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Technical Indicator Definitions
- List of Technical Indicators
- Acceleration Bands (ABANDS)
- Accumulation/Distribution (AD)
- Average Directional Movement (ADX)
- Absolute Price Oscillator (APO)
- Aroon (AR)
- Aroon Oscillator (ARO)
- Average True Range (ATR)
- Volume on the Ask (AVOL)
- Volume on the Bid and Ask (BAVOL)
- Bollinger Band (BBANDS)
- Band Width (BW)
- Bar Value Area (BVA)
- Bid Volume (BVOL)
- Commodity Channel Index (CCI)
- Chande Momentum Oscillator (CMO)
- Double Exponential Moving Average (DEMA)
- Plus DI (DI+)
- Directional Movement Indicators (DMI)
- Ichimoku (ICH)
- Fill Indicator (FILL)
- Keltner Channel (KC)
- Linear Regression (LR)
- Linear Regression Angle (LRA)
- Linear Regression Intercept (LRI)
- Linear Regression Slope (LRM)
- Max (MAX)
- Money Flow Index (MFI)
- Midpoint (MIDPNT)
- Midprice (MIDPRI)
- Min (MIN)
- MinMax (MINMAX)
- Momentum (MOM)
- Adaptive Moving Average (AMA)
- Exponential (EMA)
- Moving Average Convergence Divergence (MACD)
- Simple Moving Average (SMA)
- T3 (T3)
- Triple Exponential Moving Average (TEMA)
- Triangular Moving Average (TRIMA)
- Triple Exponential Moving Average Oscillator (TRIX)
- Weighted Moving Average (WMA)
- Normalized Average True Range (NATR)
- On Balance Volume (OBV)
- Price Channel (PC)
- PLOT (PLT)
- Percent Price Oscillator (PPO)
- Price Volume Trend (PVT)
- Rate of Change (ROC)
- Rate of Change (ROC100)
- Rate of Change (ROCP)
- Rate of Change (ROCR)
- Relative Strength Indicator (RSI)
- Parabolic Sar (SAR)
- Session Cumulative Ask (SAVOL)
- Session Cumulative Bid (SBVOL)
- Standard Deviation (STDDEV)
- Stochastic (STOCH)
- Stochastic Fast (StochF)
- Session Volume (S_VOL)
- Time Series Forecast (TSF)
- TT Cumulative Vol Delta (TT CVD)
- Ultimate Oscillator (ULTOSC)
- Volume At Price (VAP)
- Volume Delta (Vol ∆)
- Volume (VOLUME)
- Volume Weighted Average Price (VWAP)
- Williams % R (WillR)
- Welles Wilder's Smoothing Average (WWS)
- Troubleshooting And Support
Linear Regression Intercept (LRI)
Description
Linear regression is a statistical tool used to help predict future values from past values. It is commonly used as a quantitative way to determine the underlying trend and when prices are overextended. A linear regression trendline uses the least squares method to plot a straight line through prices so as to minimize the distances between the prices and the resulting trendline. This linear regression intercept indicator plots the intercept for the trendline for each data point.
Formula
The best fit line associated with the n points (x1, y1), (x2, y2), . . . , (xn, yn) has the form y = mx + b
Example
