Crypto Market Analyzer

Fetch real-time crypto prices and calculate technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands, ATR) for BTC, ETH, SOL, BNB, XRP, DOGE. Powered by mu...

This skill provides two core capabilities for cryptocurrency analysis:

1. Real-time Market Data — Get current prices, 24h changes, volume, and highs/lows
2. Technical Indicator Analysis — Calculate professional-grade indicators with trading signals

Supported Coins

BTC, ETH, SOL, BNB, XRP, DOGE

Dependencies

The scripts require the requests Python library. Install it if not available:

pip install requests

Billing

This is a paid skill. Each invocation costs 0.001 USDT, charged via SkillPay. Pass the --user flag with the user's ID for billing. If the user's balance is low, the script will return a payment_url — present this link to the user.

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Command 1: Fetch Market Data

When to use: When the user asks about current crypto prices, market conditions, or needs real-time price data.

Get Current Prices

python scripts/fetch_market.py --user USER_ID --coins BTC,ETH,SOL

Parameters:

• --coins (required): Comma-separated coin symbols (e.g. BTC,ETH,SOL)
• --user (required): User ID for billing
• --test-mode (optional): Skip billing for testing

Output format (JSON):

{
  "status": "success",
  "data": {
    "BTC": {
      "price": 95432.10,
      "change_24h": 2.35,
      "high_24h": 96000.00,
      "low_24h": 93800.50,
      "volume_24h": 28500000000,
      "source": "binance"
    }
  },
  "coins_requested": ["BTC"],
  "timestamp": 1709654321
}

Get Historical Prices

python scripts/fetch_market.py --user USER_ID --coins BTC --historical --days 30

Additional parameters:

• --historical: Enable historical mode
• --days (default 30): Number of days of history

Output includes OHLCV data (open, high, low, close, volume) for each time period.

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Command 2: Technical Indicator Analysis

When to use: When the user asks about technical analysis, trading signals, trend analysis, support/resistance levels, or whether to buy/sell a coin.

python scripts/calc_indicators.py --user USER_ID --coin BTC --days 30

Parameters:

• --coin (required): Single coin symbol (e.g. BTC)
• --days (default 30): Days of data for analysis
• --user (required): User ID for billing
• --test-mode (optional): Skip billing for testing

Output format (JSON):

{
  "status": "success",
  "coin": "BTC",
  "current_price": 95432.10,
  "moving_averages": {
    "sma_7": 94800.50,
    "sma_14": 93200.30,
    "sma_30": 91500.00,
    "ema_12": 94600.80,
    "ema_26": 93100.20
  },
  "macd": {
    "macd_line": 1500.60,
    "signal_line": 1200.30,
    "histogram": 300.30
  },
  "rsi_14": 62.5,
  "bollinger_bands": {
    "upper": 97000.00,
    "middle": 93200.00,
    "lower": 89400.00,
    "bandwidth": 8.15,
    "position": 0.79
  },
  "atr_14": 1850.30,
  "momentum": {
    "change_7d_pct": 3.25,
    "change_30d_pct": 8.50
  },
  "volatility_pct": 2.15,
  "support_resistance": {
    "support": 89400.00,
    "resistance": 97000.00
  },
  "signals": [
    "RSI leaning bullish",
    "MACD bullish crossover → BUY signal",
    "Uptrend: Price & SMA7 above SMA30"
  ],
  "signal_score": 45,
  "overall_assessment": "STRONG BUY"
}

Interpreting the Output

When presenting results to the user, focus on these key elements:

For Market Data:

• Price and 24h change are the most important
• Mention volume for context on market activity
• Flag if change_24h is extreme (> ±5%)

For Technical Analysis:

• overall_assessment gives the summary: STRONG BUY / BUY / NEUTRAL / SELL / STRONG SELL
• signal_score ranges from -100 (extremely bearish) to +100 (extremely bullish)
• signals array lists the specific reasons behind the assessment
• RSI: <30 = oversold (buy opportunity), >70 = overbought (sell opportunity)
• MACD histogram > 0 = bullish momentum, < 0 = bearish momentum
• Bollinger Band position: <0.1 = near support, >0.9 = near resistance

Important Disclaimer:

Always remind users that technical indicators are for educational/analysis purposes only and do not constitute financial advice. Cryptocurrency markets are highly volatile.

Error Handling

If a script returns an error, check:

1. Payment error — Present the payment_url to the user to top up balance
2. Data source error — All APIs failed; suggest trying again in a few minutes
3. Invalid coin — List the supported coins: BTC, ETH, SOL, BNB, XRP, DOGE