About Memkalurid — Crystal Beach, Ontario
Where quant
meets practice.
Memkalurid was built in 2024 to close the gap between academic machine learning research and practical quantitative trading. We teach methods that can be tested, not promised.
How the curriculum was constructed
Each module in the Memkalurid program is derived from a specific, documented failure mode in discretionary trading — pattern-chasing, overfitting, poor signal decomposition.
The course sequence follows the actual pipeline a practitioner would use: data sourcing, feature engineering, model selection, and live strategy evaluation.
- 01
Signal architecture
Students construct features from order flow, price action, and cross-asset data — not synthetic toy datasets.
- 02
Model validation under regime shifts
Walk-forward testing with realistic transaction cost models is introduced in module three, before any deployment discussion.
- 03
Portfolio-level risk framing
Strategy performance is always examined in the context of a broader portfolio, not as an isolated return stream.
Why Crystal Beach — not a metropolitan hub?
The program is fully virtual. Location is a deliberate choice: a focused environment produces sharper curriculum decisions than a busy institutional office would.
The people who built this
A small group with direct experience in systematic trading, academic research, and institutional risk — no generalists.
Oksana Veltri
Lead Quantitative Researcher
Oksana spent several years building factor models for a Toronto-based systematic fund before moving into curriculum design. Her work at Memkalurid centres on how machine learning models degrade under changing market microstructure.
Dariusz Kwapień
Risk and Execution Specialist
Dariusz brings direct experience from derivatives desk operations and algo execution. His modules on slippage, latency, and position sizing are grounded in what actually breaks strategies in production.
Frédéric Sainmont
Data Infrastructure Lead
Handles the platform's data pipeline design and student project environments.
Tarjei Bøhler
Academic Curriculum Adviser
Reviews module content for methodological rigour and pedagogical structure.