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;
public override void Initialize()
{
// this sets the resolution for securities added via universe selection
UniverseSettings.Resolution = Resolution.Minute;
SetStartDate(2016, 2, 1);
SetEndDate(DateTime.Now.Date.AddDays(-1));
SetCash(50000);
// this add universe method accepts a single parameter that is a function that
// accepts an IEnumerable<CoarseFundamental> and returns IEnumerable<Symbol>
AddUniverse(coarse =>
{
// Properties available on the CoarseFundamental type 'stock'
// stock.DollarVollume
// stock.Value (daily close)
// stock.Volume
// stock.Market
//
return (from stock in coarse
where stock.Value < 5.0m
select stock.Symbol).Take(5);
});
}
//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;
}
}
}