#7676th of 80 in Agent platformsFor finance and business, trading, stocks and crypto, finance and accounting

hyper-alpha-arena

LLM-driven crypto perpetual trading on Hyperliquid and Binance Futures

Stars
1.2k
License
Apache-2.0
Last commit
Nov 2026
Language
Python
Stars, last 29 weeks+262
21 Apr 2026: 936 stars28 Apr 2026: 946 stars5 May 2026: 963 stars12 May 2026: 975 stars19 May 2026: 995 stars26 May 2026: 1,007 stars2 Jun 2026: 1,017 stars9 Jun 2026: 1,029 stars16 Jun 2026: 1,038 stars23 Jun 2026: 1,046 stars30 Jun 2026: 1,065 stars7 Jul 2026: 1,078 stars14 Jul 2026: 1,089 stars21 Jul 2026: 1,091 stars28 Jul 2026: 1,101 stars4 Aug 2026: 1,109 stars11 Aug 2026: 1,112 stars18 Aug 2026: 1,120 stars25 Aug 2026: 1,135 stars1 Sept 2026: 1,143 stars8 Sept 2026: 1,148 stars15 Sept 2026: 1,156 stars22 Sept 2026: 1,163 stars29 Sept 2026: 1,167 stars6 Oct 2026: 1,175 stars13 Oct 2026: 1,180 stars20 Oct 2026: 1,182 stars27 Oct 2026: 1,190 stars3 Nov 2026: 1,195 stars10 Nov 2026: 1,198 stars

936 on 21 Apr 20261,198 on 10 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

Runs LLM-based traders that place perpetual futures orders on Hyperliquid (testnet and mainnet) and Binance Futures. It includes 86 built-in quant factors with IC/ICIR scoring, a custom expression engine, market-flow signal triggers (order flow, open interest, funding rate), and a Python Program Trader with backtesting. Helper agents assist with configuration, and Hyper AI is also reachable via Telegram and Discord.

Who it is for: Crypto perpetual traders and quant researchers self-hosting AI trading bots

Strengths

  • Hyperliquid testnet allows paper trading before committing real funds
  • Two modes: natural-language AI Trader and Python Program Trader with backtesting
  • 86 built-in factors plus a 69-function custom expression engine
  • Works with any OpenAI-compatible endpoint, including Deepseek, GPT and Claude

Weaknesses

  • Hosted login service is shut down; auth code still depends on it
  • Self-hosted multi-user access needs your own identity and authorization work
  • No per-user data isolation; README advises localhost or a private network only
  • No tagged releases; updates come from git pull on main

What it needs

  • no GPU
  • Docker + Compose
  • Needs Docker, PostgreSQL, Hyperliquid or Binance Futures account, OpenAI-compatible LLM API
  • Models: Deepseek, OpenAI GPT-5/o1/GPT-4o, Claude via compatible endpoints, Any OpenAI-compatible API
  • port 8802

Quick answers

Is hyper-alpha-arena open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Can you run hyper-alpha-arena with Docker?

Yes. Its repository has a Docker setup: a Dockerfile, a Compose file or a published image.

Does hyper-alpha-arena need a GPU?

No, it runs without one.

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