public static MonteCarloResult Calculate(int count, int length, float winProbability, float avgPcntWin, float avgPcntLoss)
{
MonteCarloResult result = new MonteCarloResult(count, length);
CalculateData(result.data, winProbability, avgPcntWin, avgPcntLoss);
CalculateSummary(result);
return(result);
}
private static void CalculateSummary(MonteCarloResult data)
{
int rowsCount = data.data.GetLength(0);
int rowLength = data.data.GetLength(1);
data.Wins = 0;
for (int i = 0; i < rowsCount; i++)
{
data.Wins += (data.data[i, rowLength - 1] > InitialValue) ? 1 : 0;
}
data.Losses = rowsCount - data.Wins;
data.WinsPcnt = (float)data.Wins / (float)rowsCount;
data.LossesPcnt = 1.0f - data.WinsPcnt;
}
