Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
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.
skill openclawclawhub Free
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.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/binance-api.md, references/indicators.md, scripts/portfolio.py, scripts/setup.sh, scripts/trader.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- srikanthbellary
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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+
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
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
ParameterDefaultDescriptionPAIRSBTCUSDTComma-separated trading pairsSTRATEGYmomentummomentum, mean_reversion, or dcaTRADE_SIZE_PCT5% of portfolio per tradeMAX_POSITIONS5Max concurrent open positionsTAKE_PROFIT_PCT5Take profit %STOP_LOSS_PCT3Stop loss %DCA_INTERVALdailyFor DCA: hourly, daily, weeklyDCA_AMOUNT_USDT50USDT per DCA buyUSE_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
β οΈ Security Considerations
NEVER enable withdrawal on API keys β 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 β 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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs3 Scripts
- SKILL.md
- references/binance-api.md
- references/indicators.md
- scripts/portfolio.py
- scripts/setup.sh
- scripts/trader.py