| Overall Statistics |
|
Total Trades 116 Average Win 0.33% Average Loss -0.27% Compounding Annual Return 4.875% Drawdown 3.900% Expectancy 0.010 Net Profit 0.715% Sharpe Ratio 0.451 Loss Rate 55% Win Rate 45% Profit-Loss Ratio 1.23 Alpha 0.021 Beta 0.128 Annual Standard Deviation 0.117 Annual Variance 0.014 Information Ratio -1.152 Tracking Error 0.173 Treynor Ratio 0.413 Total Fees $544.40 |
using System;
using System.Linq;
using QuantConnect.Indicators;
using QuantConnect.Models;
namespace QuantConnect.Algorithm.Examples
{
public class SMACross : QCAlgorithm
{
private const string Symbol = "SPY";
private SimpleMovingAverage fast;
private SimpleMovingAverage slow;
TradeBar _spyMinutes;
public override void Initialize()
{
SetStartDate(2016, 06, 01);
//SetEndDate(2015, 12, 31);
SetEndDate(DateTime.Now.Date.AddDays(-1));
SetCash(100000);
AddSecurity(SecurityType.Equity, Symbol, Resolution.Second);
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(30));
// 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 = 2;
int slowPeriod = 4;
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 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;
Log(consolidated.Close+"//" +fast+"//"+slow);
{
if (fast > slow * (1 + tolerance))
{
if (holdings <= 0)
{
// Log (System.DateTime.Now.Hour.ToString()) ;
// Log("BUY >> " + holdings + "@ price " + Securities[Symbol].Price);
SetHoldings(Symbol, 1);
// Log("NET POSITION BEFORE NEXT TRANSACTION >> " + holdings);
}
}
if (fast < slow)
{
if (holdings > 0)
{
//Log (System.DateTime.Now.Hour.ToString()) ;
//Log("SELL >> " + holdings + "@ price " + Securities[Symbol].Price);
SetHoldings(Symbol, -1);
//Liquidate(Symbol);
}
}
}
}
private DateTime previous;
public void OnData(TradeBars data)
{
Plot(Symbol, "Price", data[Symbol].Price);
Plot(Symbol, fast, slow);
previous = data.Time;
}
bool IsLastTradingday(TradeBar b)
{
if (b.Time.Hour == 15 && b.Time.Minute == 59)
return true;
else
return false;
} // IsLastTradingMin
}
}