Developing effective and performance based trading applications

Trading applications are developed for the organizations which deal with trade on daily basis. There are numerous features that all the effective trading applications must have. Some of these features are handling voluminous data update on routine basis, data security, customizability, robustness etc… Nowadays most of the effective trading applications are developed on the .Net platform in order to support the above features. There are certain very crucial features that professional trading applications must possess. Real time data updating is one such feature of the trading applications. 
//Some data object
public class Service : INotifyPropertyChanged
{
    //Some fields
    private double Cost;
    private TimeDate maturity;

    [DoubleFormat(Precision = 3, ShortForm = true, ShowZero = false)]
    public double Cost
    {
        get { return Cost; }
        set
        {
            Cost = value;
            if(PropertyChanged != null)
            {
                PropertyChanged(this, new PropertyChangedEventArgs("Cost"));
            }
        }
    }
    public TimeDate Maturity
    {
        get { return maturity; }
    }
    public event PropertyChangedEventHandler PropertyChanged;
}

//Add a data object to the grid to the trading applications.
Service Service = new Service();
Row row = grid.Rows.Add(Service);

//The grid will automatically sort, filter, group and highlight corresponding row in the trading applications!
//The Service is your business logic and may be placed in any assembly within the trading applications that doesn't need to have references to Dapfor assemblies!
Service.Cost = 123;

//The value in the "Cost" cell should equal to '123'.
Assert.AreEqual(row["Cost"].Value, 123);
The above code demonstrates the real time update feature of the trading applications. Most of the trading applications need to do regular real time data update from sources like stock markets. Thus the trading applications must be secured enough in order to enable voluminous update along with data security.

public void FilterUsing(Grid grid)
{
    //Initialize the grid
    grid.Headers.Add(new Header());
    grid.Headers[0].Add(new Column("Object Title"));
    grid.Headers[0].Add(new Column("Type"));
    grid.Headers[0].Add(new Column("Cost"));

    //Set filter
    grid.Filter = new CustomFilter();

    //Populate the grid
    Row row1 = grid.Rows.Add(new object[] { "Audi", Type.Black, 23000d});
    Assert.IsFalse(row1.Visible);

    Row row2 = grid.Rows.Add(new object[] { "HYUNDAI", Type.White, 35000d });
    Assert.IsTrue(row2.Visible);

    //Set a new Cost for "Audi"
    row1["Cost"].Value = 58000d;
    Assert.IsTrue(row1.Visible);
}

The above code demonstrates the real time data filtering feature of the trading applications. Most of the trading applications need to do regular the real time data filtering feature for the data received from various sources like stock markets. Thus the trading applications must be secured enough in order to enable the real time data filtering feature of the voluminous update along with interactive interface.

The trading applications also must be developed based on other features like hierarchical sorting and binding, thread safe nature, customizability of data handling etc…. Most of the trading applications in the modern day with the use of the .Net grid and MFC grid can incorporate all the above mentioned features. Thus the modern trading applications are effective.