risk-management

risk-management

Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.

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Aktualisiert 1/30/2026
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risk-management
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Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.

Risk Management

Last updated: 2026-01-17 20:31 UTC
Active patterns: 40
Total samples: 13385
Confidence threshold: 60%

Core Principles

These rules are derived from analyzing profitable vs losing trades:

Rule Success Rate Samples Confidence Seen
Trade count inversely correlates with pe... 95% 861 55% 1x
Trade frequency should adapt to market r... 95% 950 95% 1x
Validate risk per trade explicitly befor... 92% 157 65% 1x
Validate risk per trade explicitly befor... 92% 164 70% 1x
Trade frequency should adapt to market r... 92% 895 95% 1x
Trade frequency should adapt to market r... 92% 855 95% 1x
Validate risk per trade explicitly befor... 92% 328 79% 2x
Optimal trade frequency in trending bull... 90% 543 75% 1x
Optimal trade frequency in trending bull... 88% 1088 79% 2x
Close losing positions proactively with ... 88% 184 75% 1x
Close short positions immediately when m... 88% 675 95% 1x
Close losing positions proactively with ... 88% 368 79% 2x
High confidence (>0.8) should require co... 85% 20 50% 1x
Close losing positions proactively with ... 85% 182 65% 1x
Position sizing at 25% equity limit per ... 85% 321 70% 1x
Diversify across multiple assets (BTC, E... 85% 494 79% 2x
Close losing positions proactively with ... 85% 100 95% 1x
Close losing positions proactively with ... 85% 368 95% 1x
Optimal trade frequency in trending mark... 82% 535 65% 1x
Diversify across multiple assets (BTC, E... 82% 348 70% 1x
Close positions near breakeven to free m... 82% 390 79% 2x
Explicit validation step before trade ex... 80% 100 95% 1x
Close positions near breakeven to free m... 80% 144 95% 1x
Diversify across assets rather than conc... 78% 248 65% 1x
Position sizing at 25% equity limit per ... 78% 125 75% 1x
Trade frequency should adapt to market r... 78% 507 95% 1x
Validate risk per trade explicitly befor... 75% 160 95% 1x
Position sizing at 25% equity limit per ... 74% 285 99% 2x
Close positions near breakeven to free m... 73% 278 99% 2x
High confidence (>0.8) should require co... 70% 20 40% 1x
Position sizing at 2% risk with 2:1 rewa... 65% 139 45% 1x
Position sizing at 25% equity limit per ... 65% 121 65% 1x
Explicit validation step ('Validate_trad... 65% 176 95% 1x
Close losing positions proactively with ... 60% 189 95% 1x
Explicit validation step before trade ex... 45% 182 95% 1x
Position sizing at 2% equity risk with 2... 35% 191 95% 1x
2% equity risk with 2:1 reward ratio fai... 35% 173 95% 1x
Explicit validation step ('Validate_trad... 35% 195 95% 1x
Position sizing at 2% equity risk with 2... 30% 171 95% 1x
Position sizing at 2% risk with 2:1 rewa... 15% 155 55% 1x

Top Risk Rules

Trade count inversely correlates with performance in flat markets: 3-6 trades = ~$0 PnL, 70-180 trades = -$55 to -$141, 150-225 trades = -$325 to -$581

  • Success rate: 95%
  • Based on 861 observations
  • Confidence: 55% (seen 1 times)
  • First identified: 2026-01-13

Trade frequency should adapt to market regime: mixed/choppy markets require 0-10 trades/24h maximum. 201 trades = -$360.24, 2 trades = -$0.29, 0 trades = $0.00.

  • Success rate: 95%
  • Based on 950 observations
  • Confidence: 95% (seen 1 times)
  • First identified: 2026-01-17

Validate risk per trade explicitly before entry. skill_aware_oss reasoning includes 'risk per trade within limits' and 'portfolio risk is within limits' - this validation step correlates with +$1349 PnL.

  • Success rate: 92%
  • Based on 157 observations
  • Confidence: 65% (seen 1 times)
  • First identified: 2026-01-14

Validate risk per trade explicitly before entry with 2% equity risk and 2:1 reward ratio. skill_aware_oss reasoning includes 'risk/reward is 2:1 with 2% equity risk' and 'trade validation passed', achieving best performance (+$1379.66).

  • Success rate: 92%
  • Based on 164 observations
  • Confidence: 70% (seen 1 times)
  • First identified: 2026-01-14

Trade frequency should adapt to market regime: moderate bull markets require 0-30 trades/24h maximum. Above 100 trades correlates with losses (-$50 to -$264).

  • Success rate: 92%
  • Based on 895 observations
  • Confidence: 95% (seen 1 times)
  • First identified: 2026-01-17

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

Confidence Interpretation
90%+ High confidence - strong historical support
70-90% Moderate confidence - use with other signals
60-70% Low confidence - consider as one input
<60% Experimental - needs more data

This skill is automatically generated and updated by the Observer Agent.

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