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Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorization with intelligent routing and revenue recovery | Reduce payment processing costs with cost observability | Reduces payment ops with reconciliation
Production-grade Rust-native trading engine with deterministic event-driven architecture
TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
The most complete open-source, self-hosted Agentic Trading OS—AI research, Python strategies, factor discovery, backtesting, optimization, paper/live multi-asset execution, risk controls, monitoring, MCP, and multi-tenant SaaS in one auditable stack.
TranslatedA-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources. Full-stack A-share data toolkit: market quotes and K-lines · same-day tick-by-tick trades · research reports · signals · capital flow · news · financials · announcements · limit-up board trading (打板) · ETF options · public sentiment · macro and interest rates · futures and block trades (including Dalian Commodity Exchange daily K-lines) · event-driven · convertible bonds | No API key needed except for iwencai
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
High-performance TensorFlow library for quantitative finance.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Modular logistics and supply chain operating system (LSOS)
Portfolio Optimization in Python
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
Statistical and Algorithmic Investing Strategies for Everyone
The Open Source Trading Ecosystem for Everyone.
openctp提供CTP股票期权、中泰证券XTP、华鑫证券奇点TORA、东方证券OST、东方财富证券EMT、盈透证券TWS、易盛TAP、量投QDP等各通道的CTPAPI兼容接口，CTP程序可以无缝对接各股票柜台。openctp也提供了一套基于TTS交易系统的模拟环境，同样提供了CTPAPI兼容接口，不仅支持国内期货与期权全品种，也支持A股股票、基金、债券以及股票期权模拟交易，可以替代Simnow，为CTP量化交易开发者提供7x24可用的模拟环境。
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Details on how to get Binance public data
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
美股与全球市场数据工具包（给 AI 编程助手用）：官方源优先、零鉴权、标注合规级别 | US & global market data for AI coding assistants — zero-auth, official sources. CBOE options + 0DTE, VIX term structure, FINRA short data, SEC Form 4/13F, central-bank rates & FX, Taiwan exchanges, EIA energy, BLS US macro & jobless claims. 17 layers, 50+ endpoints, 18 sources, each compliance-tiered.