Machine Learning and Data Science For Financial Markets

**jockers** · 26.05.23, 21:50

Description:

Alıntı:

This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.

Category:Counting & Numeration, Mathematics

Kod:

https://rapidgator.net/file/2567b728b9f3f75f4732aaad33f1a2fd/Machine.Learning.and.Data.Sciences.for.Financial.Markets.rar

Kod:

https://nitroflare.com/view/74C6D58AC76BE82/Machine.Learning.and.Data.Sciences.for.Financial.Markets.rar

Konu Bilgileri
	Konu Başlığı Machine Learning and Data Science For Financial Markets	Konudaki Cevap Sayısı 0
	Şuan Bu Konuyu Görüntüleyenler	Görüntülenme Sayısı 21

Konuyu Toplam 1 Üye okuyor. (0 Kayıtlı üye ve 1 Misafir)