# Indicator Training - Train, Optimize and Combine Custom Technical Indicators

**Last Updated**: 2026-03-17
**Version**: 1.0.0

## How It Works

### Open the Indicator Training Module

Navigate to the Indicator Training page from the sidebar menu. The interface presents four distinct training modes accessible via tabs: Recommendations, Evaluation, Optimization, and Combination.

### Select a Training Mode

Choose your training mode based on your objective. Recommendations uses AI to suggest indicators suited to your asset and timeframe. Evaluation tests how well specific indicators predict returns. Optimization tunes indicator parameters for peak performance. Combination merges multiple indicators into composite alpha signals.

### Configure Asset and Timeframe

Select the target symbol using the company search field, set the analysis date range, and choose the data timeframe (1min, 5min, 15min, 1h, daily). These parameters define the historical dataset used for training.

### Set Optimization Targets and Constraints

Define your optimization objective: Information Coefficient (IC), IC Information Ratio (ICIR), Sharpe Ratio, or cumulative return. Set constraints such as maximum drawdown tolerance and minimum sample size to prevent overfitting.

### Select Indicators for Training

Browse and select from the library of 138+ technical indicators organized by category: momentum, volatility, volume, trend-following, and mean-reversion. In Combination mode, select up to 5 indicators and define the maximum combination depth.

### Execute the Training Process

Click Execute to start the training pipeline. The backend runs the selected mode against historical data, applying cross-validation where applicable. Progress is displayed in real time via the status panel.

### Analyze and Export Results

Review training results including IC scores, rank correlations, parameter sensitivity charts, and equity curves. Compare candidate indicators side by side and export winning configurations for use in your trading strategies.

> Indicator Training provides a systematic framework to evaluate, optimize, and combine technical indicators using quantitative metrics rather than subjective judgment.

## Tips & Best Practices

## Frequently Asked Questions

## Important Notes

> Indicator optimization is performed on historical data and optimized parameters may degrade on unseen data. Over-optimization (curve fitting) is a significant risk. Always validate results on out-of-sample periods and use walk-forward analysis before deploying in live strategies.

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Source: https://stratcraft.ai/help/indicator-training/