Optiver's 2023 Ready Trader Go Competition Submission by Michael Glushchenko and Vasiliy Ostapenko as Team LiquidBears. Table of Contents Reasons to Participate. Rules of the Game. Our Strategy. Results. Logical Faults of the Plan. Bugs. Next Steps. Reasons to Participate Financial math and algorithmic trading are a big passion of mine, but I've never coded an autotrader before. This competition allowed me to understand how an autotrader might be implemented, as well as to test, first-hand, my understanding of market making and liquidity providing. Rules of the Game The rules of the game can be found on the Optiver website. How to run 1) Python how to run. 2) C++ how to run. Our Strategy Coming into this competition, Vasyl and I had no market making experience. After trying many different approaches, and rewriting the code numerous times, here's what we settled on: 1) We use the midpoint of the current orderbook as the "current theoretical price." Although using a weighted midpoint made sense at first, the large skew present in volumes of orders made it difficult to use appropriately

⚠ No verified equity curve — no track-record source connected.

No score history is stored yet — only the current score is shown.

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility not provided.

Data-completeness & trust index (not a profitability rating)