scanning-market-movers
Scans cryptocurrency markets to identify significant gainers, losers, and volume anomalies using customizable criteria.
Install
mkdir -p .claude/skills/scanning-market-movers && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/9298" && unzip -o skill.zip -d .claude/skills/scanning-market-movers && rm skill.zipInstalls to .claude/skills/scanning-market-movers
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Detect significant price movements and unusual volume across cryptoKey capabilities
- →Scan crypto markets for gainers and losers
- →Calculate composite significance scores
- →Filter assets by category or market cap
- →Detect volume spikes
- →Export scan results to JSON or CSV
How it works
The skill runs a Python script that processes market data to calculate a significance score based on price change, volume ratio, and market cap.
Inputs & outputs
When to use scanning-market-movers
- →Scan for top market gainers and losers
- →Identify cryptocurrency volume spikes
- →Filter market data by category or cap
- →Track asset movement across timeframes
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
- Python 3.8+ installed
- Dependencies:
pip install requests pandas - market-price-tracker plugin installed with
tracking-crypto-pricesskill 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
Prerequisites
Limitations
- →Requires tracking-crypto-prices skill
- →Rate limits may occur with excessive API calls
How it compares
It uses a composite scoring algorithm to rank assets rather than simply sorting by raw percentage change.
Compared to similar skills
scanning-market-movers side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| scanning-market-movers (this skill) | 0 | 27d | Review | Intermediate |
| exploratory-data-analysis | 15 | 2mo | Review | Intermediate |
| model-compare | 7 | 7mo | Review | Advanced |
| astropy | 6 | 7mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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