Gaussian Volatility Adjusted

3 gün önce

Key Features:Gaussian Smoothing: Applies a Gaussian filter to smooth price data (based on EMA or raw close prices), reducing noise while preserving trend information.

Volatility Adjustment: Uses ATR and standard deviation to create dynamic upper and lower bands around the smoothed price, adapting to market volatility.

Trend Detection: Identifies bullish (price above lower band) or bearish (price below upper band) trends, with additional confirmation using standard deviation thresholds.

Momentum Analysis: Measures momentum by calculating the price difference from key levels (upper band for bullish, Gaussian + standard deviation for bearish).

EMA Confluence: Optionally integrates an EMA of the momentum difference to confirm trend signals, enhancing accuracy.

Visual Output: Plots a zero line and an EMA line colored green (bullish) or red (bearish), with bar coloring to visually indicate trend direction.

3 gün önce

Sürüm Notları

Key Features:
Gaussian Smoothing: Applies a Gaussian filter to smooth price data (based on EMA or raw close prices), reducing noise while preserving trend information.

Volatility Adjustment: Uses ATR and standard deviation to create dynamic upper and lower bands around the smoothed price, adapting to market volatility.

Trend Detection: Identifies bullish (price above lower band) or bearish (price below upper band) trends, with additional confirmation using standard deviation thresholds.

Momentum Analysis: Measures momentum by calculating the price difference from key levels (upper band for bullish, Gaussian + standard deviation for bearish).

EMA Confluence: Optionally integrates an EMA of the momentum difference to confirm trend signals, enhancing accuracy.

Visual Output: Plots a zero line and an EMA line colored green (bullish) or red (bearish), with bar coloring to visually indicate trend direction.