Goal
Submit a small quote/fill calibration report so execution-realism claims are tied to replayable market microstructure evidence rather than only stress-simulator assumptions.
Starter commands
Use the checked-in fixture:
python -m pip install -e ".[dev]"
python scripts/calibrate_quote_fill_model.py
Or use the public Binance sample path documented in docs/execution_model.md:
python scripts/download_binance_microstructure_sample.py
python scripts/calibrate_quote_fill_model.py \
--quotes data/public/binance_btcusdt_perp_2024_03_01_sample/quotes.csv \
--fills data/public/binance_btcusdt_perp_2024_03_01_sample/fills.csv \
--output docs/results/execution_quote_fill_calibration_binance_sample.json \
--markdown-output docs/results/execution_quote_fill_calibration_binance_sample.md
Acceptance criteria
Please attach or submit:
- calibration JSON and Markdown report;
- data source, venue, symbol, date range, and sample size;
- whether the data is public, licensed, or private;
- median/tail shortfall or residuals reported by the script;
- quote/fill replay error;
- a clear statement that this is a mini-report, not venue-wide transaction-cost proof.
Goal
Submit a small quote/fill calibration report so execution-realism claims are tied to replayable market microstructure evidence rather than only stress-simulator assumptions.
Starter commands
Use the checked-in fixture:
python -m pip install -e ".[dev]" python scripts/calibrate_quote_fill_model.pyOr use the public Binance sample path documented in
docs/execution_model.md:Acceptance criteria
Please attach or submit: