scanning-market-movers

Scanning Market Movers

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Install skill "scanning-market-movers" with this command: npx skills add aaaaqwq/claude-code-skills/aaaaqwq-claude-code-skills-scanning-market-movers

Scanning Market Movers

Overview

Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets. This skill identifies top gainers, losers, and volume spikes, ranking them by a composite significance score.

Key Features:

  • Scan 1,000+ cryptocurrencies for movers

  • Configurable thresholds (change %, volume spike, market cap)

  • Significance scoring for prioritization

  • Category filtering (DeFi, L2, NFT, etc.)

  • Multiple output formats (table, JSON, CSV)

Dependency: This skill uses tracking-crypto-prices from market-price-tracker plugin for price data infrastructure.

Prerequisites

Install required dependencies:

pip install requests pandas

Dependency Setup: Ensure market-price-tracker plugin is installed with tracking-crypto-prices skill configured.

Instructions

Step 1: Quick Market Scan

Run a default scan for top gainers and losers:

python {baseDir}/scripts/scanner.py

This returns the top 20 gainers and top 20 losers by 24h change with volume confirmation.

Step 2: Custom Thresholds

Scan with specific criteria:

Only show moves > 10% with volume spike > 3x

python {baseDir}/scripts/scanner.py --min-change 10 --volume-spike 3

Filter by market cap

python {baseDir}/scripts/scanner.py --min-cap 100000000 --max-cap 1000000000

Step 3: Category Filtering

Focus on specific sectors:

DeFi tokens only

python {baseDir}/scripts/scanner.py --category defi

Layer 2 tokens

python {baseDir}/scripts/scanner.py --category layer2

Available: defi, layer2, nft, gaming, meme

Step 4: Different Timeframes

Scan across timeframes:

1-hour movers

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

7-day movers

python {baseDir}/scripts/scanner.py --timeframe 7d

Step 5: Export Results

Save results for analysis:

JSON export

python {baseDir}/scripts/scanner.py --format json --output movers.json

CSV export

python {baseDir}/scripts/scanner.py --format csv --output movers.csv

Output

Default Table Output

================================================================================ MARKET MOVERS Updated: 2025-01-14 15:30:00

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

JSON Output (--format json)

{ "gainers": [ { "rank": 1, "symbol": "XYZ", "name": "Example Token", "price": 1.234, "change_24h": 45.67, "volume_ratio": 5.2, "market_cap": 123400000, "significance_score": 89.3, "category": "defi" } ], "losers": [...], "meta": { "scan_time": "2025-01-14T15:30:00Z", "thresholds": { "min_change": 5, "volume_spike": 2, "min_market_cap": 10000000 }, "total_scanned": 1000, "matches": 42 } }

Significance Score

The significance score (0-100) combines:

  • Change % (40%): Larger moves score higher

  • Volume Ratio (40%): Higher volume confirmation scores higher

  • Market Cap (20%): Larger caps score slightly higher

Higher scores indicate more significant, higher-conviction moves.

Configuration

Edit {baseDir}/config/settings.yaml :

Default Thresholds

thresholds: min_change: 5 # Minimum % change to include volume_spike: 2 # Minimum volume ratio (current/avg) min_market_cap: 10000000 # $10M minimum max_market_cap: null # No maximum by default

Scoring Weights

scoring: change_weight: 0.40 volume_weight: 0.40 cap_weight: 0.20

Display

display: top_n: 20 # Number of results per category sort_by: significance # significance, change, volume, market_cap

Categories (CoinGecko category IDs)

categories: defi: - decentralized-finance-defi - yield-farming layer2: - layer-2 - polygon-ecosystem - arbitrum-ecosystem nft: - non-fungible-tokens-nft gaming: - gaming meme: - meme-token

Named Presets

Create presets in {baseDir}/config/presets/ :

aggressive.yaml:

min_change: 3 volume_spike: 1.5 min_market_cap: 1000000 top_n: 50

conservative.yaml:

min_change: 10 volume_spike: 3 min_market_cap: 100000000 top_n: 10

Use with:

python {baseDir}/scripts/scanner.py --preset aggressive

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Common Errors

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

Examples

See {baseDir}/references/examples.md for detailed usage examples.

Example 1: Daily Scan

python {baseDir}/scripts/scanner.py --timeframe 24h --top 20

Example 2: Volume Spike Hunt

python {baseDir}/scripts/scanner.py --volume-spike 5 --min-volume 1000000

Example 3: DeFi Movers Export

python {baseDir}/scripts/scanner.py --category defi --format csv --output defi_movers.csv

Example 4: High-Cap Gainers

python {baseDir}/scripts/scanner.py --min-cap 1000000000 --gainers-only --top 10

Integration with Other Skills

This skill can be combined with other crypto skills:

With crypto-signal-generator:

Get movers, then generate signals for top gainers

python {baseDir}/scripts/scanner.py --format json |
python ../crypto-signal-generator/.../scanner.py --from-stdin

With arbitrage-opportunity-finder: Volume spikes often precede arbitrage opportunities. Use movers as input for arbitrage scanning.

Files

File Purpose

scripts/scanner.py

Main CLI entry point

scripts/analyzer.py

Core analysis logic

scripts/filters.py

Threshold filtering

scripts/scorers.py

Significance scoring

scripts/formatters.py

Output formatting

config/settings.yaml

User configuration

config/presets/

Named preset configurations

Resources

  • PRD.md - Product requirements

  • ARD.md - Architecture documentation

  • Depends on: tracking-crypto-prices skill

  • CoinGecko API documentation: https://www.coingecko.com/en/api

Source Transparency

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