Links & Resources
The frameworks, APIs, data sources and communities we actually use to build and test agentic AI trading agents. Curated and refreshed regularly.
How we choose: reputable, genuinely useful tools only. Inclusion isn't endorsement, and some links may be affiliate links (labelled). Always read each provider's own terms. Educational — not financial advice.
AI Models & Agent Frameworks
- Anthropic Claude — the LLM we recommend for building trading agents: strong reasoning, tool use, and code generation, with a developer API (console.anthropic.com). Widely used as the "brain" inside agent frameworks. See our Using Claude for Trading guide.
- OpenAI & Google AI (Gemini) — the other major model providers, each with function-calling and agent tooling.
- LangGraph / LangChain & LlamaIndex — orchestration for tool-using, stateful LLM agents.
- Hugging Face — open models, datasets, and the hub behind much of open-source financial AI.
- Custom agent loop — for trading, a small hand-written plan→act→review loop is often more debuggable than a heavy framework.
Curated Agent Repos
The open-source projects we'd actually start from (full write-ups on our Best Repos page):
- TradingAgents — multi-agent LLM "trading firm" (~89k★).
- ai-hedge-fund — approachable multi-agent system with a built-in backtester (~61k★).
- FinRL & the AI4Finance Foundation — reinforcement-learning trading (~15.5k★).
- NautilusTrader — production-grade backtest-to-live platform.
- awesome-ai-in-finance — a broad community-curated meta-list.
Broker & Execution APIs
- Alpaca — commission-free US equities/crypto API with a free paper-trading environment — the usual starting point.
- Interactive Brokers (IBKR) — broad market access via its API; steeper learning curve.
- Coinbase / exchange APIs — for crypto execution and market data.
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Backtesting & Data
- Backtrader / vectorbt / Zipline-reloaded — Python backtesting engines (event-driven and vectorised).
- QuantConnect / LEAN — institutional-grade, multi-asset engine with cloud or local execution.
- pandas / NumPy — the data backbone for any strategy harness. Mind survivorship bias in free datasets.
Communities
- r/algotrading — large community on systematic trading (verify claims independently).
- QuantConnect forums — strategy and infrastructure discussion.
On AIClarity
- AI Trading Agents — our build guides.
- AI Platforms for Trading — using Claude, ChatGPT & Gemini.
- Strategies — trend following, momentum, mean reversion and more.
Suggest a resource: know a great framework, API or dataset we should list? Send it over.
External links are for education only; we don't control third-party content and inclusion isn't endorsement. Nothing here is financial advice. Some links may be affiliate links; see our disclosure.