(PDF) Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python Kindle
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
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
- No tags were found...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
(PDF) Mastering Financial Pattern Recognition: Finding and
Back-Testing Candlestick Patterns with Python Kindle
(PDF) Mastering Financial Pattern Recognition: Finding and Back-Testing
Candlestick Patterns with Python Kindle
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 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
Change language