© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
P. LiuQuantitative Trading Strategies Using Pythonhttps://doi.org/10.1007/978-1-4842-9675-2_9

9. Optimizing Trading Strategies with Bayesian Optimization

Peng Liu1  
(1)
Singapore, Singapore
 

Financial trading employs numerous strategies in order to maximize returns. The effectiveness of these strategies can often hinge on the fine-tuning of the respective parameters, a task that can be both time-consuming and computationally expensive. Bayesian optimization comes into play as a highly efficient method for strategy optimization. It is a model-based optimization algorithm that uses the past evaluation results (in the form of a training set) to form a probabilistic ...

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