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An implementation of Giuseppe Paleologo's Rademacher Antiserum, designed to assess strategy performance consistency through Rademacher complexity and RAS-adjusted Sharpe Ratios. This code evaluates strategy robustness by applying Rademacher random vectors for anti-overfitting analysis.
Portfolio-level backtesting for cross-sectional strategies in R. Weekly selection and weighting engines, walk-forward validation, regime overlays, hierarchical risk parity, machine-learning integration, transaction-cost sweeps. On CRAN.
Systematic intraday opening-range breakout strategy on US equities — 10-year validated backtest with walk-forward optimization, statistical robustness suite, and live paper-trading on Alpaca.
An honesty harness for LLM trading research: point-in-time discipline, leakage self-tests, and forward-only LLM feature collection. A-shares + US equities.
Adversarial co-evolution orchestrator: an executor LLM improves an artifact, a deterministic scorer judges it (keep-if-better via git), a validator LLM advises — until quality peaks. Off-the-shelf agent CLIs, walk-forward scoring, live web dashboard. General-purpose, not just trading.
A walk-forward crypto research system, paper-traded in public: a weekly self-refitting BTC/ETH machine with real costs, real funding, frozen-replay validation, and seven documented failed ideas.
미국주식 팩터 엔진 + ETF 전술배분 검증 — point-in-time·생존편향 보정 데이터 위에서 워크포워드를 Deflated Sharpe·PBO 로 게이팅. 채택만이 아니라 기각도 함께 공개 · US equity factor engine with walk-forward validation
Portfolio backtest engine with montecarlo simulation, walk-forward, efficient frontier, FIRE, charts, performance optimization, max drowdown with Ai suggest!