KOL research
@AYi_AInotes
A workflow-oriented KOL example. The value is not one trade idea, but the way research, validation, execution, risk, and review are organized into a sustainable automation system.
📌 Research value
@AYi_AInotes focuses on making the OpenClaw workflow a full trading system: modular, observable, risk-first, and progressive in deployment.
Why this matters: pages like this teach system organization, not just “what to buy next.”
🔄 Workflow architecture
Design principles
- Modularity: skills remain independent and swappable
- Observability: logging supports debugging and review
- Risk-first: stop-loss and circuit breakers are embedded
- Progressive deployment: paper → small live → scaled live
Recommended stack
- Simmer SDK for execution and paper trading
- Defuddle for content extraction
- Tavily Search for signal discovery
- Voice Command as an optional control layer
⚙️ Configuration guidance
Training mode
- Start on Simmer paper trading
- Require stable hit-rate before going live
- Record every trade logic and result
Live mode
- Single-trade cap: $100 (default Simmer level)
- Daily cap: $500
- External wallet via MetaMask + Polygon
- Enable auto_redeem
1. Scan opportunities
2. Validate signals
3. Evaluate risk
4. Execute trade
5. Log outcome
6. Review regularlyMain warning: workflow automation is not a substitute for understanding strategy. It only amplifies the quality of the underlying method.