- Home
- Business & Economics
- Finance
- Evidence-Based Technical Analysis (Applying the Scientific Method and Statistical Inference to Trading Signals)
Evidence-Based Technical Analysis (Applying the Scientific Method and Statistical Inference to Trading Signals)
List Price:
$110.00
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
David Aronson
Format:
Hardcover
Pages:
544
Publisher:
Wiley (November 3, 2006)
Imprint:
Wiley
Language:
English
Audience:
General/trade
ISBN-13:
9780470008744
Weight:
26.4oz
Dimensions:
6.3" x 9.1" x 1.6"
File:
Wiley-wileyUS_2_1_20260915-20260915.xml
Folder:
Wiley
List Price:
$110.00
Country of Origin:
United States
Pub Discount:
50
Series:
Wiley Trading
Case Pack:
10
As low as:
$104.50
Publisher Identifier:
P-WIL
Discount Code:
D
Overview
Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.








