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

General Electric Company operates as a technology and financial services company. Its segments include Energy Infrastructure, Aviation, Healthcare, Transportation, Home & Business Solutions and GE Capital. The company's Energy Infrastructure segment offers wind turbines; gas and steam turbines and generators. Its Aviation segment offers jet engines, turboprop and turbo shaft engines, aerospace systems and equipment. Its Healthcare segment provides medical imaging and information technologies, medical diagnostics, patient monitoring systems. Its Transportation segment provides drive technology solutions to various industries. Its Home and Business Solutions segment provides home appliances; lighting products, plant automation, hardware, software, and embedded computing systems. Its GE Capital segment offers commercial loans and leases, fleet management, financial programs, credit cards, personal loans and other financial services. General Electric Company is headquartered in Fairfield, Connecticut.

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.

Model is being retrained on a regular basis.