risk-management

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Risk Management

风险管理

Last updated: 2026-01-17 20:31 UTC Active patterns: 40 Total samples: 13385 Confidence threshold: 60%
最后更新时间:2026-01-17 20:31 UTC 有效模式数量:40 总样本数:13385 置信度阈值:60%

Core Principles

核心原则

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
以下规则通过分析盈利与亏损交易总结得出:
规则成功率样本数置信度出现次数
震荡市场中交易次数与收益成负相关95%86155%1x
交易频率应适配市场周期95%95095%1x
入场前明确验证单笔交易风险92%15765%1x
入场前明确验证单笔交易风险92%16470%1x
交易频率应适配市场周期92%89595%1x
交易频率应适配市场周期92%85595%1x
入场前明确验证单笔交易风险92%32879%2x
趋势牛市中的最优交易频率90%54375%1x
趋势牛市中的最优交易频率88%108879%2x
主动平仓亏损仓位88%18475%1x
市场出现特定信号时立即平仓空头仓位88%67595%1x
主动平仓亏损仓位88%36879%2x
高置信度(>0.8)需结合其他信号85%2050%1x
主动平仓亏损仓位85%18265%1x
单资产仓位上限为权益的25%85%32170%1x
跨多资产分散投资(BTC、ETH...)85%49479%2x
主动平仓亏损仓位85%10095%1x
主动平仓亏损仓位85%36895%1x
趋势市场中的最优交易频率82%53565%1x
跨多资产分散投资(BTC、ETH...)82%34870%1x
平仓接近盈亏平衡点的仓位以释放资金82%39079%2x
交易执行前的明确验证步骤80%10095%1x
平仓接近盈亏平衡点的仓位以释放资金80%14495%1x
分散资产投资而非集中持仓78%24865%1x
单资产仓位上限为权益的25%78%12575%1x
交易频率应适配市场周期78%50795%1x
入场前明确验证单笔交易风险75%16095%1x
单资产仓位上限为权益的25%74%28599%2x
平仓接近盈亏平衡点的仓位以释放资金73%27899%2x
高置信度(>0.8)需结合其他信号70%2040%1x
2%风险仓位搭配2:1收益比65%13945%1x
单资产仓位上限为权益的25%65%12165%1x
明确验证步骤('Validate_trad...65%17695%1x
主动平仓亏损仓位60%18995%1x
交易执行前的明确验证步骤45%18295%1x
2%权益风险搭配2:1收益比35%19195%1x
2%权益风险搭配2:1收益比失效35%17395%1x
明确验证步骤('Validate_trad...35%19595%1x
2%权益风险搭配2:1收益比30%17195%1x
2%风险仓位搭配2:1收益比15%15555%1x

Top Risk Rules

顶级风险管理规则

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

震荡市场中交易次数与收益成负相关:3-6笔交易≈0美元PnL,70-180笔交易亏损55-141美元,150-225笔交易亏损325-581美元

  • Success rate: 95%
  • Based on 861 observations
  • Confidence: 55% (seen 1 times)
  • First identified: 2026-01-13
  • 成功率:95%
  • 基于861次观测
  • 置信度:55%(出现1次)
  • 首次发现时间: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.

交易频率应适配市场周期:震荡/混合型市场单日交易上限为0-10笔。201笔交易亏损360.24美元,2笔交易亏损0.29美元,0笔交易收益0.00美元。

  • Success rate: 95%
  • Based on 950 observations
  • Confidence: 95% (seen 1 times)
  • First identified: 2026-01-17
  • 成功率:95%
  • 基于950次观测
  • 置信度:95%(出现1次)
  • 首次发现时间: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.

入场前明确验证单笔交易风险。skill_aware_oss的决策逻辑包含“单笔交易风险在限额内”和“投资组合风险在限额内”——该验证步骤对应1349美元的正PnL。

  • Success rate: 92%
  • Based on 157 observations
  • Confidence: 65% (seen 1 times)
  • First identified: 2026-01-14
  • 成功率:92%
  • 基于157次观测
  • 置信度:65%(出现1次)
  • 首次发现时间: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).

入场前以2%权益风险搭配2:1收益比明确验证单笔交易风险。skill_aware_oss的决策逻辑包含“风险收益比为2:1且权益风险为2%”和“交易验证通过”,实现最佳收益(+1379.66美元)。

  • Success rate: 92%
  • Based on 164 observations
  • Confidence: 70% (seen 1 times)
  • First identified: 2026-01-14
  • 成功率:92%
  • 基于164次观测
  • 置信度:70%(出现1次)
  • 首次发现时间: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).

交易频率应适配市场周期:温和牛市单日交易上限为0-30笔。超过100笔交易对应亏损(50-264美元)。

  • Success rate: 92%
  • Based on 895 observations
  • Confidence: 95% (seen 1 times)
  • First identified: 2026-01-17
  • 成功率:92%
  • 基于895次观测
  • 置信度:95%(出现1次)
  • 首次发现时间:2026-01-17

General Guidelines

通用准则

  • 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

  • 单笔交易风险绝不超过权益的2%
  • 所有仓位均设置止损
  • 高波动周期下降低仓位规模
  • 不要为亏损仓位加仓

Confidence Guide

置信度指南

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.
置信度解读
90%+高置信度 - 具备坚实历史数据支撑
70-90%中等置信度 - 需结合其他信号使用
60-70%低置信度 - 仅作为参考输入之一
<60%实验性规则 - 需要更多数据验证
本技能由Observer Agent自动生成并更新。