Skill: Crypto Data Analysis

Purpose

Execute standardized data analysis workflows on cryptocurrency market data. This skill provides structured procedures for analyzing price trends, volume patterns, and market indicators.

When to Use

•Analyzing historical price data for patterns
•Comparing multiple cryptocurrencies
•Generating statistical summaries
•Identifying market trends and anomalies
•Preparing data for trading decisions

Workflow

Step 1: Data Collection

typescript

import { analyzeMarketData } from './skills/data-analysis';

const analysis = await analyzeMarketData({
  symbols: ['BTC/USDT', 'ETH/USDT', 'SOL/USDT'],
  timeframe: '1d',
  period: 30 // days
});

Step 2: Pattern Recognition

The skill automatically identifies:

•Support and resistance levels
•Trend direction (bullish/bearish/sideways)
•Volatility patterns
•Volume anomalies

Step 3: Statistical Analysis

Generates comprehensive statistics including:

•Mean, median, standard deviation
•Sharpe ratio
•Maximum drawdown
•Correlation matrix

Step 4: Report Generation

Outputs a structured analysis report with:

•Executive summary
•Key findings
•Data visualizations (when available)
•Actionable recommendations

Configuration

Parameter	Type	Default	Description
symbols	string[]	Required	Trading pairs to analyze
timeframe	string	'1d'	Candle interval
period	number	30	Number of periods
includeCorrelation	boolean	true	Include correlation analysis
includeVolatility	boolean	true	Include volatility metrics

Output Format

typescript

interface AnalysisResult {
  summary: {
    totalSymbols: number;
    timeRange: { start: Date; end: Date };
    overallTrend: 'bullish' | 'bearish' | 'sideways';
  };
  symbols: {
    [symbol: string]: {
      currentPrice: number;
      priceChange: number;
      trend: string;
      support: number;
      resistance: number;
      volatility: number;
      volume24h: number;
      signals: string[];
    };
  };
  correlations: {
    [pair: string]: number;
  };
  recommendations: string[];
}

Best Practices

•Use consistent timeframes - Compare assets using the same timeframe for accurate analysis
•Consider market context - Factor in broader market conditions
•Verify with multiple indicators - Don't rely on a single metric
•Document assumptions - Note any special conditions during analysis

Example Usage

typescript

// Full analysis workflow
const result = await analyzeMarketData({
  symbols: ['BTC/USDT', 'ETH/USDT'],
  timeframe: '4h',
  period: 7
});

console.log('Market Trend:', result.summary.overallTrend);
console.log('BTC Support:', result.symbols['BTC/USDT'].support);
console.log('Correlation:', result.correlations['BTC-ETH']);

Related Skills

•auto-trade - Execute trades based on analysis
•portfolio-analysis - Analyze portfolio performance
•market-alerts - Set up price alerts