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Mastering Financial Pattern Recognition

Language EnglishEnglish
Book Paperback
Book Mastering Financial Pattern Recognition Sofien Kaabar
Libristo code: 39286975
Publishers O'Reilly Media, November 2022
Candlesticks have become a key component of platforms and charting programs for financial trading. W... Full description
? points 145 b
60.06 €
117.47  лв
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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 backtest 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 guide, 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 patterns Learn the market psychology behind them Use a framework to learn how backtesting trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability

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About the book

Full name Mastering Financial Pattern Recognition
Author Sofien Kaabar
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 288
EAN 9781098120474
ISBN 1098120477
Libristo code 39286975
Publishers O'Reilly Media
Weight 508
Dimensions 233 x 177 x 20

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Economics, Finance, Business & Management > Finance & accounting > Finance
Computing & Information Technology > Business applications > Mathematical & statistical software
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Graphical & digital media applications
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