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".

25 stars

Best use case

scanning-market-movers is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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".

Teams using scanning-market-movers should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/scanning-market-movers/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/jeremylongshore/claude-code-plugins-plus-skills/scanning-market-movers/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/scanning-market-movers/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How scanning-market-movers Compares

Feature / Agentscanning-market-moversStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

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