Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
/* * 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 System; using QuantConnect.Brokerages; using QuantConnect.Data.Market; using QuantConnect.Orders; namespace QuantConnect.Algorithm.CSharp { /// <summary> /// Basic template algorithm simply initializes the date range and cash /// </summary> public class DividendAlgorithm : 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(2016, 07, 22); //Set Start Date SetEndDate(2016, 07, 28); //Set End Date SetCash(100000); //Set Strategy Cash // Find more symbols here: http://quantconnect.com/data AddSecurity(SecurityType.Equity, "IUSG", Resolution.Daily); Securities["IUSG"].SetDataNormalizationMode(DataNormalizationMode.Raw); // this will use the Tradier Brokerage open order split behavior // forward split will modify open order to maintain order value // reverse split open orders will be cancelled //SetBrokerageModel(BrokerageName.TradierBrokerage); } public void OnData(Splits data) { Debug("IUSG: " + Securities["IUSG"].Price); var split = data["IUSG"]; Console.WriteLine("{0} >> SPLIT >> {1} - {2} - {3} - {4}", split.Time.ToString("o"), split.Symbol, split.SplitFactor, Portfolio.Cash, Portfolio["IUSG"].Quantity); } } }
namespace QuantConnect { // // Make sure to change "BasicTemplateAlgorithm" to your algorithm class name, and that all // files use "public partial class" if you want to split up your algorithm namespace into multiple files. // //public partial class BasicTemplateAlgorithm : QCAlgorithm, IAlgorithm //{ // Extension functions can go here...(ones that need access to QCAlgorithm functions e.g. Debug, Log etc.) //} //public class Indicator //{ // ...or you can define whole new classes independent of the QuantConnect Context //} public class movingaveragealgorithm { private decimal period; private decimal ema; private int samples; public decimal EMA { get {return ema;} } public movingaveragealgorithm(decimal period) { this.period=period; } public bool ready { get {return samples>=period;} } public decimal AddSample(decimal price) { if(samples==0) { ema=price; }else { ema=(1/period)*price+((period-1)/period)*ema; } samples++; return ema; } } }
// using System; // using System.Linq; // using QuantConnect.Data; // using QuantConnect.Data.Consolidators; // using QuantConnect.Data.Market; // using QuantConnect.Indicators; // namespace QuantConnect.Algorithm // { // public class TimeIndicator // { // bool isMonday; // bool isFriday; // public bool day(Time date) // { // if(date.Date.DayOfWeek==DayOfWeek.Monday) // return true; // } // } // End Partial Algorithm Template - Indicators. // } // End QC Namespace