factor-research-multiple-testing-correction v1.0.0A

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---
name: factor-research-multiple-testing-correction
description: Skill for factor research multiple testing correction
domain: quant-research-alt-data
subdomain: Alternative Data
tags:
- alt-data
- python
- research
brokers_frameworks: []
version: 1.0.0
author: AI
license: MIT
---

## When to Use
Use when researching factor research multiple testing correction.

## Prerequisites
- Python 3.8+
- pandas

## Workflow
1. Collect data.
2. Analyze signals.

## Common Pitfalls
- Lookahead bias.
- Overfitting.

## Verification
- Unit tests pass.
- Cross-validation results are robust.

## Related Skills
- signal-generation