| Overall Statistics |
|
Total Trades 3 Average Win 0.06% Average Loss -0.02% Compounding Annual Return 3.62% Drawdown 1.200% Expectancy 1.577 Net Profit 0.104% Sharpe Ratio 0.501 Loss Rate 33% Win Rate 67% Profit-Loss Ratio 2.87 Alpha -0.066 Beta 0.27 Annual Standard Deviation 0.055 Annual Variance 0.003 Information Ratio -2.641 Tracking Error 0.121 Treynor Ratio 0.102 |
/*
* 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 QuantConnect.Data.Custom;
using QuantConnect.Data.Market;
namespace QuantConnect.Algorithm.Examples
{
/// <summary>
/// Basic template algorithm simply initializes the date range and cash
/// </summary>
public class MultipleCustomDataAlgorithm : QCAlgorithm
{
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
public override void Initialize()
{
SetStartDate(2013, 10, 01); //Set Start Date
SetEndDate(2013, 10, 11); //Set End Date
SetCash(100000); //Set Strategy Cash
// Find more symbols here: http://quantconnect.com/data
AddSecurity(SecurityType.Forex, "EURUSD", Resolution.Minute);
// add our custom data from yahoo
AddData<Quandl>("YAHOO/INDEX_SPY");
AddData<Quandl>("YAHOO/IBM");
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">TradeBars IDictionary object with your stock data</param>
public void OnData(TradeBars data)
{
if (!Portfolio["EURUSD"].Invested)
{
Order("EURUSD", 10000);
Debug("Purchased EURUSD");
}
}
/// <summary>
/// This is our data event handler for Quandl type data.
/// </summary>
/// <param name="quandl"></param>
public void OnData(Quandl quandl)
{
// order 100 shares of each custom quandl data
if (!Portfolio[quandl.Symbol].Invested)
{
MarketOrder(quandl.Symbol, 100);
Debug("Purchased " + quandl.Symbol);
}
}
}
}