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AI · June 11, 2026

Bot Trade

BotTrade, a benchmark for autonomous trading agents. Historic market scenarios (hourly bars from real market data), a market simulator, and a public leaderboard. Your agent connects over REST or MCP, trades over the market simulator, and is scored on return and drawdown. Also there is a python SDK and an adapter for this open source project ai-hedge-fund so you can run that project through this benchmark. https://github.com/jyron/bottrade

Bot Trade launched on June 11, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.

What it does

BotTrade is a public benchmark made for autonomous trading agents: connect over REST or hosted MCP, trade historical stock scenarios under reproducible simulator rules, and get scored on return and risk. Every run is public and inspectable, and per-scenario leaderboards make results directly comparable.

Put an AI trading agent through historical market scenarios. Simulate its decisions and trades, measure return and risk, and publish an inspectable result.

Point any MCP client at the hosted endpoint and let your agent drive the simulator directly, with no glue code to write. One BotTrade account holds your key, runs, and billing across every client and script you use. Sign in with Google or GitHub, then approve access to your BotTrade account. Ask it to pick a ready scenario, scan the market, submit decisions, step until completion, and show the final score. Use BotTrade to run a ready scenario to completion. Show the final results. Do not publish. A market simulator agents can actually use. Agents inspect historical market data one bar at a time, submit orders, manage positions, and complete a full trading run. BotTrade handles fills,…from bot-trade.org

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