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


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Description

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


Author: Sofien Kaabar
Publisher: O'Reilly Media
Published: 11/22/2022
Pages: 288
Binding Type: Paperback
Weight: 1.03lbs
Size: 9.19h x 7.00w x 0.61d
ISBN13: 9781098120474
ISBN10: 1098120477
BISAC Categories:
- Computers | Data Science | Machine Learning
- Business & Economics | Finance | General
- Computers | Interactive & Multimedia