scanning-market-movers

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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".

Install

mkdir -p .claude/skills/scanning-market-movers && curl -L -o skill.zip "https://mcp.directory/api/skills/download/9298" && unzip -o skill.zip -d .claude/skills/scanning-market-movers && rm skill.zip

Installs to .claude/skills/scanning-market-movers

About this skill

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):

    python ${CLAUDE_SKILL_DIR}/scripts/scanner.py
    
  2. Set custom thresholds for minimum change and volume spike:

    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):

    python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --category defi
    
  4. Scan different timeframes (1h, 24h, 7d):

    python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --timeframe 1h
    
  5. Export results to JSON or CSV:

    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:

    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

ErrorCauseSolution
Dependency not foundtracking-crypto-prices unavailableInstall market-price-tracker plugin
No movers foundThresholds too strictRelax thresholds with lower values
Rate limit exceededToo many API callsWait or use cached data
Partial resultsSome assets unavailableNormal, proceed with available data

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

Common scanning patterns for different market analysis scenarios:

# 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

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