using System;
using QuantConnect.Algorithm;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using QuantConnect.Indicators;
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 BasicTemplateAlgorithm : QCAlgorithm
{
private AverageTrueRange spyAtr;
private AverageTrueRange uvxyAtr;
private SimpleMovingAverage uvxyAverage;
//Initialize the data and resolution you require for your strategy:
public override void Initialize()
{
//Start and End Date range for the backtest:
SetStartDate(2016, 12, 1);
SetEndDate(DateTime.Now.Date.AddDays(-1));
//Cash allocation
SetCash(50000);
//Add as many securities as you like. All the data will be passed into the event handler:
AddSecurity(SecurityType.Equity, "SPY", Resolution.Minute);
AddSecurity(SecurityType.Equity, "UVXY", Resolution.Minute);
var fiveMinuteConsolidator = new TradeBarConsolidator(TimeSpan.FromMinutes(5));
fiveMinuteConsolidator.DataConsolidated += FiveMinuteHandler;
spyAtr = new AverageTrueRange(5, MovingAverageType.Simple);
spyAtr = ATR("SPY", 14, MovingAverageType.Simple, Resolution.Minute);
uvxyAtr = ATR("UVXY", 14, MovingAverageType.Simple, Resolution.Minute);
uvxyAverage = SMA("UVXY",5, Resolution.Minute);
RegisterIndicator("SPY", spyAtr, fiveMinuteConsolidator);
RegisterIndicator("UVXY", uvxyAtr, fiveMinuteConsolidator);
RegisterIndicator("UVXY", uvxyAverage, fiveMinuteConsolidator);
SubscriptionManager.AddConsolidator("SPY", fiveMinuteConsolidator);
SubscriptionManager.AddConsolidator("UVXY", fiveMinuteConsolidator);
}
private void FiveMinuteHandler(object sender, TradeBar consolidatedBar) {
if( spyAtr.IsReady && uvxyAtr.IsReady && uvxyAverage.IsReady) {
Console.WriteLine( "Time: " + consolidatedBar.EndTime + " Price: " + Securities["UVXY"].Price + " average: " + uvxyAverage + " SPY: " + Securities["SPY"].Price + " SPY ATR: " + spyAtr + " uvxyATR: " + uvxyAtr);
var holdings = Portfolio["UVXY"].Quantity;
if( holdings <= 0 ) {
if( Securities["UVXY"].Price > uvxyAverage ) {
Liquidate("UVXY");
}
} else {
if( Securities["UVXY"].Price < uvxyAverage ) {
SetHoldings("UVXY", -1.0);
}
}
Plot("UVXY", uvxyAverage);
} else {
Console.WriteLine("Warming up");
}
}
//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)
{
// int quantity = (int)Math.Floor(Portfolio.Cash / data["SPY"].Close);
//Order function places trades: enter the string symbol and the quantity you want:
// Order("SPY", quantity);
//Debug sends messages to the user console: "Time" is the algorithm time keeper object
//Debug("Purchased SPY 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.");
}
}
}
}
namespace QuantConnect {
//
// Make sure to change "BasicTemplateAlgorithm" to your algorithm class name, and that all
// files use "public partial class" if you want to split up your algorithm namespace into multiple files.
//
//public partial class BasicTemplateAlgorithm : QCAlgorithm, IAlgorithm
//{
// Extension functions can go here...(ones that need access to QCAlgorithm functions e.g. Debug, Log etc.)
//}
//public class Indicator
//{
// ...or you can define whole new classes independent of the QuantConnect Context
//}
}