by 
This indicator implements a K-means clustering algorithm in Pine Script to partition two-dimensional data points into user-defined clusters. It features an internal pseudo-random number generator for centroid initialization and computes Euclidean distances acr
Indicator · Pine Script v6 · On the chart
ML Smart Adaptive Indicator
An overlay that displays signals produced by an outside machine-learning server, delivered through a data repository read with request.seed.
GitHub stars1on the repository
Pine versionv6current
Lines of code101
Settings7inputs
LicenceNone stated
Last update2 days ago27 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
ML Smart Adaptive Indicator treats the seeded close value as the direction, volume as confidence, and other fields as strength, anomaly score and predicted price. Buy and sell arrows appear when confidence passes an adjustable threshold, and trend zones, anomaly markers and a confidence panel can be toggled. It does nothing without that external data feed.
- Reads ML signals through Pine Seeds data
- Buy and sell arrows above a confidence threshold
- Trend zones and anomaly markers
- Confidence panel
- Configurable repository and signal file
Details
Published by
GeekRabbit007 on GitHub
Type
Draws
On the price chart
Category
Markets
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 |
|---|---|---|---|
| Pine Seeds Repo | string | GeekRabbit007/tradingview-ml-signals | repo_name |
| Signal File (ticker_timeframe) | string | BTCUSDT_1 | symbol_file |
| Min Confidence | float | 0.65 | signal_threshold |
| Show Prediction Arrows | bool | true | show_predictions |
| Show Trend Zones | bool | true | show_trend_zones |
| Show Anomaly Markers | bool | true | show_anomaly_markers |
| Show Confidence Panel | bool | true | show_confidence_panel |
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.
Similar Pine Scripts
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 locally weighted regression curve alongside a standard linear regression line to detect directional price shifts. It identifies potential buy signals when the weighted line crosses below the linear regression while falling over a de
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.
This indicator classifies the current bar by comparing its feature vector with historical bars using Lorentzian distance and a k-nearest-neighbors vote. Configurable features include RSI, WaveTrend, CCI, and ADX. Optional volatility, regime, ADX, and EMA filte
Calculates and plots a forward price prediction directly on the main chart using an on-chart multilayer perceptron neural network. The model processes technical input features including moving average ratios, RSI, normalized ATR, and Bollinger bandwidth throug
Related on ForexR
EA LibraryFree AI and Machine-Learning Expert AdvisorsLive priceBTC/USD live price, chart and pivotsGuideHow to Add a Pine Script to TradingViewGuideAI in Forex TradingLive priceETH/USD live price, chart and pivotsGuideRepainting in TradingViewDaily analysisBitcoin (BTC/USD) forecast and analysisDaily analysisEthereum (ETH/USD) forecast and analysis
Trade Your Charts With a Regulated Broker
Compare brokers that connect to TradingView, with spreads, minimum deposits and leverage side by side.
Compare brokers