TradingAgents: Multi-Agents LLM Financial Trading Framework
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Free, open source crypto trading bot
"Vibe-Trading: Your Personal Trading Agent"
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
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
- backtesting
- trading
- algorithmic-trading
- trading-strategies
An advanced trading bot written in Python
- cryptocurrency
- trading-bot
- trading-algorithms
- trading
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
- trading-bot
- python
- bitcoin
- ai-trading
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
- claude-desktop
- cryptocurrency
- mcp-server
- mcp-tools
TranslatedTianqin Quant development kit (TqSdk), futures quantitative trading, real-time market data/historical data/live trading
- futures
- diff
- python
- program-trading
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
- stocks
- stock-market
- finance
- python
modular quant framework.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
- deep-reinforcement-learning
- stock-trading
- a2c-algorithm
- ppo
Algorithmic Trading in Python with Machine Learning
- algotrading
- backtesting
- machine-learning
- python
Statistical and Algorithmic Investing Strategies for Everyone
- machine-learning
- algorithmic-trading
- investment-portfolio
- portfolio-optimization
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
- cryptocurrency
- bot-framework
- investment
- bots
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
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.
Trading bot running on Bybit, Bitget, OKX, GateIO, Binance, Kucoin, WEEX and Hyperliquid
- bybit
- futures
- trading
- algorithmic-trading
Python Crypto Bot (PyCryptoBot)
- backtester
- backtesting
- backtesting-trading-strategies
- binance
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
- bitcoin
- machine-learning
- artificial-intelligence
- feature-engineering
Python AutoML for Trading Systems and Sports Betting
- machine-learning
- predictive-analytics
- classification
- regression
Algorithmic trading framework for cryptocurrencies.
- crypto
- cryptocurrency
- cryptocurrencies
- cryptocurrency-exchanges
QuantaAlpha transforms how you discover quantitative alpha factors by combining LLM intelligence with evolutionary strategies. Just describe your research direction, and watch as factors are automatically mined, evolved, and validated through self-evolving trajectories.
- code
- codeagent
- factor-mining
- self-evolving