1.HKUDS / Vibe-Trading
"Vibe-Trading: Your Personal Trading Agent"
Ranked by Attention Score: stars gained over the last 180 complete days
35 repositories by Attention Score · May 9, 2026 – Nov 4, 2026 (UTC)
"Vibe-Trading: Your Personal Trading Agent"
Production-grade Rust-native trading engine with deterministic event-driven architecture
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
Free, open source crypto trading bot
TranslatedAn open-source quantitative trading platform development framework based on Python
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Open source software that helps you create and deploy high-frequency crypto trading bots
Translatedstock. Get stock data, calculate stock indicators, chip distribution, identify stock patterns, comprehensive stock selection, stock selection strategies, stock verification and backtesting, automatic stock trading, supports PC and mobile devices.
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
FinRL®: Financial Reinforcement Learning. 🔥
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
TranslatedQUANTAXIS: a purely local quantitative solution for stocks/futures/options that supports task scheduling and distributed deployment, covering data/backtesting/simulation/trading/visualization/multiple accounts
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
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.
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
ValueCell is a community-driven, multi-agent platform for financial applications.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
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.
Open Source Algorithmic Trading Engine
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
A stock trading bot powered by Trump tweets
The modern cryptocurrency trading bot framework written in Go.
A bitcoin trading bot written in node - https://gekko.wizb.it/
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
Magic8bot is a cryptocurrency trading bot using Node.js and MongoDB.
Create your Java crypto trading bot in minutes. Our Spring boot starter takes care of exchange connections, accounts, orders, trades, and positions so you can focus on building your strategies.
An Algorithmic Trading Library for Crypto-Assets in Python
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
TensorForce Bitcoin Trading Bot
Python live trade execution library with zipline interface.