TradingAgents: Multi-Agents LLM Financial Trading Framework

"AI-Trader: 100% Fully-Automated Trading Powered by Agent Swarm Intelligence"

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

File-driven AI trading agent engine for crypto and securities markets

Trade autonomously on Polymarket using AI Agents

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more. Lumibot also makes it very easy to run and backtest agentic AI trading strategies in a safer way.

ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

autonomous trading agent powered by social sentiment analysis and ai that learns, grows, and adapts

Deep Reinforcement Learning based Trading Agent for Bitcoin

A command-line tool for tracking nof1.ai AI Agent trading signals and automatically executing Binance futures trades

⚡ Open nof1.ai | Autonomous AI Trading Agent (自主AI交易系统) | https://open-nof1.195440.com

A Multi-Agent Trading System Based on Internal Contest Mechanism

Agent-first CLI for trading on Solana — 18 DEX adapters, 12 SWQoS TX landing processors. Buy, sell, lp, snipe, create pool, launch coin, and stream real-time onchain events from your terminal.

AI-Hedge-Fund for Crypto 🚀 AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.

AI Trading Agent on Hyperliquid

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, SHA-256 tamper detection, 17 MCP tools.

🤖 Advanced AI-powered trading system for Kalshi prediction markets. Features Grok-4 integration, multi-agent decision making, portfolio optimization, and real-time market analysis. Educational/research purposes only.

Code for the paper "FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents" arXiv:2502.07393

Design notes, architecture, and trade-offs for MyInvestPilot — an AI-native investment OS built with agent-driven development, DSL engine, and solo company tech stack.

An environment to high-frequency trading agents under reinforcement learning

Agent copilot for onchain systematic trading, from monitor to trade analysis.

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.

Multi-Agents AI LLM Crypto Financial Trading Framework. 开源多代理加密货币交易决策框架。

A suite of Rust CLI tools for agentic trading and market intelligence. Each exchange has its own dedicated binary — hyperliquid, binance, coinbase, okx, polymarket — plus a shared fintool for exchange-agnostic market intelligence (quotes, news, SEC filings). Supports crypto, stocks, commodities, and prediction markets.

Sample application to demonstrate Google ADK and A2A interoperability. For informational purposes only.

This trading-gym is the first trading for agent to train with episode of short term trading itself.