View Stock Market Machine Learning PNG. How machine learning can influence the stock markets? What are the best ai companies to invest in?
Hence forecasting techniques like arima, sarima and prophet would not show good results for this. So this is a good starting point to use on our dataset for making predictions. Arima models take into account the past values to predict the future values.
If that’s the case, then stocks are priced accordingly, and would therefore move randomly.
The point is not to discourage you from building your next machine learning model, but to realistically set expectations and to encourage you to be in it for the long haul. Let me explain this with a simple example. Because stock prices follow a random walk, according to rwh, a stock’s price today is the best predictor for its price tomorrow. See full list on upgrad.com
