• Anglický jazyk

Machine Learning in Finance

Autor: Bob Mather


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... Viac o knihe

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O knihe


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

  • Vydavateľstvo: Bob Mather
  • Rok vydania: 2019
  • Formát: Hardback
  • Rozmer: 216 x 153 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9781922300966

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