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Dual SD Median | QuantEdgeB

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Introducing Dual SD Median by QuantEdgeB

The Dual SD Median indicator is a powerful statistical tool designed to enhance market analysis through median-based trend detection and standard deviation filtering. By leveraging median price smoothing, adaptive standard deviation bands, and normalized statistical filtering, it provides traders with a structured approach to identifying breakouts, reversals, and stable market trends.

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1. Key Features

🔹 Median-Based Trend Calculation: Uses the median price instead of simple moving averages to create a more robust and stable trend baseline, reducing noise in volatile markets.

🔹 Standard Deviation Bands: Dynamically adjusts upper and lower bands based on market volatility, helping traders spot key breakout zones and trend reversals.

🔹 Normalized Filtering: Incorporates a normalized median structure, ensuring that trends are identified with greater accuracy, and filtering out insignificant price fluctuations.

🔹 Multi-Market Adaptability: Optimized for crypto, but its calibration settings allow adaptation to other markets through adjustable SD multipliers and other inputs.

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2. How It Works

The Dual SD Median calculates a smoothed median price over a defined period, providing a stable central value for trend tracking. It then applies standard deviation bands to dynamically adjust to market conditions.

To further enhance precision, the indicator normalizes the median price against the underlying asset’s price fluctuations, ensuring that only significant trend shifts trigger signals.

Long & Short Signals:
✔ Long Signal: Triggered when the price breaks above both the upper SD median band and the normalized median threshold.
✔ Short Signal: Activated when the price drops below the lower SD median band and the normalized threshold.

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3. How to Use it

📌 Trend Confirmation: Use this indicator to confirm trends by observing breakouts beyond the SD bands. A strong price move past the median SD zone signals potential continuation.

📌 Reversal Identification: If price moves aggressively into SD bands but fails to sustain momentum, it may indicate overextension and reversal potential.

📌 Volatility-Based Trading: Traders can adjust the SD multipliers to match different asset classes and market conditions.

📌 Cross-Market Applicability: While optimized for crypto, the system can be fine-tuned for stocks, forex, and commodities through custom parameter adjustments.

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4. Customization Options

⚙️ SD Median Length (Default: 14) – Defines the median price calculation window.
⚙️ Normalized Median Length (Default: 50) – Smooths long-term trends for stability.
⚙️ Standard Deviation Length (Default: 30) – Adjusts volatility sensitivity.
⚙️ SD Multipliers (Default: 0.98 for Longs, 1.06 for Shorts) – Determines breakout thresholds.
⚙️ Smoothing Factors (Default: 1) – Fine-tunes signal sensitivity.

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Conclusion

The Dual SD Median is a versatile, statistically-driven tool that helps traders navigate volatile market conditions with greater accuracy. By combining median smoothing, standard deviation filtering, and normalized trend detection, it reduces noise while maintaining responsiveness to price movements.


🔹 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.
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Le informazioni ed i contenuti pubblicati non costituiscono in alcun modo una sollecitazione ad investire o ad operare nei mercati finanziari. Non sono inoltre fornite o supportate da TradingView. Maggiori dettagli nelle Condizioni d'uso.