Build this project in MATLAB.
- Collected data of tesla stock price listed on Nasdaq. The data contains over 10 years (2010 - 2020).
- Preprocessed data by handling missing values, null values and outliers in stock prices using InterQuartile Range method.
- Converted data into timeTable object for timeseries analysis and further steps.
- Divided data into 80/20 train/test ratio.
- Built an Arima (AutoRegressive Integrated Moving Average) and trained the model with train data.
- Estimated forecast prices based on the trained model with test data while also plotting the forecast prices against test data.
- The Evaluated model performance resulted with an accuracy about 80%.