metanode-trade

metanode-trade / asterdex-trading-bot

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aster aster-dex bot bun hyperliquid
85
95
69% credibility
Found May 30, 2026 at 85 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

The AsterDEX Trading Bot is an automated cryptocurrency trading tool that places and manages perpetual futures orders on exchanges like Aster, GRVT, and Hyperliquid. It offers three trading strategies: trend following (catches market direction), market making (earns from spreads), and offset maker (adapts to order book depth). Users connect their exchange account, select a strategy, and launch the bot to watch a real-time dashboard manage positions with stop-loss and trailing profit protection.

How It Works

1
💡 You discover an automated trading tool

You hear about a bot that can trade crypto for you while you sleep, supporting multiple exchanges like Aster, GRVT, and Hyperliquid.

2
📦 You download and install the project

You grab the project from the internet and run a simple setup script that prepares everything on your computer.

3
🔐 You connect your exchange account

You safely provide your trading account credentials so the bot can place orders on your behalf.

4
🎯 You pick your trading strategy

Choose from three battle-tested approaches: trend following for catching market moves, market making for earning spreads, or offset maker that adapts to market depth.

5
🚀 You launch the bot

With one command, your trading assistant starts running and connects to the exchange in real-time.

6
📊 You watch your dashboard come alive

A colorful terminal screen shows your positions, profits, open orders, and recent trades updating every moment.

🎉 Your trading bot is now working

The bot monitors markets, places orders, and manages your positions automatically while you watch the results unfold.

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Star Growth

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AI-Generated Review

What is asterdex-trading-bot?

Asterdex-trading-bot is a TypeScript-based perpetual futures trading bot that supports AsterDEX, GRVT, and Hyperliquid through a unified adapter layer. It ships with three ready-to-run strategies: a trend-following engine using Bollinger bandwidth gates, a pure market-making engine with refresh and chase logic, and an offset maker engine that adjusts quotes around mid-price based on depth imbalance. Users start the bot via `npm start -- --strategy trend` (or `maker` / `offset-maker`) with optional `--silent` mode for headless VPS deployment. The project provides an interactive terminal dashboard for real-time position tracking, PnL monitoring, and engine state visualization.

Why is it gaining traction?

The multi-exchange design is the primary draw—developers can switch between Aster, GRVT, and Hyperliquid by changing a single environment variable rather than rewriting integration code. The three distinct strategies address different market conditions, and having them all in one codebase simplifies backtesting and comparison. The inclusion of trailing stops, mark-price guards, and automatic order deduplication suggests the authors have encountered real operational issues. PM2 deployment scripts remove friction for production hosting, and the setup wizard handles credential collection on first run.

Who should use this?

This is for developers and traders comfortable with self-hosted infrastructure who want to run algorithmic perp strategies on AsterDEX specifically. Quant traders evaluating Aster as an alternative to larger venues will find the multi-exchange adapters useful for comparison. Developers building custom strategies will benefit from the clean separation between exchange logic, strategy engines, and order coordination. It is not suitable for non-technical traders or anyone seeking a managed, hosted solution.

Verdict

The bot implements solid trading logic with rate limiting, order deduplication, and risk guards that are easy to overlook when building from scratch. However, with only 85 stars and a 0.70% credibility score, the project is early-stage and lacks the community vetting that production trading software typically requires. Test coverage via Vitest is present, but documentation quality and long-term maintenance expectations remain unclear. Start with paper trading and minimal position sizes before committing capital.

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