Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juli 2019
Genre:	Wirtschaft / Recht
	machine learning a probabilistic perspective / machine learning in finance / machine learning technology
ISBN:	9781922300058
EAN-Code:	9781922300058
Verlag:	Bob Mather
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 210 mm / B 148 mm / D 6 mm
Gewicht:	129 gr
Seiten:	90
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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