static void Main(string[] args)
{
// Read and process all the documents (read HTML, extract text/date, extract tickers)
string[] filePaths = Directory.GetFiles("dataFiles");
IList <Document> documents = new List <Document>();
foreach (var filepath in filePaths)
{
Document document = new Document(filepath);
document.Process();
if (document.Date != null && document.Tickers != null)
{
documents.Add(document);
}
}
// We'll only extract ticker data for the latest date
DateTime maxDate = documents.Max(document => document.Date);
Console.WriteLine("Will extract data from {0}-{1}-{2} to today", maxDate.Year, maxDate.Month, maxDate.Day);
// Get all tickers and add NASDAQ and S&P indexes for comparison
IEnumerable <string> tickers = documents.Select(document => document.Tickers).
SelectMany(allTickers => allTickers).Distinct().Concat(new string[] { "^GSPC", "^IXIC" });
Console.WriteLine("Getting data for {0} tickers", tickers.Count());
// Now get the ticker value from maxDate to today for every ticker
IDictionary <string, IList <Tuple <DateTime, double> > > allTickerData = new Dictionary <string, IList <Tuple <DateTime, double> > >();
foreach (var ticker in tickers)
{
StockTickerValues tickerDownloader = new StockTickerValues(maxDate, ticker);
IList <Tuple <DateTime, double> > tickerValues = tickerDownloader.Download();
if (tickerValues != null)
{
allTickerData[ticker] = tickerValues;
}
}
// Write the data to files. The first one has the raw data, the second has the data normalized.
// For each ticker we normalize by its value at the beginning of the period
using (FileWriterBase regularWriter = new RegularWriter(@"C:\Users\yytov\Desktop\ticker_data.tsv", allTickerData))
using (FileWriterBase normalizedDataWriter = new NormalizedDataWriter(@"C:\Users\yytov\Desktop\ticker_data_normalized.tsv", allTickerData))
{
regularWriter.Write();
normalizedDataWriter.Write();
}
Console.WriteLine("Processed {0} documents. Got data for {1} tickers. \r\nDone", documents.Count, tickers.Count());
Console.ReadLine();
}
static void Main(string[] args)
{
// Read and process all the documents (read HTML, extract text/date, extract tickers)
string[] filePaths = Directory.GetFiles("dataFiles");
IList<Document> documents = new List<Document>();
foreach (var filepath in filePaths)
{
Document document = new Document(filepath);
document.Process();
if (document.Date != null && document.Tickers != null) documents.Add(document);
}
// We'll only extract ticker data for the latest date
DateTime maxDate = documents.Max(document => document.Date);
Console.WriteLine("Will extract data from {0}-{1}-{2} to today", maxDate.Year, maxDate.Month, maxDate.Day);
// Get all tickers and add NASDAQ and S&P indexes for comparison
IEnumerable<string> tickers = documents.Select(document => document.Tickers).
SelectMany(allTickers => allTickers).Distinct().Concat(new string[] { "^GSPC", "^IXIC" });
Console.WriteLine("Getting data for {0} tickers", tickers.Count());
// Now get the ticker value from maxDate to today for every ticker
IDictionary<string, IList<Tuple<DateTime, double>>> allTickerData = new Dictionary<string, IList<Tuple<DateTime, double>>>();
foreach (var ticker in tickers)
{
StockTickerValues tickerDownloader = new StockTickerValues(maxDate, ticker);
IList<Tuple<DateTime, double>> tickerValues = tickerDownloader.Download();
if (tickerValues != null)
{
allTickerData[ticker] = tickerValues;
}
}
// Write the data to files. The first one has the raw data, the second has the data normalized.
// For each ticker we normalize by its value at the beginning of the period
using (FileWriterBase regularWriter = new RegularWriter(@"C:\Users\yytov\Desktop\ticker_data.tsv", allTickerData))
using (FileWriterBase normalizedDataWriter = new NormalizedDataWriter(@"C:\Users\yytov\Desktop\ticker_data_normalized.tsv", allTickerData))
{
regularWriter.Write();
normalizedDataWriter.Write();
}
Console.WriteLine("Processed {0} documents. Got data for {1} tickers. \r\nDone", documents.Count, tickers.Count());
Console.ReadLine();
}