| Overall Statistics |
|
Total Trades 1 Average Win 36.15% Average Loss 0.00% Annual Return 22.648% Drawdown 6.700% Expectancy 0.000 Net Profit 36.153% Sharpe Ratio 1.863 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.008 Beta 0.902 Annual Standard Deviation 0.107 Annual Variance 0.011 Information Ratio -0.287 Tracking Error 0.044 Treynor Ratio 0.22 |
using System;
using System.IO;
using System.Linq;
using System.Collections;
using System.Collections.Generic;
using QuantConnect.Securities;
using QuantConnect.Models;
namespace QuantConnect {
public partial class QCUDataFiltering : QCAlgorithm
{
public override void Initialize()
{
SetStartDate(2013, 1, 1);
SetEndDate(DateTime.Now.Date.AddDays(-1));
SetCash(25000);
AddSecurity(SecurityType.Equity, "SPY", Resolution.Minute);
//Add our custom data filter.
Securities["SPY"].DataFilter = new CustomDataFilter();
}
public void OnData( TradeBars data )
{
//Because of our data filter this first order should be on a wednesday. We should only get Wednesday's data!
if (!Portfolio.Invested)
{
SetHoldings("SPY", 1);
}
}
}
}using System;
using System.Collections;
using System.Collections.Generic;
using QuantConnect.Securities;
using QuantConnect.Models;
namespace QuantConnect {
public class CustomDataFilter : ISecurityDataFilter
{
/// <summary>
/// Filter out a tick from this vehicle, with this new data:
/// </summary>
/// <param name="data">New data packet:</param>
/// <param name="vehicle">Vehicle of this filter.</param>
public bool Filter(Security asset, BaseData data)
{
// TRUE --> Accept Tick
// FALSE --> Reject Tick
//Example:
if (data.Time.DayOfWeek != DayOfWeek.Wednesday)
{
return false;
}
return true;
}
}
}