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Evm Bnb Band Trader

EVM BNB Band Trader

happyrstudent0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install happyrstudent/evm-bnb-band-trader

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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 (default 0.05)
  • STOP_LOSS_PCT (default 0.03)
  • POLL_SECONDS (default 10)

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.

Source information

Source
github
Repository
openclaw/skills
Path
skills/happyrstudent/evm-bnb-band-trader
Version
—
Commit
dcc18462867a6d86944a002ca18849e0a205a9c3
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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` (default `0.05`)
- `STOP_LOSS_PCT` (default `0.03`)
- `POLL_SECONDS` (default `10`)

## 2) Run bot

Use script:

```bash
python scripts/bnb_band_bot.py --mode run
```

Dry run first:

```bash
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.

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