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Hyperliquid Grid Trading Bot

This is a full grid trading bot for Hyperliquid DEX, not just a code snippet. You get TypeScript and legacy Python implementations, YAML config files for strategy setup, and automated order placement with stop loss, take profit, and rebalancing logic. The repo includes testnet support and a set of learning examples if you want to understand WebSocket feeds or order placement before going live. Grid bots work best in ranging markets where you want to capture spreads repeatedly, though the auto-rebalancing tries to handle breakouts. The code is structured well enough to tweak parameters without rewriting core logic, but you still need to understand grid mechanics and risk management before deploying real capital.

skills.sh installs
184
GitHub stars
26
last updated
Jun 3, 2026

Install

$ npx -y skills add aradotso/trending-skills --skill hyperliquid-grid-trading-bot --agent claude-code

Installs into .claude/skills of the current project.

Files

Hyperliquid Grid Trading Bot

Skill by ara.so — Daily 2026 Skills collection.

A configurable grid strategy runner for Hyperliquid DEX. Places layered buy/sell orders around a price range with risk controls (stop loss, take profit, drawdown limits, rebalancing). Primary implementation is TypeScript/Node.js; a legacy Python tree exists for reference and learning examples.


Install

git clone https://github.com/PolyPulse-Analytics/hyperliquid-trading-bot.git
cd hyperliquid-trading-bot
npm install

Requirements: Node.js 20.19+, a Hyperliquid wallet private key, git.

Optional Python support: install uv for legacy src/ tree and learning_examples/.


Environment Setup

cp .env.example .env

Edit .env — minimum required fields:

# Testnet (recommended for development)
HYPERLIQUID_TESTNET_PRIVATE_KEY=0xyour_testnet_private_key_here
HYPERLIQUID_TESTNET=true

# Mainnet (real funds — use with caution)
# HYPERLIQUID_MAINNET_PRIVATE_KEY=0xyour_mainnet_private_key_here
# HYPERLIQUID_TESTNET=false

Sponsors

Details

Repository
github.com/aradotso/trending-skills
Category
Finance & Trading
First seen
Jun 3, 2026

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