Name: Mastering Financial Pattern Recognition: Finding & Back-Testing Candlestick Patterns With Python (en Inglés)
Price: 74780.00 CLP
Availability: InStock
Author: Kaabar, Sofien
ISBN: 9781098120474

portada Mastering Financial Pattern Recognition: Finding & Back-Testing Candlestick Patterns With Python (en Inglés)

Formato

Libro Físico

Autor

Sofien Kaabar

Editorial

O'Reilly Media

Año

2023

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Blanda

Dimensiones

23.3 x 17.8 x 1.5 cm

Peso

0.47 kg.

ISBN13

9781098120474

N° edición

Categorías

Finanzas
Aplicaciones gráficas y multimedia
Machine learning: aprendizaje automático

Mastering Financial Pattern Recognition: Finding & Back-Testing Candlestick Patterns With Python (en Inglés)

Sofien Kaabar (Autor) · O'Reilly Media · Tapa Blanda

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Reseña del libro "Mastering Financial Pattern Recognition: Finding & Back-Testing Candlestick Patterns With Python (en Inglés)"

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