# Factor Library - Browse and Manage Factor Library

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

## How It Works

### Open the Factor Library

Navigate to the Factor Library page to access your centralized repository of alpha factors. The library contains all factors discovered through mining, imported from research, or manually created, organized in a searchable and sortable table.

### Browse and Sort Factors

View the complete list of factors with key metrics displayed in columns including factor name, IC, ICIR, annualized return, creation date, and source (Auto Discovery, From Report, or Optimize). Click column headers to sort by any metric for quick ranking.

### Search and Filter

Use the search bar to find factors by name or keyword. Apply filters to narrow results by performance range (e.g., IC > 0.03), source mode, creation date, or category. This helps you quickly locate high-quality factors from large libraries.

### Inspect Factor Details

Click on any factor to open its detail view showing the complete formula, Python implementation code, evaluation metrics (IC, ICIR, return, turnover), and historical performance chart. Review the factor's logic to understand its economic rationale.

### Evaluate Factor Correlations

Check correlation metrics between factors before combining them in a strategy. Highly correlated factors provide redundant signals, while low-correlation factors offer true diversification. The library displays pairwise correlation data for your factor set.

### Manage Factor Lifecycle

Activate, deactivate, rename, or delete factors from your library. Active factors are available for strategy integration, while deactivated factors are archived but preserved. Use tags and notes to organize factors by theme (momentum, value, quality, volatility).

### Apply Factors to Strategies

Select one or more factors from your library and integrate them into trading strategies via the Workflow Tabler. Combined factor portfolios can generate more robust signals than individual factors by blending multiple alpha sources.

> The Factor Library is your persistent repository for all discovered and curated alpha factors. Factor metrics are computed on the training dataset used during mining and should be re-validated on fresh data periodically.

## Tips & Best Practices

## Frequently Asked Questions

## Important Notes

> Factor performance metrics are based on historical evaluation data and may not persist in future periods. Alpha factors are subject to decay, crowding, and regime changes. Periodic re-evaluation on out-of-sample data is essential.

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Source: https://stratcraft.ai/help/factor-library/