Overall Statistics |
Total Trades 1 Average Win 0.56% Average Loss 0% Compounding Annual Return 144.498% Drawdown 0.400% Expectancy 0 Net Profit 0.558% Sharpe Ratio 7.127 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.574 Beta 1.137 Annual Standard Deviation 0.066 Annual Variance 0.004 Information Ratio -24.846 Tracking Error 0.018 Treynor Ratio 0.412 |
using System; using System.Collections; using System.Collections.Generic; using QuantConnect.Securities; using QuantConnect.Models; namespace QuantConnect { // Name your algorithm class anything, as long as it inherits QCAlgorithm public class BasicTemplateAlgorithm : QCAlgorithm { string _symbol = "SPY"; DateTime _date = new DateTime(2014, 12, 1); TradeBars _lastBars = null; //Initialize the data and resolution you require for your strategy: public override void Initialize() { SetStartDate(2014, 12, 1); SetEndDate(2014, 12, 4); SetCash(25000); AddSecurity(SecurityType.Equity, _symbol, Resolution.Minute); } //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) { if (!data.ContainsKey(_symbol)) return; if (!Portfolio.Invested) Order(_symbol, 100); if (_lastBars == null) _lastBars = data; if (Time.Date != _date.Date) { _date = Time; Log("PRICES: BarDate>" + _lastBars[_symbol].Time.ToShortDateString() + "> Time> " + _lastBars[_symbol].Time.ToShortTimeString() + " Close > " + _lastBars[_symbol].Close.ToString("C")); } _lastBars = data; } } }