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      Mastering Financial Pattern Recognition

      2 in stock

      Firm sale: non returnable item
      SKU 9781098120474 Categories ,
      Select Guide Rating
      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 an...

      £63.99

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      Description

      Product ID:9781098120474
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Mastering Financial Pattern Recognition
      Authors:Author: Sofien Kaabar
      Page Count:288
      Subjects:Investment and securities, Investment & securities, Mathematical and statistical software, Internet and digital media: arts and performance, Algorithms and data structures, Machine learning, Mathematical & statistical software, Graphical & digital media applications, Algorithms & data structures, Machine learning
      Description:Select Guide Rating
      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
      Imprint Name:O'Reilly Media
      Publisher Name:O'Reilly Media
      Country of Publication:GB
      Publishing Date:2022-11-22

      Additional information

      Weight514 g
      Dimensions177 × 233 × 20 mm