/// <summary>
/// Downloads daily historical stock data.
/// </summary>
public string HistoricalDataDownload(string stock, string startDate, WebClient web, WebURIs uRIs, DateTime date, PeregrineOperation peregrine, Transactions transactions)
{
string endDate = date.ToShortDateString();
string stockData = web.DownloadString(uRIs.WSJHistorical(stock, startDate, endDate)); // method call to retrieve the data
return(stockData);
}
/// <summary>
/// The Trading Days method allows the program to validate if the file being downloaded holds the correct amount of data. I am using five of the largest
/// stocks which are heavily tracked. It is unlikely that there will not be historical data on these five stocks, making them a good bench mark.
/// </summary>
/// <param name="numberDays"></param>
/// <returns></returns>
private int tradingDays(string startDate, WebClient web, WebURIs uRIs, DateTime date)
{
List <string> FAANG = new List <string> {
"FB", "AAPL", "AMZN", "NFLX", "GOOGL"
}; // Top Tech stocks: Facebook, Apple, Amazon, NetFlix, Google
int count = 0; // count of the total trading days recorded for FAANG over the period.
foreach (var item in FAANG)
{
// (website location (stock requested, startdate, enddate) splitting by the return symbol > places it into an array > counts the array elements
int rows = web.DownloadString(uRIs.WSJHistorical(item, startDate, date.ToShortDateString())).Split('\n').ToArray().Count();
count += rows; // count = count(current) + rows
}
int tradingDays = count / 5;
return(tradingDays);
}