Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance.
A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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_history.csv.
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.
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