TSForecasting

Forecasting Time Series Data

Procedures for running application:

1. retrieve an API key for alpha vantage from the following website: https://www.alphavantage.co
2. create a folder within the root directory called "miscellaneous" and create a text file called "api_keys.txt" within that directory.
3. Within the api_keys.txt file create a line like this: av:yourkeyhere
4. The entry point script of the project is initializer.py. This will pull the financial data of the specified ticker, run Dickey Fuller test, and produce all the visualizations.

TSPredictionARIMA - contains classes associated with Creation of ARIMA model. Also contains classes dealing with the assessment of the time series data. Specifically whether the data is stationary or not.

TSPredictionARIMA/Initializer.py - Runs several standard arima models with visualizations. Also creates a visualization of the time series dataset.