survivorship-bias

What problem does it solve?

Prevents inflated backtests and misleading performance comparisons caused by accidentally using today’s universe, today’s index membership, or delisted/successor ticker data when simulating historical results.

Core Features & Use Cases

• Point-in-time universe reconstruction: Rebuilds the membership at each rebalance/query date using the correct at-that-time snapshot rather than today’s surviving constituents.
• Delisting-aware pricing & exit treatment: Detects common vendor/data pitfalls (successor mapping, adjusted-feed artifacts, reverse-split-delist phantoms) and enforces realistic handling (e.g., mark-to-zero unless a realizable value is documented).
• Index/fund/leaderboard integrity: Ensures rankings and track records include dropouts at their last-reported value instead of silently removing them.
• Small-cap and FPI high-risk focus: Targets the patterns where survivorship bias is most severe, such as reverse-split-then-delist, ATM-into-delisting, SPAC merger discontinuities, and Reg SHO threshold residency.

Quick Start

Use the skill whenever you’re assembling a backtest universe for a historical date range and need the analysis to include delisted names as-of their correct membership and exit timing.