How To Compute Pivot Points Using Fortran?

7 minutes read

To compute pivot points using Fortran, you can follow these steps:

  1. Define the variables needed for the calculation, such as the previous day's high, low, and close prices.
  2. Write a subroutine or function to calculate the pivot point, which is the average of the previous day's high, low, and close prices.
  3. Calculate the support and resistance levels using the pivot point. The support levels can be calculated by subtracting a percentage of the previous day's range from the pivot point, while the resistance levels can be calculated by adding a percentage of the range to the pivot point.
  4. Print or store the pivot point, support, and resistance levels for further analysis or decision-making.


By following these steps and writing the appropriate Fortran code, you can easily compute pivot points for any financial instrument or market.

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What is the formula for calculating pivot points in Fortran?

Here's a generic formula for calculating pivot points in Fortran:

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program CalculatePivotPoints
    implicit none
    
    real :: pivot, high, low, close
    integer :: resistance1, resistance2, support1, support2
    
    ! Input values for high, low, and close
    high = 100.0
    low = 90.0
    close = 95.0
    
    ! Calculate pivot point
    pivot = (high + low + close) / 3.0
    
    ! Calculate first level of resistance and support
    resistance1 = 2.0 * pivot - low
    support1 = 2.0 * pivot - high
    
    ! Calculate second level of resistance and support
    resistance2 = pivot + (high - low)
    support2 = pivot - (high - low)
    
    print *, "Pivot Point: ", pivot
    print *, "Resistance 1: ", resistance1
    print *, "Support 1: ", support1
    print *, "Resistance 2: ", resistance2
    print *, "Support 2: ", support2
    
end program CalculatePivotPoints


This program calculates the pivot point, two levels of resistance, and two levels of support based on the high, low, and close prices of a stock or financial instrument. You can adjust the input values for high, low, and close as needed to calculate pivot points for different data sets.


How to visualize pivot points in Fortran results?

One way to visualize pivot points in Fortran results is to create a scatter plot or a line plot showing the location of the pivot points on the graph.


Here is an example code snippet in Fortran that demonstrates how to create a simple scatter plot to visualize pivot points in your results:

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program visualize_pivot_points
  implicit none
  integer :: n = 10
  real :: x(n), y(n)
  integer :: pivot_points(n)
  integer :: i

  ! Initialize data
  do i = 1, n
     x(i) = i
     y(i) = sin(real(i))
     pivot_points(i) = 0
  end do

  ! Set pivot points
  pivot_points(3) = 1
  pivot_points(6) = 1

  ! Generate scatter plot
  open(1, file='pivot_points_plot.dat', status='replace')
  do i = 1, n
     if (pivot_points(i) == 1) then
        write(1, '(2f12.6)') x(i), y(i)
     end if
  end do
  close(1)

end program visualize_pivot_points


In this code snippet, we first initialize some sample data (x and y coordinates) and an array pivot_points that indicates the location of the pivot points. We then set some pivot points in the data.


We then generate a scatter plot by writing the x and y coordinates of the pivot points to a file (pivot_points_plot.dat in this case). You can then use a plotting tool (e.g., Gnuplot, Matplotlib) to visualize the pivot points by reading the data from the file and plotting the points on a graph.


How to combine pivot points with other technical indicators in Fortran?

In order to combine pivot points with other technical indicators in Fortran, you will need to write a program that includes the calculations for both the pivot points and the other technical indicators you wish to use. Here is a basic example of how you can combine pivot points with another indicator, such as the moving average:

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program combine_indicators
   real :: pivot_point, moving_average
   integer :: pivot_value, moving_average_value

   ! calculate pivot point
   pivot_point = (high + low + close) / 3

   ! calculate moving average
   moving_average = sum(close) / size(close)

   ! determine pivot point value
   if close > pivot_point then
       pivot_value = 1
   else
       pivot_value = -1
   end if

   ! determine moving average value
   if close > moving_average then
       moving_average_value = 1
   else
       moving_average_value = -1
   end if

   ! display results
   print *, "Pivot Point: ", pivot_point
   print *, "Moving Average: ", moving_average
   print *, "Pivot Value: ", pivot_value
   print *, "Moving Average Value: ", moving_average_value

end program combine_indicators


In this example, we calculate the pivot point and moving average values based on the high, low, and close prices of a stock. We then determine the values of each indicator based on whether the close price is above or below the calculated values. You can modify this code to include additional technical indicators or customize the calculations based on your specific requirements.


What is the role of pivot points in algorithmic trading with Fortran?

Pivot points are commonly used in algorithmic trading with Fortran as a technical analysis tool to determine potential support and resistance levels in the market. These support and resistance levels are calculated based on the previous day's high, low, and closing prices.


Pivot points can be used to set entry and exit points for trades, as well as to gauge the overall market trend. Traders may use pivot points to place stop-loss orders, take-profit targets, and to identify potential areas for trend reversals.


In algorithmic trading with Fortran, pivot points can be programmed into the trading strategy to automatically calculate and display these key levels on price charts. Traders can then use this information to make informed decisions about when to enter or exit trades.


Overall, pivot points play a key role in algorithmic trading with Fortran by providing traders with valuable technical analysis information that can help guide their trading decisions.

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