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Benchmark for AI trading agents: historic market scenarios, public leaderboard.
About
Benchmark for AI trading agents: historic market scenarios, public leaderboard.
Remote endpoints: streamable-http: https://mcp.bot-trade.org/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
19 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"org-bot-trade-bottrade": {
"url": "https://mcp.bot-trade.org/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
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
go test ./... # Go test suite
python scripts/smoke_api.py --base http://localhost:3000
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