risk-management
Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.
DeepseekModel
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v1.0.0
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name risk-management description Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses. 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 Trade frequency must be inversely propor... 88% 109 45% 1x Multi-timeframe bearish alignment (15m, ... 88% 383 99% 2x In uniformly bearish markets, 'low-sever... 85% 49 85% 1x Validation checks passing ('validation p... 85% 200 95% 1x High trade frequency (189-200 trades/24h... 85% 389 95% 1x When ALL 5 tracked assets are positive o... 85% 113 95% 1x Position sizing at 2% equity risk with 2... 80% 49 85% 1x Self-reflective position management (jou... 80% 48 80% 1x Forum/social sentiment filtering provide... 80% 24 95% 1x Closing SHORT positions 'to lock in gain... 78% 48 85% 1x Low leverage (2x) on SHORT positions wit... 75% 48 85% 1x Position sizing at 2% equity risk with 2... 75% 172 90% 1x Low trade frequency (<40 trades/24h) pre... 75% 48 95% 1x In uniformly bearish markets, SHORT-bias... 75% 3 41% 1x Avoid momentum-following strategies in m... 75% 33 95% 1x Self-reflective position management (rec... 75% 27 95% 1x Contrarian strategies underperform in mi... 70% 16 82% 1x Cap trade frequency at 15 trades/24h max... 70% 113 95% 1x Cap trade frequency at 16 trades/24h max... 67% 86 65% 1x In mixed/low-volatility markets (daily m... 67% 146 95% 1x Self-reflective position management (jou... 65% 65 45% 1x Multi-timeframe bearish alignment (15m, ... 50% 337 90% 1x High trade frequency (165-172 trades/24h... 50% 337 90% 1x High trade frequency (183 trades/24h) ca... 50% 366 90% 1x In uniformly bearish markets with mild d... 50% 6 57% 1x Validation checks passing ('all checks p... 41% 998 94% 2x Closing positions due to 'conflicting ti... 35% 20 80% 1x Trade frequency inversely correlates wit... 33% 86 65% 1x Cutting small losses quickly (-$0.14 to ... 30% 131 90% 1x Cutting small losses quickly (-$38 on SO... 30% 147 95% 1x Contrarian LONG entries in bullish marke... 30% 6 62% 1x Closing positions 'to reduce concentrati... 30% 708 99% 3x Closing positions 'to reduce concentrati... 25% 165 90% 1x Validation checks passing ('all checks p... 25% 501 95% 1x High concentration warnings (127% of equ... 25% 166 95% 1x Multi-timeframe alignment (15m, 1h, 4h) ... 15% 298 50% 1x Low trade frequency (<20 trades/24h) in ... 15% 25 95% 1x Position sizing at 2% equity risk with 2... 15% 166 95% 1x 2% equity risk with 2:1 reward ratio con... 15% 58 45% 1x 2% equity risk with 2:1 reward ratio FAI... 10% 31 95% 1x Cutting small losses quickly (-$0.01 to ... 5% 152 90% 1x Position sizing at 2% equity risk with 2... 0% 334 50% 1x High leverage (4x-5x) with 'optimal' ris... 0% 132 50% 1x Self-reflective position management (jou... 0% 62 65% 1x Low-frequency LONG entries in a bearish ... 0% 4 43% 1x Contrarian LONG entries in uniformly bea... 0% 9 53% 1x Skill-aware validation frameworks (2% eq... 0% 27 90% 1x Contrarian LONG entries in bearish marke... 0% 11 67% 1x 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 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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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |