| Overall Statistics |
|
Total Trades 28 Average Win 0.32% Average Loss -0.18% Compounding Annual Return 1939.462% Drawdown 1.500% Expectancy 1.471 Net Profit 5.082% Sharpe Ratio 11.365 Loss Rate 12% Win Rate 88% Profit-Loss Ratio 1.82 Alpha 1.285 Beta 59.411 Annual Standard Deviation 0.185 Annual Variance 0.034 Information Ratio 11.297 Tracking Error 0.185 Treynor Ratio 0.035 Total Fees $45.30 |
// https://www.quantconnect.com/forum/discussion/918/feature-coarse-universe-selection
using System;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
namespace QuantConnect.Algorithm.CSharp
{
// In this algorithm we show how you can easily define a
// universe using our coarse selection data. This data includes
// a few properties, including the daily DollarVolume, the daily Volume
// and also the daily closing price via the Value property.
public class CoarseFundamentalTop5Algorithm : QCAlgorithm
{
// initialize our security changes to nothing
SecurityChanges _changes = SecurityChanges.None;
//Coarse region "Variables"
private const decimal minPrice = 50;
private const decimal maxPrice = 100;
private const int numberOfSymbolsCoarse = 15;
private const decimal minVolume = 50000;
private const decimal tpPercent = 1.01m;
public override void Initialize()
{
// this sets the resolution for securities added via universe selection
UniverseSettings.Resolution = Resolution.Minute;
SetStartDate(2018, 5, 6);
SetEndDate(2018, 5, 12);
SetCash(100000);
// this add universe method accepts a single parameter that is a function that
// accepts an IEnumerable<CoarseFundamental> and returns IEnumerable<Symbol>
AddUniverse(coarse =>
{
return (from stock in coarse
where stock.Price > minPrice
where stock.Price < maxPrice
where stock.Volume > minVolume
orderby stock.DollarVolume descending
select stock.Symbol).Take(numberOfSymbolsCoarse);
});
}
// sort the data by daily dollar volume and take the top 5 symbols
public static IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse)
{
// sort descending by daily dollar volume
var sortedByDollarVolume = coarse.OrderByDescending(x => x.DollarVolume);
// take the top 5 entries from our sorted collection
var top5 = sortedByDollarVolume.Take(5);
// we need to return only the symbols
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 25% allocation in each security in our universe (total of 150% invested)
foreach (var security in _changes.AddedSecurities)
{
SetHoldings(security.Symbol, 0.25m);
}
// reset our changes
_changes = SecurityChanges.None;
}
// this event fires whenever we have changes to our universe
public override void OnSecuritiesChanged(SecurityChanges changes)
{
_changes = changes;
}
}
}