#77th of 17 in Agent platforms
vibe-trading
Finance research agent for backtests, market data and broker connectors
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- Stars
- 35.5k
- License
- MIT
- Last commit
- Oct 2026
- Last release
- Sep 2026
- Language
- Python
11 on 1 Apr 202635,503 on 14 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Vibe-Trading is a Python agent (FastAPI backend, React 19 web UI, CLI, MCP) for trading research. It pulls market data across many exchanges, runs backtests and factor analysis, and checks figures in generated reports against tool evidence. It also connects to 18 brokers and sends scheduled reports through channels such as Email, Slack, Discord and Feishu.
Who it is for: Quant researchers and traders who want an LLM agent for backtesting
Strengths
- Grounding gate checks each reported figure against session tool evidence and cuts failures
- Backtest run cards cite metrics only where saved CSV output agrees
- 18 broker connectors, several read-only, with paper/live permissions documented
- Active: v0.1.16 shipped 116 merged PRs, with near-daily fixes afterward
Weaknesses
- Narrow domain: finance research only, not a general agent builder
- Some broker features are unavailable, e.g. Robinhood options execution
- Data quality depends on public sources such as Stooq, which can block requests
- Frequent backtest-correctness fixes in the changelog; verify results independently
What it needs
- no GPU
- Docker + Compose
- Needs LLM provider (OpenRouter is the default), Market data sources, Broker APIs (optional)
- Models: OpenRouter, Codex, Copilot, custom model endpoints
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