| Overall Statistics |
|
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return -91.717% Drawdown 2.100% Expectancy 0 Net Profit 0% Sharpe Ratio -37.995 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -1.253 Beta 0.021 Annual Standard Deviation 0.034 Annual Variance 0.001 Information Ratio 2.238 Tracking Error 0.139 Treynor Ratio -62.592 Total Fees $2.00 |
/*
* 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;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Basic template algorithm simply initializes the date range and cash
/// </summary>
public class BasicTemplateAlgorithmTest : QCAlgorithm
{
private string _spy = "GBPJPY";
/// <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(2016, 1,4); //Set Start Date
SetEndDate(2016, 1, 6); //Set End Date
SetCash(100000); //Set Strategy Cash
// Find more symbols here: http://quantconnect.com/data
AddForex("USDJPY", Resolution.Minute);
AddForex("GBPJPY", Resolution.Minute);
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">Slice object keyed by symbol containing the stock data</param>
public override void OnData(Slice data)
{
if (!Portfolio.Invested)
{
SetHoldings(_spy, 1);
Debug("Purchased Stock");
}
Plot("USDJPY", "USDJPY", data.QuoteBars["USDJPY"].Price);
Plot("USDJPYs", "USDJPYs", Securities["usdjpy"].Close);
}
}
}