skill
직업 분류
설명
업데이트
statistical-testing
데이터 과학자
Rigorous statistical evaluation of trading strategy returns to determine if alpha is real or a statistical artifact. Supports hypothesis testing, benchmark comparison, conditional analysis, temporal validation, and distribution checks. Use when validating backtest results, comparing strategies, testing performance claims, optimizing parameters, or analyzing performance across market conditions.
2026-04-07
load-data
데이터 과학자
Ultra-fast data discovery and loading skill for industrial finance datasets. Handles CSV, JSON, DuckDB, Parquet, and Feather with memory-efficient 2-step discovery and loading.
2026-01-02