Overview
- Skill Key
- dymx101/clap-trader
- Author
- dymx101
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/dymx101/clap-trader
- Latest Commit SHA
- 2c7993342df4f610bfd45686d5eed95286a91c6f
A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Crypto Trader & Analyst 技能。 若已安装,则直接安装 Crypto Trader & Analyst 技能。
# Crypto Trader & Analyst Skill This skill allows OpenClaw to analyze the crypto market using technical indicators and news sentiment, record its findings, and execute trades on Binance. ## Dependencies Ensure the following Python packages are installed: ```bash pip install ccxt pandas pandas-ta requests TextBlob ``` *Note: `TextBlob` is suggested for basic sentiment analysis if needed, though simple keyword matching might suffice.* ## Environment Variables You must set the following environment variables for trading: - `BINANCE_API_KEY`: Your Binance API Key. - `BINANCE_API_SECRET`: Your Binance API Secret. **WARNING**: Never share these keys or commit them to version control. ## Workflow ### 1. Market Analysis **Technical Analysis** Run the market data script to get current indicators for a symbol (default ETH/USDT). ```bash python skills/crypto_trader/scripts/market_data.py --symbol ETH/USDT ``` *Output: JSON containing RSI, MACD, close price, etc.* **Sentiment Analysis** Run the sentiment script to fetch latest news headers and forum buzz. ```bash python skills/crypto_trader/scripts/sentiment_data.py ``` *Output: Text/JSON summary of positive/negative news.* ### 2. Decision Making & Logging **Analyze & Record** Based on the outputs from step 1, form a hypothesis. Is the market Bullish, Bearish, or Neutral? Before trading, you **MUST** save your analysis. ```bash python skills/crypto_trader/scripts/logger.py "Your detailed analysis here. E.g., RSI is 30 (oversold) and news is positive. Planning to BUY." ``` ### 3. Execution **Trade** If the analysis supports a trade, execute it. ```bash # Buy 0.01 ETH at Market Price python skills/crypto_trader/scripts/trade.py --symbol ETH/USDT --side buy --amount 0.01 --type market # Dry Run (Test without real money) python skills/crypto_trader/scripts/trade.py --symbol ETH/USDT --side buy --amount 0.01 --dry-run ``` *The trade script will automatically append the transaction to `skills/crypto_trader/logs/trade_h...
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