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Whether you are a Mean Reversion scalper or a Trend Following swing trader, this indicator adapts to your strategy with seven distinct statistical engines and a fully interactive interface.
This is literally the best Linear Regression Indicator out there. no matter what platform you use, you won't find a better one.
Key Features
1. Smart Memory & Persistence
Never lose your analysis again.
- Auto-Save: The indicator automatically remembers the exact position of your active channel, your preferred settings, and every "Pinned" historical channel.
- Session Continuity: You can close cTrader, switch timeframes, or change symbols. when you come back, your analysis will be exactly where you left it.
2. Great On-Chart Controls, Built-In Convenance
Stop digging through settings windows. A dedicated control panel allows you to manage the indicator directly from the chart:
- Track Mode: Instantly snaps the channel to the most recent price action, updating automatically with every new bar.
- Pin & Unpin: Found a perfect historical trend? Click "Pin" to lock it on the chart permanently. Made a mistake or pinned the wrong area? The "Unpin" button instantly removes the last pinned channel, keeping your chart clean.
- Bring V-Lines Here: Instantly moves the vertical selector lines to the center of your current view, retrieving them if they are lost off-screen or if you scrolled way to far.
- Extend Cannels: Projects the current channels forward.
- Extend Levels: Horizontally projects the most recent price levels forward.
- Auto Coloring: Automatically detects the trend direction and applies your custom colors for Up and Down channels.
3. Real-Time Statistical Scoring
Don't just guess if a trend is valid, measure it scientifically.
- Fit Meter: The indicator displays a real-time statistical score directly on the panel.
- Pearson's R (Correlation), telling you exactly how organized the trend is (e.g., -0,95 is a perfect downtrend).
- Fit R² (Coefficient of Determination), indicating how reliable the channel is.
- Pro Tip: Use this score to filter trades. If the "Fit" is below 0,70, the market is chopping; if it's above 0,90 or 0,80 it's a strong trend.
4. Multi-Dimensional Price Analysis
Most indicators only look at the "Close" price. This tool offers 5 different ways to interpret price data, allowing you to capture the full volatility of the market:
- High Density: A unique mode that treats Open, High, Low, and Close as four separate data points. This creates a channel that respects the full volatility of "wicks," providing safer entry and exit points.
- Median / Typical / Average: Smoothes out candle noise for a clearer signal.
Regression Engines Explained
This indicator includes 8 distinct mathematical models, each designed for a specific market condition:
- Normal (OLS): The standard "Best Fit" line. Ideal for general trend direction and mean reversion strategies in healthy markets.
- Raff Channel: Based on Gilbert Raff's work. Instead of standard deviation, it uses the maximum distance of price from the line to create a channel that contains all price action. Great for determining the absolute range of a trend.
- Robust Regression: Resistant to outliers. It ignores extreme spikes and "wicks" to draw a line through the core body of the price action. Perfect for filtering out news events.
- Weighted Regression: Gives more importance to recent prices. This creates a channel that reacts faster to trend changes than standard regression.
- Polynomial: A non-linear, curved regression. This flexible model bends to fit complex market structures that straight lines cannot capture.
- Theil-Sen Estimator: A non-parametric method that finds the "Median Slope" of all possible pairs of points. It is incredibly robust against market noise and crash events, often revealing the "true" structural trend.
- Quantile Regression: Instead of fitting the "Average" (Mean), this fits the "Median" (50th percentile). It draws a channel that splits price action perfectly in half, providing a highly accurate centerline for fair value analysis.
- RANSAC (Random Sample Consensus): An iterative method that builds models from random subsets of data. It aggressively filters out "noise" to find the dominant trend, making it exceptional for identifying clear market structures hidden within chaotic or choppy price action.














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