| Overall Statistics |
|
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Basic template algorithm simply initializes the date range and cash. This is a skeleton
/// framework you can use for designing an algorithm.
/// </summary>
public class TestOanda : QCAlgorithm
{
//Set up the SMA class
SimpleMovingAverage sma;
decimal price;
decimal smad;
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
public override void Initialize()
{
SetStartDate(2013, 10, 10); //Set Start Date
SetEndDate(2013, 10, 11); //Set End Date
// SetCash(100000); //Set Strategy Cash
AddSecurity(SecurityType.Forex, "EURUSD", Resolution.Hour);
sma=SMA("EURUSD", 10,Resolution.Hour);
// There are other assets with similar methods. See "Selecting Options" etc for more details.
// AddFuture, AddForex, AddCfd, AddOption
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">Slice object keyed by symbol containing the stock data</param>
public void OnData(TradeBars data)
{
// if(sma.IsReady) return;
price= Securities["EURUSD"].Close;
Log("Value of sma is" + sma +" and price is"+ price + "Difference is---" + (sma.Minus(price)));
}
}
}