Overall Statistics |
Total Trades 1 Average Win 40.61% Average Loss 0% Compounding Annual Return 18.551% Drawdown 7.700% Expectancy 0 Net Profit 40.609% Sharpe Ratio 1.593 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.027 Beta 0.974 Annual Standard Deviation 0.11 Annual Variance 0.012 Information Ratio -1.595 Tracking Error 0.021 Treynor Ratio 0.181 |
using System; using System.Collections; using System.Collections.Generic; using QuantConnect.Securities; using QuantConnect.Models; namespace QuantConnect { /* * QuantConnect University: Generic Quandl Data Importer * * Using the underlying dynamic data class "Quandl" we take care of the data * importing and definition for you. Simply point QuantConnect to the Quandl Short Code. * * The Quandl object has properties which match the spreadsheet headers. * If you have multiple quandl streams look at data.Symbol to distinguish them. */ public class QCUQuandlImporter : QCAlgorithm { string _quandlCode = "YAHOO/INDEX_SPY"; //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 Generic Quandl Data: AddData<Quandl>(_quandlCode, 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(Quandl data) { if (!Portfolio.HoldStock) { //Order function places trades: enter the string symbol and the quantity you want: SetHoldings(_quandlCode, 100); //Debug sends messages to the user console: "Time" is the algorithm time keeper object Debug("Purchased " + _quandlCode + " >> " + Time.ToShortDateString()); } } } }