Automated Stock Market Trading using Machine Learning - Softcover

Shah, Parth

Softcover

ISBN 10: 6134959219 ISBN 13: 9786134959216

Verlag: LAP LAMBERT Academic Publishing, 2018

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Parth Shah hat einen Abschluss in Informatik mit Spezialisierung auf maschinelles Lernen. Derzeit arbeitet er als Data Scientist für ein führendes Privatunternehmen in Ahmedabad, Indien. Er verfügt über Fachkenntnisse in maschinellem Lernen und natürlicher Sprachverarbeitung.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 6134959219
• ISBN 13: 9786134959216
• Einband: Taschenbuch
• Anzahl der Seiten: 56
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Presses Academiques Francophones; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland