This video introduces a Kalman filter trading system that implements mean reversion strategies, explaining the Ornstein-Uhlenbeck stochastic process as the theoretical foundation for mean reversion, while addressing the practical challenge of non-stationarity in financial markets where no long-term mean exists, and demonstrating how Kalman filters can help solve this problem for live market trading.
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Trading Mean Reversion with Kalman Filters #shortsAdded:
I find often times we will explore a variety of different strategies and models, but very rarely do we actually discuss the implications in our decision-making in the live markets. And that's exactly the goal of this series and exactly what you see here in front of me. This is a Kalman filter trading system that aims to implement this mean reversion trading strategy in practice. What we're going to do today is talk about theoretically what mean reversion should look like.
We're going to start in the classroom.
We'll talk about the Ornstein-Uhlenbeck stochastic process, this idea of trading mean reversion, what it should look like for your equity curve, and then we will branch out to reality. We'll talk about non-stationarity, this idea that there is no long-term mean, and we'll talk about the implications of the Kalman filter to aid in solving this problem.
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