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I'm having a hypothetical situation where I have a set of ML-based alpha signals $\{\alpha_i\}_{i=1}^{N}$ that describe a different states of order book - imbalances, order flow, spread properties etc. I wonder, what is the correct approach to merge those signals with stochastic control approach to generate a decision-making process.

Most of the papers I saw about (for example this one) deal with alpha signals in context of stochastic processes. How does one proceed in the case where $\alpha$ is given by ML model and not a stochastic process?

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