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Mastering Financial Pattern Recognition|Sofien Kaabar

Mastering Financial Pattern Recognition : Finding and Back-Testing Candlestick Patterns with Python

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Overview

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 patterns
  • Learn the market psychology behind them
  • Use a framework to learn how back-testing 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

Details

  • ISBN-13: 9781098120474
  • ISBN-10: 1098120477
  • Publisher: O'Reilly Media
  • Publish Date: November 2022
  • Dimensions: 9.19 x 7 x 0.61 inches
  • Shipping Weight: 1.03 pounds
  • Page Count: 288

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