Indian stock market prediction using artificial neural networks on tick data

Indian stock market prediction using artificial neural networks on tick data

Abstract Introduction Nowadays, the most significant challenges in the stock market is to predict the stock prices. The stock price data represents a financial time series data which becomes more difficult to predict due to its characteristics and dynamic nature. Case description Support Vector Mach...

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Bibliographic Details
Main Authors: Dharmaraja Selvamuthu, Vineet Kumar, Abhishek Mishra
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Financial Innovation
Subjects:
Neural Networks
Indian Stock Market Prediction
Levenberg-Marquardt
Scale Conjugate Gradient
Bayesian Regularization
Tick by tick data
Online Access:http://link.springer.com/article/10.1186/s40854-019-0131-7

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http://link.springer.com/article/10.1186/s40854-019-0131-7

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