القائمة
A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/johnalbertini14-glitch/openclaw-skills --skill crypto-trader-analystيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
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استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | Crypto Trader & Analyst |
| description | A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance. |
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.