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--- name: crypto-trader-analyst-c7373496134c description: A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance. --- # 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_history.csv`.* ## Files structure - `scripts/market_data.py`: Fetches OHLCV and calculates indicators. - `scripts/sentiment_data.py`: Fetches news/forum data. - `scripts/logger.py`: Appends analysis to `logs/analysis_journal.md`. - `scripts/trade.py`: Executes trades and logs to `logs/trade_history.csv`. - `logs/`: Directory storing your analysis history and trade logs.--- name: crypto-trader-analyst-c7373496134c description: A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance. --- # 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_history.csv`.* ## Files structure - `scripts/market_data.py`: Fetches OHLCV and calculates indicators. - `scripts/sentiment_data.py`: Fetches news/forum data. - `scripts/logger.py`: Appends analysis to `logs/analysis_journal.md`. - `scripts/trade.py`: Executes trades and logs to `logs/trade_history.csv`. - `logs/`: Directory storing your analysis history and trade logs.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.