/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
using System;
using QuantConnect.Interfaces;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data;
using QuantConnect.Data.Custom.Tiingo;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
///
/// Example algorithm of a custom universe selection using coarse data and adding TiingoNews
/// If conditions are met will add the underlying and trade it
///
public class CoarseTiingoNewsUniverseSelectionAlgorithm : QCAlgorithm
{
private const int NumberOfSymbols = 3;
private List _symbols;
public override void Initialize()
{
SetStartDate(2014, 03, 24);
SetEndDate(2014, 04, 07);
UniverseSettings.FillForward = false;
AddUniverse(new CustomDataCoarseFundamentalUniverse(UniverseSettings, SecurityInitializer, CoarseSelectionFunction));
_symbols = new List();
}
// sort the data by daily dollar volume and take the top 'NumberOfSymbols'
public IEnumerable CoarseSelectionFunction(IEnumerable coarse)
{
// sort descending by daily dollar volume
var sortedByDollarVolume = coarse.OrderByDescending(x => x.DollarVolume);
// take the top entries from our sorted collection
var top = sortedByDollarVolume.Take(NumberOfSymbols);
// we need to return only the symbol objects
return top.Select(x => QuantConnect.Symbol.CreateBase(typeof(TiingoNews), x.Symbol, x.Symbol.ID.Market));
}
public override void OnData(Slice data)
{
var articles = data.Get();
foreach (var kvp in articles)
{
var news = kvp.Value;
if (news.Title.IndexOf("Stocks Drop", 0, StringComparison.CurrentCultureIgnoreCase) != -1)
{
if (!Securities.ContainsKey(kvp.Key.Underlying))
{
// add underlying we want to trade
AddSecurity(kvp.Key.Underlying);
_symbols.Add(kvp.Key.Underlying);
}
}
}
foreach (var symbol in _symbols)
{
if (Securities[symbol].HasData)
{
SetHoldings(symbol, 1m / _symbols.Count);
}
}
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
changes.FilterCustomSecurities = false;
Log($"{Time} {changes}");
}
private class CustomDataCoarseFundamentalUniverse : CoarseFundamentalUniverse
{
public CustomDataCoarseFundamentalUniverse(UniverseSettings universeSettings, ISecurityInitializer securityInitializer, Func, IEnumerable> selector)
: base(universeSettings, securityInitializer, selector)
{ }
public override IEnumerable GetSubscriptionRequests(Security security, DateTime currentTimeUtc, DateTime maximumEndTimeUtc,
ISubscriptionDataConfigService subscriptionService)
{
var config = subscriptionService.Add(
typeof(TiingoNews),
security.Symbol,
UniverseSettings.Resolution,
UniverseSettings.FillForward,
UniverseSettings.ExtendedMarketHours,
dataNormalizationMode: UniverseSettings.DataNormalizationMode);
return new[]{new SubscriptionRequest(isUniverseSubscription: false,
universe: this,
security: security,
configuration: config,
startTimeUtc: currentTimeUtc,
endTimeUtc: maximumEndTimeUtc)};
}
}
}
}