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Eliminates ad-hoc calls and enforce...\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-05-14T03:55:20.950Z | auto\n\n- Initial release of the Crypto Trading Decision Framework.\n- Provides a structured 3-gate system for every trade: position sizing, entry checklist, and exit plan.\n- Enforces disciplined risk management to prevent common trader errors like oversizing, moving stops, or holding losers.\n- Includes decision trees for trade halts and live strategy underperformance.\n- Standardizes scenario triggers, R:R/win rate requirements, and escalation for major capital actions.\n- Sets a clear output format and confidence tagging for all trade recommendations.\n\nArchive index:\n\nArchive v1.0.0: 4 files, 5522 bytes\n\nFiles: LICENSE (926b), skill-card.md (1843b), SKILL.md (7081b), _meta.json (155b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: crypto-trading-decision-framework\nemoji: 📊\ncategory: Finance & Trading\ntags: [trading, crypto, position-sizing, risk-management, entry-exit, decision-framework]\ndescription: >\n  Structured decision system for crypto traders — position sizing, entry checklist, exit framework,\n  and halt decision tree. Eliminates ad-hoc calls and enforces disciplined risk management on every trade.\n  Use when sizing a new position, evaluating an entry, managing a live trade, or deciding when to halt\n  a strategy. Prevents the most common trader failure modes: oversizing, moving stops, and holding losers.\nauthor: Kenneth Kim (KK_HoldCo)\nversion: 1.0.0\n---\n\n# Crypto Trading Decision Framework\n\n**Bottom line:** Every trade decision runs through 3 gates — sizing, entry checklist, exit plan. If any gate fails, the trade doesn't happen. No exceptions.\n\n---\n\n## When to invoke\n\nAny trading discussion that involves:\n- New position entry recommendation\n- Position sizing for any asset\n- Stop loss / take profit calibration\n- Risk-reward analysis\n- Live trade management\n- Strategy halt / kill decisions\n- Portfolio concentration calls\n\n---\n\n## Gate 1 — Position Sizing\n\n### Step 1: Risk per trade\n- **Default:** 1% of total liquid portfolio per single trade\n- **Aggressive:** 2% if conviction ≥85% AND backtest sample n≥30 trades\n- **Conservative:** 0.5% on first trade in a new strategy or unfamiliar asset\n\n### Step 2: Stop distance\n- **Hard stop:** Always at the level that technically invalidates the thesis\n- **Time stop:** Default 48 bars on 4H, 24 bars on 1H (strategy isn't playing out on schedule = exit)\n- **Trailing stop:** Activate after first 1R achieved; trail at 0.5R below current price\n\n### Step 3: Position size formula\n```\nPosition size (notional) = (Risk % ÷ Stop distance %) × Liquid portfolio\nExample: 1% risk, 1.5% stop distance → (1/1.5) × $50,000 = ~$33,333 notional\n```\n\nFor leveraged accounts: cap leverage at 3× for new strategies, 5× for proven strategies with n≥50 live trades.\n\n---\n\n## Gate 2 — Entry Checklist (must answer all YES)\n\n1. ☐ Backtest sample size n ≥ 20 trades\n2. ☐ Profit factor (PF) ≥ 1.3 in out-of-sample test window (not just training)\n3. ☐ Max drawdown (MDD) ≤ 20%\n4. ☐ Out-of-sample (OOS) returns positive\n5. ☐ Strategy has a clear thesis — not just curve-fitting\n6. ☐ Current market regime matches strategy's design regime (mean-reversion in choppy, trend-following in trending)\n7. ☐ Position size compliant with Gate 1 above\n8. ☐ Hard stop level identified pre-entry\n9. ☐ Time exit level identified pre-entry\n10. ☐ Take profit ladder identified (TP1 / TP2 / TP3 if multi-target)\n\n**Scoring:**\n- 10/10 YES → proceed\n- 8-9/10 YES → proceed with caution, note the gaps\n- < 8/10 YES → DO NOT ENTER\n- < 6/10 YES → KILL THE STRATEGY entirely\n\n---\n\n## Gate 3 — Exit Framework\n\n### Priority order for exits\n1. **Hard stop hit** — thesis invalidated. Cut without question. No re-evaluation during the close.\n2. **Time stop hit** — strategy hasn't played out in expected timeframe. Exit at market.\n3. **Take profit hit** — pre-planned TP reached. Exit per ladder (e.g., 50% at TP1, 25% at TP2, 25% trail).\n4. **Signal flip** — strategy generates the opposite signal. Exit + flip.\n5. **Regime change** — macro backdrop has shifted materially (e.g., dominance flip, Fear & Greed regime change).\n6. **Discretionary** — user decision. Done.\n\n### What NOT to do (the most common losses)\n- ❌ Moving stops further away mid-trade (\"just give it more room\")\n- ❌ Adding to losing positions (\"averaging down\" on a broken thesis)\n- ❌ Early exit on a winner before TP1 unless thesis explicitly broke\n- ❌ Second-guessing a planned exit because of hope or FOMO\n- ❌ Holding past time stop because \"it might come back\"\n\n---\n\n## R:R Minimums by Strategy Type\n\n| Strategy type | Minimum R:R | Win rate floor |\n|---|---|---|\n| Mean reversion | 1.5:1 | 60% |\n| Trend following | 2.5:1 | 40% |\n| Breakout | 3:1 | 35% |\n| News-driven / event | 4:1 | 30% |\n| Funding/yield carry | N/A | N/A |\n\nIf a setup doesn't clear BOTH the R:R minimum and the historical win rate floor → **DO NOT RECOMMEND**.\n\n---\n\n## Strategy Halt Decision Tree\n\nWhen a live strategy is underperforming, work through this tree top to bottom:\n\n```\n1. Has the strategy hit its account-level kill-switch loss?\n   YES → HALT immediately. Post-mortem before any restart.\n   NO → next step.\n\n2. Has the strategy hit -3R drawdown beyond its expected backtest MDD?\n   YES → PAUSE for 5 trading days. Re-evaluate regime fit.\n   NO → next step.\n\n3. Is the live profit factor ≤ 50% of backtest PF over n≥10 live trades?\n   YES → SHRINK position size 50%, run another 10 trades, re-evaluate.\n   NO → next step.\n\n4. Has the strategy produced zero signals for N days, where N > 2× expected signal frequency?\n   YES → Strategy is dead in current regime. KILL or re-tune thresholds.\n   NO → Normal volatility. No action needed.\n```\n\n---\n\n## Real-Money Escalation Rules\n\nThese always require human approval — never autonomous execution:\n- New live capital deployment of any size\n- Increasing an existing live capital allocation\n- Moving a strategy from paper to live\n- Stop loss override or removal\n- Adding to a losing position\n- Manual close of an open live position\n- Any single action that reduces account equity by >5%\n\n---\n\n## 4-Model Consensus Rule (for large capital decisions)\n\nFor any deployment of significant capital:\n1. **Primary LLM** — full recommendation with confidence tags\n2. **Second LLM** — independent macro + asset-specific opinion\n3. **Third LLM** — code/execution path audit + edge case check\n4. **Fourth LLM** — risk/sizing sanity check\n\nIf 2+ models disagree → defer 24h, re-run consensus tomorrow. Disagreement = edge case, not clear enough to act.\n\n---\n\n## Confidence Tags (include on every trading recommendation)\n\nAlways attach 3 tags to any trade call:\n- **Confidence:** % belief the recommendation is correct (60-95% typical)\n- **Research depth:** % of relevant data actually pulled this session (50-90% typical)\n- **Reality gap:** % unknowns / black-swan exposure (5-25% typical)\n\nExample: \"Confidence 82% / Research Depth 75% / Reality Gap 20%\"\n\nThis keeps recommendations honest and prevents overconfidence drift.\n\n---\n\n## Output Format\n\nWhen this framework produces a trade recommendation, structure it as:\n\n```\n## Trade Recommendation: [ASSET] [LONG/SHORT]\n\n**Thesis:** [1-2 sentences — why this setup exists]\n**Regime fit:** [why current market supports this strategy type]\n\n**Sizing:**\n- Portfolio size: $X\n- Risk per trade: $X (1%)\n- Stop distance: X%\n- Position notional: $X\n\n**Entry checklist:** X/10 YES [list any NO items]\n**R:R:** X:1 [minimum met: YES/NO]\n\n**Levels:**\n- Entry: $X\n- Hard stop: $X (thesis invalidated if price reaches here because: [reason])\n- TP1: $X (partial exit X%)\n- TP2: $X (partial exit X%)\n- Time stop: [date/bar count]\n\n**Confidence:** X% / Research Depth X% / Reality Gap X%\n\n**Escalation required:** YES/NO [why]\n```\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn75ggkachyrn0njhpwpyyj2xh86k96y\",\n  \"slug\": \"01-crypto-trading-decision-framework\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1778730920950\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nStructured decision system for crypto traders covering position sizing, entry checks, exit planning, and strategy halt decisions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pingukim225](https://clawhub.ai/user/pingukim225)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCrypto traders and agents assisting them use this skill to structure trade recommendations, position sizing, exits, and halt decisions before risking capital.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Outputs may be treated as high-risk financial guidance for crypto trading.\n\nMitigation: Independently verify recommendations before risking capital and keep the skill limited to analysis.\n\nRisk: Automated execution could place trades or move funds without proper review.\n\nMitigation: Do not allow the skill to place trades, move funds, or change live allocations automatically; require human approval for real-money actions.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/pingukim225/skills/01-crypto-trading-decision-framework)\n- [Publisher profile](https://clawhub.ai/user/pingukim225)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Markdown trade recommendation with sizing, checklist, levels, confidence tags, and escalation status.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires human approval for live capital deployment or trade execution.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release and SKILL.md frontmatter)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.0:LICENSE\n\nMIT No Attribution License\n\nCopyright 2026 Kenneth Kim (KK_HoldCo)\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.","readmeExcerpt":"Skill: 01 Crypto Trading Decision Framework Owner: pingukim225 Summary: Structured decision system for crypto traders — position sizing, entry checklist, exit framework, and halt decision tree. Eliminates ad-hoc calls and enforce... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-14T03:55:20.950Z | auto - Initial release of the Crypto Trading Decision Framework. - Provides a structured 3-gate system for every tr","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"Position size (notional) = (Risk % ÷ Stop distance %) × Liquid portfolio\nExample: 1% risk, 1.5% stop distance → (1/1.5) × $50,000 = ~$33,333 notional"},{"language":"text","snippet":"1. Has the strategy hit its account-level kill-switch loss?\n   YES → HALT immediately. Post-mortem before any restart.\n   NO → next step.\n\n2. Has the strategy hit -3R drawdown beyond its expected backtest MDD?\n   YES → PAUSE for 5 trading days. Re-evaluate regime fit.\n   NO → next step.\n\n3. Is the live profit factor ≤ 50% of backtest PF over n≥10 live trades?\n   YES → SHRINK position size 50%, run another 10 trades, re-evaluate.\n   NO → next step.\n\n4. Has the strategy produced zero signals for N days, where N > 2× expected signal frequency?\n   YES → Strategy is dead in current regime. KILL or re-tune thresholds.\n   NO → Normal volatility. No action needed."},{"language":"text","snippet":"## Trade Recommendation: [ASSET] [LONG/SHORT]\n\n**Thesis:** [1-2 sentences — why this setup exists]\n**Regime fit:** [why current market supports this strategy type]\n\n**Sizing:**\n- Portfolio size: $X\n- Risk per trade: $X (1%)\n- Stop distance: X%\n- Position notional: $X\n\n**Entry checklist:** X/10 YES [list any NO items]\n**R:R:** X:1 [minimum met: YES/NO]\n\n**Levels:**\n- Entry: $X\n- Hard stop: $X (thesis invalidated if price reaches here because: [reason])\n- TP1: $X (partial exit X%)\n- TP2: $X (partial exit X%)\n- Time stop: [date/bar count]\n\n**Confidence:** X% / Research Depth X% / Reality Gap X%\n\n**Escalation required:** YES/NO [why]"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: crypto-trading-decision-framework\nemoji: 📊\ncategory: Finance & Trading\ntags: [trading, crypto, position-sizing, risk-management, entry-exit, decision-framework]\ndescription: >\n  Structured decision system for crypto traders — position sizing, entry checklist, exit framework,\n  and halt decision tree. Eliminates ad-hoc calls and enforces disciplined risk management on every trade.\n  Use when sizing a new position, evaluating an entry, managing a live trade, or deciding when to halt\n  a strategy. Prevents the most common trader failure modes: oversizing, moving stops, and holding losers.\nauthor: Kenneth Kim (KK_HoldCo)\nversion: 1.0.0\n---\n\n# Crypto Trading Decision Framework\n\n**Bottom line:** Every trade decision runs through 3 gates — sizing, entry checklist, exit plan. If any gate fails, the trade doesn't happen. No exceptions.\n\n---\n\n## When to invoke\n\nAny trading discussion that involves:\n- New position entry recommendation\n- Position sizing for any asset\n- Stop loss / take profit calibration\n- Risk-reward analysis\n- Live trade management\n- Strategy halt / kill decisions\n- Portfolio concentration calls\n\n---\n\n## Gate 1 — Position Sizing\n\n### Step 1: Risk per trade\n- **Default:** 1% of total liquid portfolio per single trade\n- **Aggressive:** 2% if conviction ≥85% AND backtest sample n≥30 trades\n- **Conservative:** 0.5% on first trade in a new strategy or unfamiliar asset\n\n### Step 2: Stop distance\n- **Hard stop:** Always at the level that technically invalidates the thesis\n- **Time stop:** Default 48 bars on 4H, 24 bars on 1H (strategy isn't playing out on schedule = exit)\n- **Trailing stop:** Activate after first 1R achieved; trail at 0.5R below current price\n\n### Step 3: Position size formula\n```\nPosition size (notional) = (Risk % ÷ Stop distance %) × Liquid portfolio\nExample: 1% risk, 1.5% stop distance → (1/1.5) × $50,000 = ~$33,333 notional\n```\n\nFor leveraged accounts: cap leverage at 3× for new strategies, 5× for proven strategies with n≥50 live trades.\n\n---\n\n## Gate 2 — Entry Checklist (must answer all YES)\n\n1. ☐ Backtest sample size n ≥ 20 trades\n2. ☐ Profit factor (PF) ≥ 1.3 in out-of-sample test window (not just training)\n3. ☐ Max drawdown (MDD) ≤ 20%\n4. ☐ Out-of-sample (OOS) returns positive\n5. ☐ Strategy has a clear thesis — not just curve-fitting\n6. ☐ Current market regime matches strategy's design regime (mean-reversion in choppy, trend-following in trending)\n7. ☐ Position size compliant with Gate 1 above\n8. ☐ Hard stop level identified pre-entry\n9. ☐ Time exit level identified pre-entry\n10. ☐ Take profit ladder identified (TP1 / TP2 / TP3 if multi-target)\n\n**Scoring:**\n- 10/10 YES → proceed\n- 8-9/10 YES → proceed with caution, note the gaps\n- < 8/10 YES → DO NOT ENTER\n- < 6/10 YES → KILL THE STRATEGY entirely\n\n---\n\n## Gate 3 — Exit Framework\n\n### Priority order for exits\n1. **Hard stop hit** — thesis invalidated. Cut without question. No re-evaluation during the close.\n2. **Time stop hit** — strategy hasn't played out in "},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn75ggkachyrn0njhpwpyyj2xh86k96y\",\n  \"slug\": \"01-crypto-trading-decision-framework\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1778730920950\n}"},{"path":"skill-card.md","content":"## Description:\n\nStructured decision system for crypto traders covering position sizing, entry checks, exit planning, and strategy halt decisions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pingukim225](https://clawhub.ai/user/pingukim225)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCrypto traders and agents assisting them use this skill to structure trade recommendations, position sizing, exits, and halt decisions before risking capital.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Outputs may be treated as high-risk financial guidance for crypto trading.\n\nMitigation: Independently verify recommendations before risking capital and keep the skill limited to analysis.\n\nRisk: Automated execution could place trades or move funds without proper review.\n\nMitigation: Do not allow the skill to place trades, move funds, or change live allocations automatically; require human approval for real-money actions.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/pingukim225/skills/01-crypto-trading-decision-framework)\n- [Publisher profile](https://clawhub.ai/user/pingukim225)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Markdown trade recommendation with sizing, checklist, levels, confidence tags, and escalation status.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires human approval for live capital deployment or trade execution.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release and SKILL.md frontmatter)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"LICENSE","content":"MIT No Attribution License\n\nCopyright 2026 Kenneth Kim (KK_HoldCo)\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Structured decision system for crypto traders — position sizing, entry checklist, exit framework, and halt decision tree. Eliminates ad-hoc calls and enforce... Skill: 01 Crypto Trading Decision Framework Owner: pingukim225 Summary: Structured decision system for crypto traders — position sizing, entry checklist, exit framework, and halt decision tree. Eliminates ad-hoc calls and enforce... 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