Adaptive Learning: The Feedback Loop
The core strength of an Agent is its ability to learn from its own “mistakes.”- Outcome Monitoring: Agents track entries against actual price action—identifying if a signal was overridden by macro volatility or a microstructure shift.
- Strategy Refinement: Every post-mortem updates the agent’s internal Learnings database, refining how it weights different variables (e.g., favoring macro news over technical indicators during high-volatility events).
- Transparent Reasoning: Use the Changelog and Learnings tabs to audit how your agent is evolving its strategy over time.
Agent Archetypes: What You Can Build
1. The Adaptive Swing Trader (BTC Focus)
“Analyze 4H BTC chart, microstructure, and whale positioning every 4 hours. Place a trade with 10% margin once confidence exceeds 75%. Re-analyze open trades every 30 minutes and send a performance summary to Telegram.”
2. The Alpha Sniper (Asset-Agnostic)
“Monitor the Intelligence Feed. When a high-conviction signal (Confidence >75%) is flagged for any supported token, instantly open a $100 position at 5x leverage on that specific asset.”
3. The Protocol KPI Hunter (Fundamental)
“Monitor Hyperliquid protocol fees daily. If daily fees exceed $3M, open a long HYPE position with 10% account margin.”
4. The Macro Guardian (Risk Mitigation)
“Monitor global news and the Macro Analyst for keywords like ‘war’, ‘invasion’, or ‘geopolitical escalation’. If a high-impact macro shock is detected, immediately close 50% of all altcoin exposure and open an OCO hedge on BTC.”
Specialist Delegation
Agents route tasks to specialized domain experts in real-time:- Macro Analyst: Monitors global liquidity, Fed policy, and geopolitical shocks.
- Market State Analyst: Classifies the regime (Risk-On/Off) to define current strategy.
- Microstructure Analyst: Identifies liquidation clusters and funding skews.
- Trenches Analyst: Scours social sentiment for micro-cap tokens (Rank 500+).