{
"item_title" : "Identifying Patterns in Financial Markets",
"item_author" : [" João Leitão", "Rui Ferreira Neves", "Nuno C. G. Horta "],
"item_description" : "This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA). The proposed approach was tested with real data from S&P500 index and all the results obtained outperform the Buy&Hold strategy. Three different case studies are presented by the authors.",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/970/159/3319701592_b.jpg",
"price_data" : {
"retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Identifying Patterns in Financial Markets : New Approach Combining Rules Between Pips and Sax
Overview
This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA). The proposed approach was tested with real data from S&P500 index and all the results obtained outperform the Buy&Hold strategy. Three different case studies are presented by the authors.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783319701592
- ISBN-10: 3319701592
- Publisher: Springer
- Publish Date: January 2018
- Dimensions: 9.21 x 6.14 x 0.18 inches
- Shipping Weight: 0.29 pounds
- Page Count: 66
Related Categories
