1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
Forecasting: Vanilla Locally Weighted Regression computes linear regression values weighted by a Gaussian radial kernel against a calculated price data series, scaling the prediction output to fit recent price boundaries. The indicator plots a line on the price chart that dynamically changes color to green when rising and red when falling over a customizable span. Users can configure the lookback window, kernel fall-off rate (tau), price source, and evaluation span.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Price Data
source
close
price
Timeframe
int
2
tf
Lookback window
int
4
p
Fall-off controller (tau: 10.,1.,.0,.01)
float
0.8
tau
Rising/Falling Span
int
2
span
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
This indicator uses a Lorentzian distance k-nearest neighbors classification algorithm to predict market direction based on up to five technical features, such as RSI, WaveTrend, CCI, and ADX. It compares current feature values against historical bar patterns
This indicator calculates a trend direction and smoothed moving average using a k-nearest neighbours (k-NN) classification algorithm directly on the main price chart. Users can select input price types, target values, neighborhood size, and smoothing periods.
An overlay indicator that applies a k-nearest-neighbors machine learning classifier using Lorentzian distance to predict price movement. It evaluates historical market features, such as RSI, WaveTrend, CCI, and ADX, to identify similar price-time patterns and
This indicator uses a Hidden Markov Model (HMM) framework combined with an adaptive dual moving average engine and Directional Movement Index (DMI) features to identify market regimes (bullish, bearish, or ranging/chop). It calculates regime probabilities on e
This overlay indicator plots a SuperTrend-style band on the price chart using ATR length, a selectable source, and a base factor. Optional settings enable an adaptive factor driven by rate of change, a volatility filter, K-means clustering, and an LSTM layer w
Chandelier Flip Radar plots an ATR trailing stop on the price chart and tracks a directional trend state. It holds a ratchet stop until an accepted flip, using close or wick extremums and a body filter so weak breaks do not change direction. Distance to the fl