Name: Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market (en Inglés)
Price: 30580.00 CLP
Availability: InStock
Author: Mather, Bob
ISBN: 9781922300058

portada Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market (en Inglés)

Formato

Libro Físico

Autor

Bob Mather

Editorial

Bob Mather

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

21.0 x 14.8 x 0.5 cm

Peso

0.12 kg.

ISBN13

9781922300058

Categorías

Finanzas
Teoría matemática de la computación
Machine learning: aprendizaje automático

Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market (en Inglés)

Bob Mather (Autor) · Bob Mather · Tapa Blanda

Libro Físico

$ 30.580

$ 50.970

Ahorras: $ 20.390

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market (en Inglés)"

Are you a machine learning enthusiast looking for a practical day to day application? Or are you just trying to incorporate machine learning software in your trading decisions?This book is your answer.While machine learning and finance have generally been seen as separate entities, this book looks at several applications of machine learning in the financial world. Whether it is predicting the best time to buy a stock in a day trading scenario, or to determine the long term value of a stock; financial ratios and common sense have always been used as reliable indicators. But how do these compare about advanced machine learning algorithms like clustering and regression? When would be the best time to use these? While machine learning and finance have generally been seen as separate entities, this book looks at several applications of machine learning in the financial world. Whether it is predicting the best time to buy a stock in a day trading scenario, or to determine the long term value of a stock; financial ratios and common sense have always been used as reliable indicators. But how do these compare about advanced machine learning algorithms like clustering and regression? When would be the best time to use these?What's Included In This Book: What is Financial Machine Learning Developing a Trading Strategy for Stocks Machine Learning to Determine Current Value of Stocks Optimal Time to Buy Stocks Machine Learning Algorithm to Predict When to Sell a Stock Determine Value of a Penny Stock Trading Automation Software Conclusion