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Price-Forecasting Models for Direxion Daily S&P500 Bull 3X Shares SPXL Stock

Om Price-Forecasting Models for Direxion Daily S&P500 Bull 3X Shares SPXL Stock

Suppose that you will trade SPXL Stock tomorrow. How will you trade the stock? Will you make an order at the open price, at the end price, or at some price based on your feelings?As a trait of Mr. Market, this book offers you a chance to buy low and sell high. It introduces eight new methods for buying, and the same number for selling SPXL Stock at predicted low/high prices in a day. These predicted prices are almost the same as the lowest and highest prices of the stock in many days among 2891 consecutive trading days of the stock that the author considered. All methods are explained in a very easy-to-understand way. The data from the 2891 consecutive trading days (from November 6, 2008 to May 1, 2020) are utilized. More than 35 figures and tables are given. The methods do not require any background on mathematics from readers. Furthermore, they are easy to use. Each of them takes you no more than 30 seconds for calculation to obtain a predicted price.

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  • Språk:
  • Engelska
  • ISBN:
  • 9798640350616
  • Format:
  • Häftad
  • Sidor:
  • 74
  • Utgiven:
  • 27. april 2020
  • Mått:
  • 152x229x5 mm.
  • Vikt:
  • 122 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 20. juni 2025

Beskrivning av Price-Forecasting Models for Direxion Daily S&P500 Bull 3X Shares SPXL Stock

Suppose that you will trade SPXL Stock tomorrow. How will you trade the stock? Will you make an order at the open price, at the end price, or at some price based on your feelings?As a trait of Mr. Market, this book offers you a chance to buy low and sell high. It introduces eight new methods for buying, and the same number for selling SPXL Stock at predicted low/high prices in a day. These predicted prices are almost the same as the lowest and highest prices of the stock in many days among 2891 consecutive trading days of the stock that the author considered. All methods are explained in a very easy-to-understand way. The data from the 2891 consecutive trading days (from November 6, 2008 to May 1, 2020) are utilized. More than 35 figures and tables are given. The methods do not require any background on mathematics from readers. Furthermore, they are easy to use. Each of them takes you no more than 30 seconds for calculation to obtain a predicted price.

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