Algorithmic trading strategies with matlab examples
The traditional paradigm of applying nonlinear machine learning matlab to trading trading strategies typically suffers massive data snooping bias. On the other hand, linear techniques, inspired and constrained matlab in-depth with knowledge, have proven to be valuable. This presentation describes the application of the Kalman filter, a quintessentially trading technique, in two different ways to algorithmic trading.
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