--- name: scanning-market-movers description: | Detect significant price movements and unusual volume across crypto markets. Calculates significance scores combining price change, volume ratio, and market cap. Use when tracking market movers, finding gainers/losers, or detecting volume spikes. Trigger with phrases like "scan market movers", "top gainers", "biggest losers", "volume spikes", "what's moving", "find pumps", or "market scan". allowed-tools: Read, Write, Edit, Grep, Glob, Bash(python:*) version: 2.0.0 author: Jeremy Longshore license: MIT compatible-with: claude-code, codex, openclaw tags: [crypto, scanning-market] --- # Scanning Market Movers ## Overview Real-time detection of significant price movements and unusual volume patterns across 1,000+ cryptocurrencies, ranked by composite significance score. ## Prerequisites 1. **Python 3.8+** installed 2. **Dependencies**: `pip install requests pandas` 3. **market-price-tracker** plugin installed with `tracking-crypto-prices` skill configured ## Instructions 1. **Run a default scan** for top gainers and losers (top 20 each by 24h change with volume confirmation): ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py ``` 2. **Set custom thresholds** for minimum change and volume spike: ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --min-change 10 --volume-spike 3 python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --min-cap 100000000 --max-cap 1000000000 # 100000000 = $100M min cap, 1000000000 = $1B max cap ``` 3. **Filter by category** (defi, layer2, nft, gaming, meme): ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --category defi ``` 4. **Scan different timeframes** (1h, 24h, 7d): ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --timeframe 1h ``` 5. **Export results** to JSON or CSV: ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --format json --output movers.json python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --format csv --output movers.csv ``` 6. **Use named presets** for predefined threshold sets: ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --preset aggressive ``` ## Output Default table shows top gainers and losers ranked by significance score (0-100), combining price change (40%), volume ratio (40%), and market cap (20%): ``` ================================================================================ MARKET MOVERS Updated: 2025-01-14 15:30:00 # 2025 timestamp ================================================================================ TOP GAINERS (24h) -------------------------------------------------------------------------------- Rank Symbol Price Change Vol Ratio Market Cap Score -------------------------------------------------------------------------------- 1 XYZ $1.234 +45.67% 5.2x $123.4M 89.3 2 ABC $0.567 +32.10% 3.8x $45.6M 76.5 3 DEF $2.890 +28.45% 2.9x $234.5M 71.2 -------------------------------------------------------------------------------- TOP LOSERS (24h) -------------------------------------------------------------------------------- Rank Symbol Price Change Vol Ratio Market Cap Score -------------------------------------------------------------------------------- 1 GHI $3.456 -28.90% 4.1x $89.1M 72.1 2 JKL $0.123 -22.34% 2.5x $12.3M 58.9 -------------------------------------------------------------------------------- Summary: 42 movers found | Scanned: 1000 assets # 1000 assets in scan universe ================================================================================ ``` ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | `Dependency not found` | tracking-crypto-prices unavailable | Install market-price-tracker plugin | | `No movers found` | Thresholds too strict | Relax thresholds with lower values | | `Rate limit exceeded` | Too many API calls | Wait or use cached data | | `Partial results` | Some assets unavailable | Normal, proceed with available data | See `${CLAUDE_SKILL_DIR}/references/errors.md` for comprehensive error handling. ## Examples Common scanning patterns for different market analysis scenarios: ```bash # Daily scan - top 20 gainers/losers python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --timeframe 24h --top 20 # Volume spike hunt (5x+ volume, $1M+ daily volume) python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --volume-spike 5 --min-volume 1000000 # 1000000 = $1M min volume # DeFi movers exported to CSV python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --category defi --format csv --output defi_movers.csv # High-cap gainers only (>$1B market cap) python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --min-cap 1000000000 --gainers-only --top 10 # 1000000000 = $1B cap ``` ## Resources - `${CLAUDE_SKILL_DIR}/references/implementation.md` - Configuration, presets, JSON format, scoring details - `${CLAUDE_SKILL_DIR}/references/errors.md` - Comprehensive error handling - `${CLAUDE_SKILL_DIR}/references/examples.md` - Detailed usage examples - Depends on: tracking-crypto-prices skill - CoinGecko API: https://www.coingecko.com/en/api