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crypto-market-analyzer

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.

Quellinformationen

Repository
knownasnaffy/prompthound
Letzte Quellaktivität
6. Juli 2026 um 07:03
Erkannte Sprache von SKILL.md
Englisch
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0
Forks
1

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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
crypto-market-analyzer
description
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.
### Permission Setup Review `python scripts/_init_dirs.py` is an optional setup helper for the `Crypto Market Analyzer` skill. It may apply broad filesystem permissions for compatibility. Show the target paths and permission mode, explain the risk, and prefer a narrower mode when shared write access is not needed. # Crypto Market Analyzer This skill provides automated cryptocurrency market analysis for Bitcoin (BTC) and Ethereum (ETH). ## What It Does - 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 ## Usage ### Generate Market Report Run the analysis script: ```bash python3 scripts/fetch_crypto_data.py ``` Output format (JSON): ```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 (看涨)", "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": { ... } } ``` ### Generate Human-Readable Report To create a user-friendly report, use the JSON output and format it: ``` 📊 加密货币市场分析报告 生成时间: 2026-02-11 14:38 ## 比特币 (BTC) 💰 当前价格: $43,250.50 📈 24h涨跌: +2.5% 📊 7日涨跌: +5.8% ### 技术指标 - RSI (14): 58.3 - SMA 20: $42,800 - SMA 50: $41,500 - 支撑位: $42,000 - 阻力位: $44,000 ### 市场判断 🎯 趋势: 看涨 (Bullish) 📊 置信度: 75% 📝 分析理由: - RSI (58.3) 显示多头动能 - 价格位于20日和50日均线上方 - 上升趋势 - 24小时涨幅强劲 (2.50%) - 多头信号 ## 以太坊 (ETH) ... ``` ## Scheduled Execution This skill is designed for daily automated execution at 10:00 AM (UTC+8). To schedule via OpenClaw cron: ```bash # Create a cron job to run daily at 10:00 AM UTC+8 # This corresponds to 02:00 UTC ``` The cron job should: 1. Execute the analysis script 2. Parse the JSON output 3. Format a human-readable report 4. Send the report to the user via messaging channel ## Technical Details ### Data Source - **API**: Binance Public API - **Endpoint**: `/api/v3/klines` - **Rate Limits**: 1200 request weight per minute (well within limits) - **No Authentication Required**: Public market data ### Timeframes - **4h**: 6 candles (24 hours of data) - **1d**: 30 candles (30 days of data) ### Indicators Explained - **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 Logic Sentiment is determined by combining multiple signals: 1. RSI position (oversold/overbought/momentum) 2. Price vs moving averages (trend direction) 3. 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 ## Extending the Skill To add more cryptocurrencies: Edit `scripts/fetch_crypto_data.py` and modify the `symbols` list: ```python 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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