crypto-market-analyzer
PassCryptocurrency 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.
Install Skill
Skills are third-party code from public GitHub repositories. SkillHub scans for known malicious patterns but cannot guarantee safety. Review the source code before installing.
Install globally (user-level):
npx skillhub install openclaw/skills/crypto-market-analyzerInstall in current project:
npx skillhub install openclaw/skills/crypto-market-analyzer --projectSuggested path: ~/.claude/skills/crypto-market-analyzer/
AI Review
Scored 59 — solid automation with a real 18KB Python script that fetches live data and calculates multiple technical indicators. Good description triggers. Limited to crypto BTC/ETH analysis which caps generality.
SKILL.md Content
---
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.
---
# 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.