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Mastering Financial Pattern Recognition - by  Sofien Kaabar (Paperback) - 1 of 1

Mastering Financial Pattern Recognition - by Sofien Kaabar (Paperback)

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About this item

Highlights

  • Candlesticks have become a key component of platforms and charting programs for financial trading.
  • Author(s): Sofien Kaabar
  • 288 Pages
  • Computers + Internet, Data Science

Description



Book Synopsis



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
Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .61 Inches (D)
Weight: 1.03 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 288
Genre: Computers + Internet
Sub-Genre: Data Science
Publisher: O'Reilly Media
Theme: Machine Learning
Format: Paperback
Author: Sofien Kaabar
Language: English
Street Date: November 22, 2022
TCIN: 1008785163
UPC: 9781098120474
Item Number (DPCI): 247-29-5118
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.61 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.03 pounds
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