This project attempts to use forecasting methods to predict the Apple stocks closing price in the future. This is more of a playground for practicing different methods to use for forecasting.

Currently there is a Jupyter notebook with notes and code which can be run.

The data comes from the IEX Trading site which gets realtime stock price data.

These are a list of current forecasting models used:

• Naive approach
• Simple Average
• Rolling Average
• Simple Exponential Smoothing
• Holts Trend
• Holts Winter Trend
• S-ARIMA (Seasonal - Autoregressive Integrated Moving Average)

• I still need to implement an ARIMA based model, but the data is required to be stationary by applying differencing techniques.
• Implement an Deep Recurrent Neural Network to predict prices.

If you have other forms of forecasting models that may help, it would be much appreciated, this is just a learning playground.