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

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

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