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-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

ParameterDefaultDescription
PAIRSBTCUSDTComma-separated trading pairs
STRATEGYmomentummomentum, mean_reversion, or dca
TRADE_SIZE_PCT5% of portfolio per trade
MAX_POSITIONS5Max concurrent open positions
TAKE_PROFIT_PCT5Take profit %
STOP_LOSS_PCT3Stop loss %
DCA_INTERVALdailyFor DCA: hourly, daily, weekly
DCA_AMOUNT_USDT50USDT per DCA buy
USE_LLMtrueEnable 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

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