Overall Statistics |
Total Trades 1 Average Win 49.8% Average Loss 0% Compounding Annual Return 17.752% Drawdown 9.200% Expectancy 0 Net Profit 49.798% Sharpe Ratio 1.528 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.01 Beta 0.96 Annual Standard Deviation 0.111 Annual Variance 0.012 Information Ratio -0.71 Tracking Error 0.024 Treynor Ratio 0.177 Total Fees $2.00 |
namespace QuantConnect { /* * QuantConnect University: Full Basic Template: * * The underlying QCAlgorithm class is full of helper methods which enable you to use QuantConnect. * We have explained some of these here, but the full algorithm can be found at: * https://github.com/QuantConnect/QCAlgorithm/blob/master/QuantConnect.Algorithm/QCAlgorithm.cs */ public class BasicTemplateAlgorithm : QCAlgorithm { SimpleMovingAverage sma; //Initialize the data and resolution you require for your strategy: public override void Initialize() { //Start and End Date range for the backtest: SetStartDate(2013, 1, 1); SetEndDate(DateTime.Now.Date.AddDays(-1)); //Cash allocation SetCash(25000); //Add as many securities as you like. All the data will be passed into the event handler: AddSecurity(SecurityType.Equity, "SPY", Resolution.Minute); sma = SMA("SPY", 15, Resolution.Daily, Field.SevenBar); PlotIndicator("SPY", sma); } //Data Event Handler: New data arrives here. "TradeBars" type is a dictionary of strings so you can access it by symbol. public void OnData(TradeBars data) { // "TradeBars" object holds many "TradeBar" objects: it is a dictionary indexed by the symbol: // // e.g. data["MSFT"] data["GOOG"] if (!Portfolio.HoldStock) { int quantity = (int)Math.Floor(Portfolio.Cash / data["SPY"].Close); //Order function places trades: enter the string symbol and the quantity you want: Order("SPY", quantity); //Debug sends messages to the user console: "Time" is the algorithm time keeper object Debug("Purchased SPY on " + Time.ToShortDateString()); //You can also use log to send longer messages to a file. You are capped to 10kb //Log("This is a longer message send to log."); } } } }
/* * 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.Data; using QuantConnect.Data.Market; namespace QuantConnect { /// <summary> /// Provides static properties to be used as selectors with the indicator system /// </summary> public static partial class Field { /// <summary> /// Gets a selector that selects the Open value /// </summary> public static Func<BaseData, decimal> Open { get { return TradeBarPropertyOrValue(x => x.Open); } } /// <summary> /// Gets a selector that selects the High value /// </summary> public static Func<BaseData, decimal> High { get { return TradeBarPropertyOrValue(x => x.High); } } /// <summary> /// Gets a selector that selects the Low value /// </summary> public static Func<BaseData, decimal> Low { get { return TradeBarPropertyOrValue(x => x.Low); } } /// <summary> /// Gets a selector that selects the Close value /// </summary> public static Func<BaseData, decimal> Close { get { return x => x.Value; } } /// <summary> /// Defines an average price that is equal to (2*O + H + L + 3*C)/7 /// </summary> public static Func<BaseData, decimal> SevenBar { get { return TradeBarPropertyOrValue(x => (2*x.Open + x.High + x.Low + 3*x.Close)/7m); } } /// <summary> /// Gets a selector that selectors the Volume value /// </summary> public static Func<BaseData, decimal> Volume { get { return TradeBarPropertyOrValue(x => x.Volume, x => 0m); } } private static Func<BaseData, decimal> TradeBarPropertyOrValue(Func<TradeBar, decimal> selector, Func<BaseData, decimal> defaultSelector = null) { return x => { var bar = x as TradeBar; if (bar != null) { return selector(bar); } defaultSelector = defaultSelector ?? (data => data.Value); return defaultSelector(x); }; } } }