Signal → Trade Pipeline
STEP 01
Collect
Bird CLI monitors X/Twitter for BTC, ETH, SOL, NVDA, TSLA, BNB, LINK, ASTER, HOLO keywords. Raw signals piped to analysis queue.
STEP 02
Analyze
AI evaluates sentiment, checks funding rates + price action. Only acts above 70% confidence threshold.
STEP 03
Execute
Aster MCP server places trades on-chain. Supports perps with up to 10× leverage. Full position management.
STEP 04
Monitor
Live dashboard tracks positions, P&L, signals, and system health. Auto-updates every 30 seconds.
Risk Configuration
| Parameter | Value | Notes |
|---|---|---|
| Max Leverage | 10× | Per-position cap |
| Min Confidence | 70% | AI confidence threshold to trade |
| Max Open Positions | 50 | Concurrent limit |
| Max Daily Trades | 5,000 | No practical limit |
| Max Daily Loss | None | No limit set |
| Supported Pairs | BTC, ETH, SOL, NVDA, TSLA, BNB, LINK, ASTER, HOLO | USDT-margined perps |
| Mode | Simulated | Paper trading — no real capital |
Stack
OpenClaw
Aster MCP
Bird CLI
Python
Telegram
Hetzner VPS
Cloudflare Pages
Claude API
Roadmap
- DoneSignal collection pipeline (Bird CLI → AI analysis)
- DoneAster MCP trade execution
- DoneLive dashboard with WebSocket data
- DoneAI-powered signal scanning (Claude + web search)
- NextAutomated stop-loss and take-profit
- NextTelegram trade notifications
- DoneNVDA, TSLA, BNB, SOL added
- PlannedHistorical win rate tracking
- PlannedFull LLM-powered signal analysis (replace keyword matching)
Build Your Own
This system was built in one afternoon with OpenClaw and Aster MCP. No coding background required. The guide walks through every step — from VPS setup to live dashboard deployment.
Read the Guide →