Multi-symbol autonomous trading platform powered by Claude AI agents. Trades GOLD (XAUUSD), OILCash, BTCUSD, USDJPY via MetaTrader 5.
Frontend (Next.js 16, Vercel)
|
| HTTPS + WebSocket
v
Backend (FastAPI, Railway)
|-- Auth Layer (Passkey WebAuthn + JWT)
|-- Secrets Vault (AES-256-GCM encrypted)
|-- Runner Manager (process/Docker sandbox)
| |-- Job Queue (Redis + DB)
| |-- Heartbeat Monitor
| '-- Agent Entrypoint
| |-- MCP Tool Server (36 tools)
| |-- Guardrails (non-bypassable limits)
| '-- Multi-Agent Pipeline
| |-- Reflector (Haiku) -- past trade review
| |-- Technical Analyst (Haiku) -- indicators
| |-- Fundamental Analyst (Haiku) -- sentiment
| |-- Risk Analyst (Haiku) -- portfolio risk
| '-- Orchestrator (Sonnet) -- final decision
|-- Strategy Engine (5 strategies + ensemble)
|-- ML Models (LightGBM per-symbol)
|-- PostgreSQL + Redis
'----HTTP----> Windows VPS
'-- MT5 Bridge + MetaTrader 5
| Layer | Tech |
|---|---|
| Backend | FastAPI 0.115, SQLAlchemy 2.0 (async), asyncpg, Redis, APScheduler |
| Frontend | Next.js 16, React 19, Tailwind 4, Zustand, recharts |
| AI Agent | Anthropic SDK (Claude Sonnet + Haiku), MCP tools, guardrails |
| ML | LightGBM, scikit-learn, pandas |
| Auth | WebAuthn (Passkey) + JWT httpOnly cookie |
| Trading | MetaTrader 5 via HTTP Bridge |
| CI/CD | GitHub Actions (ruff, pytest, tsc, build), Railway auto-deploy |
| DB | PostgreSQL 15, Redis 7 |
- AI Agent Trading: Claude-powered multi-agent system that analyzes markets and executes trades autonomously
- Passkey Auth: Passwordless login via WebAuthn (fingerprint/Face ID/YubiKey)
- Secrets Vault: AES-256-GCM encrypted storage for API keys and tokens
- Runner Management: Docker sandbox runners with live logs, metrics, and job queue
- Gradual Rollout: Shadow -> Paper -> Micro-Live -> Live deployment modes
- Self-Reflection: Agent reviews past trades to improve future decisions
- Adaptive Strategy: Regime detection (trending/ranging/volatile) with automatic strategy selection
- Session Memory: Redis-backed context that persists across trading sessions
- Guardrails: Hard limits on lot size, daily loss, trade frequency (agent cannot bypass)
- 5 Strategies: EMA Crossover, RSI Filter, Breakout, Mean Reversion, ML Signal + Ensemble
- ML Models: Per-symbol LightGBM with 40+ features, drift detection, auto-retrain
- Real-time Dashboard: Trading view, positions, P&L, AI insights, notifications
docker-compose up -dcd backend
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
pip install -r requirements-dev.txt # test/lint deps
cp .env.example .env
alembic upgrade head
uvicorn app.main:app --reload --port 8000cd mt5_bridge
pip install -r requirements.txt
cp .env.example .env # MT5 credentials
uvicorn main:app --host 0.0.0.0 --port 8001cd frontend
npm install
cp .env.example .env.local
npm run devcd backend
python -m pytest tests/ -v --no-cov # 413 testsSee backend/.env.example and mt5_bridge/.env.example.
Key variables for production:
SECRET_KEY— JWT signing keyVAULT_MASTER_KEY— Secrets vault encryption keyWEBAUTHN_RP_ID/WEBAUTHN_ORIGIN— Passkey configCLAUDE_OAUTH_TOKEN— Claude Max subscription token (stored in Vault)ROLLOUT_MODE—shadow/paper/micro/liveAGENT_MODE—single(Phase C) ormulti(Phase D multi-agent)
backend/
app/
api/routes/ # REST endpoints (60+)
bot/ # Trading engine, scheduler, health monitor
strategy/ # 5 strategies + ensemble + regime detection
risk/ # Risk manager, circuit breaker, correlation
ml/ # LightGBM trainer, features, drift detection
ai/ # Claude AI client, sentiment, optimization
runner/ # Docker sandbox runner system
middleware/ # Auth middleware
db/ # SQLAlchemy models, migrations
tests/ # 413 tests (unit + integration)
frontend/
app/ # Next.js App Router pages
dashboard/ # Trading dashboard
runners/ # Runner management + logs + metrics
secrets/ # Secrets vault UI
login/ # Passkey login
components/ # Shared UI components
lib/ # API client, WebSocket, utilities
mcp_server/
server.py # FastMCP server (36 tools)
guardrails.py # Trading guardrails (non-bypassable)
agent_config.py # Agent loop + tool dispatch
system_prompt.md # Agent system prompt
tools/ # 11 tool modules
agents/ # 5 specialist agents + orchestrator
mt5_bridge/ # MetaTrader 5 HTTP bridge (Windows VPS)