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T1  - A Reinforcement Learning Application for Portfolio Optimization in the Stock Market 
SN  -  /  
UR  - URN:NBN:fi:hulib-202006243438; http://hdl.handle.net/10138/316961 
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A1  - Huertas, Andres 
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PB  - Helsingin yliopisto 
Y1  - 2020 
LA  - eng 
AB  - Investment funds are continuously looking for new technologies and ideas to enhance their results. Lately, with the success observed in other fields, wealth managers are taking a closes look at machine learning methods. Even if the use of ML is not entirely new in finance, leveraging new techniques has proved to be challenging and few funds succeed in doing so. The present work explores de usage of reinforcement learning algorithms for portfolio management for the stock market. It is well known ... 
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KW  - reinforcement learning; machine learning; stock market; ppo; none; ei opintosuuntaa; no specialization; ingen studieinriktning; Datatieteen maisteriohjelma; Master's Programme in Data Science; Magisterprogrammet i data science 
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