Tovrask is a Grand Falls-based online education platform built around one specific subject: how automated systems are reshaping portfolio management and financial decision-making.
View the learning programMost financial education covers broad territory. Tovrask was set up in 2018 to do the opposite — concentrate entirely on machine learning as it applies to investment automation. The curriculum addresses model selection, backtesting methodology, risk-adjusted signal generation, and the practical limits of algorithmic approaches in live markets.
Participants typically arrive with some background in either finance or programming — rarely both. The webinars are structured to build shared vocabulary first, then move into technical implementation. Sessions run live with Q&A built in, not appended as an afterthought. Recordings are available but the live format is where most of the practical discussion happens.
Each webinar follows a consistent format: framing the problem, walking through a working implementation, then opening the floor for specific questions. The goal is not inspiration — it is working knowledge that participants can apply.
Sessions run between 90 minutes and two hours. The first segment covers theory and context — why a particular method exists, what problem it was designed to solve, and where it tends to break down. The second segment moves into code or data, depending on the topic. Participants are encouraged to follow along in real time.
Questions are answered during the session, not collected for later. Instructors adjust the pace based on what the room needs.
Code samples, datasets, and reference documents are shared with registered participants after each session. No paywalls on follow-up materials.
Recordings remain available for a defined period. The platform does not replace live attendance with passive video — recordings supplement, not substitute.
