OPEN-SOURCE SCRIPT

Best Fit Linear Regression with StdDev Bands

210
Best Fit Linear Regression with Standard Deviation Bands​

The Best Fit Linear Regression with StdDev Bands is a custom TradingView indicator designed to analyze price trends and volatility over a specified number of bars. It plots a linear regression line representing the best fit for the selected price data, accompanied by optional standard deviation bands to visualize price dispersion.​

📈 Key Features
Linear Regression Line: Calculates the best-fit line over a user-defined number of bars, providing a clear visualization of the prevailing price trend.​
TradingView

Standard Deviation Bands: Optional upper and lower bands set at a multiple of the standard deviation from the regression line, indicating potential support and resistance levels.​

Price Source Selection: Choose between using the closing price or the midpoint (average of high and low) for calculations.​

Weighting Options: Apply True Range weighting to emphasize periods of higher volatility in the regression calculation.​

Trend Strength Indicator: Displays a normalized strength value between -1 and 1, indicating the direction and magnitude of the trend.​

Customizable Appearance: Adjust line color, width, label position, and background color to suit your preferences.​

Extendable Lines: Option to extend the regression and standard deviation lines beyond the visible bars for projection purposes.​

⚙️ Input Parameters
Bars to Analyze: Number of bars to include in the regression calculation (default: 100).​

Price Value: Select "Close" or "Midpoint" as the data source for calculations.​

Weighting Method: Choose between "None" or "True Range" weighting.​

Line Color & Width: Customize the color and thickness of the regression line.​

Label Position: Place the informational label at the start, center, or end of the regression line.​

Label Background Color: Set the background color for the informational label.​

Extend Line Beyond Visible Bars: Option to project the regression line into future bars.​

Show Standard Deviation Bands: Toggle the visibility of the standard deviation bands.​

Standard Deviation Multiplier: Set the multiplier for the standard deviation bands (default: 1.0).​

StdDev Bands Color: Customize the color and transparency of the standard deviation bands.​

🧮 How It Works
Data Collection: Gathers price data based on the selected source (Close or Midpoint) over the specified number of bars.​

Weighting (Optional): Applies True Range weighting if selected, giving more importance to bars with higher volatility.​

Regression Calculation: Computes the slope and intercept of the best-fit line using the least squares method.​

Standard Deviation: Calculates the standard deviation of the price data from the regression line to determine the dispersion.​

Plotting: Draws the regression line and, if enabled, the upper and lower standard deviation bands.​

Labeling: Displays a label indicating the trend direction (Bullish, Bearish, or Neutral), strength percentage, and standard deviation value.​

📊 Interpretation
Trend Direction: The slope of the regression line indicates the trend direction.​

Trend Strength: The normalized strength value provides insight into the magnitude of the trend.​

Price Position: Prices near or beyond the standard deviation bands may indicate overbought or oversold conditions.​
TradingView

🛠️ Use Cases
Trend Analysis: Identify and confirm the direction and strength of market trends.​

Volatility Assessment: Gauge market volatility through the width of the standard deviation bands.​

Support and Resistance: Use the standard deviation bands to identify potential support and resistance levels.​

Trade Timing: Assist in determining optimal entry and exit points based on price interaction with the regression line and bands.​

This indicator is particularly useful for traders seeking a statistical approach to trend analysis, offering customizable options to tailor the tool to various trading strategies and preferences.

Disclaimer

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.