Skip to content

IhebMarnaoui/PREDICTING-THE-STOCK-PRICE-OF-COMPANIES-USING-MACHINE-LEARNING-MODELS

Repository files navigation

PREDICTING-THE-STOCK-PRICE-OF-COMPANIES-USING-MACHINE-LEARNING-MODELS

ABSTRACT

The stock exchange is a financial market in which stocks and bonds of listed companies are traded. These companies are generally large firms that have real power over the national, and even international, economy. Having a glimpse into the future of the markets and capturing the stock market trend is therefore interesting, even fundamental, for certain trades such as traders who have to make decisions quickly and efficiently. The analysis of stock market activities and more particularly the prediction of stock prices is a problem that has attracted the interest of the scientific community, in which statistics, economics and data scientists have taken an interest. Predicting stock prices is a time series problem since past stock price values are numeric values that represent the change in the stock price over time. The dataset here, that we have obtained from Yahoo Finance, is a sample of the historical data of the stocks of some companies in which we use to predict the future values.

Keywords

Times Series · LSTM · Decision Tree Regressor · Regression

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published