Advanced Linear Regression Pro [PointAlgo]

13 giờ trước

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.

13 giờ trước

Phát hành các Ghi chú

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.