| Overall Statistics |
|
Total Trades 631 Average Win 1.04% Average Loss -0.84% Compounding Annual Return -98.550% Drawdown 52.500% Expectancy -0.186 Net Profit -44.141% Sharpe Ratio -3.612 Loss Rate 63% Win Rate 37% Profit-Loss Ratio 1.23 Alpha -3.194 Beta -0.086 Annual Standard Deviation 0.874 Annual Variance 0.764 Information Ratio -3.037 Tracking Error 0.902 Treynor Ratio 36.789 Total Fees $21002.26 |
/* 30 mins XIV long short using SMA cross */
using System;
using System.Linq;
using QuantConnect.Indicators;
using QuantConnect.Models;
namespace QuantConnect.Algorithm.Examples
{
/// <summary>
///
/// QuantConnect University: EMA + SMA Cross
///
/// In this example we look at the canonical 20/50 day moving average cross. This algorithm
/// will go long when the 20 crosses above the 50 and will liquidate when the 20 crosses
/// back below the 50.
// -------VATS CHANGES -----------
// 1) Intraday - Hourly
// 2) 1/50 period SMA cross
//
// -------VATS CHANGES -----------
/// </summary>
public class QCUMovingAverageCross : QCAlgorithm
{
private const string Symbol = "XIV";
private SimpleMovingAverage fast;
private SimpleMovingAverage slow;
TradeBar _spyMinutes;
public override void Initialize()
{
SetStartDate(2016, 01, 01);
//SetEndDate(2015, 12, 31);
SetEndDate(DateTime.Now.Date.AddDays(-1));
SetCash(100000);
AddSecurity(SecurityType.Equity, Symbol, Resolution.Minute);
Transactions.MarketOrderFillTimeout = TimeSpan.FromMinutes(10);
// define our daily trade bar consolidator. we can access the daily bar
// from the DataConsolidated events, this consolidator can only be used
// for a single symbol!
var minConsolidator = new TradeBarConsolidator(TimeSpan.FromMinutes(5));
// attach our event handler. the event handler is a function that will be called each time we produce
// a new consolidated piece of data.
minConsolidator.DataConsolidated += OnFiveMinutes;
// this call adds our daily consolidator to the manager to receive updates from the engine
SubscriptionManager.AddConsolidator(Symbol, minConsolidator);
int fastPeriod = 1;
int slowPeriod = 5;
fast = new SimpleMovingAverage(Symbol + "_SMA_" + fastPeriod, fastPeriod);
slow = new SimpleMovingAverage(Symbol + "_SMA_" + slowPeriod, slowPeriod);
// we need to manually register these indicators for automatic updates
RegisterIndicator(Symbol, fast, minConsolidator);
RegisterIndicator(Symbol, slow, minConsolidator);
}
private DateTime previous;
private void OnFiveMinutes(object sender, TradeBar consolidated)
{
_spyMinutes = consolidated;
//Log(consolidated.Time.ToString("o") + " >> " + Symbol + ">> LONG >> 100 >> " + Portfolio[Symbol].Quantity);
// if you want code to run every five minutes then you can run it inside of here
if (!slow.IsReady) return;
// only once per day
// Commented the following line to simulate intraday - Vats
//if (previous.Date == data.Time.Date) return;
// in OnData, returns outside of 9am - 2pm
//if (Time.Hour <= 9 || Time.Hour > 16) return;
const decimal tolerance = 0*0.10000m;
var holdings = Portfolio[Symbol].Quantity;
int qnt=0;
int total_qnt=0;
decimal lvl=1.0m;
decimal value = Portfolio.TotalPortfolioValue;
{
if (fast > slow * (1 + tolerance))
{
if (holdings == 0)
{
Log (consolidated.Time.ToString()) ;
qnt = (int) (value*lvl/Securities[Symbol].Price);
total_qnt = qnt-holdings;//holdings=0 here
//total_qnt = qnt;//holdings=0 here
//SetHoldings(Symbol, 0.4);
Order(Symbol,total_qnt,OrderType.Market);
Log("first BUY >> " + total_qnt + "@ price " + Securities[Symbol].Price+"from cash"+qnt);
Log("NET POSITION BEFORE NEXT TRANSACTION >> " + holdings);
} else if (holdings < 0)
{
Log (consolidated.Time.ToString()) ;
//SetHoldings(Symbol, 0.4);
qnt = (int) (value*lvl/Securities[Symbol].Price);
total_qnt = qnt-1*holdings; //reverse the current negative holding and order some more
//total_qnt = 2*qnt;//holdings=0 here
Order(Symbol,total_qnt,OrderType.Market);
Log("BUY >> " + total_qnt + "@ price " + Securities[Symbol].Price+"from cash"+qnt);
Log("NET POSITION BEFORE NEXT TRANSACTION >> " + holdings);
}
}
if (fast < slow) //go short
{
if (holdings == 0)
{
Log (consolidated.Time.ToString()) ;
qnt = (int) (-1*value*lvl/Securities[Symbol].Price);
total_qnt = qnt-holdings;//holdings=0 here
//total_qnt = qnt;//holdings=0 here
//SetHoldings(Symbol, 0.4);
Order(Symbol,total_qnt,OrderType.Market);
Log("first SELL >> " + total_qnt + "@ price " + Securities[Symbol].Price+"from cash"+qnt);
Log("NET POSITION BEFORE NEXT TRANSACTION >> " + holdings);
} else if (holdings >0)
{
Log (consolidated.Time.ToString()) ;
qnt = (int) (-1*value*lvl/Securities[Symbol].Price);
total_qnt = qnt-1*holdings; //reverse the current positive holding and short some more
//total_qnt = 2*qnt;//holdings=0 here
Order(Symbol,total_qnt,OrderType.Market);
Log("SELL >> " + total_qnt + "@ price " + Securities[Symbol].Price+"from cash"+qnt);
Log("NET POSITION BEFORE NEXT TRANSACTION >> " + holdings);
//Liquidate(Symbol);
}
}
}
previous = consolidated.Time;
}
public void OnData(TradeBars data)
{
}
bool IsTradingday(TradeBar b)
{
if ( b.Time.Date.DayOfWeek == DayOfWeek.Monday
|| b.Time.Date.DayOfWeek == DayOfWeek.Tuesday
|| b.Time.Date.DayOfWeek == DayOfWeek.Wednesday
|| b.Time.Date.DayOfWeek == DayOfWeek.Thursday
|| b.Time.Date.DayOfWeek == DayOfWeek.Friday)
return true;
else
return false;
} // avoid weekends but still problematic with the nontrading weekdays
}
}