| 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);
}
}
}
}