Stock symbol time series analysis and prediction with ARIMA model
This project examines the predictive capabilities of the ARIMA model for time series analysis. To explore the capabilities of the statsmodels library, the Python programming language will be used with jupyter notebook being the runtime environment. Along with the prediction analysis, there will be a demonstration of data retrieval using the yahoo web api, time series transformation, manual and automatic stationarity checks, benchmarking the model versus a naive benchmark, multiple days prediction and multiple symbol prediction mean error checks....