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Evm Bnb Band Trader
Skill by happyrstudent
skill-install — Terminal
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/happyrstudent/evm-bnb-band-traderOr
name: evm-bnb-band-trader description: Execute BNB Chain EVM swing trades after importing a private key: buy when trigger price exceeds market condition, then place 5% take-profit and 3% stop-loss management. Use when user asks to automate BNB band/swing trading with strict TP/SL and wallet-key based execution.
EVM BNB Band Trader
Implement BNB Chain swing trading with strict risk controls.
1) Configure secrets and params
Set environment variables before running:
EVM_PRIVATE_KEY(wallet private key, never hardcode)BNB_RPC_URL(BSC RPC endpoint)TOKEN_IN(default WBNB)TOKEN_OUT(target token)BUY_TRIGGER_PRICE(trigger buy threshold)BUY_SIZE_BNB(position size in BNB)TAKE_PROFIT_PCT(default0.05)STOP_LOSS_PCT(default0.03)POLL_SECONDS(default10)
2) Run bot
Use script:
python scripts/bnb_band_bot.py --mode run
Dry run first:
python scripts/bnb_band_bot.py --mode dry-run
3) Strategy rules (fixed)
- Entry: execute buy when latest price >=
BUY_TRIGGER_PRICE - Exit TP: sell when price >= entry_price * 1.05
- Exit SL: sell when price <= entry_price * 0.97
- One-position mode: no pyramiding
4) Safety controls
- Refuse run if env vars missing
- Refuse run if private key format invalid
- Refuse run if gas or balance insufficient
- Log every decision with timestamp
5) Notes
- Script uses DEX quote+swap placeholder flow; wire production router/aggregator before real funds.
- Always run dry-run first and validate slippage/gas assumptions.
Metadata
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Paste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-happyrstudent-evm-bnb-band-trader": {
"enabled": true,
"auto_update": true
}
}
}Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.