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Mastering Financial Pattern Recognition (Paperback)
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Mastering Financial Pattern Recognition (Paperback)
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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 backtest 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 guide, 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 backtesting 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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