Binding: Paperback
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 backtest 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 guide 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 backtesting 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
Title: Mastering Financial Pattern Recognition
Author(s): Kaabar Sofien
Publisher: O'reilly Media
Barcode: 9781098120474
Pages: 288 Pages
Publication Date: 11/22/2022
Category: Machine Learning