8 GITHUB REPOS FOR BUILDING AN AI TRADING STACK
Want to understand how autonomous trading systems are actually built? Start here.
Not “AI predicts the next candle” bullshit.
8 repos covering agents, backtesting, exchange APIs, market making, RL and execution.
1. AI Hedge Fund
github.com/virattt/ai-hedge-…
Multi-agent setup where different agents analyze a trade from different angles before reaching a conclusion.
2. Freqtrade
github.com/freqtrade/freqtra…
One of the biggest open-source crypto trading bots. Strategies, backtesting and automated execution.
3. CCXT
github.com/ccxt/ccxt
The infrastructure layer for connecting to Binance, Bybit, OKX and dozens of other exchanges through one API.
4. NautilusTrader
github.com/nautechsystems/na…
Trading infrastructure for research, backtesting and live execution.
5. Hummingbot
github.com/hummingbot/hummin…
Market making, arbitrage and liquidity automation.
6. Eliza
github.com/elizaOS/eliza
Framework for autonomous agents that can interact with crypto wallets and onchain systems.
7. FinRL
github.com/AI4Finance-Founda…
Reinforcement learning for financial trading research.
8. Jesse
github.com/jesse-ai/jesse
Python framework for developing and backtesting crypto trading strategies.
The stack basically looks like:
data → strategy → backtest → risk → execution → agent
I’d treat these as a research starting point, not a money printer.
Build locally. Test without real funds. Understand the system before giving an agent access to your wallet.