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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.
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.
______
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.
______
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.
______
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.
______
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.
______
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.
開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
🔹 Get access to our premium tools:
whop.com/quantedgeb/ 💎
🔹 Unlock our free toolbox:
tradinglibrary.carrd.co/ 🛠️
Disclaimer: All resources and indicators provided are for educational purposes only
whop.com/quantedgeb/ 💎
🔹 Unlock our free toolbox:
tradinglibrary.carrd.co/ 🛠️
Disclaimer: All resources and indicators provided are for educational purposes only
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。
開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
🔹 Get access to our premium tools:
whop.com/quantedgeb/ 💎
🔹 Unlock our free toolbox:
tradinglibrary.carrd.co/ 🛠️
Disclaimer: All resources and indicators provided are for educational purposes only
whop.com/quantedgeb/ 💎
🔹 Unlock our free toolbox:
tradinglibrary.carrd.co/ 🛠️
Disclaimer: All resources and indicators provided are for educational purposes only
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。