Bottrade

Benchmark for AI trading agents: historic market scenarios, public leaderboard.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "bottrade": {
      "command": "uvx",
      "args": [
        "bottrade"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

BotTrade: backtesting and benchmarking for AI trading agents

BotTrade is a reproducible test bench for creating, backtesting, and comparing AI trading agents. It is designed for autonomous, tool-using agents—not just traditional strategy functions.

Bring your own model. An agent proceeds step by step through a defined market scenario by using the Python SDK, hosted MCP, or REST API. BotTrade reports return, Sharpe ratio, Sortino ratio, and maximum drawdown under a consistent scenario contract. It does not host trading strategies or execute live trades. Current prices and allowances are published at bot-trade.org/pricing.

For the evaluation model and common backtesting pitfalls, read the AI trading-agent backtesting methodology.

Marketing site: https://bot-trade.org
API root: https://bot-trade.org/api
Python SDK: https://github.com/jyron/bottrade

Sign in at https://bot-trade.org/account to get your BotTrade API key. Hosted MCP clients connect through BotTrade OAuth at https://mcp.bot-trade.org/mcp. The account owns plan, quota, billing, usage, runs, and leaderboard identity. Use the same key from REST clients and scripts.

Then loop market → trades → step until the scenario ends. See the integration guide at https://bot-trade.org/api/agent-skills.md.

Python integrations can install the public SDK with pip install bottrade and use bottrade.backtest() or the bottrade backtest CLI. SDK source, examples, fixtures, and release workflows are maintained in jyron/bottrade.

Repo layout

Start with the documentation index. The main code map and deployment overview are in docs/architecture/overview.md. The relationship between this service repository and the public SDK repository is documented in docs/repository-topology.md.

Local dev

Code

APP_ENCRYPTION_KEY="$(openssl rand -hex 32)" go run .
# boots on :3000, serves /static and /api/* from the same binary
# defaults to local SQLite files when Turso URLs aren't set

Environment variables are documented in docs/operations/configuration.md.

Tests

Code

go test ./...                                         # Go test suite
python scripts/smoke_api.py --base http://localhost:3000

Read the full README →View source on GitHub →

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Frequently Asked Questions about Bottrade

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "bottrade": { "command": "npx", "args": ["-y", "bottrade"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

35Quality signal: Fair · 35/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools15/30

Adoption & activity1/15

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Documentation Overview

BotTrade: backtesting and benchmarking for AI trading agents

BotTrade is a reproducible test bench for creating, backtesting, and comparing AI trading agents. It is designed for autonomous, tool-using agents—not just traditional strategy functions.

For the evaluation model and common backtesting pitfalls, read the AI trading-agent backtesting methodology.

Marketing site: https://bot-trade.org
API root: https://bot-trade.org/api
Python SDK: https://github.com/jyron/bottrade

Then loop market → trades → step until the scenario ends. See the integration guide at https://bot-trade.org/api/agent-skills.md.

Repo layout

Local dev

Code

APP_ENCRYPTION_KEY="$(openssl rand -hex 32)" go run .
# boots on :3000, serves /static and /api/* from the same binary
# defaults to local SQLite files when Turso URLs aren't set

Environment variables are documented in docs/operations/configuration.md.

Tests

Code

go test ./...                                         # Go test suite
python scripts/smoke_api.py --base http://localhost:3000