Neural Insights: Optimal Model Selection For Bitcoin And Indian Rupees Analysis

Authors

  • Dr. Vishweswarsastry V N
  • Dr. Guruprasad Desai
  • Dr. Santosh B.R
  • Dr. C G Manjunatha

Abstract

Cryptocurrencies are virtual underlying asset preferred by young people as their investment choices and entrepreneurs for getting funded for their projects. The aim is to analyse the Price action of BTC-INR for 2015-2022, to visualize the BTC-INR through neural network platform and to predict the BTC-INR price through ANN model. The methodology applied for the study is Exploratory and Experimental in nature and analytical tool applied for prediction is long short-term model of Artificial Neural networks, the outcome of the paper is the BTCINR Prediction Prices for 30 days and the accuracy of the selected model of ANN is 0.9433 and 0.8918 for training and testing the model.

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Published

2024-01-07

How to Cite

V N, D. V. ., Desai, D. G. ., B.R, D. S. ., & Manjunatha, D. C. G. . (2024). Neural Insights: Optimal Model Selection For Bitcoin And Indian Rupees Analysis. Migration Letters, 21(S2), 1532–1549. Retrieved from https://migrationletters.com/index.php/ml/article/view/7906

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Articles