Automated Stock Market Trading using Machine Learning - Brossura

Shah, Parth

Brossura

ISBN 10: 6134959219 ISBN 13: 9786134959216

Casa editrice: LAP LAMBERT Academic Publishing, 2018

Riassunto

Stock market decision making is a very challenging and difficult task of financial data prediction. Prediction about the stock market with high accuracy movement yield profit for investors of the stocks. Because of the complexity of stock market financial data, development of effective models for prediction decision is very difficult, and it must be accurate. This study attempted to develop models for prediction of the stock market and to decide whether to buy/hold the stock using data mining and machine learning techniques. The machine learning technique like Naive Bayes, k-Nearest Neighbor(k-NN), Support Vector Machine(SVM), Artificial Neural Network(ANN)and Random Forest have been used for developing the prediction model. Technical indicators are calculated from the stock prices based on timeline data and it is used as inputs of the proposed prediction models. Ten years of stock market data have been used for signal prediction of stock. Based on the dataset, these models are capable to generate buy/hold signal for the stock market as an output.

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L'autore

Parth Shah completed graduate and postgraduate in computer science with a specialization in Machine Learning. Currently, he is working as a Data Scientist for leading private company in Ahmedabad, India. He has expertise in Machine Learning and Natural Language Processing.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 6134959219
• ISBN 13: 9786134959216
• Rilegatura: Copertina flessibile
• Numero di pagine: 56
• Contatto del produttore: non disponibile
• Persona responsabile: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania