Mastering financial pattern recognition: finding and back-testing candlestick patterns...

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Описание

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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