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Название: Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python (Second Early Release)
Автор: Sofien Kaabar
Издательство: O’Reilly Media, Inc.
Год: 2022-08-25
Страниц: 366
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 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 backtest the profitability of candlestick patterns. Pattern recognition and detection is a skill that is mastered by machines better than humans due to their objectivity and therefore, I have dedicated the first chapters of the book to creating the structure of a candlestick pattern recognition algorithm before moving to the later chapters which dig deep with patterns and strategies. This means that the first skill you will learn is how to automate the data import process in Python.
Автор: Sofien Kaabar
Издательство: O’Reilly Media, Inc.
Год: 2022-08-25
Страниц: 366
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 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 backtest the profitability of candlestick patterns. Pattern recognition and detection is a skill that is mastered by machines better than humans due to their objectivity and therefore, I have dedicated the first chapters of the book to creating the structure of a candlestick pattern recognition algorithm before moving to the later chapters which dig deep with patterns and strategies. This means that the first skill you will learn is how to automate the data import process in Python.