A Stock Analysis
A股实时行情与分时量能分析
A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install dymx101/clap-traderInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
This skill allows OpenClaw to analyze the crypto market using technical indicators and news sentiment, record its findings, and execute trades on Binance.
Ensure the following Python packages are installed:
pip install ccxt pandas pandas-ta requests TextBlob
Note: TextBlob is suggested for basic sentiment analysis if needed, though simple keyword matching might suffice.
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.
Technical Analysis Run the market data script to get current indicators for a symbol (default ETH/USDT).
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.
python skills/crypto_trader/scripts/sentiment_data.py
Output: Text/JSON summary of positive/negative news.
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.
python skills/crypto_trader/scripts/logger.py "Your detailed analysis here. E.g., RSI is 30 (oversold) and news is positive. Planning to BUY."
Trade If the analysis supports a trade, execute it.
# 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...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...
A股实时行情与分时量能分析
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