| Overall Statistics |
|
Total Trades 466 Average Win 0.95% Average Loss -0.64% Compounding Annual Return 9.176% Drawdown 26.900% Expectancy 0.347 Net Profit 64.566% Sharpe Ratio 0.605 Loss Rate 46% Win Rate 54% Profit-Loss Ratio 1.49 Alpha -0.032 Beta 0.934 Annual Standard Deviation 0.133 Annual Variance 0.018 Information Ratio -0.533 Tracking Error 0.076 Treynor Ratio 0.086 Total Fees $657.27 |
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// In this algorithm we demonstrate how to use the coarse fundamental data to
/// define a universe as the top dollar volume
/// </summary>
public class CoarseFundamentalTop5Algorithm : QCAlgorithm
{
private const int NumberOfSymbols = 5;
// initialize our changes to nothing
SecurityChanges _changes = SecurityChanges.None;
public override void Initialize()
{
UniverseSettings.Resolution = Resolution.Daily;
SetStartDate(2012, 01, 01);
SetEndDate(2017, 09, 01);
SetCash(50000);
// this add universe method accepts a single parameter that is a function that
// accepts an IEnumerable<CoarseFundamental> and returns IEnumerable<Symbol>
AddUniverse(CoarseSelectionFunction);
}
// sort the data by daily dollar volume and take the top 'NumberOfSymbols'
public static IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse)
{
// sort descending by daily dollar volume
var sortedByDollarVolume = coarse.OrderByDescending(x => x.DollarVolume);
// take the top entries from our sorted collection
var top5 = sortedByDollarVolume.Take(NumberOfSymbols);
// we need to return only the symbol objects
return top5.Select(x => x.Symbol);
}
//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 we have no changes, do nothing
if (_changes == SecurityChanges.None) return;
// liquidate removed securities
foreach (var security in _changes.RemovedSecurities)
{
if (security.Invested)
{
Liquidate(security.Symbol);
}
}
// we want 20% allocation in each security in our universe
foreach (var security in _changes.AddedSecurities)
{
SetHoldings(security.Symbol, 0.2m);
}
_changes = SecurityChanges.None;
}
// this event fires whenever we have changes to our universe
public override void OnSecuritiesChanged(SecurityChanges changes)
{
_changes = changes;
}
}
}