Scanning Market Movers

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".

gabrielmoreira Updated Sep 9, 2026 17 repo stars

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$ npx skillmds@latest add gabrielmoreira/scanning-market-movers

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Last audited Sep 24, 2026 · commit f95d73c

Permissions this skill uses

Executes scripts
The instructions run shell commands or bundled script files.
Makes network calls
The instructions fetch remote URLs or call external services.

License: MIT
Works with: Claude Code Claude.ai OpenAI Codex +

File contents

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

Python 3.8+ installed
Dependencies: pip install requests pandas
market-price-tracker plugin installed with tracking-crypto-prices skill configured

Instructions

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
```

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

Filter by category (defi, layer2, nft, gaming, meme):

python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --category defi

Scan different timeframes (1h, 24h, 7d):

python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --timeframe 1h

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

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

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:

# 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

---name: scanning-market-moversdescription: 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".license: MIT---# 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

gabrielmoreira/agent-skills-mirror/tree/main/mirrors/repos/jeremylongshore@tons-of-skills-marketplace/skills/.curated/scanning-market-movers commit f95d73c21f

Frequently asked questions

npx skillmds@latest add gabrielmoreira/scanning-market-movers