Content Formats
Releases of quant open-source projects, backtesting frameworks, and research tools that can be installed and used directly.
50 related activitiesLast 30 days 27 itemsFeatured among them 2 items
Kraken has announced the official launch of the Kraken Prop multi-account trading feature on Kraken Desktop. The feature allows users to use a single master account as the trading initiator to synchronously copy the same trade to multiple selected follower accounts. This feature is available for free with Kraken Desktop, with no additional fees.
Read originalQuantConnect 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 originalBinance has completed the restoration of its spot API documentation. This update only adjusted the formatting of the spot exchange terms of use in the documentation, without modifying the substantive content of the terms. The documentation clearly reminds users that Binance products and services are subject to the product terms of use, and users should carefully read these terms before use.
Read originalSullivan & Cromwell has partnered with OpenAI to develop Agreement Analyzer, an AI tool designed to identify issues in draft agreements. The tool integrates legal expertise into the agreement review process.
Read originalib_async v2.1.0 has been released on PyPI, uploaded on 2025-12-08. All files in the sdist and all package files in the wheel for this version are identical to the corresponding commit ab629f3.
Read originalGoogle DeepMind officially released the frontier large model Gemini 4 Argon on October 13, 2026, available globally to developers, enterprises, researchers, and consumers. The model ranks first on the Vals Index benchmark, with input token pricing at $2 per million and output tokens at $10 per million, with a 95% discount for cached input tokens. It has already been deployed in multiple practical applications across engineering optimization, quantum chemistry, cybersecurity, and other fields.
Read originalQuantLib 1.44 has been officially released, available for download as both QuantLib-1.44.tar.gz and QuantLib-1.44.zip. This version removes features deprecated in version 1.39, adds several new features, and deprecates a batch of features that will be removed in a future version (expected to be 1.49). This version can still be tested with Visual C++ 2017, but subsequent versions may no longer support this compiler.
Read originalMoontower has released the Verticals workflow, which allows directional traders to scan across underlying assets for the most cost-effective vertical spreads at a given displacement. Users can select the expiration date and displacements of ±0.5, ±1, or ±1.5 standard deviations. The system calculates the target strike price based on the underlying asset's own volatility surface and returns the tightest vertical spread constructed from adjacent strikes, which will be fully in-the-money if the stock price reaches the target at expiration.
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 originalIn September 2026, Quantpedia added two new fields, Trading Costs and Strategy Robustness, to its Screener and API. Access to the related API requires a Quantpedia Pro subscription and a separate application.
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 originalGoogle DeepMind released EmbeddingGemma 2 on October 6, 2026, based on the Gemma 4 architecture, open-sourced under the Apache 2.0 license, with a total parameter count of 740 million, capable of mapping text, code, images, audio, and video into a unified embedding space.
Key Takeaways:Learn about EmbeddingGemma 2's modular parameter configuration, vector truncation rules, and on-device memory usage for building local multimodal retrieval and RAG pipelines.
vn.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 original
