47,133 repositories indexed
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Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Open Source Algorithmic Trading Engine
Self-hosted, non-custodial stablecoin payment gateway with x402 and invoice checkout. Accepts USDC, USDT, PYUSD and DAI across 8 networks with QR payments, payment links, settlement tracking and signed webhooks. REST API, micropayments, exports, zero platform fees and no KYC. Python, cross-platform.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Self-hosted restaurant POS with tables, kitchen display, reservations, QR ordering, loyalty and local-network operation.
TranslatedMulti-market intelligent quantitative workbench (A-shares/Hong Kong stocks/US stocks) — secondary development based on shy3130/tickflow-stock-panel, adding multi-market support for Hong Kong and US stocks. Self-hosted stock screening + monitoring + backtesting. MIT.
Self-hosted, invisible CAPTCHA that detects AI agents driving real browsers. GDPR, WCAG 2.2 AA, and EAA: no cookies, no third-party data sharing, and no visual or audio puzzle. With a false-positive budget enforced in CI. Proof of work, drop-in for Turnstile and reCAPTCHA.
Translated子瑜量研 (Ziyu Quant Research, "Ziyu quantitative research") | A local A-share quantitative research workbench: factor research and evolution, strategy backtesting, simulation validation, and traceable evidence. Product introduction and interactive demo.
Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.
SaaS boilerplate/starter-kit in Go+React with Stripe integration, multi-tenant support, comprehensive features and AI-agent ready
From Idea to Execution - Manage your trading operation across a distributed cluster
Yaffa is a personal finance web application, focusing on the support of long term financial planning.
ColdFusion payment processing library makes plumbing e-commerce apps easy. Charging credit cards has never been easier. Inspired by Ruby's ActiveMerchant.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
🏦 I built this site to integrate with Up bank (an Australian digital bank), to assist users with budgeting and to gain powerful future insights.
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
Research experiments exploring uncommon quant techniques.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Translated[Maintenance stopped] New version updates have been moved to the correspondingly named project under the IBATS project group. Connects to the Huobi exchange to get real-time and historical Huobi market data, saves it to a MySQL database and broadcasts it via Redis, for the ABAT trading platform to use for strategy backtesting, analysis, and trading.
AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence