internal double BetIt(Solution solution, double bankroll, double minPercentAdvantage, ref int numberOfBetsFound)
{
double totalWeight = 0;
foreach (var horse in _horse)
{
horse.AssignWeight(solution.Weights);
totalWeight += horse.Weight;
}
double bettingResult = 0.0;
foreach (var horse in _horse)
{
horse.ProbabilityToWin = horse.Weight/totalWeight;
if(horse.IsOverlayByThisMargin(minPercentAdvantage))
{
double amountToBet = bankroll*minPercentAdvantage;
amountToBet = 10;
bettingResult = horse.IsWinner ? amountToBet : (-1.0)*amountToBet;
if (horse.IsWinner)
{
++numberOfBetsFound;
}
break;
}
}
return bettingResult;
}
public BackTester(Solution s, double bankroll, int numberOfRaces, int minAdvantage)
{
_solution = s;
_bankroll = bankroll;
_numberOfRaces = numberOfRaces;
_minAdvantage = minAdvantage;
}
public void UpdatePartitions(Solution solution)
{
AssignProbabilities(solution);
_horse.ForEach(h =>
{
if (h.IsWinner)
solution.Partitions[h.Weight].IncreaseWinners();
else
solution.Partitions[h.Weight].IncreaseCount();
}
);
}
private Solution(Solution s1, Solution s2)
{
_weights = new List<double>();
int crossOverPoint = Randomizer.GetNextInteger(0, s1._weights.Count);
for (int i = 0; i < s1._weights.Count; ++i)
{
List<double> l = i <= crossOverPoint ? s1._weights : s2._weights;
_weights.Add(l[i]);
}
}
internal double CalculateReturn(Solution solution)
{
double bankroll = _horse.Count * (1.0);
double totalWeight = 0.0;
foreach (var horse in _horse)
{
horse.AssignWeight(solution.Weights);
totalWeight += horse.Weight;
}
foreach (var horse in _horse)
{
if (horse.IsWinner)
{
bankroll = totalWeight / horse.Weight - bankroll;
}
}
return bankroll;
}
private void AssignProbabilities(Solution solution)
{
_horse.ForEach(horse => horse.AssignWeight(solution.Weights));
double totalWeight = 0;
_horse.ForEach(horse => totalWeight += horse.Weight);
_horse.ForEach(horse=>horse.ProbabilityToWin = horse.Weight / totalWeight);
}
public BackTestForm(Solution s)
{
_solution = s;
InitializeComponent();
}
internal static Solution CrossOver(Solution s1, Solution s2)
{
return new Solution(s1,s2);
}
