crypto-market-analyzer
تایید شدهCryptocurrency 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.
نصب مهارت
مهارتها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناختهشده را اسکن میکند اما نمیتواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.
نصب سراسری (سطح کاربر):
npx skillhub install openclaw/skills/crypto-market-analyzerنصب در پروژه فعلی:
npx skillhub install openclaw/skills/crypto-market-analyzer --projectمسیر پیشنهادی: ~/.claude/skills/crypto-market-analyzer/
بررسی هوش مصنوعی
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.
محتوای SKILL.md
---
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.