Natural-language finance research AI agent with backtesting
Project description
Vibe-Trading: Your Personal Trading Agent
One Command to Empower Your Agent with Comprehensive Trading Capabilities
Features · Demo · What Is It · Get Started · CLI · API · MCP · Structure · Contributing
📰 News
- 2026-04-10 🔧 Performance & multi-provider: LLM timeout 2400s→120s, all tuning params configurable via
.env. Added 11 LLM providers (DeepSeek, Groq, Gemini, Ollama, etc.). Hardenedml-strategyskill template with input validation and inf/NaN sanitization. - 2026-04-09 📊 Backtest Wave 2 — multi-asset engines: added ChinaFutures (CFFEX/SHFE/DCE/ZCE, 50+ contracts), GlobalFutures (CME/ICE/Eurex, 30+ contracts), Forex (24 pairs, spread + swap), Options v2 (American exercise, IV smile). Statistical validation: Monte Carlo permutation test, Bootstrap Sharpe CI, Walk-Forward analysis.
- 2026-04-08 🔧 Multi-market backtest with per-market rules; Pine Script v6 export for TradingView. Data source expansion: 5 sources with auto-fallback,
web_searchtool, skill categorization (7 categories). - 2026-04-01 🚀 v0.1.0 — Initial release: ReAct agent, 64 skills, 29 swarm presets, cross-market backtest, CLI + Web UI + MCP server.
💡 What Is Vibe-Trading?
Vibe-Trading is an AI-powered multi-agent finance workspace that turns natural language requests into executable trading strategies, research insights, and portfolio analysis across global markets.
Key Capabilities:
• Strategy Generation — Automatically writes trading code from your ideas
• Smart Data Access — 5 data sources with automatic fallback; zero-config for all markets
• Performance Testing — Tests your strategies against historical market data
• TradingView Export — One-click convert strategies to Pine Script v6 for TradingView
• Expert Teams — Deploys specialized AI agents for complex research tasks
• Live Updates — Watch the entire analysis process in real-time
✨ Key Features
🔍 DeepResearch for Trading
• Multi-domain analysis coverage across markets
• Auto strategy and signal generation • Macro economic research and insights • Natural-language task routing via chat |
🐝 Swarm Intelligence
• 29 out-of-the-box trading team presets
• DAG-based multi-agent orchestration • Real-time decision streaming dashboard • Custom team building through YAML |
📊 Cross-Market Backtest
• A-shares, HK/US equities, crypto, futures & forex
• 7 market engines: A-share, US/HK equity, crypto, China futures, global futures, forex • Statistical validation: Monte Carlo, Bootstrap CI, Walk-Forward • 15+ performance metrics & 4 optimizers |
🧮 Quant Analysis Toolkit
• Factor IC/IR analysis & quantile backtesting
• Black-Scholes pricing & full Greeks calculation • Technical pattern recognition & detection • Portfolio optimization via MVO/Risk Parity/BL |
68 Skills across 7 Categories
- 📊 68 specialized finance skills organized into 7 categories
- 🌐 Complete coverage from traditional markets to crypto & DeFi
- 🔬 Comprehensive capabilities spanning data sourcing to quantitative research
| Category | Skills | Examples |
|---|---|---|
| Data Source | 6 | data-routing, tushare, yfinance, okx-market, akshare, ccxt |
| Strategy | 16 | strategy-generate, technical-basic, candlestick, ichimoku, elliott-wave, smc, multi-factor, ml-strategy |
| Analysis | 15 | factor-research, macro-analysis, global-macro, valuation-model, earnings-forecast, credit-analysis |
| Asset Class | 9 | options-strategy, options-advanced, convertible-bond, etf-analysis, asset-allocation, sector-rotation |
| Crypto | 7 | perp-funding-basis, liquidation-heatmap, stablecoin-flow, defi-yield, onchain-analysis |
| Flow | 7 | hk-connect-flow, us-etf-flow, edgar-sec-filings, financial-statement, adr-hshare |
| Tool | 8 | backtest-diagnose, report-generate, pine-script, doc-reader, web-reader |
29 Agent Swarm Team Presets
- 🏢 29 ready-to-use agent teams
- ⚡ Pre-configured finance workflows
- 🎯 Investment, trading & risk management presets
| Preset | Workflow |
|---|---|
investment_committee |
Bull/bear debate → risk review → PM final call |
global_equities_desk |
A-share + HK/US + crypto researcher → global strategist |
crypto_trading_desk |
Funding/basis + liquidation + flow → risk manager |
earnings_research_desk |
Fundamental + revision + options → earnings strategist |
macro_rates_fx_desk |
Rates + FX + commodity → macro PM |
quant_strategy_desk |
Screening + factor research → backtest → risk audit |
technical_analysis_panel |
Classic TA + Ichimoku + harmonic + Elliott + SMC → consensus |
risk_committee |
Drawdown + tail risk + regime review → sign-off |
global_allocation_committee |
A-shares + crypto + HK/US → cross-market allocation |
Plus 20+ additional specialist presets — run vibe-trading --swarm-presets to explore all.
🎬 Demo
|
https://github.com/user-attachments/assets/4e4dcb80-7358-4b9a-92f0-1e29612e6e86 |
https://github.com/user-attachments/assets/3754a414-c3ee-464f-b1e8-78e1a74fbd30 |
| ☝️ Natural-language backtest & multi-agent swarm debate — Web UI + CLI | |
🚀 Quick Started
One-line install (PyPI)
pip install vibe-trading-ai
Package name vs commands: The PyPI package is
vibe-trading-ai. Once installed, you get three commands:
Command Purpose vibe-tradingInteractive CLI / TUI vibe-trading serveLaunch FastAPI web server vibe-trading-mcpStart MCP server (for Claude Desktop, OpenClaw, Cursor, etc.)
vibe-trading init # interactive .env setup
vibe-trading # launch CLI
vibe-trading serve --port 8899 # launch web UI
vibe-trading-mcp # start MCP server (stdio)
Or choose a path
| Path | Best for | Time |
|---|---|---|
| A. Docker | Try it now, zero local setup | 2 min |
| B. Local install | Development, full CLI access | 5 min |
| C. MCP plugin | Plug into your existing agent | 3 min |
| D. ClawHub | One command, no cloning | 1 min |
Prerequisites
- An LLM API key from any supported provider — or run locally with Ollama (no key needed)
- Python 3.11+ for Path B
- Docker for Path A
Supported LLM providers: OpenRouter, OpenAI, DeepSeek, Gemini, Groq, DashScope/Qwen, Zhipu, Moonshot/Kimi, MiniMax, Xiaomi MIMO, Ollama (local). See
.env.examplefor config.
Tip: All markets work without any API keys thanks to automatic fallback. yfinance (HK/US), OKX (crypto), and AKShare (A-shares, US, HK, futures, forex) are all free. Tushare token is optional — AKShare covers A-shares as a free fallback.
Path A: Docker (zero setup)
git clone https://github.com/HKUDS/Vibe-Trading.git
cd Vibe-Trading
cp agent/.env.example agent/.env
# Edit agent/.env — set OPENAI_API_KEY (required)
docker compose up --build
Open http://localhost:8899. Backend + frontend in one container.
Path B: Local install
git clone https://github.com/HKUDS/Vibe-Trading.git
cd Vibe-Trading
python -m venv .venv
# Activate
source .venv/bin/activate # Linux / macOS
# .venv\Scripts\Activate.ps1 # Windows PowerShell
pip install -e .
cp agent/.env.example agent/.env # Edit — set OPENAI_API_KEY
vibe-trading # Launch interactive TUI
Start web UI (optional)
# Terminal 1: API server
vibe-trading serve --port 8899
# Terminal 2: Frontend dev server
cd frontend && npm install && npm run dev
Open http://localhost:5899. The frontend proxies API calls to localhost:8899.
Production mode (single server):
cd frontend && npm run build && cd ..
vibe-trading serve --port 8899 # FastAPI serves dist/ as static files
Path C: MCP plugin
See MCP Plugin section below.
Path D: ClawHub (one command)
npx clawhub@latest install vibe-trading --force
The skill + MCP config is downloaded into your agent's skills directory. See ClawHub install for details.
🧠 Environment Variables
Copy agent/.env.example to agent/.env and uncomment the provider block you want. Each provider needs 3-4 variables:
| Variable | Required | Description |
|---|---|---|
LANGCHAIN_PROVIDER |
Yes | Provider name (openrouter, deepseek, groq, ollama, etc.) |
<PROVIDER>_API_KEY |
Yes* | API key (OPENROUTER_API_KEY, DEEPSEEK_API_KEY, etc.) |
<PROVIDER>_BASE_URL |
Yes | API endpoint URL |
LANGCHAIN_MODEL_NAME |
Yes | Model name (e.g. deepseek/deepseek-v3.2) |
TUSHARE_TOKEN |
No | Tushare Pro token for A-share data (falls back to AKShare) |
TIMEOUT_SECONDS |
No | LLM call timeout, default 120s |
* Ollama does not require an API key.
Free data (no key needed): A-shares via AKShare, HK/US equities via yfinance, crypto via OKX, 100+ crypto exchanges via CCXT. The system automatically selects the best available source for each market.
🖥 CLI Reference
vibe-trading # interactive TUI
vibe-trading run -p "..." # single run
vibe-trading serve # API server
Slash commands inside TUI
| Command | Description |
|---|---|
/help |
Show all commands |
/skills |
List all 68 finance skills |
/swarm |
List 29 swarm team presets |
/swarm run <preset> [vars_json] |
Run a swarm team with live streaming |
/swarm list |
Swarm run history |
/swarm show <run_id> |
Swarm run details |
/swarm cancel <run_id> |
Cancel a running swarm |
/list |
Recent runs |
/show <run_id> |
Run details + metrics |
/code <run_id> |
Generated strategy code |
/pine <run_id> |
Pine Script for TradingView |
/trace <run_id> |
Full execution replay |
/continue <run_id> <prompt> |
Continue a run with new instructions |
/sessions |
List chat sessions |
/settings |
Show runtime config |
/clear |
Clear screen |
/quit |
Exit |
Single run & flags
vibe-trading run -p "Backtest BTC-USDT MACD strategy, last 30 days"
vibe-trading run -p "Analyze AAPL momentum" --json
vibe-trading run -f strategy.txt
echo "Backtest 000001.SZ RSI" | vibe-trading run
vibe-trading -p "your prompt"
vibe-trading --skills
vibe-trading --swarm-presets
vibe-trading --swarm-run investment_committee '{"topic":"BTC outlook"}'
vibe-trading --list
vibe-trading --show <run_id>
vibe-trading --code <run_id>
vibe-trading --pine <run_id> # Pine Script for TradingView
vibe-trading --trace <run_id>
vibe-trading --continue <run_id> "refine the strategy"
vibe-trading --upload report.pdf
🌐 API Server
vibe-trading serve --port 8899
| Method | Endpoint | Description |
|---|---|---|
GET |
/runs |
List runs |
GET |
/runs/{run_id} |
Run details |
GET |
/runs/{run_id}/pine |
Pine Script export |
POST |
/sessions |
Create session |
POST |
/sessions/{id}/messages |
Send message |
GET |
/sessions/{id}/events |
SSE event stream |
POST |
/upload |
Upload PDF/file |
GET |
/swarm/presets |
List swarm presets |
POST |
/swarm/runs |
Start swarm run |
GET |
/swarm/runs/{id}/events |
Swarm SSE stream |
Interactive docs: http://localhost:8899/docs
🔌 MCP Plugin
Vibe-Trading exposes 16 MCP tools for any MCP-compatible client. Runs as a stdio subprocess — no server setup needed. 15 of 16 tools work with zero API keys (HK/US/crypto). Only run_swarm needs an LLM key.
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"vibe-trading": {
"command": "vibe-trading-mcp"
}
}
}
OpenClaw
Add to ~/.openclaw/config.yaml:
skills:
- name: vibe-trading
command: vibe-trading-mcp
Cursor / Windsurf / other MCP clients
vibe-trading-mcp # stdio (default)
vibe-trading-mcp --transport sse # SSE for web clients
MCP tools exposed (17): list_skills, load_skill, backtest, factor_analysis, analyze_options, pattern_recognition, get_market_data, web_search, read_url, read_document, read_file, write_file, list_swarm_presets, run_swarm, get_swarm_status, get_run_result, list_runs.
Install from ClawHub (one command)
npx clawhub@latest install vibe-trading --force
--forceis required because the skill references external APIs, which triggers VirusTotal's automated scan. The code is fully open-source and safe to inspect.
This downloads the skill + MCP config into your agent's skills directory. No cloning needed.
Browse on ClawHub: clawhub.ai/skills/vibe-trading
OpenSpace — self-evolving skills
All 68 finance skills are published on open-space.cloud and evolve autonomously through OpenSpace's self-evolution engine.
To use with OpenSpace, add both MCP servers to your agent config:
{
"mcpServers": {
"openspace": {
"command": "openspace-mcp",
"toolTimeout": 600,
"env": {
"OPENSPACE_HOST_SKILL_DIRS": "/path/to/vibe-trading/agent/src/skills",
"OPENSPACE_WORKSPACE": "/path/to/OpenSpace"
}
},
"vibe-trading": {
"command": "vibe-trading-mcp"
}
}
}
OpenSpace will auto-discover all 68 skills, enabling auto-fix, auto-improve, and community sharing. Search for Vibe-Trading skills via search_skills("finance backtest") in any OpenSpace-connected agent.
📁 Project Structure
Click to expand
Vibe-Trading/
├── agent/ # Backend (Python)
│ ├── cli.py # CLI entrypoint — interactive TUI + subcommands
│ ├── api_server.py # FastAPI server — runs, sessions, upload, swarm, SSE
│ ├── mcp_server.py # MCP server — 17 tools for OpenClaw / Claude Desktop
│ │
│ ├── src/
│ │ ├── agent/ # ReAct agent core
│ │ │ ├── loop.py # main reasoning loop
│ │ │ ├── skills.py # skill loader (68 SKILL.md files, 7 categories)
│ │ │ ├── tools.py # tool orchestration
│ │ │ ├── context.py # system prompt builder
│ │ │ ├── memory.py # run memory / artifact store
│ │ │ └── trace.py # execution trace writer
│ │ │
│ │ ├── tools/ # 21 agent tools
│ │ │ ├── backtest_tool.py # run backtests
│ │ │ ├── factor_analysis_tool.py
│ │ │ ├── options_pricing_tool.py
│ │ │ ├── pattern_tool.py # chart pattern detection
│ │ │ ├── doc_reader_tool.py # PDF reader (OCR fallback)
│ │ │ ├── web_reader_tool.py # web page reader (Jina)
│ │ │ ├── web_search_tool.py # DuckDuckGo web search
│ │ │ ├── swarm_tool.py # launch swarm teams
│ │ │ └── ... # file I/O, bash, tasks, etc.
│ │ │
│ │ ├── skills/ # 68 finance skills in 7 categories (SKILL.md each)
│ │ ├── swarm/ # Swarm DAG execution engine
│ │ ├── session/ # Multi-turn chat session management
│ │ └── providers/ # LLM provider abstraction
│ │
│ ├── backtest/ # Backtest engines
│ │ ├── engines/ # daily_portfolio + options_portfolio
│ │ ├── loaders/ # 5 sources: tushare, okx, yfinance, akshare, ccxt
│ │ │ ├── base.py # DataLoader Protocol
│ │ │ └── registry.py # Registry + auto-fallback chains
│ │ └── optimizers/ # MVO, equal vol, max div, risk parity
│ │
│ └── config/swarm/ # 29 swarm preset YAML definitions
│
├── frontend/ # Web UI (React 19 + Vite + TypeScript)
│ └── src/
│ ├── pages/ # Home, Agent, RunDetail, Compare
│ ├── components/ # chat, charts, layout
│ └── stores/ # Zustand state management
│
├── Dockerfile # Multi-stage build
├── docker-compose.yml # One-command deploy
├── pyproject.toml # Package config + CLI entrypoint
└── LICENSE # MIT
🏛 Ecosystem
Vibe-Trading is part of the HKUDS agent ecosystem:
|
ClawTeam Agent Swarm Intelligence |
NanoBot Ultra-Lightweight Personal AI Assistant |
CLI-Anything Making All Software Agent-Native |
OpenSpace Self-Evolving AI Agent Skills |
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
Good first issues are tagged with good first issue — great for getting started.
Areas we'd love help with:
| Area | Difficulty | Description |
|---|---|---|
| Intraday backtest engine | Hard | Sub-daily (1m/5m/1H) bar execution with proper session handling |
| Options vol surface & Greeks viz | Hard | 3D implied-vol surface, delta/gamma/vega charts in frontend |
| Monte Carlo & stress testing | Hard | Scenario simulation, regime-switching, tail-risk analysis |
| Portfolio optimizer constraints | Medium | Leverage limits, sector caps, turnover penalties |
| Correlation heatmap dashboard | Medium | Cross-asset correlation matrix with time-window slider |
| New data source loader | Medium | Implement DataLoader Protocol for a new exchange/vendor |
| New finance skill | Easy | Add a SKILL.md — e.g., pairs trading, mean reversion, VWAP |
| New swarm preset | Easy | YAML config for a new multi-agent workflow |
Disclaimer
Vibe-Trading is for research, simulation, and backtesting only. It is not investment advice and it does not execute live trades. Past performance does not guarantee future results.
License
MIT License — see LICENSE
Thanks for visiting Vibe-Trading ✨
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