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📦 Binance Spot Trader — 技能工具

v1.0.0

[自动翻译] Autonomous Binance spot trading bot with LLM-powered market analysis. Supports momentum trading, mean reversion, and DCA strategies on any Binance spo...

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by @srikanthbellary·MIT-0
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License
MIT-0
最后更新
2026/2/26
0
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OpenClaw
安全
high confidence
The skill's code, instructions, and required credentials are coherent with a Binance spot trading bot that uses an LLM for sentiment — there are no obvious unrelated permissions, unexpected installs, or hidden endpoints.
评估建议
This package appears to be what it says: an autonomous Binance spot trader that also calls an Anthropic LLM for sentiment. Before installing: (1) only use Binance API keys with trading enabled and withdrawals explicitly disabled; prefer a sub-account with limited funds; (2) secure the .env (chmod 600, limit server access) and IP-restrict the Binance key; (3) review and test the code locally in paper-trade mode or with tiny amounts first — the bot will place real market orders; (4) be aware that ...
详细分析 ▾
✓ 用途与能力
Name/description (Binance spot trading with LLM sentiment) match what the files and SKILL.md request and implement: the scripts call Binance REST endpoints and an Anthropic LLM. Required env vars (BINANCE_API_KEY, BINANCE_SECRET_KEY, LLM_API_KEY) are appropriate for the stated purpose.
ℹ 指令范围
SKILL.md instructs installing dependencies, creating a .env with API keys, and running trader.py (or via cron). The code reads those env vars, writes a local trades.jsonl log, and sends market context to api.anthropic.com — all consistent with the described behavior. Note: the skill persists trade logs and will transmit summary market data to Anthropic (privacy/cost implications).
✓ 安装机制
setup.sh uses pip to install httpx and python-dotenv — reasonable, minimal, and from standard packaging. No downloads from unknown hosts or archive extraction are present.
✓ 凭证需求
Only three env vars are required (Binance API key + secret, LLM API key), which are proportionate to a trading bot that places orders and calls an LLM. No unrelated credentials or broad system paths are requested.
✓ 持久化与权限
Skill is not force-included (always:false) and does not request elevated platform privileges. It writes local logs (trades.jsonl, trader.log if run via cron) and does not modify other skills or system-wide settings.
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/2/11

Initial release: autonomous Binance spot trading with momentum, mean reversion, and DCA strategies plus LLM sentiment analysis

● 无害

安装命令

点击复制
官方npx clawhub@latest install binance-spot-trader
镜像加速npx clawhub@latest install binance-spot-trader --registry https://cn.longxiaskill.com

技能文档

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=
BINANCE_SECRET_KEY=
LLM_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
数据来源：ClawHub ↗ · 中文优化：龙虾技能库