# RNN 2nd Gen Model General Electric Company Electronic, electrical equipment & components, except computer equipment

General Electric is a high-tech industrial company that operates worldwide through its four industrial segments, Power, Renewable Energy, Aviation and Healthcare, and its financial services segment, Capital. The Power segment offers services energy production services. The Renewable Energy segment provides wind turbine platforms, hardware and software, offshore wind turbines, products and services to hydropower industry, blades for wind turbines, and high voltage equipment. The Aviation segment provides jet engines and turboprops for commercial airframes, maintenance, component repair, and overhaul services. The Healthcare segment provides healthcare technologies in medical imaging, digital solutions, drug discovery, biopharmaceutical manufacturing technologies and performance enhancement solutions. The Capital segment leases and finances aircraft, aircraft engines and helicopters, and provides financial solutions. GE is headquartered in Boston, MA.

Industry sector: Multi-Sector Conglomerates

Sector classification: Electronic, electrical equipment & components, except computer equipment

Deep Learning based analysis and prediction model for General Electric Company (GE) stock is a 2nd Generation Non-linear Autoregressive (NAR) model based on the LSTM/GRU Recurrent Neural Network architecture.

Model is in the production pipeline since Sept. 10, 2014.

Market data for GE model training are being downloaded from the Quandl premium datasets on a daily basis.
Risks related to the novel coronavirus disease 2019 (COVID-19) caused by the virus named “SARS-CoV-2” are accounted for in this model in the form of the historical data coincided with outbreaks and other global events in the past used to train ML prediction model for GE.

Model is being retrained on a regular basis.