Overall Statistics |
Total Trades 160 Average Win 0% Average Loss 0% Compounding Annual Return 12.642% Drawdown 21.000% Expectancy 0 Net Profit 0% Sharpe Ratio 0.938 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.124 Beta 0.035 Annual Standard Deviation 0.137 Annual Variance 0.019 Information Ratio -0.083 Tracking Error 0.203 Treynor Ratio 3.702 Total Fees $160.00 |
///<summary> /// QCU - S&P 500 Dollar Averaging Over Time. /// Typical, simple investment strategy - invest a fixed amount each month regardless of market conditions. /// How would this have performed over the last few years? ///</summary> using System; using System.Collections; using System.Collections.Generic; using QuantConnect.Securities; using QuantConnect.Models; namespace QuantConnect { public class QCUDollarCostAverage : QCAlgorithm, IAlgorithm { private string symbol = "ZIV"; private DateTime startDate = new DateTime(2010, 01, 01); private DateTime endDate = new DateTime(2015, 07, 01); private decimal monthlyDollarValue = 1000; private DateTime nextTradeDate = DateTime.MinValue; //Initialize the Code public override void Initialize() { //Dynamic start and end dates configured above. SetStartDate(startDate); SetEndDate(endDate); //Set the cash as a function of the number of months we're investing decimal investments = Convert.ToDecimal((endDate - startDate).TotalDays / 10); SetCash(investments * monthlyDollarValue); AddSecurity(SecurityType.Equity, symbol, Resolution.Minute, true, false); } //Handle the Data Event: public void OnData(TradeBars data) { //Its good practice to wrap our code in "Try-Catch" to handle errors: try { decimal price = data[symbol].Price; DateTime today = data[symbol].Time; int quantity = (int)(monthlyDollarValue / price); //Check we've past the required date of our next investment if (today.Date >= nextTradeDate.Date && Time.Hour >= 12) { //Now place the order to purchase more SPY stock. Order(symbol, quantity); //symbol, quantity // Set the next date we'll place an order: nextTradeDate = today.AddDays(10); } return; } catch (Exception err) { //Errors will be logged to the console Error("Error in Data Event:" + err.Message); } } } }