Anastasios Vlachmpeis

I study Data Science and AI at Maastricht, and have a deep interest in machine learning and financial markets.

Degree
BSc Data Science & AI, year 2
Current Research
Recurrence quantification analysis
Recurrence plot of AAPL log returns. Dark blocks fill the calm stretches of 2019; a pale cross runs through March 2020.

AAPL from 2 Jan 2019 to 25 Jan 2021, computed in your browser. A cell is dark when the market state on its two dates was within ε of each other. Point at a cell or tap it to read both dates.

Record

Background

  • 2025 to 2028BSc Data Science & AI, Maastricht UniversityGPA 8.08 out of 10.
  • 2026 to nowPresident, MQRMaastricht Quantitative Research, a student society.
  • Sep 2025 to May 2026Apex Trader FundingPassed the $100k evaluation, then traded a funded futures account.
  • Before 2025Hotel operations, NaxosThree years at a five-star hotel before university. Overbooking is a forecasting problem where the loss function is standing at the front desk.

Competitions

  • Jun 2026EuroTech × HKTE Hackathon, Munich2nd in the Smart City track with Soteria.
  • Jun 2026Unaite Paris BuildsBuilt hedgY in 30 hours.
  • Apr 2026IMC Prosperity 411th in the Netherlands, 248th of about 19,000 teams.
  • Feb 2026Cursor AI Hackathon, Hamburg2nd with ParkinPal, plus best use of Manus.
  • Nov 2025Pioneers AI HackathonTop 10 finalist with Property Flow.
  • Sep 2025Amsterdam Policy HackathonTop 10 finalist.