Binance Spot Trader
v1.0.0Autonomous 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.
⭐ 9· 3.5k·11 current·12 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
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.
Instruction Scope
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).
Install Mechanism
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.
Credentials
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.
Persistence & Privilege
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.
Assessment
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 the bot sends recent price/volume data to Anthropic (costs and privacy) and will append trade activity to trades.jsonl on disk; (5) monitor rate limits and broker/account limits to avoid accidental rapid trading; (6) if you need higher assurance, run it in an isolated machine and/or audit the code for edge-case error handling and signature construction. If any of the above conditions are unacceptable (e.g., you cannot restrict API key withdrawals or cannot tolerate external LLM calls), do not install.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
EnvBINANCE_API_KEY, BINANCE_SECRET_KEY, LLM_API_KEY
Primary envBINANCE_API_KEY