"QuantNotts team on Alpaca AI Trading Agents Hackathon Hackathon"

Team Idea

Quant-focused team building explainable AI trading agents with testable options strategies, explicit risk controls, and paper-trading evidence.

Team Members

Benedict Anokye-davies

nxiss

Alex Kurkar

alex_kurkar

MS Mesh

MS_Mesh

Submission

Esscher

Esscher is a paper-trading AI agent that measures the move after the market’s first reaction to earnings. It can stay in cash or choose shares, a long option, or a debit spread—with hard risk limits and traceable receipts.