risk-management

Installation
Summary

Data-driven position sizing and stop-loss rules extracted from 13,385 historical trades.

  • Prioritize explicit risk validation before entry: trades with documented risk-per-trade checks and 2:1 reward ratios show 92% success rates and +$1,379 average PnL
  • Adapt trade frequency to market regime: flat markets tolerate 3–6 trades maximum; choppy markets require 0–10 trades per 24 hours; excessive frequency (150+ trades) correlates with losses exceeding $500
  • Apply position sizing caps: limit single trades to 2% equity risk and diversify across multiple assets rather than concentrating positions
  • Close losing positions proactively near breakeven to free capital; close short positions immediately when momentum shifts
SKILL.md

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:

Rule Success Rate Samples Confidence Seen
Trade frequency inversely correlates wit... 95% 473 50% 1x
When ALL 5 tracked assets are positive o... 95% 58 45% 1x
Position sizing at 2% equity risk with 2... 92% 183 90% 1x
Position sizing at 2% equity risk with 2... 92% 200 95% 1x
Cap trade frequency at 10 trades/24h max... 90% 84 45% 1x
Closing LONG positions quickly to pivot ... 88% 50 95% 1x
Related skills
Installs
1.4K
GitHub Stars
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First Seen
Jan 24, 2026