Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return -20.823% Drawdown 12.600% Expectancy 0 Net Profit 0% Sharpe Ratio -1.268 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.179 Beta 0.15 Annual Standard Deviation 0.164 Annual Variance 0.027 Information Ratio -0.056 Tracking Error 0.215 Treynor Ratio -1.386 Total Fees $1.00 |
using System; using System.Collections; using System.Collections.Generic; using QuantConnect.Securities; using QuantConnect.Models; using QuantConnect.Data.Consolidators; 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 Candle { public decimal Open = 0; public decimal High = Decimal.MinValue; public decimal Low = Decimal.MaxValue; public decimal Close = 0; public int Samples = 0; public void Update(TradeBar bar) { if (Open == 0) Open = bar.Open; if (High < bar.High) High = bar.High; if (Low > bar.Low) Low = bar.Low; Close = bar.Close; Samples++; } } public class BasicTemplateAlgorithm : QCAlgorithm { //Initialize the data and resolution you require for your strategy: int curQty; string ticker = "SPY"; TradeBarConsolidator _consolidator; public override void Initialize() { //Start and End Date range for the backtest: SetStartDate(2015, 6, 7); SetEndDate(DateTime.Now.Date.AddDays(-1)); //Cash allocation SetCash(10000); //Add as many securities as you like. All the data will be passed into the event handler: AddSecurity(SecurityType.Equity, ticker, Resolution.Minute); _consolidator = new TradeBarConsolidator( TimeSpan.FromHours(8) ); _consolidator.DataConsolidated += EightHourBars; SubscriptionManager.AddConsolidator(ticker,_consolidator); // schedules the 'OnFiveMinutesAfterMarketOpen' function to run 5 minutes after the Symbol's market open Schedule.On(DateRules.EveryDay(ticker), TimeRules.AfterMarketOpen(ticker, 5/*minutes after open*/), OnFiveMinutesAfterMarketOpen); // schedules the 'OnFiveMinutesBeforeMarketClose' function to run 5 minutes before the Symbol's market close Schedule.On(DateRules.EveryDay(ticker), TimeRules.BeforeMarketClose(ticker, 5/*minutes before close*/), OnFiveMinutesBeforeMarketClose); } public void OnFiveMinutesAfterMarketOpen() { Security selectedSecurity= Securities[ticker]; // updates using the price at 9:35am Debug("Open " + Time.ToString("u") + selectedSecurity.Close); } public void OnFiveMinutesBeforeMarketClose() { Security selectedSecurity= Securities[ticker]; // updates using the price at 3:55pm Debug("Close " + Time.ToString("u") + selectedSecurity.Close); } public void EightHourBars(Object o, TradeBar bar) { Debug(Time.ToString("u") + " Close Price: " + bar.Close); } //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) { curQty = (int)Math.Floor(Portfolio.Cash / data[ticker].Open); //Order function places trades: enter the string symbol and the quantity you want: Order(ticker, curQty); //Debug sends messages to the user console: "Time" is the algorithm time keeper object Debug("Purchased " + ticker + " 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."); } if (Portfolio.HoldStock) { //Order(ticker, curQty * -1); } } } }