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OpenClaw

Crypto Trader & Analyst

A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance.

dymx1010 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install dymx101/clap-trader

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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:

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).

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.

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.

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.

# 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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/dymx101/clap-trader
Version
—
Commit
2c7993342df4f610bfd45686d5eed95286a91c6f
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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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