The CU Quants Trading Terminal

High-performance cryptocurrency data collector for Kraken exchange. Streams real-time orderbook (25 levels) & trade data via WebSocket with automatic reconnection, organized CSV storage by market/date, and flexible YAML configuration. Built by CU Quants for traders & researchers.

Asynchronous Python library for Kraken's REST and WebSocket APIs, built for CU Quants. Supports secure trading, real-time data, and strategy integration. Lightweight, modular, and designed for internal Trading/Research team.

EigenPrep is CU Quants’ interview training platform. It delivers randomized challenges in probability, brainteasers, fast math, finance, and coding. Designed for repeated use with minimal question overlap, it sharpens core quantitative skills essential for competitive finance roles through rigorous, realistic practice sessions.

CUTE is a stock paper trading platform that allows users to simulate trading activities with fake money, leveraging APIs for purchase, sale, and dynamic fetching of stock data.