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PRC-VIDYA | QuantEdgeB

Introducing PRC-VIDYA by QuantEdgeB
Overview
The PRC-VIDYA(Volatility–Indexed Dynamic Average) is a sophisticated trading indicator developed for traders looking to capitalize on trend shifts with enhanced filtering mechanisms. It blends an Endpoint VIDYA filter—an adaptive, volatility-scaled moving average with percentile-based thresholds and a median-absolute-deviation buffer to craft a dynamic entry/exit envelope. Price thrusts beyond the upper or lower band generate crisp long/short signals, complete with colored fills, candle tinting, alerts and optional backtest stats
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Key Features
🔹VIDYA(Volatility–Indexed 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.
🔹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 VIDYA based on a user-defined period.
2. It computes the 75th and 25th percentile ranks of the 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
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 VIDYA 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.
🧬 Default Settings
• Endpoint VIDYA Mode: “Mid” (9 bar, 24 bar hist)
• Percentile Length: 21 bars
• Upper/Lower Percentiles: 75% / 25%
• MAD Window: 21 bars
• Upper/Lower MAD Multipliers: 1.8 / 0.9
• Visuals: Candle coloring on, labels off, “Strategy” palette
• Backtest Table: off by default
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📌 Conclusion
PRC-VIDYA fuses a volatility-aware adaptive average with percentile boundaries and a robust deviation buffer, yielding a self-adjusting channel that captures genuine breakouts and breakdowns. Its clear regime coloring, alerts and optional backtest table make it a turnkey solution for traders who want signals that breathe with the market.
🔹 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 PRC-VIDYA(Volatility–Indexed Dynamic Average) is a sophisticated trading indicator developed for traders looking to capitalize on trend shifts with enhanced filtering mechanisms. It blends an Endpoint VIDYA filter—an adaptive, volatility-scaled moving average with percentile-based thresholds and a median-absolute-deviation buffer to craft a dynamic entry/exit envelope. Price thrusts beyond the upper or lower band generate crisp long/short signals, complete with colored fills, candle tinting, alerts and optional backtest stats
____
Key Features
🔹VIDYA(Volatility–Indexed 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.
🔹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.
_____
How It Works
1. The script calculates VIDYA based on a user-defined period.
2. It computes the 75th and 25th percentile ranks of the 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.
_____
Behavior across Crypto Majors
BTC
ETH
SOL
Note: Past behaviour is not indicative of future results. Always conduct thorough testing and risk management before making trading decisions.
_____
Best Use Cases
📌 Trend Confirmation – Use VIDYA 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.
🧬 Default Settings
• Endpoint VIDYA Mode: “Mid” (9 bar, 24 bar hist)
• Percentile Length: 21 bars
• Upper/Lower Percentiles: 75% / 25%
• MAD Window: 21 bars
• Upper/Lower MAD Multipliers: 1.8 / 0.9
• Visuals: Candle coloring on, labels off, “Strategy” palette
• Backtest Table: off by default
_____
📌 Conclusion
PRC-VIDYA fuses a volatility-aware adaptive average with percentile boundaries and a robust deviation buffer, yielding a self-adjusting channel that captures genuine breakouts and breakdowns. Its clear regime coloring, alerts and optional backtest table make it a turnkey solution for traders who want signals that breathe with the market.
🔹 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.
僅限邀請腳本
只有經作者批准的使用者才能訪問此腳本。您需要申請並獲得使用權限。該權限通常在付款後授予。如欲了解更多詳情,請依照以下作者的說明操作,或直接聯絡QuantEdgeB。
除非您完全信任其作者並了解腳本的工作原理,否則TradingView不建議您付費或使用腳本。您也可以在我們的社群腳本中找到免費的開源替代方案。
作者的說明
Please check out our Whop page for access!! https://whop.com/quantedgeb/
提醒:在請求訪問權限之前,請閱讀僅限邀請腳本指南。
🔹 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。
僅限邀請腳本
只有經作者批准的使用者才能訪問此腳本。您需要申請並獲得使用權限。該權限通常在付款後授予。如欲了解更多詳情,請依照以下作者的說明操作,或直接聯絡QuantEdgeB。
除非您完全信任其作者並了解腳本的工作原理,否則TradingView不建議您付費或使用腳本。您也可以在我們的社群腳本中找到免費的開源替代方案。
作者的說明
Please check out our Whop page for access!! https://whop.com/quantedgeb/
提醒:在請求訪問權限之前,請閱讀僅限邀請腳本指南。
🔹 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。