This indicator uses a two-dimensional k-nearest-neighbours model on scaled oscillator values to classify the current bar as buy, sell, or hold from similar historical states. Users select RSI, ROC, CCI, momentum, or all of them, and set the neighbour count, fa
Indicator · Pine Script v6 · Own pane
Expectation Maximization Gaussian Mixture Regime
The Expectation Maximization Gaussian Mixture Regime indicator clusters market states into two to five components using an online Expectation-Maximization Gaussian Mixture Model.
GitHub stars41on the repository
Pine versionv6current
Lines of code718
Settings23inputs
LicenceNone stated
Last update2 days ago26 Oct 2026
Add It to Your TradingView Chart
- 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
Expectation Maximization Gaussian Mixture Regime processes three input features: volatility-normalized momentum, relative volatility, and relative volume. Operating in a separate pane, the indicator renders histograms, color gradients, entropy certainty metrics, and optional regime background shading, along with a diagnostics table. Users can configure learning memory length, feature lookback horizons, EM initialization thresholds, component numbers, and visual toggles.
- Online Expectation-Maximization Gaussian Mixture Model
- 3-feature clustering using momentum, volatility, and volume
- Dynamic regime classification with entropy certainty metric
- Customizable model diagnostics dashboard table
Details
Published by
ChartsLector on GitHub
Type
Indicator, Pine Script v6
Draws
Separate pane below the chart
Category
AI / machine learning, Oscillators & momentum, Volatility & bands, Volume
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Effective learning memory | int | 100 | memoryLength |
| Gaussian components | int | 3 | nComponents |
| Initialization sample | int | 75 | initializationBarsInput |
| Initialization EM iterations | int | 15 | initializationIterations |
| EM relative tolerance | float | 0.0001 | convergenceTolerance |
| Variance floor | float | 0.05 | varianceFloor |
| Minimum component weight | float | 0.01 | minimumWeight |
| Momentum horizon | int | 14 | momentumLength |
| Short volatility horizon | int | 20 | volatilityLength |
| Relative-volume horizon | int | 50 | volumeLength |
| Feature clipping | float | 6.0 | featureClip |
| Oscillator smoothing | int | 3 | smoothing |
Show all 23 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| Show gradient | bool | true | showGradient |
| Show histogram | bool | true | showHistogram |
| Show regime background | bool | true | showRegime |
| Show entropy certainty | bool | true | showCertainty |
| Color price bars | bool | false | barColoring |
| Show diagnostics table | bool | true | showDiagnostics |
| Table position | string | Top Right | diagnosticsPositionInput |
| Detail level | string | Standard | diagnosticsDetailLevel |
| Text size | string | Tiny | diagnosticsTextSizeInput |
| Background transparency | int | 78 | diagnosticsBackgroundTransparency |
| Show during initialization warm-up | bool | true | showDiagnosticsDuringWarmup |
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.
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