Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market - Brossura

Mather, Bob

Brossura

ISBN 10: 1922300055 ISBN 13: 9781922300058

Casa editrice: Bob Mather, 2019

Riassunto

 

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

Dettagli dell'edizione

• Editore: Bob Mather
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1922300055
• ISBN 13: 9781922300058
• Rilegatura: Copertina flessibile
• Numero di pagine: 90
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile