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Crypto Trader & Analyst

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

dymx1010 source installs☆ 0 Repository stars

Installation

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-trader

Inspect 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.

View source ↗Guides

Skill 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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/dymx101/clap-trader
Version
—
Commit
2c7993342df4f610bfd45686d5eed95286a91c6f
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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