Market ingestion
Price action, volume regimes, volatility surfaces, news pulse, and watchlist events flow into one personal research layer.
AI-native personal quant command center
Yifan Lab turns research signals, factor exposure, portfolio risk, and execution intent into one elegant personal quantitative investment platform.
单人可控的 AI 量化工作台。
Fast backtests, compact research loops, clean signal notebooks, no institutional bloat.
Signal Foundry
Price action, volume regimes, volatility surfaces, news pulse, and watchlist events flow into one personal research layer.
Language models compress raw context into explainable hypotheses, then keep the final decision inside a deterministic quant loop.
Signals are converted into position candidates only after exposure, liquidity, and drawdown gates agree with the current market state.
Factor Stack
Execution Loop
Frame a hypothesis, inspect factor overlap, and keep notes close to the data.
Run fast scenario checks across turnover, capacity, and volatility regimes.
Block trades that violate drawdown, concentration, or liquidity thresholds.
Move only clean signals into the live workspace with visible audit trails.
Performance Ledger
Local-first screening for fast iteration.
Composable factors across style, risk, and sentiment.
Exposure, drawdown, and concentration checks stay visible.
Idea to review loop designed for a solo operator.
Ready for the workspace