Mastering Financial Pattern Recognition Finding and Back-Testing Candlestick Patterns with Python

Free Download Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python by Sofien Kaabar
English | November 22nd, 2022 | ISBN: 1098120477 | 288 pages | True EPUB/pdf (Retail Copy) | 6.61 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.

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

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