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Signal diagnostics covering rank behavior, decay, breadth, monotonicity, and cross-sectional stability.
In Development
Tool Detail
Factor Lab
Institutional-quality factor library for building, testing, and understanding quantitative signals at their source.
In Development
Intended for
Research teams and PMs
Overview
What this tool is built to do.
FactorLab provides a curated library of quantitative factors designed for consistent signal generation and research. It standardizes factor definitions, data handling, and construction methodologies, enabling reliable comparison and reuse across strategies. By offering a broad set of commonly used and research-backed factors, it serves as the foundation for signal development, allowing researchers to focus on idea generation while maintaining consistency, transparency, and rigor across the research pipeline.
Included capabilities
IC and decay diagnostics
Exposure and neutrality reports
Regime-by-regime factor behavior summaries
What's Included
Core capabilities inside Factor Lab.
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Exposure inspection for sector, size, style, and other hidden bets that can distort interpretation.
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Crowding and regime lenses that show when a factor behaves differently under changing market conditions.
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Robustness reviews across universes, rebalance schedules, neutralization schemes, and holding horizons.
Typical Workflows
How teams would use it in practice.
Inspect whether a factor is genuine alpha or a disguised exposure to something simpler.
Study factor behavior through different market regimes and implementation assumptions.
Compare alternate definitions of the same factor before promoting one into production research.