the price is accelerating downwards and a new downtrend may be starting.
Reversal Between Bands: When the price re-enters the region between the bands after breaking out, it can be seen as a potential reversal signal.
Trading Strategy
Entry Signals:
Buy when the price breaks above the upper band.
Sell or short when the price breaks below the lower band.
Exit Signals:
Close a long position when the price falls back into the area between the bands.
Close a short position when the price rises back into the area between the bands.
Advantages
Helps capture early trends.
Can be used across various time frames and assets.
Provides clear entry and exit signals.
波動率
RS ScanOverview
The RS Scan indicator helps traders analyze a stock's relative strength and volatility using multiple key metrics. It provides insights into where the stock is closing within its daily and weekly ranges, how far it has moved from its 52-week high, and how its price changes compare to its Average Daily Range (ADR).
Key Features
✅ Daily Close Range% – Shows the stock’s closing position within the day’s high-low range.
✅ Weekly Close Range% – Displays the stock’s closing position within the weekly high-low range.
✅ Stock Price Change% – Measures how much the stock has moved relative to its 52-week high.
✅ ADR% (Average Daily Range) – Calculates the stock’s average daily volatility over a given period (default: 20 days).
✅ ADR off 52W High – Indicates how many ADR multiples the stock has moved from its 52-week high.
How to Use
Identify Strength: Stocks closing near the high of their daily/weekly range show strong momentum.
Measure Volatility: The ADR% helps traders understand expected price fluctuations.
Detect Weakness: A stock trading far below its 52-week high with a low close range may indicate weakness.
Compare Price Change vs. ADR: If a stock is significantly down from its 52-week high but within a small ADR range, it may be consolidating.
Screening Example: If SPY is currently less than -3 ADR from its 52-week high, we can filter for stocks that are performing stronger by selecting those above -3 ADR. This helps in identifying stocks with relative strength compared to the broader market.
This indicator is useful for momentum traders, swing traders, and those tracking relative strength.
🚀 Try it out and enhance your trading decisions!
PRC-EPMA | QuantEdgeB Introducing PRC-EPMA by QuantEdgeB
Overview
The PRC-EPMA (Percentile-Endpoint Moving Average) is a sophisticated trading indicator developed for traders looking to capitalize on trend shifts with enhanced filtering mechanisms. It blends Endpoint Moving Averages, Percentile Rank, and Median Absolute Deviation (MAD) Filtering to generate high-probability long and short signals.
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Key Features
🔹 1. Endpoint Moving Average (EPMA):
- A regression-based moving average that adapts quickly to price movements.
- Uses a linear regression slope to project future price direction.
- Helps traders identify trend direction more responsively than traditional moving averages.
🔹 2. Percentile Rank-Based Dynamic Levels:
- Identifies overbought (75th percentile) and oversold (25th percentile) zones.
- Dynamically adjusts based on historical data, making it robust across different market conditions.
🔹 3. Median Absolute Deviation (MAD) Filtering:
- An advanced volatility filter that refines entry and exit points.
- Reduces noise by filtering out weak signals, focusing only on meaningful trend shifts.
- Uses two multipliers (long and short) to fine-tune sensitivity.
🔹 4. Signal Generation:
- 📈Long Signal: Triggered when price closes above the upper dynamic threshold.
- 📉Short Signal: Triggered when price closes below the lower dynamic threshold.
- Uses color-coded candles to visually indicate trend shifts.
- Optional signal labels can be enabled for clear entry/exit indications.
🔹 5. Customizable Visualization:
- Multiple color themes to match user preferences.
- Ability to overlay signals on price charts.
- Alerts available for long & short crossovers.
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How It Works
1. The script calculates an Endpoint Moving Average based on a user-defined period.
2. It computes the 75th and 25th percentile ranks of the Endpoint Moving Average.
3. Median Absolute Deviation (MAD) Filtering is applied to reduce false breakouts.
4. A buy (long) or sell (short) signal is triggered when price crosses the respective filtered percentile levels.
5. Alerts and labels can be used to notify traders of new signals.
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Behavior across Crypto Majors (Using Default Settings)
BTC
ETH
SOL
Note : Past behaviour is not indicative of future results. Always conduct thorough testing and risk management before making trading decisions.
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Best Use Cases
📌 Trend Confirmation – Use EPMA to confirm if a trend is strengthening or weakening.
📌 Noise Reduction – MAD filtering prevents reacting to minor fluctuations, focusing on stronger trend shifts.
📌 Multi-Timeframe Scalability – Works across multiple timeframes (1H, 4H, Daily, etc.), depending on the trader’s strategy.
⚙️ Customizable Inputs ⚙️
- Endpoint Moving Average Lookback Length
- Percentile Rank Length
- MAD Filter Sensitivity (Multipliers for Long & Short)
- Signal Labels & Alerts for Long/Short Entries
- Color Theme Selection
Default Setup for PRC-EPMA
Linear Regression Length → 4
Endpoint Lookback → 14
Percentile Length → 21
Median Period (Absolute Deviation Filter) → 21
Upper Multiplier (Absolute Deviation Filter) → 1.8
Lower Multiplier (Absolute Deviation Filter) → 0.9
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Final Thoughts
The PRC-EPMA Indicator is a powerful tool for traders seeking high-quality entry and exit signals based on statistical and regression-based methodologies. By combining EPMA, Percentile Rank, and MAD Filtering, it ensures that only strong and validated signals are executed, making it a great addition for trend-followers and mean-reversion traders alike.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
EMA Adaptive Trailing StopThe EMA Adaptive Trailing Stop Strategy is a versatile and comprehensive Pine Script designed for TradingView. This script provides an adaptive trailing stop mechanism that leverages the Exponential Moving Average (EMA) to adjust trailing stops based on market conditions. The strategy dynamically switches between trending and ranging markets by utilizing both Average True Range (ATR) and Average Directional Index (ADX) to detect market conditions.
Key Features:
EMA-Based Trailing Stop:
The script uses the EMA value to set trailing stops precisely. The EMA offers a more responsive calculation to price changes, ensuring closer and more accurate trailing stops that follow market movements effectively.
Market Condition Detection:
The script employs ATR and ADX to distinguish between trending and ranging markets. ATR measures market volatility, while ADX gauges trend strength. The combination of these two indicators provides a more accurate market condition detection.
Customizable Settings:
The script offers various flexible parameters to adjust EMA length, multipliers, and ATR length. Users can customize these settings according to their preferences and trading strategy.
Two Modes:
The script adapts to market conditions by providing two modes: trending mode and ranging mode. In trending mode, the trailing stop is tighter to follow price movements closely, whereas in ranging mode, the trailing stop is looser to accommodate lower volatility.
Entry and Exit Conditions:
The script detects market conditions to set buy and sell signals. These conditions include the calculations of EMA, ATR, and ADX to ensure the signals generated are valid and profitable.
Alerts:
The script provides buy and sell signals through alert conditions for efficient trade management. Users can enable these alerts to get real-time notifications when valid buy or sell signals are detected.
Suitable for Scalping and Swing Trading:
The script is well-suited for both scalping and swing trading strategies. Scalpers can benefit from the responsive and tighter trailing stops during trending conditions, while swing traders can take advantage of the adaptive and looser trailing stops during ranging conditions, allowing them to capture larger price movements.
Explanation of Mode 1 and Mode 2:
Mode 1: Trending Market:
In this mode, the market is identified as trending based on the ADX and ATR values.
LONG 1: This label indicates a buy signal in the trending market mode. It signifies that the trailing stop has been activated and a long position (buy) should be taken when the market is trending.
SHORT 1: This label indicates a sell signal in the trending market mode. It signifies that the trailing stop has been activated and a short position (sell) should be taken when the market is trending.
Mode 2: Ranging Market:
In this mode, the market is identified as ranging based on the ADX and ATR values.
LONG 2: This label indicates a buy signal in the ranging market mode. It signifies that the trailing stop has been activated and a long position (buy) should be taken with a looser trailing stop when the market is ranging.
SHORT 2: This label indicates a sell signal in the ranging market mode. It signifies that the trailing stop has been activated and a short position (sell) should be taken with a looser trailing stop when the market is ranging.
Technical Usage:
Variable Initialization:
The script initializes variables to store values such as trailing stop, long position status, and short position status.
Market Condition Detection:
The script calculates ATR and ADX values to detect whether the market is trending or ranging. This includes the use of f_adx function to calculate ADX values and determine market conditions.
EMA-Based Trailing Stop Calculation:
The script adjusts the trailing stop based on EMA values and ATR. The calculation involves customizable multipliers and parameters that influence the trailing stop's precision.
Plot Trailing Stop:
The script displays the trailing stop on the chart for clear visualization. This includes plotting the trailing stop line with appropriate colors to indicate long and short positions.
Entry and Exit Conditions:
The script determines the entry (buy) and exit (sell) conditions based on market condition detection and trailing stop settings. These conditions are crucial for generating valid buy or sell signals.
Plotshape and Alert:
The script provides plotshapes for buy and sell signals and sets up alert conditions for real-time notifications when a valid buy or sell signal is detected.
GARCH(1,1) [victhoreb]Generalized Autoregressive Conditional Heteroskedasticity p,q = 1 (GARCH(1,1))
The GARCH model is a generalized version of the ARCH statistical model, which describes the variance of the current error term (innovation) as a function of the magnitudes of the previous periods' error terms. Essentially, the GARCH model provides an estimate of the average volatility.
The model assumes that the time series { xₜ | t ∈ T } is given by:
xₜ = μₜ + εₜ
where:
- μₜ is the conditional mean of the series.
- εₜ represents the residual shocks, defined as above, and it is assumed that εₜ ∼ N(0, σₜ²) (this assumption, although important for statistical inference, may not hold perfectly in practice as residuals can exhibit heavier tails).
The conditional variance is estimated by:
σₜ₊₁² = ω + α · εₜ² + β · σₜ²
where:
- ω is a constant ensuring the variance remains positive;
- α measures the impact of recent shocks (the effect of the squared residuals);
- β represents the persistence of past volatility.
(!) It is important that α + β < 1 for the process to be stationary.
(!) The parameters ω, α, and β are assumed to be non-negative real numbers.
Here, σₜ₊₁ represents the forecasted volatility for the next period (t+1).
ADDITIONAL NOTES:
1. In the first bar, the future conditional variance σₜ₊₁² is defined as εₜ². This initialization is arbitrary and serves to start the recursive process. Alternative initialization methods may be used depending on the data.
2. The normality assumption εₜ ∼ N(0, σₜ²) facilitates statistical inference, though in practice the residuals might not follow a perfect normal distribution. Statistical tests and graphical analysis can be applied to assess normality and, if necessary, alternative distributions (such as Student's t or GED) may be employed.
3. The conditional mean μₜ is estimated using a weighted moving average (WMA) of the hl2 value (the average of the high and low), which acts as a proxy for the level of the series. In this setup, xₜ is set to hl2, and the model computes the conditional volatility for the next bar.
ADDITIONAL INDICATOR (MA):
An extra moving average (MA) calculated using GARCH(1,1) is plotted on the chart (its plot is optional and it can be changed in the indicator settings).
Weighted SD Bands | QuantEdgeBIntroducing Weighted SD Bands by QuantEdgeB
Overview
The Weighted SD Bands is a valuation and mean-reversion analysis tool that dynamically adjusts to price movements, helping traders identify potential overbought and oversold conditions. Built on a Weighted Moving Average (WMA), this indicator plots Standard Deviation (SD) bands around price action, highlighting extremes and potential reversal zones.
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Key Features
✅ Adaptive Valuation Model – Uses weighted price action to determine key valuation zones.
✅ Mean Reversion Analysis – Identifies extended deviations from fair value to spot reversal opportunities.
✅ Multi-Tier SD Bands – Provides multiple deviation levels to assess varying degrees of price stretch.
✅ Dynamic Color Coding – Highlights areas of extreme overvaluation or undervaluation.
✅ Reversal Signals – Generates Buy/Sell signals when price crosses the outer bands.
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How It Works
- A Weighted Moving Average (WMA) serves as the baseline (fair value).
- Standard Deviation Bands expand dynamically based on historical volatility.
- Extreme levels (±2 SD) signal potential trend exhaustion/reversal.
- Buy signals appear when price crosses below the lower 2 SD band.
- Sell signals appear when price crosses above the upper 2 SD band.
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Visual Representation
🔹 Gradient-filled bands help visualize price stretching beyond typical fluctuations.
🔹 Triangular markers indicate potential reversal points at extreme SD levels.
🔹 Background highlights mark high-risk valuation zones.
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Settings & Customization
- Lookback Length (WMA): Adjust the moving average period to control sensitivity. (default: 20)
- Source : Select the base source for the calculation. (default: close)
- SD Length: Modify the standard deviation period to fine-tune band width. (default: 30)
- Color Mode: Choose from multiple visualization themes.
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Who Should Use It?
📌 Mean-Reversion Traders – Spot high-probability reversal zones.
📌 Valuation-Based Investors – Identify fair value and extended price levels.
📌 Trend-Following Traders – Use SD bands to manage risk and spot potential pullbacks.
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Conclusion
The Weighted SD Bands indicator is a powerful tool for valuation and mean-reversion trading, providing dynamic fair value zones, extreme-level signals, and customizable SD bands to refine market timing. Whether you're trading pullbacks, rebalancing positions, or spotting reversals, this model helps you stay ahead of market inefficiencies.
🔹 Disclaimer: This tool is for educational purposes only and is not financial advice. Always conduct your own research before making investing decisions
Fixed Date VWAP [victhoreb]**Fixed Date VWAP**
Fixed Date VWAP is a custom TradingView indicator that provides a versatile method for calculating the Volume Weighted Average Price (VWAP) by anchoring the calculation either to a specific fixed date or to a defined period (such as daily, weekly, or monthly). This dual approach allows traders to customize the VWAP based on their preferred time frame, making it ideal for both short-term and long-term analysis.
**Key Features:**
- **Dual Anchoring Options:**
- *Fixed Date:* Begin the VWAP calculation from a user-defined date. The fixed date can be easily selected either by dragging the vertical date bar directly on the chart or through the settings panel.
- *Period:* Reset the calculation at the start of each chosen time frame (e.g., daily, weekly, monthly, etc.).
- **Customizable Deviation Bands:**
Up to three sets of deviation bands are plotted around the VWAP. Each band uses user-defined multipliers to determine its distance from the VWAP, helping to identify potential support, resistance, and volatility areas.
- **Visual Customization:**
Users can adjust the visibility of each band, choose their preferred colors, and enable a fill between the bands for enhanced chart readability.
- **Flexible Anchoring Utility:**
One of the major benefits of Fixed Date VWAP is its ability to adapt the anchor point to significant chart events, such as pivot points, enhancing the relevance of the VWAP in technical analysis.
Whether you're analyzing intraday movements or broader market trends, Fixed Date VWAP offers a dynamic and flexible perspective on price action, supporting more informed and strategic trading decisions.
POC-Candle-EMA-ATR-LongShadow-50percCandleThis is a script for those who trade based on volume and smart money strategies.
Some of the features of this script:
- Display "Time Price Opportunity Chart". These points help traders to identify price opportunities over time and have a better analysis of the market.
- Mark candles that have traded more volume than previous candles.
- Mark candles whose body is at least and not more than 50% of the total candle size, these candles can be found more easily in smart money strategies.
- Mark spike candles to find FVG faster
- Mark candles that have a shadow of at least more than 380 points and can be good reversal points.
- EMA indicator to check the market trend
- DonchianChannel indicator to check the price trend on the chart
Regards
Shavarie's MCV IndicatorShavarie's MCV Indicator (MACD + CCI + Volume Delta) is a custom-built trend-following and volume-based indicator that helps traders confirm market direction with high accuracy. It combines the MACD (Moving Average Convergence Divergence), CCI (Commodity Channel Index), and Volume Delta, ensuring that all three indicators align before making a trading decision. The goal is to filter out false signals and provide high-probability trade setups.
History & Development
Shavarie's MCV Indicator was developed by Shavarie Gordon, an experienced swing trader, to improve trend confirmation on Gold (XAUUSD) and other markets. After testing various indicators, Shavarie discovered that MACD, CCI, and Volume Delta together provide the best combination of trend strength, momentum, and real-time volume flow. This indicator was designed to eliminate lagging signals, improve win rates, and enhance market timing for both swing and scalping strategies.
How It Works & Calculations
MACD (Moving Average Convergence Divergence)
Measures momentum and trend strength using the difference between a 12-period EMA and a 26-period EMA.
The MACD line and Signal line crossover confirms buy/sell signals.
A rising MACD histogram confirms bullish strength, while a falling histogram confirms bearish strength.
CCI (Commodity Channel Index)
Measures how far the price is from its statistical average.
Above +100 → Overbought (strong trend continuation or reversal).
Below -100 → Oversold (strong trend continuation or reversal).
When CCI aligns with MACD, it confirms momentum strength.
Volume Delta
Measures the difference between buying and selling volume in real time.
A positive delta means more aggressive buying (bullish).
A negative delta means more aggressive selling (bearish).
Helps confirm MACD and CCI trends by showing real volume strength.
Key Takeaways & Features
✅ No false signals: All three indicators must align before entering a trade.
✅ Trend confirmation: Ensures momentum and volume agree before trading.
✅ Works on multiple timeframes: Designed for swing trading on the daily and scalping on 45 min + 5 min.
✅ Great for Gold & Metals: Optimized for XAUUSD, XAUJPY, XAU/AUD, and possibly Palladium (XPDUSD).
✅ Custom-built by a professional trader: Developed by Shavarie Gordon after extensive testing.
Summary
Shavarie’s MCV Indicator is a powerful and reliable trading tool that combines momentum, trend, and volume analysis. By ensuring that MACD, CCI, and Volume Delta align, it eliminates false signals and increases trade accuracy. Whether used for swing trading or scalping, this indicator helps traders enter high-probability trades with confidence.
GVWD | QuantumResearch QuantumResearch GVWD – Gaussian Volume-Weighted Deviation
The GVWD (Gaussian Volume-Weighted Deviation) is a powerful trend-following and volatility-based indicator that integrates Gaussian smoothing, volume-weighted price action, and adaptive ATR-based deviation bands. This combination allows traders to analyze market trends with enhanced precision while filtering out short-term noise. 🚀📊
1. Key Features
Gaussian Smoothing – Uses a Gaussian-weighted filter to refine price trends and remove noise. 📉📈
Volume-Weighted Adaptation – Incorporates volume-based price weighting for more responsive trend detection . 🔄
ATR-Based Deviation Bands – Dynamic upper and lower bounds adjust to market volatility for trend confirmation. ⚖️
Multi-Level Smoothing – Three levels of EMA smoothing on Gaussian-filtered data for layered analysis. 🎛️
Color-Coded Trend Visualization – Dynamic bar colors and background fills for clear market state identification. 🎨
Automated Alerts – Built-in Long/Short alerts for trade signal confirmation. 🔔
2. How It Works
A. Gaussian Filtered Price Calculation
Applies a Gaussian smoothing function to price data for trend refinement.
Weights price movements based on statistical deviation (sigma parameter) for precise trend estimation.
Filters out short-term market noise to capture the core trend movement.
B. Volume-Weighted Gaussian EMA
The filtered price is volume-weighted to prioritize significant moves.
Uses adaptive exponential smoothing to enhance trend sensitivity.
Ensures that high-volume price movements have more impact on the final output.
C. ATR-Based Deviation Bands
Calculates an adaptive range based on ATR (Average True Range).
Multiplier settings allow custom deviation tuning for different market conditions.
The upper and lower bounds define zones for trend continuation or potential reversals.
D. Signal Generation
Bullish Trend: When price is above the Gaussian EMA + ATR Upper Band. ✅
Bearish Trend: When price is below the Gaussian EMA - ATR Lower Band. ❌
Long Signal: Triggered when the trend shifts bullish.
Short Signal: Triggered when the trend shifts bearish.
3. Visual Representation
A. Color-Coded Trend Signals
Green Bars: Indicates a strong uptrend. 🟢
Blue Bars: Indicates a confirmed downtrend. 🔴
Gray Bars: Neutral or consolidation phase. ⚪
B. Multi-Level Gaussian EMA Smoothing
EMA 1 (Medium-Term): Serves as the primary trend-following line.
EMA 2 (Longer-Term): Acts as a higher timeframe confirmation.
EMA 3 (Extended Smoothing): Provides an even more stable view of price action.
C. Background Fill Based on Trend Strength
Stronger Trends: Brighter green/blue background.
Weaker Trends: Lighter shades indicate reduced momentum.
4. Customization & Parameters
Gaussian Smoothing Parameters: Adjust the sigma value to fine-tune the filter strength.
Volume-Weighted EMA Length: Select how far back price movements are weighted by volume.
ATR-Based Deviation Bands: Modify upper and lower multipliers for different volatility conditions.
Color Modes: Choose from 8 predefined color schemes for improved visualization.
5. Backtest & Market Applications
Backtest Summary :
The GVWD Indicator has been tested across various assets, including:
BTC/USD
ETH/USD
SOL/USD
📊 Key Observations:
Smooth Trend Identification: Gaussian smoothing helps filter noise without excessive lag.
Volume Sensitivity Enhances Responsiveness: Prioritizes high-volume trend confirmations.
ATR Bands Help Define Entry & Exit Points: Useful for position management and risk control.
⚠️ Disclaimer: This indicator is designed to complement existing analysis techniques . Market conditions vary, and no tool can guarantee future performance. Always use proper risk management when trading.
6. Final Thoughts
The GVWD Indicator is a hybrid Gaussian smoothing and volatility-based trend tool that combines multiple advanced statistical techniques for trend analysis.
By removing noise and adapting to volume-based price movements, GVWD helps traders identify meaningful trend shifts.
Designed for multi-timeframe analysis, it can be used across different market conditions.
Important Reminder: No single indicator guarantees profitability. Always validate signals with additional market context. 📊
FVG | iSolani
Unveiling Market Inefficiencies with Precision
In fast-moving markets, spotting hidden opportunities often hinges on identifying imbalances between price and value. The FVG | iSolani indicator revolutionises this process by detecting Fair Value Gaps (FVGs) —zones where price action skips over "fair" valuation levels, creating potential retracement targets. Combining advanced filtering, dynamic visualisation, and automated management, this tool empowers traders to pinpoint high-probability setups with unprecedented clarity.
Core Methodology
The indicator employs a multi-layered approach to identify FVGs:
Three-Bar Gap Analysis: Bullish FVGs form when the current low exceeds the high of two bars prior, while bearish FVGs occur when the current high stays below the low of two bars back.
Volatility-Adjusted Filtering: Gaps are measured against a 100-bar standard deviation to exclude insignificant price jumps.
Volume Confirmation: Only gaps accompanied by above-average volume (relative to a 1-bar SMA) are validated, filtering out low-conviction moves.
Auto-Invalidation System: Continuously monitors price action to remove FVG zones once price closes within their range, maintaining chart cleanliness.
Breaking New Ground
This tool introduces three paradigm-shifting innovations:
Volume-Weighted Significance: Unlike traditional FVG detectors, it ties gap validity to volume spikes, emphasising institutional activity.
Adaptive Zone Management: Boxes automatically extend rightward (when enabled) and self-destruct when invalidated, eliminating manual cleanup.
Smart Color Encoding: Offers both monochrome (for multi-timeframe analysis) and standard bull/bear color schemes, with customisable transparency.
Engine Under the Hood
The script operates through four key processes:
Gap Detection: Scans every new bar for three-candle patterns meeting FVG criteria.
Statistical Filtering: Applies user-defined threshold (default: 1σ) to separate meaningful gaps from market noise.
Box Rendering: Draws semi-transparent zones between gap boundaries using TradingView's box objects, styled according to user preferences.
Array-Based Memory: Stores all active FVGs in arrays, enabling real-time validation checks against current price action.
Standard Configuration
Optimised default settings balance visibility and functionality:
Filter: 1.0 (1 standard deviation threshold)
Colors: "Mono" mode (gray boxes) with 90% transparency
Text Labels: Enabled in medium gray
Extension: Gaps extend indefinitely rightward
Borders: Dotted lines with visible outlines
Through its fusion of quantitative rigor and visual adaptability, the FVG | iSolani transforms raw price data into actionable intelligence. By focusing on volume-confirmed gaps and automating zone management, it cuts through market chaos to reveal structurally significant levels—a must-have for traders navigating breakouts, reversals, or order-flow analysis.
Candle Range-BarsThe Candle Range Bars indicator visually represents the range of each candlestick in either pips or ticks, depending on your preference. It plots vertical bars to show the size of each candle, making it easy to identify periods of high or low volatility. The indicator also displays the exact range value (in pips or ticks) above each bar, with customizable text size and color for better readability.
Key Features
Pips or Ticks Mode:
Choose to display the candle range in pips (for forex traders) or ticks (for other instruments).
Customizable Text:
Adjust the text color and text size (Tiny, Small, Normal, Large) to suit your chart style.
Clear Visuals:
Bars are colored green for bullish candles and red for bearish candles, making it easy to distinguish between up and down moves.
Flexible Use:
Ideal for analyzing volatility, identifying consolidation zones, and comparing candle ranges across different timeframes.
How to Use:
Add the indicator to your chart.
Customize the settings:
Choose between pips or ticks.
Adjust the text color and text size for the range values.
Observe the bars and their corresponding range values to analyze market volatility.
Why Use This Indicator?:
Simplify Range Analysis: Quickly see the size of each candlestick without manual calculations.
Customizable: Tailor the appearance to match your trading style.
Versatile: Works on any instrument and timeframe.
Settings:
Show Pips (Otherwise Ticks): Toggle between pips and ticks mode.
Text Color: Choose the color of the range value text.
Text Size: Select the size of the range value text (Tiny, Small, Normal, Large).
Ideal For:
Forex, stocks, commodities, and crypto traders.
Traders who focus on volatility and range analysis.
Anyone looking for a clear and customizable way to visualize candle ranges.
This description highlights the key features, benefits, and usability of your indicator, making it appealing to other TradingView members. Let me know if you'd like to tweak it further! 😊
Sklarew Rule of 7 (with alternative multipliers)Sklarew’s Rule of 7 – A Framework for Projecting Price Movements:
The Rule of 7 is a price projection method developed by Arthur Sklarew, a technical analyst and trader. It is designed to estimate how far a breakout move may extend after price breaks out from a key level.
How the Rule of 7 Works
The method assumes that price moves in measured expansions, using a base move (initial breakout movement) as a reference point. These expansions follow a set of specific multipliers applied to the base move.
Step-by-Step Calculation
1. Identify the Initial Breakout Move
This is the first leg of the trend after a breakout from consolidation.
It can be measured from a swing low to swing high in an uptrend or vice versa in a downtrend.
2. Project Future Price Targets Using Multipliers
Sklarew’s Rule uses four price expansion levels:
1.75 × Initial Move
2.33 × Initial Move
3.50 × Initial Move
7.00 × Initial Move
These levels act as potential profit-taking zones or trend exhaustion points.
Example Calculation
Let’s assume WTI crude oil breaks out from $75 to $80, making a $5 breakout move.
Applying Sklarew’s Multipliers
Target 1: $80 + (1.75 × $5) = $88.75
Target 2: $80 + (2.33 × $5) = $91.65
Target 3: $80 + (3.50 × $5) = $97.50
Target 4: $80 + (7.00 × $5) = $115.00
These price levels provide guidance on where price may extend to and where traders might scale out of positions.
Alternative Multipliers: 1.40, 1.75, 2.33, and 3.50
Some traders modify the original multipliers for different market conditions. Using your alternative set, the projections would be:
Target 1: $80 + (1.40 × $5) = $87.00
Target 2: $80 + (1.75 × $5) = $88.75
Target 3: $80 + (2.33 × $5) = $91.65
Target 4: $80 + (3.50 × $5) = $97.50
This adjusts for different volatility environments while keeping the core principle intact.
How Sklarew’s Rule is Used in Trading
Trend Following: Confirms momentum strength & helps identify targets.
Breakout Trading: Estimates how far a breakout may run before retracing.
Institutional Strategy Influence: Market makers may structure orders around similar measured moves.
MMM MARKET CHAOS TO CLARITY INTELLIGENCE @MaxMaserati# MMM MARKET CHAOS TO CLARITY INTELLIGENCE
## Overview
The MMM MARKET CHAOS TO CLARITY INTELLIGENCE (MMM AI Pro) by MaxMaserati is a sophisticated multi-factor analysis tool that provides comprehensive market insights through a unified dashboard. This system integrates several proprietary components to detect market conditions, trends, and potential reversals.
At its core, this indicator is designed to bring clarity to market complexity by identifying meaningful patterns and establishing order within what often appears as random market chaos
The MMM Intelligence Matrix accomplishes this through its multi-layered approach:
- The MMPD system quantifies market conditions on a clear 0-100 scale, transforming complex price movements into actionable premium/discount levels
- The proprietary candle analysis (MMMC Bias) identifies specific patterns with predictive value
- The integration of volume, momentum, and multi-timeframe analysis creates a comprehensive market context
- The Hot/Cold classification system helps traders distinguish between sustainable moves and overextended conditions
What makes this indicator particularly valuable is how it synthesizes multiple technical factors into clear visual signals and classifications. Instead of leaving traders to interpret numerous conflicting indicators, it presents an organized dashboard of market conditions with straightforward action zones.
## Core Components
### MMPD (Max Maserati Premium and Discount)
- Normalizes price movement on a 0-100 scale:
- **Premium (>50)**: Bullish conditions
- **Discount (<50)**: Bearish conditions
- **Extreme values (>90 or <10)**: Potential reversal zones
### MMMC (Max Maserati Model Candle) Bias
- Analyzes candle patterns to predict behavior:
- **Bullish/Bearish Body Close**: Price closes beyond previous candle's high/low
- **Bullish/Bearish Affinity**: Shows tendency toward continuation
- **Seek & Destroy**: Tests previous levels then breaks in new direction
- **Close Inside**: Closes within previous candle's range with directional bias
- **Plus/Minus**: Indicates slight tendency toward bulls/bears
### PC Strength (Previous Candle Strength)
- Measures percentage power of recent candlesticks
- Analyzes strength across multiple previous candles (PC1, PC2, PC3)
### MVM (Market Volatility Momentum)
- Adaptive moving averages system analyzing multiple timeframes:
- **Short context (8 bars)**: Immediate direction
- **Medium context (21 bars)**: Intermediate validation
- **Long context (55 bars)**: Primary trend confirmation
- **Higher timeframe**: Additional confirmation
### Volume Intelligence System
- Adaptive algorithm comparing current volume to 20-period average
- Identifies significant volume events and thresholds
### Hot/Cold Momentum Classification
- **Strong Bullish/Bearish (Hot)**: Potentially overextended
- **Strong Bullish/Bearish (Cold)**: Strong with room to continue
- **Bullish/Bearish Momentum**: Clear directional bias
- **Mild Bullish/Bearish**: Weak directional bias
### HVC (Highest Volume Candles) Detection
- Triangle markers and sequential stars indicate significant volume-confirmed movements
- Signals potential trend changes and continuation setups
## Dashboard Interface
The customizable dashboard displays:
1. **MMMC Bias**: Candle pattern analysis and direction
2. **Delta MA**: Buy/sell pressure with directional arrows
3. **PC Strength**: Percentage strength of previous candles
4. **Current Trend**: Overall market bias state
5. **MMPD Bias**: Premium/discount context
6. **Short/Medium/Long Term**: Price change percentages
7. **Trend Quality**: Reliability rating
8. **Volume Strength**: Classification (High/Medium/Low)
9. **MMPD Values**: Current level with direction indicator
10. **HTF Trend**: Higher timeframe confirmation
11. **Trend Strength**: Overall momentum measurement
12. **Action Zone**: Trading zone classification
13. **Momentum Strength**: Hot/Cold status
## MMPD Value Classifications
- **EXTREME PREMIUM (>90) ⚠️**: Extremely overbought
- **HIGH PREMIUM (80-90) ↗**: Strong bullish (caution)
- **PREMIUM (65-80) ↗**: Healthy bullish zone
- **LIGHT PREMIUM (50-65) →**: Mild bullish territory
- **LIGHT DISCOUNT (35-50) →**: Mild bearish territory
- **DISCOUNT (20-35) ↘**: Healthy bearish zone
- **HIGH DISCOUNT (10-20) ↘**: Strong bearish (caution)
- **EXTREME DISCOUNT (<10) ⚠️**: Extremely oversold
## Action Zone Classifications
- **MASSIVE BUY/SELL ZONE ★★★**: Very strong bias (Strength >5.0)
- **STRONG BUY/SELL ZONE ★★**: Strong bias (Strength >3.0)
- **MEDIUM BUY/SELL ZONE ★**: Moderate bias (Strength >2.0)
- **LIGHT BUY/SELL ZONE ⋆**: Mild bias (Strength >1.0)
- **SUPER LIGHT BUY/SELL ZONE ·**: Weak bias (Strength <1.0)
- **NEUTRAL ZONE**: No clear directional bias
## Visual Signals
1. **Triangle Markers**: HVC system directional signals (up/down)
2. **Sequential Stars (★)**: Advanced confirmation signals following trend changes
3. **High Volume Highlighting**: Optional candle emphasis for volume events
## Entry Conditions
### Strong Buy Setup
- MMPD Values: PREMIUM or LIGHT PREMIUM
- Hot/Cold Status: "⚠️ Strong Bullish (Cold)" or "↗️ Bullish Momentum"
- Action Zone: MASSIVE or STRONG BUY ZONE
- Volume Strength: High or Medium
- Current Trend: Strong Bullish or Bullish
### Strong Sell Setup
- MMPD Values: DISCOUNT or LIGHT DISCOUNT
- Hot/Cold Status: "⚠️ Strong Bearish (Cold)" or "↘️ Bearish Momentum"
- Action Zone: MASSIVE or STRONG SELL ZONE
- Volume Strength: High or Medium
- Current Trend: Strong Bearish or Bearish
## Exit Conditions
### Exit Long Positions When
- Hot/Cold Status changes to "⚠️ Strong Bullish (Hot)" or "↘️ Bearish Momentum"
- MMPD Values shows EXTREME PREMIUM or HIGH PREMIUM
- Action Zone changes to NEUTRAL ZONE or any SELL ZONE
- Current Trend shows "Bearish Reversal" or "Exiting Overbought"
### Exit Short Positions When
- Hot/Cold Status changes to "⚠️ Strong Bearish (Hot)" or "↗️ Bullish Momentum"
- MMPD Values shows EXTREME DISCOUNT or HIGH DISCOUNT
- Action Zone changes to NEUTRAL ZONE or any BUY ZONE
- Current Trend shows "Bullish Reversal" or "Exiting Oversold"
## Position Sizing Guidelines
- **Full Position (100%)**: Action Zone ★★★/★★, normal momentum, High volume
- **Reduced Position (50-75%)**: "Cold" signal, Action Zone ★, Medium volume
- **Small Position (25-50%)**: Action Zone ⋆, Medium/Low volume, mixed signals
- **No Position**: "Hot" signal, NEUTRAL zone, Low volume
## Special Trade Setups
### Reversal Setups
- **Bullish Reversal**: Transition from EXTREME DISCOUNT, Hot→Cold change, emerging buy signal, high volume
- **Bearish Reversal**: Transition from EXTREME PREMIUM, Hot→Cold change, emerging sell signal, high volume
### Continuation Setups
- **Bullish Continuation**: PREMIUM range, "Cold" signal, strong volume, timeframe alignment, clear Action Zone
- **Bearish Continuation**: DISCOUNT range, "Cold" signal, strong volume, timeframe alignment, clear Action Zone
## Sequential Stars System
- **Sequential Buy Signal**: Bullish star after bearish trend, volume confirmation
- **Sequential Sell Signal**: Bearish star after bullish trend, volume confirmation
## Best Practices
- Check multiple timeframes (prioritize when all align)
- Validate with volume (High >2.5x, Medium >1.2x)
- Assess trend quality (Strong ★★★, Confirmed ★★, Warning ⚠, Transition ↕)
- Handle inside bars/consolidation with additional confirmation
## Technical Considerations
- Based on closed candles for calculations
- Requires reliable volume data
- Higher sensitivity settings may produce more frequent signals
- Extreme readings indicate potential turning points
- Sequential stars require proper trend changes for activation
## Indicator Applicability
- **Markets**: Forex, Crypto, Stocks, Futures, Commodities
- **Timeframes**: 1H+ recommended, 4H/Daily for primary analysis
*Intended for use with the full MMM system. Trading decisions require proper knowledge and risk management.*
Smart Buy/Sell Signal IndicatorOverview
The Smart Buy/Sell Signal Indicator is a multi-factor trading tool that i ntegrates Supertrend, Bollinger Bands, RSI, ADX, and Moving Averages to generate high-probability buy and sell signals. Unlike simple crossover-based strategies, this indicator leverages multiple layers of confirmation to reduce false signals and improve trade execution accuracy.
This indicator is designed for trend-following traders, scalpers, and swing traders, helping them identify key reversal points and momentum shifts with precise breakout conditions.
How It Works
The Smart Buy/Sell Signal Indicator filters out weak trade signals by combining trend, volatility, momentum, and strength indicators in the following manner:
✅ Supertrend-Based Trend Filtering:
• The script checks if the price is above or below the Supertrend level before confirming a buy or sell signal.
• Buy signals occur below the Supertrend Down level, confirming support.
• Sell signals occur above the Supertrend Up level, confirming resistance.
✅ Bollinger Bands for Overbought & Oversold Conditions:
• Buy signals are confirmed when price touches the Bollinger Lower Band (suggesting oversold conditions).
• Sell signals are confirmed when price touches the Bollinger Upper Band (suggesting overbought conditions).
• This ensures that trades occur at high-probability reversal zones, rather than random price action.
✅ RSI Momentum Confirmation:
• Buy trades trigger when RSI is below 50 (indicating strength building from an oversold region).
• Sell trades trigger when RSI is above 50 (indicating weakness forming in an overbought region).
• This ensures signals are momentum-backed and not counter-trend moves.
✅ ADX Strength Confirmation:
• The script filters signals using the ADX (Average Directional Index) to ensure that only trades with sufficient market strength are executed.
• If the ADX value is below a threshold (default: 15), the signal is ignored to prevent false breakouts in choppy markets.
✅ Confirmation Moving Average (MA) for Trend Validation:
• The script applies an additional confirmation filter using a Moving Average (SMA/EMA).
• Buy signals trigger only when the price is above the MA, aligning with trend direction.
• Sell signals trigger only when the price is below the MA, ensuring alignment with the broader market structure.
✅ Trade Cooldown Mechanism (Minimum Bars Between Signals):
• To avoid frequent signals in sideways markets, a cooldown period is implemented.
• Default: 5 bars between signals (adjustable).
• Prevents rapid consecutive trades, reducing false entries.
Key Features
✔️ Supertrend & Moving Average Confirmation – Ensures trades are taken only in the correct trend direction.
✔️ Bollinger Bands Integration – Helps identify high-probability reversal zones.
✔️ ADX Strength Filtering – Ensures trades are only executed when the market has enough strength.
✔️ Momentum-Based RSI Filtering – Avoids counter-trend trades and confirms directional strength.
✔️ Trade Cooldown Mechanism – Reduces overtrading and noise in sideways markets.
✔️ Webhook Alerts for Automation – Auto-execute trades or receive real-time notifications.
✔️ Customizable Inputs – Adjustable thresholds, EMA/SMA length, ADX filter, cooldown period for flexibility.
✔️ Works Across Multiple Timeframes – Suitable for scalping (5m, 15m), swing trading (1H, 4H), and position trading (Daily).
How to Use
📌 Scalping & Intraday Trading:
• Use on 5m, 15m, or 30m timeframes.
• Look for Bollinger Band touch + RSI confirmation + Supertrend support/resistance validation before entering trades.
📌 Swing Trading:
• Use on 1H or 4H timeframes.
• Enter only when ADX is strong and price aligns with Supertrend direction.
📌 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Why This Combination?
This indicator is not just a simple moving average crossover tool.
It is designed to filter out weak breakouts and only execute trades that have:
✅ Trend confirmation (Supertrend + Moving Average)
✅ Volatility filtering (Bollinger Bands for overbought/oversold confirmation)
✅ Momentum validation (RSI threshold filtering)
✅ Market strength requirement (ADX ensures sufficient momentum)
This multi-layered approach ensures that only the highest-quality setups are executed, improving both win rate and reliability.
Why It’s Worth Using?
🚀 Reduces False Breakouts – Avoids weak breakouts by requiring ADX confirmation.
🚀 Works in All Market Conditions – Trend-following logic for trending markets, volatility-based entries for reversals.
🚀 Customizable to Any Trading Style – Adjustable parameters for trend, momentum, and strength filtering.
🚀 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
🚀 Ready to trade smarter?
✅ Add the Smart Buy/Sell Signal Indicator to your TradingView chart today! 🎯🔥
VIXRatio HistogramVIX3M-VIX Difference Histogram Indicator
Overview
This indicator measures the difference between the 3-month VIX (VIX3M) and the standard 30-day VIX, displayed as a color-coded histogram. When the histogram is green, VIX3M exceeds VIX, indicating a normal term structure. When red, the term structure is inverted.
Market Timing Benefits
The VIX3M-VIX spread serves as a powerful market timing tool for daily chart analysis:
- Green Histogram (Positive Spread) : Represents a normal volatility term structure where longer-dated volatility (VIX3M) is priced higher than short-term volatility (VIX). This typically occurs during relatively stable market conditions and signals potentially favorable environments for risk assets.
- Red Histogram (Negative Spread) : Indicates volatility term structure inversion, where short-term volatility expectations exceed longer-term expectations. This pattern often emerges during market stress and can signal heightened risk aversion.
- Transition Points : The crossing of the histogram from positive to negative (or vice versa) frequently precedes significant market turning points, offering early warning signals for potential trend changes.
- Magnitude Awareness : The size of the histogram bars indicates the intensity of the relationship – larger green bars suggest strong market confidence, while deeper red bars may signal severe market distress.
Recommended Usage
For optimal results, use this indicator on the daily timeframe alongside trend analysis and other market breadth indicators. The VIXRatio relationship has historically provided valuable context for market conditions, helping traders adjust positioning before major market shifts materialize in price action.
To fully understand its power, please refer to this article on Substack
SuperTrend + Relative Volume (Kernel Optimized)Introducing our new KDE Optimized Supertrend + Relative Volume Indicator!
This innovative indicator combines the power of the Supertrend indicator along with Relative Volume. It utilizes the Kernel Density Estimation (KDE) to estimate the probability of a candlestick marking a significant trend break or reversal.
❓How to Interpret the KDE %:
The KDE % is a crucial metric that reflects the likelihood that the current candlestick represents a true break in the SuperTrend line, supported by an increase in relative volume. It estimates the probability of a trend shift or continuation based on historical SuperTrend breaks and volume patterns:
Low KDE %: A lower probability that the current break is significant. Price action is less likely to reverse, and the trend may continue.
Moderate KDE - High KDE %: An increased possibility that a trend reversal or consolidation could occur. Traders should start watching for confirmation signals.
📌How Does It Work?
The SuperTrend indicator uses the Average True Range (ATR) to determine the direction of the trend and identifies when the price crosses the SuperTrend line, signaling a potential trend reversal. Here's how the KDE Optimized SuperTrend Indicator works:
SuperTrend Calculation: The SuperTrend indicator is calculated, and when the price breaks above (bullish) or below (bearish) the SuperTrend line, it is logged as a significant event.
Relative Volume: For each break in the SuperTrend line, we calculate the relative volume (current volume vs. the average volume over a defined period). High relative volume can suggest stronger confirmation of the trend break.
KDE Array Calculation: KDE is applied to the break points and relative volume data:
Define the KDE options: Bandwidth, Number of Steps, and Array Range (Array Max - Array Min).
Create a density range array using the defined number of steps, corresponding to potential break points.
Apply a Gaussian kernel function to the break points and volume data to estimate the likelihood of the trend break being significant.
KDE Value and Signal Generation: The KDE array is updated as each break occurs. The KDE % is calculated for the breakout candlestick, representing the likelihood of the trend break being significant. If the KDE value exceeds the defined activation threshold, a darker bullish or bearish arrow is plotted after bar confirmation. If the KDE value falls below the threshold, a more transparent arrow is drawn, indicating a possible but lower probability break.
⚙️Settings:
SuperTrend Settings:
ATR Length: The period over which the Average True Range (ATR) is calculated.
Multiplier: The multiplier applied to the ATR to determine the SuperTrend threshold.
KDE Settings:
Bandwidth: Determines the smoothness of the KDE function and the width of the influence of each break point.
Number of Bins (Steps): Defines the precision of the KDE algorithm, with higher values offering more detailed calculations.
KDE Threshold %: The level at which relative volume is considered significant for confirming a break.
Relative Volume Length: The number of historic candles used in calculating KDE %
G-VIDYA | QuantEdgeBIntroducing G-VIDYA by QuantEdgeB
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🔹 Overview
The G-VIDYA | QuantEdgeB is a dynamic trend-following indicator that enhances market trend detection using Gaussian smoothing and an adaptive Variable Index Dynamic Average (VIDYA). It is designed to reduce noise, improve responsiveness, and adapt to volatility, making it a powerful tool for traders looking to capture long-term trends efficiently.
By integrating ATR-based filtering, the indicator creates a dynamic support and resistance band around VIDYA, allowing for more accurate trend confirmations. Additionally, traders have the option to enable trade labels for clearer visual signals.
This indicator is well-suited for medium to long-term trend traders, combining mathematical precision with market adaptability for robust trading strategies.
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🚀 Key Features
1. Gaussian Smoothing → Reduces market noise and smoothens price action.
2. VIDYA Adaptive Calculation → Adjusts dynamically based on market volatility.
3. ATR-Based Filtering → Creates a volatility-driven range around VIDYA.
4. Dynamic Trend Confirmation → Identifies bullish and bearish momentum shifts.
5. Trade Labels (Optional) → Can display Long/Cash labels on chart for better clarity.
6. Customizable Color Modes → Offers multiple visual themes for personalized experience.
7. Automated Alerts → Sends buy/sell alerts for crossover trend changes.
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📊 How It Works
1. Gaussian Smoothing is applied to the closing price to remove noise and improve signal clarity.
2. VIDYA Calculation dynamically adjusts to price movements, making it more reactive during high-volatility periods and stable in low-volatility environments.
3. ATR-Based Filtering establishes a dynamic range (Upper & Lower ATR Bands) around VIDYA:
- If price breaks above the upper ATR band, it signals a potential long trend.
- If price breaks below the lower ATR band, it signals a potential short trend.
4. The indicator assigns color-coded candles based on trend direction:
- Bullish Trend → Blue/Green (Uptrend)
- Bearish Trend → Red/Maroon (Downtrend)
5. Labels & Alerts (Optional)
- Users can activate Long/Cash labels to mark buy/sell opportunities.
- Built-in alerts trigger automatic notifications when trend direction changes.
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🎨 Visual Representation
- VIDYA Line → A smooth, trend-following line that dynamically adjusts to market conditions.
- Upper & Lower ATR Bands → Establishes a volatility-based corridor around VIDYA.
- Bar Coloring → Candles change color according to the detected trend.
- Long/Short Labels (Optional) → Displays trade entry/exit signals (can be enabled/disabled).
- Alerts → Generates trade notifications based on trend reversals.
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⚙️ Default Settings
- Gaussian Smoothing
- Length: 4
- Sigma: 2.0
- VIDYA Settings
- VIDYA Length: 46
- Standard Deviation Length: 28
- ATR Settings
- ATR Length: 14
- ATR Multiplier: 1.3
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💡 Who Should Use It?
✅ Trend Traders → Those who rely on medium-to-long-term trends for trading decisions.
✅ Swing Traders → Ideal for traders who want to capture trend reversals and ride momentum.
✅ Quantitative Analysts → Provides statistically driven smoothing and adaptive trend detection.
✅ Risk-Averse Traders → ATR filtering helps manage market volatility effectively.
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Conclusion
The G-VIDYA | QuantEdgeB is an advanced trend-following indicator that combines Gaussian smoothing, adaptive VIDYA filtering, and ATR-based dynamic trend analysis to deliver robust and reliable trade signals.
✅ Key Takeaways
📌 Adaptive & Dynamic: Adjusts to market conditions, making it effective for trend-following strategies.
📌 Noise Reduction: Gaussian smoothing helps filter out short-term fluctuations, improving signal clarity.
📌 Volatility Awareness: ATR-based filtering ensures better handling of market swings and trend reversals.
By blending mathematical precision and quantitative market analysis, G-VIDYA | QuantEdgeB offers a powerful edge in trend trading strategies.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
VIDYA For-Loop | QuantEdgeB Introducing VIDYA For-Loop by QuantEdgeB
Overview
The VIDYA For-Loop indicator by QuantEdgeB is a dynamic trend-following tool that leverages Variable Index Dynamic Average (VIDYA) along with a rolling loop function to assess trend strength and direction. By utilizing adaptive smoothing and a recursive loop for threshold evaluation, this indicator provides a more responsive and robust signal framework for traders.
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Key Components & Features
📌 VIDYA (Variable Index Dynamic Average)
- Adaptive Moving Average that adjusts its responsiveness based on market volatility.
- Uses a dynamic smoothing constant based on standard deviations.
- Allows for better trend detection compared to static moving averages.
📌 Loop Function (Rolling Calculation)
- A for-loop algorithm continuously compares VIDYA values over a defined lookback range.
- Measures the number of times price trends higher or lower within the rolling window.
- Generates a momentum-based score that helps quantify trend persistence.
📌 Trend Signal Calculation
- A long signal is triggered when the loop score exceeds the upper threshold.
- A short signal is triggered when the loop score falls below the lower threshold.
- The result is a clear directional bias that adapts to changing market conditions.
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How It Works in Trading
✅ Detects Trend Strength – By measuring cumulative movements within a window.
✅ Filters Noise – Uses adaptive smoothing to avoid whipsaws.
✅ Dynamic Thresholds – Enables customized entry & exit conditions.
✅ Color-Coded Candles – Provides visual clarity for traders.
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Visual Representation
Trend Signals:
🔵 Blue Candles – Strong Uptrend
🔴 Red Candles – Strong Downtrend
Thresholds:
📈 Long Threshold – Upper bound for bullish confirmation.
📉 Short Threshold – Lower bound for bearish confirmation.
Labels & Annotations (Optional):
✅ Long & Short Labels can be turned on or off for trade signal clarity.
📊 Display of entry & exit points based on loop calculations.
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Settings:
VIDYA Length: 2 → Number of bars for VIDYA calculation.
SD Length: 5 → Standard deviation length for VIDYA calculation.
Source: Close → Defines the input data source (Close price).
Start Loop: 1 → Initial lookback period for the loop function.
End Loop: 60 → Maximum lookback range for trend scoring.
Long Threshold: 40 → Upper bound for a long signal.
Short Threshold: 10 → Lower bound for a short signal.
Extra Plots: True → Enables additional moving averages for visualization.
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Conclusion
The VIDYA For-Loop by QuantEdgeB is a next-gen adaptive trend filter that combines dynamic smoothing with recursive trend evaluation, making it an invaluable tool for traders seeking precision and consistency in their strategies.
🔹 Who should use VIDYA For Loop :
📊 Trend-Following Traders – Helps identify sustained trends.
⚡ Momentum Traders – Captures strong price swings.
🚀 Algorithmic & Systematic Trading – Ideal for automated entries & exits.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
3x Supertrend + EMA200 Signal Buy/Sell [nsen]The indicator uses signals from three Supertrend lines to determine whether to trade Buy or Sell, with the assistance of a moving average for bias.
Buy/Sell signals are generated when the conditions are met:
A Buy signal is triggered when all three Supertrend lines indicate a bullish trend and are above the EMA.
A Sell signal is triggered when all three Supertrend lines indicate a bearish trend and are below the EMA.
Indicator ใช้สัญญาณจาก Supertrend ทั้งหมด 3 เส้น โดยใช้ในการกำหนดว่าจะเลือกเทรด Buy หรือ Sell โดยการใช้ moveing average เข้ามาช่วยในการ bias
แสดงสัญญาณ Buy/Sell เมื่อเข้าเงื่อนไข
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bullish และอยู่เหนือเส้น EMA จะเปิดสัญญาณ Buy
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bearish และอยู่ใต้เส้น EMA จะเปิดสัญญาณ Sell
Volatility Price FlowCapitalize on market volatility with our new volatility price flow indicator. We have designed this indicator to process historical price movements and indicate when price may have reached exhaustion in the context of current volatility.
This is achieved by taking the price deviation from a user defined moving average, and applying a weighting to the deviations from the candle body and candle wick on both buy side and sell side, over a user defined period. The period of the base moving average, type of moving average and the period of the historical price deviations can all be modified. This creates a typical 'band' style indicator, though with a unique characteristic that the buy and sell side vary independently as well as the band expansion being based on weighted variables tied to the actual price changes, rather than just a standard deviation the moves uniformly.
Additionally, these bands can be merged with an anchored vwap - we do this so that the deviations of price from the moving average can include a more volume based approach to identifying potential pivots.
The end result is an indicator that reflects the current market price movements, identifies and capitalizes on impulsive or beginning moves to indicate potential tops / bottoms / reversals.
The signals are simple - anytime price closes within a band, having been outside the band, a signal is displayed. As a basic guide to setting the indicator up for the first time, we suggest reducing all of the multipliers to a value less than 1. Then gradually increase each one, until the signals reduce in quantity and improve in quality, starting with the price deviation multiplier, then the volatility multiplier and finally the expansion multiplier.
Last of all, alerts can be created based on the current chart timeframe and indicator settings, simply by adding an alert that uses the built in buy or sell signal.
Note: We cannot guarantee the accuracy of the signals provided, since the user creates the signals by modifying the settings, and as such we can take no responsibility for any trading losses incurred using the indicator and highly encourage all users to manage their risk and only risk what you can afford to lose.
25-75 Percentile SuperTrend | Mattes25-75 Percentile SuperTrend | Mattes
Overview
The 25-75 Percentile SuperTrend is an advanced trend-following indicator that enhances the traditional SuperTrend concept by incorporating percentile-based smoothing. Instead of using a simple moving average or median price, this indicator calculates the 25th and 75th percentiles over a user-defined period. These percentiles act as dynamic trend levels, adjusting more responsively to price volatility while reducing noise.
How It’s Calculated
Percentile Smoothing:
The 25th percentile of the selected source (low-end smoothing).
The 75th percentile of the selected source (high-end smoothing).
SuperTrend Logic:
The upper band is set at the 75th percentile + ATR multiplier.
The lower band is set at the 25th percentile - ATR multiplier.
The trend flips when the price crosses above/below these dynamic bands.
Signal Generation :
A bullish trend occurs when price remains above the lower band.
A bearish trend occurs when price remains below the upper band.
Trend shifts are highlighted with colored bars and lines for easy visualization.
How It Differs From Traditional SuperTrend
Uses Percentiles Instead of a Moving Average:
Traditional SuperTrend relies on ATR-based offsets from a moving average.
This version replaces the moving average with percentile smoothing, which adapts better to price behavior.
Better Noise Filtering:
Since percentiles are less sensitive to outliers, this indicator reduces false signals in choppy markets.
More Adaptive to Market Conditions:
The percentile smoothing dynamically adjusts trend detection based on price distribution rather than fixed calculations.
Why It’s Useful
✅ Reduces Whipsaws: Helps minimize false breakouts by using percentile-based bands instead of traditional ATR-only bands.
✅ Works in Different Market Conditions: Effective in both trending and ranging environments due to its adaptive nature.
✅ Enhances Trend Confidence: Provides clearer signals by filtering noise more effectively than standard SuperTrend indicators.
Application Examples
Trend Following: Use it to identify strong upward or downward trends.
Stop-Loss Placement: The upper and lower bands can serve as dynamic stop-loss levels.
Breakout Confirmation: Trend flips can confirm breakout signals from other indicators.
Mean Reversion Strategy Filtering: The 25-75 range helps identify strong versus weak reversals.
Risks & Disclaimers
Not a Standalone Strategy: This indicator should be used with other confirmation tools like volume analysis, momentum oscillators, or support/resistance levels.
False Signals in Sideways Markets: Although it reduces noise, choppy markets can still generate occasional false trend flips.
Market Adaptation Required: The best parameters may vary depending on the asset and timeframe.
This indicator was heavily inspired and influenced by the IRS/viResearch Median SuperTrend, improving upon its concept by transforming its median based calculation into a more responsive & effective counterpart of its former self.
Shoutout to all my Masterclass Brothers and L4 Gs !
Advanced Candlestick Pattern DetectorWhat Does This Indicator Do?
This indicator looks at the way price moves in the market using candlesticks (those red and green bars you see on charts). It tries to find special patterns like Bullish Engulfing, Hammer, Doji, and others. When one of these patterns shows up, the indicator checks a bunch of filters to decide if the pattern is strong enough to be a signal to buy or sell.
The Main Parts of the Indicator
1. Candlestick Pattern Detection
Bullish Engulfing:
Imagine you see a small down candle (red) and then a big up candle (green) that completely “covers” the red one. That’s a bullish engulfing pattern. It can signal that buyers are taking over.
Bearish Engulfing:
The opposite of bullish engulfing. A small up candle (green) is followed by a big down candle (red) that covers the previous candle. This suggests sellers might be in control.
Hammer & Shooting Star:
Hammer: A candle with a very short body and a long shadow at the bottom. It shows that buyers stepped in after a drop.
Shooting Star:
Similar to the hammer but with a long shadow on top. It can indicate that sellers are starting to push the price down.
Doji:
A candle with almost no body. This means the opening and closing prices are very close. It shows indecision in the market.
Harami Patterns (Bullish & Bearish):
These are two-candle patterns where the second candle is completely inside the body of the first candle. They signal that the previous trend might be about to change.
Morning Star & Evening Star:
These are three-candle patterns.
Morning Star:
Often seen at the bottom of a downtrend, it can signal a reversal to an uptrend.
Evening Star:
Seen at the top of an uptrend, it can signal that the price may soon go down.
2. Filters: Making the Signals Smarter
The indicator doesn’t just rely on patterns. It uses several “filters” to decide if a pattern is strong enough to trade on. Here’s what each filter does:
a. Adaptive Thresholds (ATR-Based)
What It Is:
The indicator uses something called ATR (Average True Range) to see how much the price is moving (volatility).
How It Works:
Instead of using fixed numbers to decide if a candle is a Hammer or a Doji, it adjusts these numbers based on current market activity.
User Settings:
Use Adaptive Thresholds: Turn this on to let the indicator adjust automatically.
Body Factor, Shadow Factor, Doji Factor: These numbers are multipliers that decide how small or big the body and shadows of the candle should be. You can change them if you want the indicator to be more or less sensitive.
b. Volume Filter
What It Is:
Volume shows how many trades are happening.
How It Works:
The filter checks if the current volume is higher than the average volume (multiplied by a set factor). This helps ensure that the signal isn’t coming from a very quiet market.
User Settings:
Use Volume Filter: Turn this on if you want to ignore signals when there’s not much trading.
Volume MA Period & Volume Multiplier: These settings determine what “normal” volume is and how much higher the current volume must be to count.
c. Multi-Timeframe Trend Filter
What It Is:
This filter looks at a bigger picture by using a moving average (MA) from a higher timeframe (for example, daily charts).
How It Works:
For a bullish (buy) signal, the indicator checks if the price is above this MA.
For a bearish (sell) signal, the price must be below the MA.
User Settings:
Use Multi-Timeframe Trend Filter: Enable or disable this filter.
Higher Timeframe for Trend: Choose which timeframe (like Daily) to use.
Trend MA Type (SMA or EMA) & Trend MA Period: Choose the type of moving average and how many candles to average.
d. Additional Trend Filters (ADX & RSI)
ADX Filter:
What It Is:
ADX stands for Average Directional Index. It measures how strong a trend is.
How It Works:
If the ADX is above a certain threshold, it means the trend is strong.
User Setting:
ADX Threshold: Set the minimum strength the trend should have.
RSI Filter:
What It Is:
RSI (Relative Strength Index) tells you if the price is overbought (too high) or oversold (too low).
How It Works:
For a buy signal, RSI should be low (under a set threshold).
For a sell signal, RSI should be high (above a set threshold).
User Settings:
RSI Buy Threshold & RSI Sell Threshold: These set the levels for buying or selling.
3. How the Final Signal Is Determined
For a signal (buy or sell) to be generated, the indicator first checks if one of the candlestick patterns is present. Then it goes through all these filters (trend, volume, ADX, RSI). Only if everything is in line will it show:
A BUY signal when all bullish conditions are met.
A SELL signal when all bearish conditions are met.
4. Visual Elements on the Chart
Trend MA Line:
A blue line is drawn on your chart showing the moving average from the higher timeframe (if you enable the trend filter). This helps you see the overall direction of the market.
Labels on the Chart:
When a signal is detected, you’ll see:
A BUY label below the candle (green).
A SELL label above the candle (red).
Background Colors:
The chart background might change slightly (green for bullish and red for bearish) to give you a quick visual cue.
Histogram:
At the bottom, there is a histogram that shows +1 for bullish signals, -1 for bearish signals, and 0 when there’s no clear signal.
5. Alerts
Alerts are built into the indicator so you can get a notification when a signal appears. The alert messages are fixed strings, meaning they always say something like “BUY signal on at price .” You can set up these alerts in TradingView to be notified via sound, email, or pop-up.
How to Use and Adjust the Filters
Deciding on Patterns:
You can choose which candlestick patterns you want to detect by toggling the options (e.g., Bullish Engulfing, Hammer, etc.).
Adjusting Adaptive Thresholds:
If you feel that the indicator is too sensitive (or not sensitive enough) during volatile times, adjust the Body Factor, Shadow Factor, and Doji Factor. These change how the indicator recognizes different candle shapes based on market movement.
Volume Filter Settings:
Use Volume Filter:
Turn this on if you want to ignore signals when there’s not enough trading activity.
Adjust the Volume MA Period and Volume Multiplier to change what “normal” volume is for your chart.
Multi-Timeframe Trend Filter Settings:
Choose a higher timeframe (like Daily) to see the bigger picture trend. Select the type of moving average (SMA or EMA) and its period. This filter ensures you only trade in the direction of the overall trend.
ADX & RSI Filters:
ADX:
Adjust the ADX Threshold if you want to change the minimum strength of the trend needed for a signal.
RSI:
Set the RSI Buy Threshold (for oversold conditions) and RSI Sell Threshold (for overbought conditions) to refine when a signal is valid.
Summary
This indicator is like having a smart assistant that not only looks for specific price patterns (candlesticks) but also checks if the overall market conditions are right using several filters. By combining:
Pattern Detection
Adaptive thresholds (based on ATR)
Volume Checks
Multi-Timeframe Trend Analysis
Additional Trend Strength and Overbought/Oversold Indicators (ADX & RSI)
...it helps you decide if it might be a good time to buy or sell. You can customize each part to fit your trading style, and with the built-in alerts, you can be notified when everything lines up.
Feel free to adjust the settings to see how each filter changes the signals on your chart. Experimenting with these will help you learn how the market behaves and how you can best use the indicator for your own strategy!
