QuantConnect Lean commit number 18197 adds the ShareClassMarketCap field, with MarketCap still retained as the company's total market capitalization. This commit is verified by GitHub signature and co-authored by Claude Fable 5.1.
Read originalvectorbt v1.2.0 has been officially released. This version introduces the ulcer index and Martin ratio indicators, adds the nbformat>=4.2.0 dependency, and fixes multiple issues including OBV calculation, EWM standard deviation ddof handling, portfolio P&L expectation statistics, and drawdown logging.
Read originalZipline Reloaded 3.2.0 is a maintenance release. It supports Python 3.11–3.14, removes support for Python 3.10, and is not yet compatible with Pandas 3 or Python 3.15. The pandas version remains constrained to below 3.0.
Read originalCode change commit number 18193 in QuantConnect Lean migrates BaseExtendedDictionary, ReadOnlyExtendedDictionary.
Read originalQuantConnect Lean Release 18192 migrates BaseExtendedDictionary, ReadOnlyExtendedDictionary, and SessionConsolidator.
Read originalQuantConnect Lean released commit 18189 (corresponding hash 1a91415), which has a verified signature on GitHub. This update hides FundamentalProperty and the Get methods that accept this parameter from the code stubs.
Read originalNautilusTrader 2.0.0rc7 was released on October 15 (UTC), removing Python 3.12 support and adding compatibility with Python 3.13 and 3.14. This update adds features such as negative price support for futures, local calendar-based scheduled dispatch, batch order book incremental replay, and CME Globex option candidate IDs, while also including multiple breaking changes to interfaces and configurations.
Read originalvectorbt v1.1.2 has been released. This update fixes multiple functional defects, including the isclose helper function returning True for any finite number, NaN consistency issues in is_sorted_nb, portfolio NaN trade plotting marker handling, ignored NaN returns in cond_value_at_risk, and intraday time retention during NumPy datetime64 conversion.
Read originalQlib v0.9.8 has been released, including security hardening completed at Microsoft's request, merging changes from #2339 and #2340. This version restricts the loading of executable recorder artifacts; loading artifacts from trusted storage requires explicitly setting trusted=True, and configuration-driven local .py imports also require explicitly enabling trusted: true. Before upgrading production workflows, please review the two migration guides. Source archives are available on GitHub, and PyPI packages can be queried separately.
Read originalvn.py version 4.5.0 has been released. This update includes feature adjustments, performance optimizations, and fixes for multiple issues. Key changes include: vnpy_ctabacktester backtest configurations are now saved grouped by strategy name; vnpy.alpha has been refactored for factor and signal performance analysis with a new vwap matching mode; vnpy_polygon has been renamed to vnpy_massive; and several trading interfaces have updated API versions. The update also fixes issues related to UI sorting, cross-contract indicator calculation, market data processing, and connection timeouts.
Read originalNautilusTrader 2.0.0rc6 was officially released on October 4, 2026 (UTC). This version introduces several features, including configurable WebSocket inbound size limits, expanded outputs for multiple technical indicators, a Parquet directory migration tool, and enhanced adapters for venues such as Architect AX, Binance, and Bybit. It also removes the adapter for the closed BitMEX exchange and adjusts certain fee configurations and serialization-related interface definitions.
Read originalOpenBB has released the V5 major version line. The openbb meta-package is at 5.0.0, while the core, CLI, API, MCP server, router, and most providers are at 2.0.0. openbb-devtools is at 2.0.1, openbb-charting is at 4.0.0, and openbb-imf is at 3.0.0.
Key Takeaways:OpenBB V5 changes the license to Apache-2.0 and migrates to hatchling/uv packaging, a layered openbb.toml configuration, and a CLI 2.0 spec file mechanism. These changes can be used to evaluate upgrade paths and available data sources.
OpenBB has released ODP Desktop v2.0.0, corresponding to the V5 iteration. This update completes the initial refactoring of openbb-core, achieves 100% test coverage for testable code paths, and introduces a backward-compatible layered configuration system, openbb.toml.
Read originalvectorbt v1.1.1 is officially released. This version optimizes the numerical stability of rolling standard deviation for the Numba and Rust engines, corrects the calculation logic for deflated Sharpe ratio, and adjusts the alignment rules for cross-engine expanding mean/standard deviation. This version is adapted to the built-in plotting themes of Plotly 7, while the documentation site has been migrated to Zensical.
Read originalNautilusTrader released version 2.0.0rc5 on September 15, 2026 (UTC). This release introduces a rolling ZScore indicator, HTTP streaming reads, and Python message publishing and subscription.
Read originalbacktesting.py v0.6.6 has been released, tagged by kernc on July 22 at 15:22, corresponding to commit hash 9c2b8e1, which carries a verified committer signature. This version includes only one documentation change: hiding backtesting.Pool in the API documentation generated by pdoc3.
Read originalvectorbt v1.1.0 has been officially released, adding support for Python 3.14, pandas 3, NumPy 2.4+, Numba 0.66+, and Telegram Bot API v20+. This release optimizes Rust engine packaging and consistency coverage, refreshes documentation, examples, resources, and feature previews, and fixes multiple issues related to data processing, indicator calculation, and plotting.
Read originalFinRL v0.3.8 adds a 2026 stock trading tutorial, accompanied by 3 scripts: FinRL_StockTrading_2026_1_data.py handles data downloading and preprocessing, and FinRL_StockTrading_2026_2_train.py trains A2C.
Read originalvn.py 4.3.0 has been officially released. The new version adds the WorldQuant Alpha 101 factor feature dataset to the vnpy.alpha module, and introduces the RGR performance metric to the vnpy_ctastrategy backtesting engine.
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