| 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 |
using System;
using QuantConnect.Indicators;
namespace QuantConnect.Algorithm.CSharp.My_Algorithms
{
public class MAalgorithm : QCAlgorithm
{
private string _symbol = "ES";
ExponentialMovingAverage _ema;
SimpleMovingAverage _sma;
public override void Initialize()
{
SetStartDate(2016, 01, 04); //Set Start Date
SetEndDate(2016, 01, 04); //Set End Date
SetCash(100000); //Set Strategy Cash
AddData<ES5minData>(_symbol);
_ema = EMA(_symbol, 8);
_sma = SMA(_symbol, 40);
}
public void OnData(ES5minData data)
{
if (data.Time.TimeOfDay < new TimeSpan(09, 35, 00) ||
data.Time.TimeOfDay > new TimeSpan(12, 00, 00))
return;
if (!_ema.IsReady || !_sma.IsReady) return;
Log(data.Time + " -> " + "EMA = " + _ema + "; SMA = " + _sma);
}
}
}using System;
using System.Globalization;
using QuantConnect.Data;
using QuantConnect.Data.Market;
namespace QuantConnect.Algorithm.CSharp.My_Algorithms
{
public class ES5minData : TradeBar
{
public decimal UpperShadow { get; set; }
public decimal LowerShadow { get; set; }
public decimal HighLow { get; set; }
public decimal RealBody { get; set; }
public decimal UpperShadowPercent { get; set; }
public decimal LowerShadowPercent { get; set; }
public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
{
return new SubscriptionDataSource("https://www.dropbox.com/s/nybrjl87y877flp/ES%202016-01-04%20-%202016-12-19%20-%20EST.csv?dl=1", SubscriptionTransportMedium.RemoteFile);
}
public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
{
ES5minData cmBar = new ES5minData();
try
{
var data = line.Split(',');
//Required.
cmBar.Symbol = "ES";
if (data[1].Length == 5)
{
var theDate = DateTime.ParseExact(data[0], "yyyyMMdd", CultureInfo.InvariantCulture);
var theTime = TimeSpan.ParseExact(data[1].Insert(0, "0"), "hhmmss", CultureInfo.InvariantCulture);
cmBar.Time = theDate + theTime;
}
else
{
var theDate = DateTime.ParseExact(data[0], "yyyyMMdd", CultureInfo.InvariantCulture);
var theTime = TimeSpan.ParseExact(data[1], "hhmmss", CultureInfo.InvariantCulture);
cmBar.Time = theDate + theTime;
}
cmBar.Open = Convert.ToDecimal(data[2], CultureInfo.InvariantCulture);
cmBar.High = Convert.ToDecimal(data[3], CultureInfo.InvariantCulture);
cmBar.Low = Convert.ToDecimal(data[4], CultureInfo.InvariantCulture);
cmBar.Close = Convert.ToDecimal(data[5], CultureInfo.InvariantCulture);
cmBar.Volume = Convert.ToInt64(data[6], CultureInfo.InvariantCulture);
cmBar.Value = cmBar.Close;
if (cmBar.Close > cmBar.Open)
{
cmBar.UpperShadow = (cmBar.High - cmBar.Close);
cmBar.LowerShadow = (cmBar.Open - cmBar.Low);
cmBar.RealBody = (cmBar.Close - cmBar.Open);
}
else
{
cmBar.UpperShadow = (cmBar.High - cmBar.Open);
cmBar.LowerShadow = (cmBar.Close - cmBar.Low);
cmBar.RealBody = (cmBar.Open - cmBar.Close);
}
cmBar.HighLow = (cmBar.High - cmBar.Low);
cmBar.UpperShadowPercent = (cmBar.UpperShadow / cmBar.HighLow * 100);
cmBar.LowerShadowPercent = (cmBar.LowerShadow / cmBar.HighLow * 100);
}
catch
{
}
return cmBar;
}
}
}