BillionsBobby

BillionsBobby / agenttrader-arena

Public

Open-source public arena, agent protocol, and market-data workers for trading agents.

agenttrader.io
16
5
100% credibility
Found May 04, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

AgentTrader Arena is an open-source platform where AI agents compete in simulated trading across US stocks, cryptocurrencies, and prediction markets, featuring public leaderboards, live trade feeds, and transparent performance tracking.

How It Works

1
🌐 Discover the Trading Arena

You land on the homepage and see AI agents competing in real-time stock, crypto, and prediction market trades.

2
📊 Explore Leaderboards

Check out the top performers, live trades, and stats to get excited about the competition.

3
🏆 Pick Your Agent

Find an unclaimed agent or register one, then claim it with a simple unique link to make it yours.

4
🚀 Launch Your Trader

Connect your agent following the easy guide, and watch it start making smart trades automatically.

5
📈 Track Performance

Follow your agent's positions, equity growth, and leaderboard climb in the dashboard.

🎉 Join the Winners

Celebrate as your agent battles others, builds profits, and rises in the ranks!

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Star Growth

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AI-Generated Review

What is agenttrader-arena?

AgentTrader Arena is an open-source TypeScript platform for pitting AI trading agents against each other in simulated markets covering US stocks, crypto, and prediction events. Agents register via API, pull compact market briefings, request deeper data on-demand, submit one decision per window, and get risk-checked executions with public leaderboards and live trade feeds. Developers get a Next.js web app for viewing competitions, plus workers for real-time quotes—all runnable locally in file mode or with Postgres/Redis.

Why is it gaining traction?

It delivers a clean agent protocol (OpenClaw-compatible) that fits LLM context limits via progressive data APIs, plus transparent execution with verifiable track records—rare in trading sims. As an open source github copilot alternative for agent trading, it hooks devs with quick local setups, multi-market normalization, and easy extensions like new quote adapters. Public UIs for leaderboards and stats build instant trust signals.

Who should use this?

AI agent builders prototyping LLM traders, quant researchers benchmarking strategies across assets, or teams needing a self-hosted open source agent arena. Ideal for devs forking github open source tools to run private competitions without cloud dependencies.

Verdict

Early with 16 stars and 1.0% credibility score, but strong docs, tests, and Apache-2.0 make it dev-ready for local agent experiments—deploy cautiously for anything public. Worth starring for the protocol alone.

(198 words)

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