Stock market prediction is a complex task, but this study aimed to make it easier by using two different methods. First, they used a fuzzy Markov chain to calculate probabilities of stock value changes and predict future values. Then, they tried various parametric time series methods like GARCH to find the best model for prediction. The researchers applied these methods to the Tehran Stock Exchange Index and found the most accurate model with the lowest errors.