| Overall Statistics |
|
Total Trades 10 Average Win 0.73% Average Loss -1.10% Compounding Annual Return -57.717% Drawdown 0.900% Expectancy -0.169 Net Profit -0.705% Sharpe Ratio -9.386 Loss Rate 50% Win Rate 50% Profit-Loss Ratio 0.66 Alpha 0.085 Beta -0.261 Annual Standard Deviation 0.047 Annual Variance 0.002 Information Ratio -11.277 Tracking Error 0.22 Treynor Ratio 1.706 Total Fees $2.50 |
/*
* 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.Collections.Generic;
using System.Linq;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using QuantConnect.Orders;
using QuantConnect.Securities.Option;
using System.Collections.Generic;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// In this algorithm we demonstrate how to define a universe
/// as a combination of use the coarse fundamental data and fine fundamental data
/// </summary>
public class CoarseFineFundamentalComboAlgorithm : QCAlgorithm
{
private const int NumberOfSymbolsCoarse = 5;
private const int NumberOfSymbolsFine = 2;
// initialize our changes to nothing
private SecurityChanges _changes = SecurityChanges.None;
public override void Initialize()
{
UniverseSettings.Resolution = Resolution.Daily;
SetStartDate(2016, 03, 01);
SetEndDate(2016, 03, 03);
SetCash(10000);
// this add universe method accepts two parameters:
// - coarse selection function: accepts an IEnumerable<CoarseFundamental> and returns an IEnumerable<Symbol>
// - fine selection function: accepts an IEnumerable<FineFundamental> and returns an IEnumerable<Symbol>
AddUniverse(CoarseSelectionFunction, FineSelectionFunction);
}
// sort the data by daily dollar volume and take the top 'NumberOfSymbolsCoarse'
public IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse)
{
// select only symbols with fundamental data and sort descending by daily dollar volume
var sortedByDollarVolume = coarse
.Where(x => x.HasFundamentalData)
.OrderByDescending(x => x.DollarVolume);
// take the top entries from our sorted collection
var top5 = sortedByDollarVolume.Take(15);
// we need to return only the symbol objects
return top5.Select(x => x.Symbol);
}
// sort the data by P/E ratio and take the top 'NumberOfSymbolsFine'
public IEnumerable<Symbol> FineSelectionFunction(IEnumerable<FineFundamental> fine)
{
// Only return SPY for testing purposes
return fine.Where(x=> x.Symbol.Value == "SPY").Select(x => x.Symbol);
return fine.Where(x =>
// More than 7 days after earnings report
Time >= x.EarningReports.FileDate.AddDays(-7) &&
Time >= x.EarningReports.FileDate.AddDays(0) &&
// Invalid FileDate
x.EarningReports.FileDate != new DateTime())
.Take(5)
.Select(x => x.Symbol);
}
public override void OnData(Slice data) {
foreach (var kvp in data.OptionChains) {
var symbol = kvp.Key;
var chain = kvp.Value;
var atmStraddle = chain
.OrderBy(x => Math.Abs(chain.Underlying.Price - x.Strike))
.ThenByDescending(x => x.Expiry)
.FirstOrDefault();
if (atmStraddle != null && !Portfolio.Invested)
{
Buy(OptionStrategies.Straddle(symbol, atmStraddle.Strike, atmStraddle.Expiry), 1);
Log("Bought Straddle: " + symbol);
}
}
}
// this event fires whenever we have changes to our universe
public override void OnSecuritiesChanged(SecurityChanges changes)
{
// Liquidate removed securities
foreach (var security in changes.RemovedSecurities)
{
if (security.Invested)
{
Liquidate(security.Symbol);
}
}
// Add option for every added security
foreach (var security in changes.AddedSecurities)
{
if (security is Option) continue;
var option = AddOption(security.Symbol);
option.SetFilter(-2, 2, TimeSpan.Zero, TimeSpan.FromDays(45));
}
}
}
}