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Scanning market movers

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/crypto/market-movers-scanner/skills/scanning-market-movers

'Detect significant price movements and unusual volume across crypto markets.From its SKILL.md

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill scanning-market-movers

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its file declares

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The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.3 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 11 files

84.7 KB alongside SKILL.md, 5 of them executable

config/

references/

scripts/

Keep looking

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