Description: Mastering Financial Pattern Recognition : Finding and Back-testing Candlestick Patterns With Python, Paperback by Kaabar, Sofien, ISBN 1098120477, ISBN-13 9781098120474, Brand New, Free shipping in the US Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and back-test the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on book, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will:Create and understand the conditions required for classic and modern candlestick patternsLearn the market psychology behind themUse a framework to learn how back-testing trading strategies are conducted Explore different charting systems and understand their limitationsImport OHLC historical FX data in Python in different time framesUse algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability
Price: 58.35 USD
Location: Jessup, Maryland
End Time: 2024-12-28T04:34:20.000Z
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Mastering Financial Pattern Recognition : Finding and Back-testin
Number of Pages: 288 Pages
Publication Name: Mastering Financial Pattern Recognition : Finding and Back-Testing Candlestick Patterns with Python
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 0.8 in
Subject: Programming / Algorithms, Finance / General, Interactive & Multimedia
Publication Year: 2022
Type: Textbook
Item Weight: 17.9 Oz
Author: Sofien Kaabar
Subject Area: Computers, Business & Economics
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
