Effective Implementation of Neural Network Model with Tune Parameter for Stock Market Predictions

Machine learning techniques are preferred to make efficient accuracy prediction in stock marketing. Artificial Neural Network (ANN) is a familiar method that incorporates technical analysis for predicting in financial markets. The paper focuses on making predictions in stock market with NUMERAI stock values based on specific efficient parameters. By making use of NUMERAI index exchange rate value and in collaboration with generalized Neural Network Back propagation concept, an improved accuracy rate and less loss rate for NUMERAI stock market could be predicted.