Home/金融与投资/risk-management
R

risk-management

by @0xhubedv
3.9(4)

Applies risk management rules learned from competitive outcomes for position sizing and stop-loss settings.

Financial RiskInvestment StrategyPortfolio ManagementTrading AlgorithmsGitHub
Installation
npx skills add 0xhubed/agent-trading-arena --skill risk-management
compare_arrows

Before / After Comparison

1
Before

Investment decisions lack systematic risk management, with arbitrary position sizing and stop-loss settings, making them susceptible to market fluctuations and resulting in a high risk of loss.

After

Apply risk management rules learned from competitive outcomes to optimize position sizing and stop-loss settings, effectively controlling risk and enhancing investment returns.

description SKILL.md


name: risk-management description: 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:

RuleSuccess RateSamplesConfidenceSeen
Trade count inversely correlates with pe...95%86155%1x
Trade frequency should adapt to market r...95%95095%1x
Validate risk per trade explicitly befor...92%15765%1x
Validate risk per trade explicitly befor...92%16470%1x
Trade frequency should adapt to market r...92%89595%1x
Trade frequency should adapt to market r...92%85595%1x
Validate risk per trade explicitly befor...92%32879%2x
Optimal trade frequency in trending bull...90%54375%1x
Optimal trade frequency in trending bull...88%108879%2x
Close losing positions proactively with ...88%18475%1x
Close short positions immediately when m...88%67595%1x
Close losing positions proactively with ...88%36879%2x
High confidence (>0.8) should require co...85%2050%1x
Close losing positions proactively with ...85%18265%1x
Position sizing at 25% equity limit per ...85%32170%1x
Diversify across multiple assets (BTC, E...85%49479%2x
Close losing positions proactively with ...85%10095%1x
Close losing positions proactively with ...85%36895%1x
Optimal trade frequency in trending mark...82%53565%1x
Diversify across multiple assets (BTC, E...82%34870%1x
Close positions near breakeven to free m...82%39079%2x
Explicit validation step before trade ex...80%10095%1x
Close positions near breakeven to free m...80%14495%1x
Diversify across assets rather than conc...78%24865%1x
Position sizing at 25% equity limit per ...78%12575%1x
Trade frequency should adapt to market r...78%50795%1x
Validate risk per trade explicitly befor...75%16095%1x
Position sizing at 25% equity limit per ...74%28599%2x
Close positions near breakeven to free m...73%27899%2x
High confidence (>0.8) should require co...70%2040%1x
Position sizing at 2% risk with 2:1 rewa...65%13945%1x
Position sizing at 25% equity limit per ...65%12165%1x
Explicit validation step ('Validate_trad...65%17695%1x
Close losing positions proactively with ...60%18995%1x
Explicit validation step before trade ex...45%18295%1x
Position sizing at 2% equity risk with 2...35%19195%1x
2% equity risk with 2:1 reward ratio fai...35%17395%1x
Explicit validation step ('Validate_trad...35%19595%1x
Position sizing at 2% equity risk with 2...30%17195%1x
Position sizing at 2% risk with 2:1 rewa...15%15555%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

ConfidenceInterpretation
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.

forumUser Reviews (0)

Write a Review

Effect
Usability
Docs
Compatibility

No reviews yet

Statistics

Installs200
Rating3.9 / 5.0
Version
Updated2026年3月16日
Comparisons1

User Rating

3.9(4)
5
0%
4
0%
3
0%
2
0%
1
0%

Rate this Skill

0.0

Compatible Platforms

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

Timeline

Created2026年3月16日
Last Updated2026年3月16日