How To Compute Volume analysis using Fortran?

@creola.ebert 

Volume analysis is a technique used in financial markets to study the trading activity of a particular asset or security. It involves analyzing the volume of trades that occur over a given period of time to gain insight into the current trend and future movements of the asset.

To compute volume analysis using Fortran, you can perform the following steps:

1. Load your historical trading data into a Fortran program. This data should include the price and volume of each trade that occurred over your chosen time period.
2. Calculate the cumulative volume for each trading session by summing the volume of all trades that occurred during that session.
3. Calculate the average volume for each trading session by dividing the cumulative volume by the number of trades that occurred during that session.
4. Calculate the volume-weighted average price (VWAP) for each trading session by multiplying the volume of each trade by its price, summing these values, and dividing by the total volume for that session.
5. Plot the cumulative volume, average volume, and VWAP for each trading session to visualize the volume analysis.

Here is a simple Fortran code snippet to calculate the cumulative volume for each trading session:

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program volume_analysis
    implicit none
    integer :: num_trades, i
    real :: price, volume, cumulative_volume

    ! Load historical trading data
    num_trades = 100
    do i = 1, num_trades
        ! Read price and volume data for each trade
        read(*,*) price, volume

        ! Calculate cumulative volume
        cumulative_volume = cumulative_volume + volume

        ! Print cumulative volume for each trading session
        write(*,*) 'Cumulative Volume for Trade ', i, ': ', cumulative_volume
    end do

end program volume_analysis

You can expand upon this code snippet to include calculations for average volume and VWAP as well. Additionally, you can further analyze the volume data by comparing it to price movements and other technical indicators to make informed trading decisions.