scanning-market-movers-ti

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".

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:

bash

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:

bash

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:

bash

# 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:

bash

# 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:

bash

# 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:

bash

# 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

text

================================================================================
  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)

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:

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:

yaml

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

conservative.yaml:

yaml

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

Use with:

bash

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

bash

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

Example 2: Volume Spike Hunt

bash

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

Example 3: DeFi Movers Export

bash

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

Example 4: High-Cap Gainers

bash

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:

bash

# 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