| Overall Statistics |
|
Total Trades 2 Average Win 8.91% Average Loss -2.93% Compounding Annual Return 5.729% Drawdown 4.500% Expectancy 1.022 Net Profit 5.724% Sharpe Ratio 0.835 Loss Rate 50% Win Rate 50% Profit-Loss Ratio 3.04 Alpha 0.047 Beta 0.081 Annual Standard Deviation 0.069 Annual Variance 0.005 Information Ratio -0.6 Tracking Error 0.124 Treynor Ratio 0.711 Total Fees $5.18 |
using System;
using System.Collections;
using System.Collections.Generic;
using QuantConnect.Securities;
using QuantConnect.Models;
namespace QuantConnect
{
// Name your algorithm class anything, as long as it inherits QCAlgorithm
public class pair_trading_Algorithm : QCAlgorithm
{
//Initialize the data and resolution you require for your strategy:
public override void Initialize()
{
// Code Automaticly Generated
AddSecurity(SecurityType.Equity, "KO", Resolution.Minute);
// Code Automaticly Generated
AddSecurity(SecurityType.Equity, "PEP", Resolution.Minute);
// Code Automaticly Generated
// Code Automaticly Generated
SetStartDate(2014, 1, 1);
SetEndDate(2015,1,1);
SetCash(25000);
// AddSecurity(SecurityType.Equity, "MSFT", Resolution.Minute);
}
//Data Event Handler: New data arrives here. "TradeBars" type is a dictionary of strings so you can access it by symbol.
public void OnData(TradeBars data)
{
if (!Portfolio.HoldStock)
{
Order("KO", -(int)Math.Floor(12500 / data["KO"].Close));
Order("PEP",(int)Math.Floor(12500 / data["PEP"].Close));
// Debug("Debug Purchased MSFT");
}
}
}
}