Trading Bootcamp Platform!

Quantitative Trading Bootcamp teaches the fundamentals of quantitative trading: markets, order books, auctions, risk and sizing, adverse selection, arbitrage, and how quant trading firms make money. Our philosophy is that the best way to learn to trade is by trading. This repository contains the exchange we use to run a simulated economy and allow students to make and trade on markets.

Making bots

Read python-client/README.md.

Working locally on the exchange

Requirements

• Rust >= 1.8 for backend
• node 20 and pnpm for frontend
• uv for python client
• protobuf-compiler for schema updates

Setting up

Backend

• Place a .env file in backend/ and populate it. See backend/example.env for which keys are needed.
• Install sqlx-cli if you haven't already: cargo install sqlx-cli
• Run cd backend && sqlx db create && sqlx migrate run

Frontend

• Place a .env file in frontend/ and populate it. See frontend/example.env for which keys are needed.
• From the root directory, run pnpm i

Python client

• Place a .env file in python-client/ and populate it with the values copied to clipboard on the accounts page.
• Run cd python-client && uv sync

Running

• Run cd backend && cargo run to start the backend
• Run pnpm dev from the root directory to start the frontend
• Run cd python-client && uv run min_max_bot.py to run the example bot