
Автор: Sofien Kaabar
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 291
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 13.0 MB
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. Machines can perform pattern recognition and detection better than humans because of their objectivity. Therefore, I have dedicated the first chapters of the book to creating the structure of a candlestick pattern recognition algorithm before moving on to dig deep into patterns and strategies in the later chapters. This means that the first skill you will learn is how to automate the data import process in Python.