| Overall Statistics |
|
Total Trades 49 Average Win 1.59% Average Loss -1.06% Compounding Annual Return 21.266% Drawdown 8.200% Expectancy 0.633 Net Profit 21.279% Sharpe Ratio 1.361 Loss Rate 35% Win Rate 65% Profit-Loss Ratio 1.50 Alpha 0.178 Beta -0.07 Annual Standard Deviation 0.12 Annual Variance 0.014 Information Ratio -0.296 Tracking Error 0.161 Treynor Ratio -2.335 Total Fees $234.16 |
/*
* 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 System.Collections.Generic;
using System.Linq;
using System.Net;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// In this algortihm we show how you can easily use the universe selection feature to fetch symbols
/// to be traded using the AddUniverse method. This method accepts a function that will return the
/// desired current set of symbols. Return Universe.Unchanged if no universe changes should be made
/// </summary>
public class DropboxUniverseSelectionAlgorithm : QCAlgorithm
{
// the changes from the previous universe selection
private SecurityChanges _changes = SecurityChanges.None;
// only used in backtest for caching the file results
private readonly Dictionary<DateTime, List<string>> _backtestSymbolsPerDay = new Dictionary<DateTime, List<string>>();
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
/// <seealso cref="QCAlgorithm.SetStartDate(System.DateTime)"/>
/// <seealso cref="QCAlgorithm.SetEndDate(System.DateTime)"/>
/// <seealso cref="QCAlgorithm.SetCash(decimal)"/>
public override void Initialize()
{
// this sets the resolution for data subscriptions added by our universe
UniverseSettings.Resolution = Resolution.Daily;
// set our start and end for backtest mode
SetStartDate(2013, 01, 01);
SetEndDate(2013, 12, 31);
// define a new custom universe that will trigger each day at midnight
AddUniverse("my-dropbox-universe", Resolution.Daily, dateTime =>
{
const string liveUrl = @"https://www.dropbox.com/s/2az14r5xbx4w5j6/daily-stock-picker-live.csv?dl=1";
const string backtestUrl = @"https://www.dropbox.com/s/rmiiktz0ntpff3a/daily-stock-picker-backtest.csv?dl=1";
var url = LiveMode ? liveUrl : backtestUrl;
using (var client = new WebClient())
{
// handle live mode file format
if (LiveMode)
{
// fetch the file from dropbox
var file = client.DownloadString(url);
// if we have a file for today, break apart by commas and return symbols
if (file.Length > 0) return file.ToCsv();
// no symbol today, leave universe unchanged
return Universe.Unchanged;
}
// backtest - first cache the entire file
if (_backtestSymbolsPerDay.Count == 0)
{
// fetch the file from dropbox only if we haven't cached the result already
var file = client.DownloadString(url);
// split the file into lines and add to our cache
foreach (var line in file.Split(new[] { '\n', '\r' }, StringSplitOptions.RemoveEmptyEntries))
{
var csv = line.ToCsv();
var date = DateTime.ParseExact(csv[0], "yyyyMMdd", null);
var symbols = csv.Skip(1).ToList();
_backtestSymbolsPerDay[date] = symbols;
}
}
// if we have symbols for this date return them, else specify Universe.Unchanged
List<string> result;
if (_backtestSymbolsPerDay.TryGetValue(dateTime.Date, out result))
{
return result;
}
return Universe.Unchanged;
}
});
}
/// <summary>
/// Stock data event handler
/// </summary>
/// <param name="data"></param>
public void OnData(TradeBars data)
{
if (_changes == SecurityChanges.None) return;
// start fresh
Liquidate();
var percentage = 1m/data.Count;
foreach (var tradeBar in data.Values)
{
SetHoldings(tradeBar.Symbol, percentage);
}
// reset changes
_changes = SecurityChanges.None;
}
/// <summary>
/// Event fired each time the we add/remove securities from the data feed
/// </summary>
/// <param name="changes"></param>
public override void OnSecuritiesChanged(SecurityChanges changes)
{
// each time our securities change we'll be notified here
_changes = changes;
}
}
}