Autonomous trading agents with deterministic execution. The agents propose; the system decides.
Free, open source crypto trading bot
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
"Vibe-Trading: Your Personal Trading Agent"
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
Transparent and Efficient Financial Analysis
Algorithmic Trading in Python with Machine Learning
The Open Source Trading Ecosystem for Everyone.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
Trading bot running on Bybit, Bitget, OKX, GateIO, Binance, Kucoin, WEEX and Hyperliquid
The Official Python SDK for Alpaca API
免費開源的投資反詐、交易統計與自動化交易程式工具:預設 PaperBroker,提供 14 種券商/交易所選項;交易紀錄分析在本機執行。
Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
Free strategy scorecard for trading backtests. Detect overfitting, weak edge, drawdown risk, and random-timing luck from returns, equity curves, or trade logs.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Python interface to TD Ameritrade (https://developer.tdameritrade.com)
Paper trading simulator for Polymarket
结合多大模型分析与确定性代码风控的自主量化交易系统 | Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control & OKX execution.
One open-source API for prediction markets. Trade Kalshi, Polymarket, Polymarket US and Opinion with one Python SDK: unified market data, smart order routing across venues, and advanced order types. Plus tick-level Kalshi order book history.
Independently analyze ROI, win rate, and PnL using the public Hyperliquid API, detect martingale/grid recovery strategies, and assess maximum drawdown and risk-adjusted returns. Read-only terminal checker — no trading, no API keys. Unofficial community project, not affiliated with Hyperliquid.
👑 Enterprise-grade, high-frequency quantitative scalp trading engine for XAUUSD (Gold). Driven by PyTorch (TCN + Self-Attention), Smart Money Concepts (SMC/ICT) , Win32 C++ MT5 IPC bindings, and a real-time FastAPI Canvas Web Dashboard.
500+ algorithmic-trading skills for AI coding agents in the agentskills.io format. Every skill ships a working Python reference implementation and its own tests - 20,291 in CI. Broker APIs, backtesting, risk, execution, ML, compliance and 10 more domains. Apache-2.0
Autonomous AI trading system powered by Kronos. Forecasts markets, builds portfolios and paper-trades automatically with GitHub Actions.
MCP server + NinjaTrader 8 AddOn that gives an AI coding assistant eyes and a build loop for NinjaScript: compile with structured errors, chart and Print reads, headless backtests, walk-forward, lint, trade match vs research, screenshots. Opt-in Sim-only order and strategy control, plus Sim desk crash-recovery tools. Read-only by default.