Changelog¶
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
Unreleased¶
Added¶
- Institutional-grade repository scaffolding: issue templates, pull request template,
CODEOWNERS,dependabot.yml,CONTRIBUTING.md,CODE_OF_CONDUCT.md,SECURITY.md. - Python documentation is now built with MkDocs (Material theme +
mkdocstrings) and published to GitHub Pages, replacing the previous Sphinx/Read the Docs setup. - Dedicated
lint,tests, anddocsCI workflows with status badges in the README.
Changed¶
- Read the Docs is no longer used for Python API documentation; see https://bbalouki.github.io/bbstrader/ instead.
2.3.0¶
Added¶
btengineresearch and realism stack:analytics: historical & parametric VaR/CVaR, Monte Carlo equity-curve confidence bands, volatility-regime detection, and factor/beta exposure.optimize: parallel parameter sweeps and walk-forward evaluation.overfitting: deflated/probabilistic Sharpe ratio, PBO via CSCV, and combinatorial purged cross-validation.friction: pluggable slippage, market impact, commissions, partial fills, latency, and per-bar swap/overnight funding costs.catalog: cached, Parquet-backed data catalog (falls back to CSV withoutpyarrow).vectorized: vectorized research fast-path (vectorized_backtest(...)) for fast hypothesis testing across full history.templates: ready-made trend / mean-reversion / breakout strategy templates.timeframe: on-the-fly higher-timeframe (HTF) resampling.experiment: experiment/results store persisting parameters, metrics, and equity curves.core/broker: venue-neutralBrokerexecution abstraction with an in-memoryPaperBroker.core/indicators: built-in vectorized SMA, EMA, RSI, ATR, Bollinger Bands, MACD, and z-score.- Multi-strategy support over a shared portfolio and multi-timeframe feeds in
btengine. - Doxygen-based C++ documentation workflow with automatic GitHub Pages deployment.
- Reproducible benchmark suite for the backtesting engine (
benchmarks/).
Changed¶
- Lean core install: the base
pip install bbstraderno longer pulls the NLP/social/viz stacks by default; installbbstrader[nlp],bbstrader[social],bbstrader[viz], orbbstrader[all]as needed.
Earlier releases¶
See GitHub Releases for the full history of versions prior to 2.3.0.