Compute Pivot Points In Fortran?

In Fortran, pivot points can be computed by using a simple mathematical formula. Pivot points are important in technical analysis of financial markets to determine potential support and resistance levels. To compute pivot points in Fortran, one must first calculate the average of the high, low, and close prices from the previous trading session. This average is then used to determine the pivot point for the current trading session. Additional support and resistance levels can also be calculated based on the pivot point. Fortran provides a robust language for performing these calculations efficiently and accurately.

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How to set stop-loss and take-profit levels using pivot points in Fortran?

Here is an example code in Fortran that demonstrates how to set stop-loss and take-profit levels using pivot points:

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program PivotPoints
  implicit none

  ! Declare variables
  real :: pivot, high, low, close
  real :: stop_loss, take_profit
  real, parameter :: pivot_multiplier = 0.382

  ! Input values for high, low, close
  print*, 'Enter high value:'
  read*, high
  print*, 'Enter low value:'
  read*, low
  print*, 'Enter close value:'
  read*, close

  ! Calculate pivot point
  pivot = (high + low + close) / 3.0

  ! Calculate stop-loss and take-profit levels
  stop_loss = pivot - pivot_multiplier * (high - low)
  take_profit = pivot + pivot_multiplier * (high - low)

  ! Display the results
  print*, 'Pivot point:', pivot
  print*, 'Stop-loss level:', stop_loss
  print*, 'Take-profit level:', take_profit

end program PivotPoints

In this code, we first input the high, low, and close values of a stock. We then calculate the pivot point using the formula (high + low + close) / 3.0. Next, we calculate the stop-loss level as the pivot point minus 38.2% of the high-low range, and the take-profit level as the pivot point plus 38.2% of the high-low range. Finally, we display the pivot point, stop-loss level, and take-profit level.

You can run this code in a Fortran compiler to set stop-loss and take-profit levels using pivot points.

How to create a visual representation of pivot point levels on a price chart in Fortran?

To create a visual representation of pivot point levels on a price chart in Fortran, you can use a graphical library such as PLplot or Dislin to plot the price chart and overlay the pivot point levels.

Here is a basic example of how to create a simple price chart with pivot point levels in Fortran using PLplot:

1. Initialize PLplot and set up the plotting environment:

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program plot_pivot_points
  use plplot
  implicit none
  integer :: i
  real :: x(10), y(10)
  
  call plinit()
  call plenv(1, 10, 0, 100, 0, 1)
  call pllab("X", "Y", "Simple Price Chart with Pivot Points")

1. Plot the price chart data points:

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  do i = 1, 10
    x(i) = i
    y(i) = 10*i
  end do
  
  call plcol0(1) ! set color to black
  call plline(10, x, y)

1. Overlay the pivot point levels on the price chart:

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  call plcol0(2) ! set color to red
  ! plot pivot point levels at y = 30, 60, and 90
  call plline(2, (/1, 10/), (/30, 30/))
  call plline(2, (/1, 10/), (/60, 60/))
  call plline(2, (/1, 10/), (/90, 90/))

1. Finalize the plot:

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  call plend()
end program plot_pivot_points

This code creates a simple price chart with pivot point levels at y = 30, 60, and 90. You can customize the pivot point levels and their positions based on your specific requirements. Additionally, you can add more data points to the price chart and customize the styling of the plot as needed.

How to interpret different pivot point levels in Fortran?

In Fortran, pivot points refer to specific points in a program or algorithm where a decision or transformation occurs. These pivot points can be used to indicate different levels or stages of a computation or process. Here is a general guide on how to interpret different pivot point levels in Fortran:

1. Initial pivot point level: This is the starting point of a program or algorithm where the initial input is processed and basic initialization steps are performed. It sets the stage for the subsequent computation.
2. Intermediate pivot point levels: These are points in the program where more complex calculations or transformations take place. Intermediate pivot points can represent specific stages of the computation where certain conditions are checked or intermediate results are computed.
3. Final pivot point level: This is the concluding point of the program or algorithm where the final output is generated and any necessary clean-up or finalization steps are performed. The final pivot point level marks the end of the computation.

Overall, interpreting different pivot point levels in Fortran involves understanding the flow of the program or algorithm and recognizing the key decision points or stages where significant actions are taken. By identifying and analyzing these pivot points, programmers can gain insights into the structure and logic of the code, as well as track the progression of the computation.

What is the best way to calculate pivot points for forex trading in Fortran?

There are several ways to calculate pivot points for forex trading in Fortran, but one common method is to use the following formula:

Pivot Point (PP) = (High + Low + Close) / 3 Support 1 (S1) = (2 * PP) - High Resistance 1 (R1) = (2 * PP) - Low Support 2 (S2) = PP - (High - Low) Resistance 2 (R2) = PP + (High - Low)

You can implement this formula in Fortran by writing a subroutine that takes the high, low, and close prices as inputs and calculates the pivot points. Here is an example code snippet in Fortran:

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subroutine calculate_pivot_points(high, low, close, pp, s1, r1, s2, r2)
    real :: high, low, close, pp, s1, r1, s2, r2
    
    pp = (high + low + close) / 3
    s1 = (2 * pp) - high
    r1 = (2 * pp) - low
    s2 = pp - (high - low)
    r2 = pp + (high - low)
    
end subroutine calculate_pivot_points

You can then call this subroutine in your Fortran program to calculate the pivot points for forex trading. Don't forget to replace the variables high, low, close, pp, s1, r1, s2, and r2 with the actual values from your forex trading data.