Strategies, models and our take on markets

This is the first post on the Markov Capital blog. We've been working on our quantitative trading strategies for several years, and they're finally ready for the market. That felt worth writing about.

Markov Capital is a small team of quants, data scientists, and finance professionals based in Gothenburg. We build systematic trading strategies using probabilistic models and machine learning. The name comes from Andrey Markov, the mathematician behind Markov chains, a class of models central to our work.

This blog will cover what we actually work on: time series modeling, risk management, and how machine learning fits into systematic trading. Some posts will be technical. Others will be more reflective, what worked, what didn't, and what we'd do differently.

We'll also share our take on markets when we have something worth saying. Not commentary for its own sake, but when something connects directly to how we think about strategy.

Quantitative finance has a jargon problem. The concepts aren't always as opaque as they're made to look, and we'd rather write plainly. If you're an investor, a researcher, or just curious about how this stuff works in practice, we're writing for you too.