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.
Agent & LLM Frameworks
- LangChain / LlamaIndex — orchestration for tool-using LLM agents (data retrieval, function calling, loops).
- Provider SDKs — official OpenAI, Anthropic and Google AI SDKs and their function-calling docs.
- Custom agent loop — for trading, a small hand-written plan→act→review loop is often more debuggable than a heavy framework.
Broker & Execution APIs
- Alpaca — popular 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).
- Market data — provider docs for historical and real-time OHLCV; mind survivorship bias in any free dataset.
- pandas / NumPy — the data backbone for any strategy harness.
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.