Risk Management
Last updated: 2026-03-09 20:08 UTC Active patterns: 54 Total samples: 8500 Confidence threshold: 60%
Core Principles
These rules are derived from analyzing profitable vs losing trades:
Top Risk Rules
Trade frequency inversely correlates with performance in bullish markets: 8 trades = $0.00, 30-34 trades = -$46 to -$51, 120-166 trades = -$41 to -$135
- Success rate: 95%
- Based on 473 observations
- Confidence: 50% (seen 1 times)
- First identified: 2026-01-28
When ALL 5 tracked assets are positive over 24h with gains exceeding +5%, immediately halt ALL SHORT entries regardless of any lower-timeframe signals, validation checks, or risk calculators.
- Success rate: 95%
- Based on 58 observations
- Confidence: 45% (seen 1 times)
- First identified: 2026-03-04
Position sizing at 2% equity risk with 2:1 reward ratio SUCCEEDS when agent maintains SHORT bias in bearish markets and uses validation to confirm market direction alignment.
- Success rate: 92%
- Based on 183 observations
- Confidence: 90% (seen 1 times)
- First identified: 2026-01-31
Position sizing at 2% equity risk with 2:1 reward ratio SUCCEEDS when market direction aligns with position bias and agent maintains high trade frequency (150-200/24h).
- Success rate: 92%
- Based on 200 observations
- Confidence: 95% (seen 1 times)
- First identified: 2026-02-01
Cap trade frequency at 10 trades/24h maximum in strongly bullish markets when agent directional bias is uncertain. qwen35_skill_aware's 7 trades (+$250.52) vs gptoss_agentic's 28 trades (-$435.19).
- Success rate: 90%
- Based on 84 observations
- Confidence: 45% (seen 1 times)
- First identified: 2026-03-04
General Guidelines
- Never risk more than 2% of equity on a single trade
- Use stop-losses on every position
- Reduce position size in high volatility regimes
- Don't add to losing positions
Confidence Guide
This skill is automatically generated and updated by the Observer Agent.

