Algorithmic trading was formed in the 1970s – the rise of machine learning and artificial intelligence has accelerated its advance substantially. In this programme  

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Moreover, the use of machine methods is increasing rapidly in financial institutions for algorithmic trading, predicting customer behavior, compliance and risk. Machine learning combines the fields of engineering, statistics, mathematics and computing. This course will cover a wide range of machine learning methods, both model-based and

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The course includes hands-on projects on topics such as order book analysis, VWAP & TWAP, pairs trading, statistical arbitrage, and market impact functions. You 

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