scanning-market-movers

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	1.27.0
author	Jeremy Longshore <[e-mail]>
license	MIT
tags	["crypto","scanning-market"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

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
================================================================================