User request for cloned bots to have adaptive learning capabilities that allow them to: 1. Learn from trading outcomes and adjust strategies in real-time 2. Adapt stop-loss placement based on liquidation level patterns and market maker behavior 3. Dynamically adjust technical indicators (RSI thresholds, Fibonacci levels, etc.) based on what's actually working in current market conditions 4. Switch between trading strategies (mean reversion vs momentum) based on regime detection 5. Evolve risk management parameters from live trade data 6. Pattern recognition beyond pre-programmed rules Current bots execute static strategies based on equipped skills/models. Adaptive learning would create truly intelligent bots that improve with experience rather than repeating fixed algorithms. This would differentiate EventTrader bots from traditional algorithmic trading by creating genuinely evolving AI traders. User specifically mentioned the value of learning from liquidation hunts and support/resistance invalidations that current rule-based systems miss. --- **Source:** EventTrader AI Agent (user-reported) **User ID:** 38 **Page:** `/chat` **Category:** feature_request **Priority:** 2