HKUDS/Vibe-Trading

Health v2 · maintenance only

Flags: young

Adoption not part of the score

31791 stars · 5175 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Vibe-Trading is an open-source AI finance research agent that turns natural-language prompts into runnable market research, backtests, and multi-agent swarm analyses. It provides a CLI and MCP/API server with seven backtesting engines, persistent agent memory, and reproducible research artifacts across equities, crypto, futures, forex, and options.

Use cases

• backtest a moving-average strategy on BTC-USDT from a natural language prompt
• run a multi-agent investment committee analysis on a stock
• parse my broker trade journal and run counterfactual backtests
• build an AI agent with trading and market data capabilities via MCP
• do quantitative factor analysis on crypto and equities
• generate reproducible finance research reports with evidence and caveats

When to choose

• you want LLM-driven finance research and backtesting rather than live brokerage execution
• you need multi-agent swarm workflows like quant desk or risk review teams
• you want a CLI or MCP server that plugs trading research skills into your own agent

When to avoid

• you need actual order execution or brokerage integration - it explicitly does not execute trades
• you require guaranteed-accurate financial advice; outputs are research artifacts with caveats
• you need a non-Python stack or a managed SaaS product

Facets

framework · maturity active

agent-framework llm-inference mcp benchmarking data-science cli fintech artificial-intelligence large-language-models data-science analytics python cli cross-platform trading backtesting quantitative-finance multi-agent finance-research algorithmic-trading shadow-account swarm-teams ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="HKUDS/Vibe-Trading")