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Advanced Linear Regression Pro [PointAlgo]

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Advanced Linear Regression Pro is an open-source tool designed to visualize market structure using linear regression, volatility bands, and optional volume-weighted calculations.
The indicator expands the concept of regression channels by adding higher-timeframe confluence, slope analysis, imbalance detection, and breakout highlighting.


Key Features
• Volume-Weighted Regression
Weights the regression curve based on volume to highlight periods of strong participation.

• Dynamic Standard-Deviation Bands
Upper and lower bands are derived from volatility to help visualize potential expansion or contraction zones.

• Multi-Timeframe (MTF) Regression
Plots higher-timeframe regression lines and bands for additional trend context.

• Slope Strength Analysis
Helps identify whether the current regression slope is trending upward, downward, or in a neutral range.

• Order Flow Imbalance Detection
Highlights bars where price and volume move unusually fast, which may indicate liquidity voids or imbalance zones.

• Breakout Markers
Shows simple visual markers when the price closes beyond volatility bands with volume confirmation.
These are visual signals only, not trading signals.

How to Use

  • This indicator is meant for visual market analysis, such as:
  • Observing trend direction through regression slope
  • Spotting volatility expansions
  • Comparing price against higher-timeframe regression structure
  • Identifying areas where price moves rapidly with volume

It can be used on any market or timeframe.
No part of this script is intended as financial advice or a complete trading system.
ملاحظات الأخبار
Advanced Linear Regression Pro is an open-source tool designed to visualize market structure using linear regression, volatility bands, and optional volume-weighted calculations.
The indicator expands the concept of regression channels by adding higher-timeframe confluence, slope analysis, imbalance detection, and breakout highlighting.

إخلاء المسؤولية

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.