84,89 €
Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
  • Sold out
Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
El. knyga:
84,89 €
The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The res…
0

Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies (e-book) (used book) | bookbook.eu

Reviews

(4.00 Goodreads rating)

Description

The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.

84,89 €
Log in and for this item
you will receive
0,85 Book Euros! ?

Electronic book:
Delivery after ordering is instant! Intended for reading only on a computer, tablet or other electronic device.

Lowest price in 30 days: 84,89 €

Lowest price recorded: Price has not changed


The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)