Repository Index

TradingAgents: Multi-Agents LLM Financial Trading Framework

• agent
• finance
• llm
• multiagent

"Vibe-Trading: Your Personal Trading Agent"

• backtesting
• multi-agent
• quantitative-finance
• trading

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.

• quantitative-finance
• quant
• python
• fintech

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

• trading-strategies
• quantitative-trading
• trading-bot
• quantitative-finance

The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

• backtesting
• trading
• algorithmic-trading
• trading-strategies

TranslatedTSP: a self-hosted, zero-maintenance quantitative workbench for A-shares covering "custom strategies + monitoring + backtesting" | LLM capabilities drive strategy customization + individual stock analysis + post-trade review | Freely connect third-party data sources and personalized extended data | Personal open-source project

• a-stock
• ai-agent
• aigc
• backtesting

Automated Binance trading bot with pluggable strategies, historical backtesting, a live dashboard, and connect an AI agent over MCP

• binance
• binance-api
• trading-bot
• binance-trading-bot

TranslatedVibe-Research: A research workbench for China A-shares, US and HK stocks · watchlist and holdings, daily review, industry news, industry research, in-depth stock analysis, backtesting, research report library, 168 data endpoints. Supports Claude Code, Codex, WorkBuddy subscriptions or any model API.

• a-stock
• ai-agent
• dashboard
• fintech

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.

• alpaca
• trading-bot
• algorithmic-trading
• backtesting

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

• trading
• python
• reinforcement-learning
• trading-bot

Scalable, event-driven, deep-learning-friendly backtesting library

• reinforcement-learning
• deep-reinforcement-learning
• gym-environment
• openai-gym

The repository host gives no description.

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.

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.

DYT CN: reproducible China-market research CLI and agent skills

Trading environnement for RL agents, backtesting and training.

• trading
• backtesting
• reinforcement-learning-agent
• reinforcement-learning

Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.

• algorithmic-trading
• cryptocurrency
• ethereum
• moving-average