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 trade on Binance, set up automated crypto trading, build a spot trading bot, or automate DCA buying. Features technical analysis, LLM sentiment evaluation, position sizing, and portfolio tracking.

Audits

Warn

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Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install binance-spot-trader

Binance 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.md for REST API docs
See references/indicators.md for technical analysis details