In my opinion, linear regression algorithm is the best option in such projects. I have successfully used this model to develop stock market and sales prediction ML systems.
In my opinion, linear regression algorithm is the best option in such projects. I have successfully used this model to develop stock market and sales prediction ML systems.
In my view, you can search the newest approach on Financial Forecasting. But based on my experience, neural networks can capture the chaotic process successfully, Some traditional methods like , ARIMA, TDNN, MLP can give reasonable answers. However, there are variety of papers that proved that a hybrid neuro-fuzzy method like LoLiMoT or ANFIS gives you better answers. However, In case you have enough dataset ( a really huge one ), the Deep Learning methods , Specially LSTM and fast RCNN can give you perfect results.
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