"QuantDesk team on Alpaca AI Trading Agents Hackathon Hackathon"

Team Idea

We’re building QuantDesk, a research-driven AI/quantitative paper-trading platform designed to turn validated market research into risk-controlled trading decisions. The system separates research from execution: Python handles market research, feature engineering, backtesting, model validation and AI/MCP tooling, while a C#/.NET execution layer controls broker interaction, reconciliation, risk checks and paper orders. The platform is being designed for equities and crypto, with strict safeguards around autonomous trading. We’re looking for teammates interested in quantitative finance, machine learning, trading strategies, market data, backend engineering, data engineering, AI agents, frontend/product design or financial risk systems. If you want to help build and test a serious end-to-end AI trading platform rather than just a trading demo, join us.

Team Members

rakau keoraptswe lucas kgoatlha

keoraptswe12

Submission

QuantDesk: Safe AI Trading Infrastructure

QuantDesk is a safety-first AI quantitative trading system that separates model research from execution, validates strategies before use, and routes paper trades through deterministic risk, broker-reconciliation, and audit controls.