Continuously optimizes mean-reversion strategy parameters based on real performance data. Identifies winning patterns and recommends parameter adjustments.
Scanned 5/28/2026
Install via CLI
openskills install astoreyai/claude-skills# Kymera Mean-Reversion Optimizer
Continuously optimizes mean-reversion strategy parameters based on real performance data. Identifies winning patterns and recommends parameter adjustments.
## Capabilities
- **Performance Analysis**: Analyze MR trade results and identify patterns
- **Win Rate Optimization**: Detect entry quality degradation
- **Parameter Tuning**: Recommend VWAP thresholds, stop-loss levels, profit targets
- **Symbol Selection**: Identify best-performing symbols
- **Portfolio Alignment**: Validate correlation with portfolio system
## Use Cases
1. **Analyze MR Performance**
```
/kymera-mr-optimizer analyze
```
2. **Generate Optimization Report**
```
/kymera-mr-optimizer report
```
3. **Validate System Alignment**
```
/kymera-mr-optimizer check-alignment
```
## Key Parameters
- Win rate (target: ≥50%)
- Profit factor (target: ≥1.2)
- VWAP band threshold (1.5σ - 2.5σ)
- Stop-loss level (-2% to -4%)
- Profit targets (0.5% - 2%)
- Position sizing (Kelly-based)
## Integration
Works with:
- Strategy-to-portfolio integrator
- Portfolio-to-strategy converter
- Unified dashboard
- Risk adjuster
## Author
Aaron Storey | Kymera Strategy (Nov 2025)
No comments yet. Be the first to comment!
Find and analyze YouTube competitor channels using YouTube Data API v3. Discover competitors through keyword search, category matching, content similarity, and related channel discovery. Compare metrics, content strategies, and market positioning. Use when users want to (1) Find competitors for their YouTube channel, (2) Analyze competitor performance metrics, (3) Compare their channel against competitors, (4) Identify content gaps and opportunities, (5) Benchmark against similar creators, (6...