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Index

Guides ​

Comparisons, category notes, and project pages. Chapter pages remain the full entry lists. The contents table is on the Overview.

Comparisons ​

Project pages ​

  • OpenBB — What the OpenBB repository is, which directories it ships, and the GitHub facts recorded on 2026-10-22.
  • AKShare — What the AKShare Python data library covers, and the GitHub facts recorded on 2026-10-22.
  • Dexter — What the Dexter research agent repository contains, and the GitHub facts recorded on 2026-10-22.
  • FinRobot — What the FinRobot agent platform repository contains, and the GitHub facts recorded on 2026-10-22.
  • TradingAgents — What the TradingAgents multi-agent framework contains, and the GitHub facts recorded on 2026-10-22.
  • ai-hedge-fund — What the ai-hedge-fund simulation contains, and the GitHub facts recorded on 2026-10-22.
  • nofx — What the nofx trading terminal repository contains, and the GitHub facts recorded on 2026-10-22.
  • FinRL-Trading — What the FinRL-Trading (FinRL-X) repository contains, and the GitHub facts recorded on 2026-10-22.
  • Qlib — What the Qlib quant platform is, and the GitHub facts recorded on 2026-10-22.
  • RD-Agent — What the RD-Agent research loop covers in quant scenarios, and the GitHub facts recorded on 2026-10-22.
  • Beancount — What the Beancount ledger is, and the GitHub facts recorded on 2026-10-22.
  • Actual — What the Actual budget app is, and the GitHub facts recorded on 2026-10-22.
  • FinGPT — What the FinGPT financial-LLM repository contains, and the GitHub facts recorded on 2026-10-22.
  • FinRL — What the FinRL reinforcement-learning repository contains, and the GitHub facts recorded on 2026-10-22.
  • NautilusTrader — What the NautilusTrader engine is, and the GitHub facts recorded on 2026-10-22.

Category notes ​

  • Data and Tools — Reading note for chapter 1: market and filing data, MCP servers, official broker kits, and skill packs.
  • Investment Research — Reading note for chapter 2: research agents and self-hosted workbenches that turn filings and news into memos.
  • Multi-Agent Decisions — Reading note for chapter 3: multi-agent desks that debate and hand off a decision.
  • Trading and Portfolio — Reading note for chapter 4: from a signal to a sized order, plus prediction markets and broker bridges.
  • Quant Automation — Reading note for chapter 5: agents that mine factors, write strategy code, and iterate backtests.
  • Accounting — Reading note for chapter 6: ledgers, tax and invoicing, and accounting-system MCP servers.
  • Risk and Compliance — Reading note for chapter 7: AML/KYC, due diligence, and firewalls in front of irreversible actions.
  • Personal Finance — Reading note for chapter 8: local-first budgets and the bridges agents use to read them.
  • Evaluation and Arenas — Reading note for chapter 9: benchmarks, live arenas, and public track records for finance agents.
  • Backtesting and Leakage — Reading note for chapter 10: point-in-time data, replay, and look-ahead control for agent loops.

For research and education only. Not investment advice. · Maintained by Ao Wang · Guides