Description: NEWS FLASH... This book was just awarded "Book of the Year" by The Technical Analyst! In my decades of professional experience as a statistical consultant in the field of financial market trading, the single most important lesson that I’ve learned about trading is this: the quality of the indicators is vastly more important than the quality of the trading algorithm or predictive model. If you are sloppy about your indicator computation, no high-tech model or algorithm is going to bail you out. Garbage in, garbage out still rules. This book presents numerous traditional and modern indicators that have been shown to carry significant predictive information. But it will do far more than just that. In addition to a wealth of useful indicators, you will see the following issues discussed: -->There are simple tests that let you measure the potential information-carrying capacity of an indicator. If your proposed indicator fails this information-capacity test, you should consider revising it. This book describes simple transformations that raise the information-carrying capacity of your indicators and make them more useful for algorithmic trading. -->You will learn how to locate the regions in your indicator’s domain where maximum predictive power occurs so that you can focus on these important values. --> You will learn how to compute statistically sound probabilities to help you decide whether the performance of an indicator is legitimate or just the product of random good luck. --> Most traditional indicators examine one market at a time. But you will learn how examining pairs of markets, or even large collections of markets simultaneously, can provide valuable indicators that quantify complex inter-market relationships.--> Govinda Khalsa devised a powerful indicator called the Follow-Through Index which reveals how likely it is that an existing trend will continue. This indicator is extremely useful to trend-following traders, but due to its complexity it is not widely employed. This book presents its essential theory and implementation in C++. Product details Publisher : Independently published Language : English Paperback : 393 pages ISBN-10 : 1698339992 ISBN-13 : 978-1698339993 Item Weight : 1.55 pounds Dimensions : 7.44 x 0.89 x 9.69 inches SHIPPING Shipping All items fast! The majority of orders are shipped using USPS Priority Mail and UPS Ground if requested. There is an option at checkout to add a Signature of Delivery for extra security & peace of mind. This means you need to sign for your parcel. If you are not home, the courier will take it to your local post office for collection. We also offer expedited shipments upon request, we will quote the shipment and let you know of the estimated cost. If agreed we will process the order and add the shipping charge to your invoice. All items ordered by 3 PM EST will be shipped same day. 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Price: 52.95 USD
Location: Philadelphia, Pennsylvania
End Time: 2024-10-21T17:11:37.000Z
Shipping Cost: 5.99 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Original Language: English
Unit Quantity: 1
ISBN: 1698339992
Book Title: Statistically Sound Indicators for Financial Market Prediction : Algorithms in C++
Number of Pages: 393 Pages
Language: English
Publisher: Independently Published
Item Height: 0.9 in
Publication Year: 2019
Topic: Forecasting
Genre: Business & Economics
Item Weight: 30.8 Oz
Author: Timothy Masters
Item Length: 9.7 in
Item Width: 7.4 in
Format: Trade Paperback