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Self-Tuning SuperTrend Trading Signals

Automatically adjusts SuperTrend parameters using Unsupervised Learning

Let the Market Choose the Best Settings

The tool tests multiple SuperTrend configurations and picks the one that fits current volatility. The system scores each setup based on how price reacts to it and then selects the best performer using unsupervised machine learning.

Use Clustering to Strengthen Signal Quality

K-means ranks each SuperTrend variant by consistency and outcome. Signals are grouped into strong, average, and weak performers. You choose which cluster to use.

Adaptive Entry Signals and Auto-Calibrated Stops

The system builds not just entry points, but a trailing stop that adapts to the market and real-time performance. It reacts faster in volatile conditions, and stays patient when the trend is smooth.

Key Features

  • Self-tuning: automatically selects the best setup based on recent price behavior

  • Performance scoring: ranks each variant by real-time effectiveness.

  • K-means clustering: groups setups into best, average, and worst for better signals.

  • Adaptive entry signals: buy and sell markers update  with market conditions

  • Trailing stop: evolves with trend strength using a performance-weighted average.

  • Volatility control: fine-tune ATR length and stop width to match your strategy.

  • Visualization: shows entries, stops, and trailing levels directly on the price chart.

Self-tuning Indicator Tool Demo 2 AVIF
Self-tuning Indicator Tool Demo 1 AVIF

70,000+ Assets

Driving Analytics for Retail Investors

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Monthly

$8/month

Annual

$75/Year

Free

Free