batter 0.4.3

Deterministic Python research engine for prediction-market evidence-backed backtests

batter

Built for Pancake — receipts at https://usepancake.com/r/<receipt-id> use this engine to verify strategy math.

batter is a deterministic Python research engine for prediction-market evidence-backed backtests. Given a backtest spec and an EvidenceDataset, it produces a canonical result_hash — identical bytes across ubuntu / macos / windows on Python 3.12+ — enabling reproducible research and auditability of strategy claims. Engine 0.4 adds Monte Carlo bootstrap confidence intervals and a sign-permutation Sharpe test so credibility signals travel with every result.

The PyPI package is batter; the Python module is pancake_engine (sklearn-style rename: pip install batter then import pancake_engine).

What is this for?

Pancake is a prediction-market research platform. batter is the math layer, extracted as a standalone package so the formulas can be verified independently of the platform.

When a strategy backtest runs on Pancake, it runs through batter. The platform stores the result_hash; anyone can reproduce that hash locally by running the same spec and dataset through pip install batter. This is the platform connection: batter has origin in Pancake but is genuinely independently usable by anyone doing prediction-market research.

Install

pip install batter

Quickstart

import json
from pancake_engine import run_backtest, BacktestSpec, EvidenceDataset, BacktestConfig

spec    = BacktestSpec(**json.load(open("spec.json")))
dataset = EvidenceDataset(**json.load(open("dataset.json")))
config  = BacktestConfig()

result = run_backtest(spec, dataset, config)
print(result.result_hash)   # deterministic SHA-256 over canonical JSON
print(result.metrics.sharpe)
print(result.bootstrap_ci)  # 95% CI on cagr / sharpe / sortino (0.4+)

Determinism

The same (spec, dataset, config) produces the same result_hash across ubuntu / macos / windows on Python 3.12+. Verification method, fixture set, and numeric bounds are documented in docs/math-audit-0.4.md §"Verification verdict".

Supported Python versions: 3.12 and 3.13. Python 3.11 is permanently out of scope — sum() semantics changed in 3.12 (compensated float accumulation), causing the bootstrap CI values to differ by 1 ULP and producing a different result_hash. No code change can reconcile this without reverse-engineering 3.12's exact internal accumulation path. See docs/py311-investigation-2026-05-27.md for the full root-cause analysis and docs/math-audit-0.4.md §"Known scope qualifier — Python 3.11" for the audit entry.

Cross-platform

CI enforces a 6-cell matrix (ubuntu-latest + macos-latest + windows-latest) × (Python 3.12 + 3.13). See the badge above.

Cite batter

If you use batter in academic or independent research, please cite:

@software{mustopo2026batter,
  author       = {Mustopo, Michael},
  title        = {batter: Deterministic Python research engine for
                  prediction-market evidence-backed backtests},
  year         = {2026},
  version      = {0.4.2},
  url          = {https://usepancake.com/engine},
  repository   = {https://github.com/usepancake/batter},
  license      = {Apache-2.0},
  note         = {The math layer of usepancake.com. Produces canonical
                  SHA-256 result hashes reproducible across Ubuntu,
                  macOS, and Windows on Python 3.12+.}
}

License

Apache-2.0 — Copyright 2026 Michael Mustopo

See also

• usepancake.com — the prediction-market research platform
• usepancake.com/engine — batter's platform page (methodology, JSON-LD, citation)
• usepancake.com/methodology — platform methodology