Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Cryptocurrency market analysis for Bitcoin and Ethereum. Fetches 4h (24h) and 1d (30-day) data from Binance API, calculates technical indicators (RSI, SMAs, support/resistance), and provides bullish/bearish sentiment analysis with reasoning. Use when user asks for crypto market reports, BTC/ETH analysis, or daily market summaries.
Cryptocurrency market analysis for Bitcoin and Ethereum. Fetches 4h (24h) and 1d (30-day) data from Binance API, calculates technical indicators (RSI, SMAs, support/resistance), and provides bullish/bearish sentiment analysis with reasoning. Use when user asks for crypto market reports, BTC/ETH analysis, or daily market summaries.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill provides automated cryptocurrency market analysis for Bitcoin (BTC) and Ethereum (ETH).
Fetches market data from Binance public API (no authentication required) Analyzes 4-hour timeframe (last 24 hours) Analyzes daily timeframe (last 30 days) Calculates technical indicators: RSI (Relative Strength Index, 14-period) Simple Moving Averages (20-day and 50-day) Support and resistance levels Price change (24h and 7d) Provides sentiment analysis (Bullish/Bearish/Neutral) with confidence level Generates structured reports with reasoning
Run the analysis script: python3 scripts/fetch_crypto_data.py Output format (JSON): { "BTCUSDT": { "indicators": { "current_price": 43250.50, "sma_20": 42800.00, "sma_50": 41500.00, "rsi": 58.3, "support": 42000.00, "resistance": 44000.00, "price_change_24h": 2.5, "price_change_7d": 5.8 }, "sentiment": { "sentiment": "Bullish (çæ¶š)", "confidence": 0.75, "reasons": [ "RSI (58.3) shows bullish momentum", "Price above both SMAs (20d and 50d) - bullish trend", "Strong 24h gain (2.50%) - bullish" ] }, "timestamp": "2026-02-11T14:38:00" }, "ETHUSDT": { ... } }
This skill is designed for daily automated execution at 10:00 AM (UTC+8). To schedule via OpenClaw cron: # Create a cron job to run daily at 10:00 AM UTC+8 # This corresponds to 02:00 UTC The cron job should: Execute the analysis script Parse the JSON output Format a human-readable report Send the report to the user via messaging channel
API: Binance Public API Endpoint: /api/v3/klines Rate Limits: 1200 request weight per minute (well within limits) No Authentication Required: Public market data
4h: 6 candles (24 hours of data) 1d: 30 candles (30 days of data)
RSI: Momentum oscillator (0-100). <30 = oversold, >70 = overbought SMA 20/50: Trend indicators. Price > both SMAs = bullish Support/Resistance: Recent low/high averages Price Change: Percentage change over specified period
Sentiment is determined by combining multiple signals: RSI position (oversold/overbought/momentum) Price vs moving averages (trend direction) Recent price changes (momentum strength) Each signal contributes to a bullish/bearish score, which determines: Overall sentiment (Bullish/Bearish/Neutral) Confidence level (0.3 to 0.9) Detailed reasoning
To add more cryptocurrencies: Edit scripts/fetch_crypto_data.py and modify the symbols list: symbols = ["BTCUSDT", "ETHUSDT", "SOLUSDT", "ADAUSDT"] To add more indicators: Extend the calculate_technical_indicators() function with additional calculations (MACD, Bollinger Bands, etc.). To customize sentiment logic: Modify the analyze_sentiment() function to adjust weighting and thresholds.
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