![]() Stock Price Prediction using Machine Learning.Moreover, it is nearly impossible to anticipate a piece of news that will shatter or boost the stock market in the coming weeks – a pandemic or a war. This makes stock price prediction using machine learning challenging and unreliable to a certain extent. Only a few of the latter can be incorporated effectively into a mathematical model. ![]() Of course, fundamental factors such as a company’s intrinsic value, assets, quarterly performance, recent investments, and strategies all affect the traders’ trust in the company and thus the price of its stock. However, as expected, market change depends on many parameters of which only a bunch can be quantified, such as historical stock data, the volume of trade, current prices. For several decades researchers have toyed with time-series data to predict future values – of which the most challenging and potentially lucrative application is predicting the values of stocks for a given company. ![]() As any one of us could guess, the market is unstable and, more than often, unpredictable.
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