SkillHub

binance-spot-trader

v1.0.0

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...

Sourced from ClawHub, Authored by srikanthbellary

Installation

Please help me install the skill `binance-spot-trader` from SkillHub official store. npx skills add srikanthbellary/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