[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CT3GDAKPZW9VXSSZ2QR65J":3,"skill-same:01M6CT3GDAKPZW9VXSSZ2QR65J":63},{"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":28,"linkOnly":29,"markdownContent":30,"markdownBody":31,"frontMatter":32,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":14,"repositoryHtmlUrl":36,"repositoryHomepageUrl":6,"ownerHtmlUrl":37,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":38,"install":39,"resources":52},"01M6CT3GDAKPZW9VXSSZ2QR65J","market-analysis",null,"Technical analysis indicators, volatility metrics, market overview, and exchange comparison for crypto tokens","lucid-fdn\u002Flucid-plugins","lucid-fdn","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F93290671?v=4","01M6CT12EHKN5DWVD9NAK6WSXT","Lucid","01M6CT12K0ARYZ8D28MK4G89F8",0,"MIT","https:\u002F\u002Fgithub.com\u002Flucid-fdn\u002Flucid-plugins\u002Fblob\u002Fmain\u002Flucid-trade\u002Fskill\u002Freferences\u002Fmarket-analysis\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27],"analysis","Market","market analysis","metrics","Volatility","indicators","technical","overview","crypto","2026-11-10 10:12:30",false,"---\nname: market-analysis\ndescription: \"Technical analysis indicators, volatility metrics, market overview, and exchange comparison for crypto tokens\"\n---\n\n# Market Analysis\n\nPerform technical analysis on crypto tokens using standard indicators, assess volatility regimes, and compare prices across exchanges for best execution.\n\n## Technical Analysis Procedure\n\nWhen the user asks to analyze a token, follow this procedure:\n\n1. **Fetch OHLCV data** for the requested token and timeframe using a blockchain explorer MCP (Alchemy, Etherscan) or market data API (Birdeye). Minimum 50 bars for trend detection, 100+ bars recommended.\n\n2. **Compute indicators** using the formulas in `references\u002Findicators.md`:\n   - **RSI (14)** -- Momentum oscillator, range 0-100\n   - **MACD (12, 26, 9)** -- Trend-following momentum\n   - **Bollinger Bands (20, 2 sigma)** -- Volatility envelope\n   - **Trend Detection** -- SMA 20\u002F50 crossover classification\n   - **Support\u002FResistance** -- Swing high\u002Flow detection\n\n3. **Interpret signals** and produce a recommendation:\n\n| Indicator | Bullish Signal | Bearish Signal |\n|-----------|---------------|----------------|\n| RSI | \u003C 30 (oversold) | > 70 (overbought) |\n| MACD | Positive histogram, MACD above signal | Negative histogram, MACD below signal |\n| Bollinger Bands | Price below lower band (oversold) | Price above upper band (overbought) |\n| Trend | Price > SMA20 > SMA50 | Price \u003C SMA20 \u003C SMA50 |\n| Support\u002FResistance | Price bouncing off support | Price rejected at resistance |\n\n4. **Score confidence** (0-100) based on how many indicators agree on direction.\n\n5. **Present recommendation**: strong_buy, buy, neutral, sell, or strong_sell.\n\n## Volatility Analysis\n\nVolatility determines position sizing and risk. Compute these metrics:\n\n- **Historical Volatility**: Annualized standard deviation of log returns over the last 20 periods. Formula: `sqrt(variance_of_log_returns * 365) * 100`. See `references\u002Findicators.md` for full detail.\n- **ATR (Average True Range)**: Smoothed average of true range over 14 periods. True Range = max(high-low, |high-prevClose|, |low-prevClose|).\n- **ATR%**: ATR \u002F Price * 100. Normalizes ATR for cross-asset comparison.\n- **Bollinger Band Width**: (Upper - Lower) \u002F Middle * 100. Measures relative volatility.\n\n### Volatility Regimes\n\n| Regime | Historical Volatility | Position Sizing Implication |\n|--------|----------------------|----------------------------|\n| Low | \u003C 30% | Can use larger positions (up to max) |\n| Moderate | 30% - 60% | Standard position sizing |\n| High | 60% - 100% | Reduce position size by 50% |\n| Extreme | > 100% | Reduce position size by 75% or avoid |\n\n## Exchange Comparison\n\nTo find the best execution price for a swap:\n\n1. Query multiple DEX aggregators for the same pair and amount (see `references\u002Fproviders.md` for API details):\n   - **Jupiter** for Solana tokens\n   - **1inch** for EVM tokens (Ethereum, BSC, Arbitrum, Base, Polygon)\n\n2. Compare quotes on: output amount, price impact, estimated gas, and route.\n\n3. Recommend the exchange with the best net output (output amount minus fees and gas).\n\n## Data Sources\n\nUse blockchain explorer MCPs (Alchemy, Etherscan) or market data APIs for live data. See `references\u002Fproviders.md` for supported providers, endpoints, and chain coverage.\n","# Market Analysis\n\nPerform technical analysis on crypto tokens using standard indicators, assess volatility regimes, and compare prices across exchanges for best execution.\n\n## Technical Analysis Procedure\n\nWhen the user asks to analyze a token, follow this procedure:\n\n1. **Fetch OHLCV data** for the requested token and timeframe using a blockchain explorer MCP (Alchemy, Etherscan) or market data API (Birdeye). Minimum 50 bars for trend detection, 100+ bars recommended.\n\n2. **Compute indicators** using the formulas in `references\u002Findicators.md`:\n   - **RSI (14)** -- Momentum oscillator, range 0-100\n   - **MACD (12, 26, 9)** -- Trend-following momentum\n   - **Bollinger Bands (20, 2 sigma)** -- Volatility envelope\n   - **Trend Detection** -- SMA 20\u002F50 crossover classification\n   - **Support\u002FResistance** -- Swing high\u002Flow detection\n\n3. **Interpret signals** and produce a recommendation:\n\n| Indicator | Bullish Signal | Bearish Signal |\n|-----------|---------------|----------------|\n| RSI | \u003C 30 (oversold) | > 70 (overbought) |\n| MACD | Positive histogram, MACD above signal | Negative histogram, MACD below signal |\n| Bollinger Bands | Price below lower band (oversold) | Price above upper band (overbought) |\n| Trend | Price > SMA20 > SMA50 | Price \u003C SMA20 \u003C SMA50 |\n| Support\u002FResistance | Price bouncing off support | Price rejected at resistance |\n\n4. **Score confidence** (0-100) based on how many indicators agree on direction.\n\n5. **Present recommendation**: strong_buy, buy, neutral, sell, or strong_sell.\n\n## Volatility Analysis\n\nVolatility determines position sizing and risk. Compute these metrics:\n\n- **Historical Volatility**: Annualized standard deviation of log returns over the last 20 periods. Formula: `sqrt(variance_of_log_returns * 365) * 100`. See `references\u002Findicators.md` for full detail.\n- **ATR (Average True Range)**: Smoothed average of true range over 14 periods. True Range = max(high-low, |high-prevClose|, |low-prevClose|).\n- **ATR%**: ATR \u002F Price * 100. Normalizes ATR for cross-asset comparison.\n- **Bollinger Band Width**: (Upper - Lower) \u002F Middle * 100. Measures relative volatility.\n\n### Volatility Regimes\n\n| Regime | Historical Volatility | Position Sizing Implication |\n|--------|----------------------|----------------------------|\n| Low | \u003C 30% | Can use larger positions (up to max) |\n| Moderate | 30% - 60% | Standard position sizing |\n| High | 60% - 100% | Reduce position size by 50% |\n| Extreme | > 100% | Reduce position size by 75% or avoid |\n\n## Exchange Comparison\n\nTo find the best execution price for a swap:\n\n1. Query multiple DEX aggregators for the same pair and amount (see `references\u002Fproviders.md` for API details):\n   - **Jupiter** for Solana tokens\n   - **1inch** for EVM tokens (Ethereum, BSC, Arbitrum, Base, Polygon)\n\n2. Compare quotes on: output amount, price impact, estimated gas, and route.\n\n3. Recommend the exchange with the best net output (output amount minus fees and gas).\n\n## Data Sources\n\nUse blockchain explorer MCPs (Alchemy, Etherscan) or market data APIs for live data. See `references\u002Fproviders.md` for supported providers, endpoints, and chain coverage.\n",{"name":5,"description":7},"main","60a187a694df4ce725464b7578e08ad46a73340f","lucid-trade\u002Fskill\u002Freferences\u002Fmarket-analysis","https:\u002F\u002Fgithub.com\u002Flucid-fdn\u002Flucid-plugins","https:\u002F\u002Fgithub.com\u002Flucid-fdn","2026-03-26 06:06:06",{"source":8,"skillName":5,"commands":40,"prompt":50,"zipAvailable":51},[41,44,47],{"tool":42,"command":43},"npx","npx skills add lucid-fdn\u002Flucid-plugins --skill market-analysis",{"tool":45,"command":46},"bunx","bunx skills add lucid-fdn\u002Flucid-plugins --skill market-analysis",{"tool":48,"command":49},"pnpm","pnpm dlx skills add lucid-fdn\u002Flucid-plugins --skill 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