public async Task GetName_ValidSymbol_ReturnsName()
{
var name = await _downloadService.GetName(_stock);
Assert.IsFalse(string.IsNullOrEmpty(name));
StringAssert.StartsWith("Cap", name);
}
public async Task FullTest(int numberOfHiddenLayers, int numberOfNeurons)
{
_stock.Name = await _downloadService.GetName(_stock);
_stock.HistoricalData = await _downloadService.GetHistoricalData(_stock, _startDate, refresh : true);
_trainingSession =
new TrainingSession(_portfolio, _stock)
{
NumberAnns = 5000,
NumberHiddenLayers = numberOfHiddenLayers,
NumberNeuronsPerHiddenLayer = numberOfNeurons,
TrainSamplePercentage = 0.55
};
var timer = new Stopwatch();
timer.Start();
_trainingSession.PropertyChanged += (sender, args) =>
{
if (args.PropertyName == "BestProfitLossCalculator" && timer.ElapsedMilliseconds > 7000)
{
Trace.Write($"\n{_trainingSession.AllNetworksPLsStdDevs.Count:N0}");
Trace.Write($" -> PL: {_trainingSession.BestProfitLossCalculator.PL:C2}");
Trace.Write($" ({_trainingSession.BestProfitLossCalculator.PLPercentage:P2})");
Trace.Write($" | median: {_trainingSession.AllNetworksPL:C2}");
Trace.Write($" | acc: {_trainingSession.BestProfitLossCalculator.PercentageWinningTransactions:P2}");
Trace.Write($" | study1: {_trainingSession.BestPrediction.BuyLevel}");
Trace.Write($" | study2: {_trainingSession.BestPrediction.SellLevel}");
timer.Restart();
}
};
_trainingSession.FindBestAnn(new CancellationToken(), new NeuralStockSettings());
Console.Write("PL: {0:C2}", _trainingSession.BestProfitLossCalculator.PL);
Console.Write(" ({0:P2})", _trainingSession.BestProfitLossCalculator.PLPercentage);
Console.Write(" | median: {0:C2}", _trainingSession.AllNetworksPL);
Console.Write(" | acc: {0:P2}", _trainingSession.BestProfitLossCalculator.PercentageWinningTransactions);
Assert.Pass();
}
