Mastering Financial Pattern Recognition

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

Mastering Financial Pattern Recognition features in the following genres: Mathematical and statistical software, Graphical and digital media applications, Algorithms and data structures, Machine learning

Mastering Financial Pattern Recognition is available in Paperback, Ebook

Mastering Financial Pattern Recognition was written by Sofien Kaabar and published by O'Reilly an imprint of O'Reilly Media

Mastering Financial Pattern Recognition has 288 pages

£57.59