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- arigatoexpress/Sapphire
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- 2026年7月29日 15:50
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SKILL.md
来源说明 · 只读预览- name
- sapphire-alpha
- description
- Trading engine — signals, risk, execution, self-improvement loop
- type
- service
- runtime
- python
- deploy_target
- rari1+rari2
- dependencies
- ["sapphire-core","sapphire-telegram"]
- entry_point
- src/main.py
- test_command
- pytest tests/
# services/alpha
Core trading engine. Receives signals from TradingView webhooks, applies risk filters via sapphire-core, executes on Lighter Protocol, and publishes trade events to the event bus.
## Components
- Signal ingestion (TradingView → webhook → alpha)
- Risk kernel (circuit breaker, position sizing, drawdown limits)
- Execution router (Aster DEX + Hyperliquid via rari2)
- Self-improvement: trade metrics → control-plane tasks → agent improvements
## Signal Flow (on-prem)
```
TradingView → webhook.sapphirealpha.xyz (Cloudflare Tunnel)
→ Windows PC:9090 (Ollama enrichment)
→ rari1:18081 + rari2:18081 (Tailscale HTTP, parallel)
→ sapphire-core risk check
→ Redis pub/sub: trading-signals → aster, hyperliquid
→ control-plane:8082 → Telegram notification
```
## Metrics (PnL is king)
- Win rate target: 80%+
- Risk metric: Sortino + Calmar (not Sharpe)
- Max drawdown: 15%
- Pairs: ETH/BTC, SOL/BTC, ZEC/BTC, HYPE/USDT, BTC/USDT
## Deploy (on-prem)
Runs on both rari1 and rari2 (port 18081). See `infra/pi/` for systemd services.
Signal broker: Redis on rari1 (`REDIS_URL=redis://100.x.x.x:6379`).
```bash
# Install Redis on rari1 first:
ssh rari@100.x.x.x 'bash -s' < infra/pi/rari1/setup-redis.sh
# Then deploy control-plane:
bash infra/pi/rari1/deploy-control-plane.sh
```
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