Binance Spot Trader
Autonomous Binance spot trading bot with LLM-powered market analysis. Supports momentum trading, mean reversion, and DCA strategies on any Binance spot pair. Use when user wants to…
srikanthbellary
@srikanthbellary
What This Skill Does
Autonomous Binance spot trading bot that executes momentum, mean reversion, or DCA strategies on any spot pair. Uses technical indicators and optional LLM sentiment analysis to generate and filter trade signals, with configurable position sizing and portfolio tracking.
Replaces manual crypto trading and basic bot scripts by combining technical analysis with AI-driven market sentiment to automate spot trading decisions.
When to Use It
- Set up automated momentum trading on BTCUSDT, ETHUSDT, or SOLUSDT
- Run a DCA strategy to accumulate a specific coin at regular intervals
- Apply mean reversion trades on range-bound crypto pairs
- Filter trade signals with LLM-based market sentiment analysis
- Monitor and manage multiple open positions with take-profit and stop-loss
- Backtest or paper trade a new strategy before deploying real funds
Install
$ openclaw skills install @srikanthbellary/binance-spot-traderBinance Spot Trader
Autonomous spot trading bot for Binance. Combines technical indicators with LLM-powered market sentiment analysis to execute trades on any Binance spot pair.
Prerequisites
- Binance account with API keys (spot trading enabled, withdrawal DISABLED)
- Anthropic API key (uses Haiku ~$0.001/eval)
- Python 3.10+
Setup
1. Install
bash {baseDir}/scripts/setup.sh
2. Configure
Create .env:
BINANCE_API_KEY=<your-api-key>
BINANCE_SECRET_KEY=<your-secret-key>
LLM_API_KEY=<anthropic-api-key>
PAIRS=BTCUSDT,ETHUSDT,SOLUSDT
STRATEGY=momentum
TRADE_SIZE_PCT=5
MAX_POSITIONS=5
3. Run
python3 {baseDir}/scripts/trader.py
Or via cron:
*/5 * * * * cd /opt/trader && python3 trader.py >> trader.log 2>&1
Strategies
Momentum (default)
- Buys when price crosses above 20-EMA with volume spike
- Sells when price crosses below 20-EMA or hits TP/SL
- Best for trending markets (BTC, ETH, SOL)
Mean Reversion
- Buys when RSI < 30 (oversold) and price near Bollinger Band lower
- Sells when RSI > 70 (overbought) or price near upper band
- Best for range-bound markets
DCA (Dollar Cost Average)
- Buys fixed amount at regular intervals regardless of price
- Configurable interval (hourly, daily, weekly)
- Lowest risk strategy for long-term accumulation
LLM-Enhanced (all strategies)
- Before each trade, asks Claude Haiku for market sentiment
- Evaluates: recent news, price action, volume patterns, market structure
- Can veto a trade signal if sentiment is strongly against
Trading Parameters
| Parameter | Default | Description |
|---|---|---|
PAIRS | BTCUSDT | Comma-separated trading pairs |
STRATEGY | momentum | momentum, mean_reversion, or dca |
TRADE_SIZE_PCT | 5 | % of portfolio per trade |
MAX_POSITIONS | 5 | Max concurrent open positions |
TAKE_PROFIT_PCT | 5 | Take profit % |
STOP_LOSS_PCT | 3 | Stop loss % |
DCA_INTERVAL | daily | For DCA: hourly, daily, weekly |
DCA_AMOUNT_USDT | 50 | USDT per DCA buy |
USE_LLM | true | Enable LLM sentiment filter |
Monitoring
# Check portfolio
python3 {baseDir}/scripts/portfolio.py
# View trade history
tail -50 trades.jsonl
# Check logs
tail -f trader.log
⚠️ Security Considerations
- NEVER enable withdrawal on API keys — trading only
- IP-restrict your API keys on Binance
- Use a sub-account with limited funds for bot trading
- Start with tiny amounts ($50-100) and paper trade first
- Monitor actively during first 24 hours
- Set up Binance email alerts for all trades
- API keys on disk — secure your server (SSH keys only, firewall, chmod 600)
References
- See
references/binance-api.mdfor REST API docs - See
references/indicators.mdfor technical analysis details
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