public void TestCSVLoader()
{
var loader = new CSVFinal();
loader.DateFormat = "yyyy.MM.dd hh:mm:ss";
var tickerAAPL = new TickerSymbol("AAPL", "NY");
var desc = new MarketDataDescription(tickerAAPL, MarketDataType.Close, true, true);
MarketMLDataSet marketData = new MarketMLDataSet(loader, 5, 1);
marketData.AddDescription(desc);
marketData.SequenceGrandularity = Util.Time.TimeUnit.Hours;
var begin = new DateTime(2006, 1, 1);
var end = new DateTime(2007, 7, 31);
loader.GetFile((AssemblyDirectory + "\\smallCSV.csv"));
marketData.Load(begin, end);
marketData.Generate();
// first test the points
IEnumerator<TemporalPoint> itr = marketData.Points.GetEnumerator();
itr.MoveNext();
TemporalPoint point = itr.Current;
Assert.AreEqual(0, point.Sequence);
Assert.AreEqual(1, point.Data.Length);
Assert.AreEqual(1.12884, point[0]);
Assert.AreEqual(5, marketData.Points.Count);
}
public static void Generate(string fileName)
{
FileInfo dataDir = new FileInfo(@Environment.CurrentDirectory);
IMarketLoader loader = new CSVFinal();
var market = new MarketMLDataSet(loader,CONFIG.INPUT_WINDOW, CONFIG.PREDICT_WINDOW);
// var desc = new MarketDataDescription(Config.TICKER, MarketDataType.Close, true, true);
var desc = new MarketDataDescription(CONFIG.TICKER, MarketDataType.Close, true, true);
market.AddDescription(desc);
string currentDirectory =@"c:\";
loader.GetFile(fileName);
var end = DateTime.Now; // end today
var begin = new DateTime(end.Ticks); // begin 30 days ago
// Gather training data for the last 2 years, stopping 60 days short of today.
// The 60 days will be used to evaluate prediction.
begin = begin.AddDays(-600);
end = begin.AddDays(200);
Console.WriteLine("You are loading date from:" + begin.ToShortDateString() + " To :" + end.ToShortDateString());
market.Load(begin, end);
market.Generate();
EncogUtility.SaveEGB(FileUtil.CombinePath(dataDir, CONFIG.SVMTRAINING_FILE), market);
// create a network
//BasicNetwork network = EncogUtility.SimpleFeedForward(
// market.InputSize,
// CONFIG.HIDDEN1_COUNT,
// CONFIG.HIDDEN2_COUNT,
// market.IdealSize,
// true);
SupportVectorMachine network = new SupportVectorMachine(CONFIG.INPUT_WINDOW, true);
TrainNetworks(network, market);
// save the network and the training
EncogDirectoryPersistence.SaveObject(FileUtil.CombinePath(dataDir,CONFIG.SVMTRAINING_FILE), network);
}
public static MarketMLDataSet GrabData(string newfileLoad)
{
IMarketLoader loader = new CSVFinal();
loader.GetFile(newfileLoad);
var result = new MarketMLDataSet(loader,
CONFIG.INPUT_WINDOW, CONFIG.PREDICT_WINDOW);
// var desc = new MarketDataDescription(Config.TICKER,
// MarketDataType.Close, true, true);
var desc = new MarketDataDescription(CONFIG.TICKER,
MarketDataType.Close, true, true);
result.AddDescription(desc);
var end = DateTime.Now; // end today
var begin = new DateTime(end.Ticks); // begin 30 days ago
begin = begin.AddDays(-950);
result.Load(begin, end);
result.Generate();
return result;
}
