VeltrixaOrg

VeltrixaOrg / Hyperliquid-Arbitrage-Bot

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arbitrage bot hyperliquid trade
19
0
69% credibility
Found Apr 09, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A TypeScript bot for simulating or executing AI-guided cryptocurrency trades on Hyperliquid or other exchanges with backtesting support.

How It Works

1
🔍 Discover the trading buddy

You find this friendly tool online that watches crypto prices and uses smart hints to decide when to buy, sell, or hold.

2
💻 Set it up at home

You bring the tool to your computer and prepare it with simple everyday steps so it's ready to go.

3
⚙️ Share your trading wishes

You pick how much pretend money to start with, which crypto coin to focus on, and how bold to be with each trade.

4
Choose your adventure
🧪
Practice first

Test everything with fake money to see how trades play out without any real risk.

📈
Go live carefully

Connect to a crypto exchange but start with pretend orders to feel safe before real ones.

5
🤖 See it spring to life

The tool scans prices, makes quick decisions on buy or sell with confidence levels, and logs every move for you.

6
📊 Review your progress

Check easy reports showing your balance changes, trade history, and overall wins or lessons.

🎉 Trade like a pro

Your trading buddy runs smoothly, helping you learn and experiment with crypto moves safely and smartly.

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Star Growth

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AI-Generated Review

What is Hyperliquid-Arbitrage-Bot?

This GitHub Hyperliquid trading bot is a TypeScript arbitrage bot that automates buy/sell decisions on Hyperliquid perps using simple AI signals from rules or OpenAI, paired with a simulated exchange for safe testing or live CCXT integration. It handles Hyperliquid funding rate arbitrage and supports connectors for Binance, Bybit, and OKX to enable cross-exchange plays like Hyperliquid Binance arbitrage. Setup is npm install, tweak config.yaml for symbols like BTC-USD, risk levels, and dry-run mode, then run simulations or backtests from CSV data producing HTML/PDF reports.

Why is it gaining traction?

It stands out with built-in dry-run paper trading and backtesting to validate strategies without risk, plus easy OpenAI hooks for AI-driven signals beyond basic rules. Developers dig the CCXT wrappers for Hyperliquid GitHub API access in Node.js/TypeScript, mirroring a Python original for quick ports, and CLI examples for tickers or historical runs. The YAML config keeps it flexible for funding arbitrage or copy trading experiments without deep coding.

Who should use this?

Quant traders scripting Hyperliquid bots for funding rate arbitrage or cross-exchange arb with Binance/OKX. Devs building Hyperliquid stats dashboards or indexers who need a CCXT SDK starter in TypeScript. Crypto hobbyists backtesting AI signals on perps before live deployment.

Verdict

Grab it if you're prototyping Hyperliquid arbitrage bots in TypeScript—solid docs, safety features, and examples make it a practical base despite 19 stars and 0.7% credibility score signaling early maturity. Fork and harden for production; skip if you need battle-tested reliability out of the box.

(198 words)

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