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Execution-Aware Intraday Alpha Lab — Crypto Edition

End-to-end research-to-execution scaffold for intraday crypto alphas:

  • Signals: order-flow imbalance, microprice tilt, short-horizon vol, intraday seasonality
  • Policies: Market, TWAP, POV, queue-aware Limit, tiny RL agent (market/join/improve)
  • Backtest: event-driven, top-of-book fill simulation, implementation shortfall attribution
  • Risk: position, turnover, EWMA VaR caps; volatility-scaled sizing
  • Repro: config-driven, tests, CI, Docker, MLflow logging

Quickstart

# 1) create venv and install
python -m venv .venv && source .venv/bin/activate
pip install -e .  # or: pip install -r requirements.txt

# 2) run a tiny demo on BTCUSDT 1s bars (synthetic book from trades/klines)
python examples/quickstart_demo.py

# 3) generate a tear sheet HTML in ./reports
python examples/generate_tearsheet.py

About

A full research-to-production pipeline that learns intraday alphas from order-flow, chooses executions adaptively, and reports slippage-aware PnL with rigorous risk controls.

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