Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 31.770% Drawdown 81.900% Expectancy 0 Net Profit 37019.815% Sharpe Ratio 0.868 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.026 Beta 19.833 Annual Standard Deviation 0.428 Annual Variance 0.183 Information Ratio 0.822 Tracking Error 0.428 Treynor Ratio 0.019 Total Fees $488.63 |
using System.Collections.Generic; using QuantConnect.Data; using QuantConnect.Interfaces; namespace QuantConnect.Algorithm.CSharp { /// <summary> /// Basic template algorithm simply initializes the date range and cash. This is a skeleton /// framework you can use for designing an algorithm. /// </summary> /// <meta name="tag" content="using data" /> /// <meta name="tag" content="using quantconnect" /> /// <meta name="tag" content="trading and orders" /> public class BasicTemplateAlgorithm : QCAlgorithm { private Symbol _symbol = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA); /// <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(1998, 1, 1); //Set Start Date // SetEndDate(2019, 6, 1); //Set End Date SetCash(100000); //Set Strategy Cash AddEquity("AAPL", Resolution.Daily); } /// <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(_symbol, 1); } } }