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Mastering Financial Pattern Recognition
Mastering Financial Pattern Recognition
138,14 €
153,49 €
  • Mēs nosūtīsim 10-14 darba dienu laikā.
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…
138.14 2025-06-02 08:00:00
  • Autors: Sofien Kaabar
  • Izdevējs
  • ISBN-10 : 1098120477
  • ISBN-13 : 9781098120474
  • Formāts: 17.8 x 23.3 x 1.6 cm, minkšti viršeliai
  • Valoda: Anglų
  • Extra -10% atlaide, ievadot kodu: EXTRA7d.05:20:12

Mastering Financial Pattern Recognition + bezmaksas piegāde! | Bookbook.lv

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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 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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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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