| 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
{
/*
* QuantConnect University: Full Basic Template:
*
* The underlying QCAlgorithm class is full of helper methods which enable you to use QuantConnect.
* We have explained some of these here, but the full algorithm can be found at:
* https://github.com/QuantConnect/QCAlgorithm/blob/master/QuantConnect.Algorithm/QCAlgorithm.cs
*/
public class BasicTemplateAlgorithm : QCAlgorithm
{
private const string Market = "usa";
private readonly Symbol _symbol = QuantConnect.Symbol.Create("SPY", SecurityType.Equity, Market);
private HeikinAshi _ha;
private WilliamsPercentR _willr;
private MoneyFlowIndex _mfi;
public override void Initialize()
{
SetStartDate(2013, 10, 7);
SetEndDate(2013, 10, 11);
SetCash(10000);
AddEquity(_symbol, Resolution.Daily, Market);
_willr = new WilliamsPercentR(20);
_mfi = new MoneyFlowIndex(20);
_ha = HeikinAshi(_symbol);
_ha.Updated += (sender, consolidated) =>
{
_willr.Update(_ha.CurrentBar);
_mfi.Update(_ha.CurrentBar);
};
}
public void OnData(TradeBars bars)
{
Log("Time: " + Time);
Log("HeikinAshi.Close: " + _ha.Close);
Log("HeikinAshi.Volume: " + _ha.CurrentBar.Volume);
Log("Williams% max: " + _willr.Maximum);
Log("Williams% min: " + _willr.Minimum);
Log("MFI: " + _mfi);
}
}
}