The objective of this study is to reach an appropriate model to predict the stock close price of One-Step for Telecom Egypt (ETEL).
Stock Close Price
( open , Close , High , Low Prices, Volume,and Change)
Long Short Term Memory (LSTM) network.
Stock Close Price
(MACD Indicator, Momentum, Rate of change (ROC), Relative strength Indicator (RSI), STOCHASTIC Indicator, Bollinger Bands Indicator, Simple Moving Average for 30 days, Simple Moving Average for 10 days, Exponential Moving Average for 30 days, Exponential Moving Average for 10 days, Average Price, Median Price, and Typical Price)
Applying Lasso Regression to select the significant Indicators. Long Short Term Memory (LSTM) network for making prediction.
Stock Close Price
Predicated value from the first model, Predicated value from the Second model,and Actual value for stock close Price
Ridge Regression