[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FAPF7GJVDX8D6MSA0DPPY7":3,"skill-same:01M6FAPF7GJVDX8D6MSA0DPPY7":74},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":56,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":58,"updatedAt":59,"install":60,"resources":73},"01M6FAPF7GJVDX8D6MSA0DPPY7","generating-trading-signals",null,"Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.).\nCombines multiple indicators into composite signals with confidence scores.\nUse when analyzing assets for trading opportunities or checking technical indicators.\nTrigger with phrases like \"get trading signals\", \"check indicators\", \"analyze for entry\",\n\"scan for opportunities\", \"generate buy\u002Fsell signals\", or \"technical analysis\".","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fgenerating-trading-signals\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"signals","generating trading signals","trading","rsi","trading-signals","technical analysis","trigger","io","get","scan","openclaw","edit","write","read","analyze","Bash","analysis","analyzing","code","generate","2026-11-10 10:12:30",false,"---\nname: generating-trading-signals\ndescription: |\n  Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.).\n  Combines multiple indicators into composite signals with confidence scores.\n  Use when analyzing assets for trading opportunities or checking technical indicators.\n  Trigger with phrases like \"get trading signals\", \"check indicators\", \"analyze for entry\",\n  \"scan for opportunities\", \"generate buy\u002Fsell signals\", or \"technical analysis\".\nallowed-tools: Read, Write, Edit, Grep, Glob, Bash(python:*)\nversion: 2.0.0\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\nlicense: MIT\ncompatible-with: claude-code, codex, openclaw\ntags: [crypto, trading-signals]\n\n---\n# Generating Trading Signals\n\n## Overview\n\nMulti-indicator signal generation system that analyzes price action using 7 technical indicators and produces composite BUY\u002FSELL signals with confidence scores and risk management levels.\n\n**Indicators**: RSI, MACD, Bollinger Bands, Trend (SMA 20\u002F50\u002F200), Volume, Stochastic Oscillator, ADX.\n\n## Prerequisites\n\nInstall required dependencies:\n\n```bash\nset -euo pipefail\npip install yfinance pandas numpy\n```\n\nOptional for visualization: `pip install matplotlib`\n\n## Instructions\n\n1. **Quick signal scan** across multiple assets:\n   ```bash\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_top10 --period 6m\n   ```\n   Output shows signal type (STRONG_BUY\u002FBUY\u002FNEUTRAL\u002FSELL\u002FSTRONG_SELL) and confidence per asset.\n\n2. **Detailed signal analysis** for a specific symbol:\n   ```bash\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --symbols BTC-USD --detail\n   ```\n   Shows each indicator's individual signal, value, and reasoning.\n\n3. **Filter and rank** the best opportunities:\n   ```bash\n   # Only buy signals with 70%+ confidence\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --filter buy --min-confidence 70 --rank confidence\n\n   # Save results to JSON\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --output signals.json\n   ```\n\n4. **Use predefined watchlists**:\n   ```bash\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --list-watchlists\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_defi\n   ```\n   Available: `crypto_top10`, `crypto_defi`, `crypto_layer2`, `stocks_tech`, `etfs_major`\n\n## Output\n\nThe scanner produces a summary table with symbol, signal type, confidence %, price, and stop loss for each asset scanned. Detailed mode adds per-indicator breakdowns with risk management levels (stop loss, take profit, risk\u002Freward ratio).\n\n**Signal types**: STRONG_BUY (+2), BUY (+1), NEUTRAL (0), SELL (-1), STRONG_SELL (-2)\n\n**Confidence ranges**: 70-100% high conviction | 50-70% moderate | 30-50% weak | 0-30% avoid\n\nSee `${CLAUDE_SKILL_DIR}\u002Freferences\u002Fimplementation.md` for full output format examples and signal type tables.\n\n## Error Handling\n\n| Error | Cause | Fix |\n|-------|-------|-----|\n| No data for symbol | Invalid ticker or delisted | Verify symbol exists on Yahoo Finance |\n| Insufficient data | Period too short for indicators | Use `--period 6m` minimum |\n| Rate limit exceeded | Too many rapid API calls | Add delay between scans |\n\nSee `${CLAUDE_SKILL_DIR}\u002Freferences\u002Ferrors.md` for comprehensive error handling.\n\n## Examples\n\n**Morning crypto scan** - Check all top-10 crypto assets for entry opportunities:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_top10 --period 6m\n```\n\n**Deep dive on Bitcoin** - Full indicator breakdown with risk management levels:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --symbols BTC-USD --detail\n```\n\n**Find strongest DeFi buy signals** - Filter and rank by confidence:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_defi --filter buy --rank confidence\n```\n\n**Export results** - Save to JSON for automated pipeline or further analysis:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_top10 --output signals.json\n```\n\n## Resources\n\n- **yfinance** for price data\n- **pandas\u002Fnumpy** for calculations\n- Compatible with trading-strategy-backtester plugin\n- `${CLAUDE_SKILL_DIR}\u002Freferences\u002Fimplementation.md` - Output formats, configuration, backtester integration, file reference\n\n","# Generating Trading Signals\n\n## Overview\n\nMulti-indicator signal generation system that analyzes price action using 7 technical indicators and produces composite BUY\u002FSELL signals with confidence scores and risk management levels.\n\n**Indicators**: RSI, MACD, Bollinger Bands, Trend (SMA 20\u002F50\u002F200), Volume, Stochastic Oscillator, ADX.\n\n## Prerequisites\n\nInstall required dependencies:\n\n```bash\nset -euo pipefail\npip install yfinance pandas numpy\n```\n\nOptional for visualization: `pip install matplotlib`\n\n## Instructions\n\n1. **Quick signal scan** across multiple assets:\n   ```bash\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_top10 --period 6m\n   ```\n   Output shows signal type (STRONG_BUY\u002FBUY\u002FNEUTRAL\u002FSELL\u002FSTRONG_SELL) and confidence per asset.\n\n2. **Detailed signal analysis** for a specific symbol:\n   ```bash\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --symbols BTC-USD --detail\n   ```\n   Shows each indicator's individual signal, value, and reasoning.\n\n3. **Filter and rank** the best opportunities:\n   ```bash\n   # Only buy signals with 70%+ confidence\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --filter buy --min-confidence 70 --rank confidence\n\n   # Save results to JSON\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --output signals.json\n   ```\n\n4. **Use predefined watchlists**:\n   ```bash\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --list-watchlists\n   python ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_defi\n   ```\n   Available: `crypto_top10`, `crypto_defi`, `crypto_layer2`, `stocks_tech`, `etfs_major`\n\n## Output\n\nThe scanner produces a summary table with symbol, signal type, confidence %, price, and stop loss for each asset scanned. Detailed mode adds per-indicator breakdowns with risk management levels (stop loss, take profit, risk\u002Freward ratio).\n\n**Signal types**: STRONG_BUY (+2), BUY (+1), NEUTRAL (0), SELL (-1), STRONG_SELL (-2)\n\n**Confidence ranges**: 70-100% high conviction | 50-70% moderate | 30-50% weak | 0-30% avoid\n\nSee `${CLAUDE_SKILL_DIR}\u002Freferences\u002Fimplementation.md` for full output format examples and signal type tables.\n\n## Error Handling\n\n| Error | Cause | Fix |\n|-------|-------|-----|\n| No data for symbol | Invalid ticker or delisted | Verify symbol exists on Yahoo Finance |\n| Insufficient data | Period too short for indicators | Use `--period 6m` minimum |\n| Rate limit exceeded | Too many rapid API calls | Add delay between scans |\n\nSee `${CLAUDE_SKILL_DIR}\u002Freferences\u002Ferrors.md` for comprehensive error handling.\n\n## Examples\n\n**Morning crypto scan** - Check all top-10 crypto assets for entry opportunities:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_top10 --period 6m\n```\n\n**Deep dive on Bitcoin** - Full indicator breakdown with risk management levels:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --symbols BTC-USD --detail\n```\n\n**Find strongest DeFi buy signals** - Filter and rank by confidence:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_defi --filter buy --rank confidence\n```\n\n**Export results** - Save to JSON for automated pipeline or further analysis:\n```bash\npython ${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fscanner.py --watchlist crypto_top10 --output signals.json\n```\n\n## Resources\n\n- **yfinance** for price data\n- **pandas\u002Fnumpy** for calculations\n- Compatible with trading-strategy-backtester plugin\n- `${CLAUDE_SKILL_DIR}\u002Freferences\u002Fimplementation.md` - Output formats, configuration, backtester integration, file 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