Overall Statistics
Total Trades
646
Average Win
1.65%
Average Loss
-0.61%
Compounding Annual Return
2452.904%
Drawdown
6.600%
Expectancy
0.570
Net Profit
190.556%
Sharpe Ratio
6.272
Loss Rate
58%
Win Rate
42%
Profit-Loss Ratio
2.73
Alpha
2.788
Beta
-0.369
Annual Standard Deviation
0.441
Annual Variance
0.195
Information Ratio
5.605
Tracking Error
0.484
Treynor Ratio
-7.491
Total Fees
$2791.48
  //Copyright Warren Harding 2016.
//Granted to the public domain.
//Use entirely at your own risk.
//Custom algorithm development: warrencharding@yahoo.com.
//Do not remove this copyright notice.

using System;
using System.Collections.Generic;
using QuantConnect.Data.Market;
using QuantConnect.Orders;
using QuantConnect.Orders.Fees;
using QuantConnect.Orders.Fills;
using QuantConnect.Orders.Slippage;
using QuantConnect.Securities;


namespace QuantConnect
{
    public class Algo3 : QCAlgorithm
    {
		int MompPeriod = 30;
		decimal momentumCutoff = -10;
    	decimal ratioOfLastMinuteForMaxTrade =0.05m;
        TradeBars lastData = null;
        int quantity = 0;
        TradeBar lastBar = null;
        decimal minimumPurchase = 500m;
        Dictionary<string,MomentumPercent> moms=new Dictionary<string,MomentumPercent>();
        public override void Initialize()
        {
            //Start and End Date range for the backtest:
            //SetStartDate(2015, 1, 1);
            //SetEndDate(DateTime.Now.Date.AddDays(-1));

            SetStartDate(2016, 1, 1);
			SetEndDate(2016, 5, 1);

            SetCash(25000);
            

			//volatile etf's
			string tickersString="UVXY,XIV,NUGT,DUST,JNUG,JDUST,LABU,LABD,GUSH,DRIP,TVIX,GASL,GASX,DWTI,UWTI,DGAZ,UGAZ,UBIO,ZBIO,BRZU,RUSS,SCO,UCO,RUSL,ERY,ERX,BIOL,SVXY,VXX,SILJ,BIB,BIS,VIXY,SOXL,VIIX,SOXS,BZQ,USLV,SLVP,DSLV,GDXJ,GLDX";

			//gold
			//string tickersString="NUGT,DUST,JNUG,JDUST";

			//68 biggest companies ranked by market cap.
			//string tickersString="AAPL,GOOGL,GOOG,MSFT,XOM,BRK.A,BRK.B,FB,AMZN,JNJ,GE,WFC,T,NSRGY,CHL,JPM,RHHBY,PG,RDS.B,RDS.A,WMT,VZ,PFE,BUD,KO,BABA,CVX,TCEHY,SPY,NVS,V,DIS,HD,ORCL,TM,SSNLF,PM,MRK,BAC,PEP,CMCSA,NVO,INTC,IBM,CSCO,C,PTR,HSBC,UNH,MO,TSM,BMY,GILD,AMGN,TOT,SLB,RLNIY,MCD,MDT,CVS,MA,SNY,GSK,BTI,BP,LRLCY,MMM,IDEXY";
			
			string[] tickers = tickersString.Split(new string[1] { "," }, StringSplitOptions.RemoveEmptyEntries);
			foreach (string ticker in tickers)
			{
				AddSecurity(SecurityType.Equity,ticker,Resolution.Minute);
			}

            foreach (Security s in Securities.Values)
            {
            	s.FeeModel=new CustomFeeModel();
            	moms.Add(s.Symbol,MOMP(s.Symbol,MompPeriod));
            }
        }
		
        public void OnData(TradeBars data)
        {
            decimal maxTrade;
            if (lastData != null)
            {
                foreach (TradeBar bar in data.Values)
                {
                    if (Portfolio.Cash < minimumPurchase)
                    {
                        break;
                    }
                    if (!Portfolio[bar.Symbol].HoldStock)
                    {
                        if (lastData.ContainsKey(bar.Symbol))
                        {
                        	
                            Debug("Before variables - Section 1");

							Debug("Symbol" + bar.Symbol);
                            Debug("Bar Close" + bar.Close.ToString());
                            Debug("Bar Volume" + bar.Volume.ToString());
                            Debug("Ratio" + ratioOfLastMinuteForMaxTrade.ToString());
							Debug("Portfolio Cash" + Portfolio.Cash.ToString());
							
                            maxTrade = bar.Close * bar.Volume / ratioOfLastMinuteForMaxTrade;
                            Debug("MaxTrade" + maxTrade.ToString());
                            
                            quantity =(int)Math.Floor(Math.Min(Portfolio.Cash, maxTrade) / bar.Close);

                            Debug("Quantity" + (Portfolio.Cash/bar.Close).ToString());
                            //quantity = (int)(Portfolio.Cash/bar.Close);
                            
                            lastBar = lastData[bar.Symbol];
                            
                            Debug("Lastbar" + lastBar.ToString());
                            Debug("minimumPurchase" + minimumPurchase.ToString());
                            
                            Debug("moms[bar.Symbol]" + moms[bar.Symbol].ToString());
                            Debug("momentumCutoff" + momentumCutoff.ToString());
                            Debug("lastBar.Close" + lastBar.Close.ToString());
                            
                            
                            //Why the code keep failing... 
                            if (quantity * bar.Close > minimumPurchase & quantity > 0)
                            {
                            	Debug("Prior buying ");
                                if (moms[bar.Symbol] < momentumCutoff & bar.Close>lastBar.Close)
                                {
                                	Debug("Order Prior Execution - Symbol: " + bar.Symbol);
                                	Debug("Order Prior Execution - Qtt:  " + quantity.ToString());
                                    Order(bar.Symbol, quantity);
                                }
                            }
                            Debug("After Buying");
                        }

                    }
                }
                TradeBar bar2;
                foreach (SecurityHolding stock in Portfolio.Values)
                {
                    if (Portfolio[stock.Symbol].Quantity > 0 & lastData.ContainsKey(stock.Symbol) & Portfolio.ContainsKey(stock.Symbol) & data.ContainsKey(stock.Symbol))
                    {
                    	
                    	Debug("Before variables - Section 2");

                        
                        
                        lastBar = lastData[stock.Symbol];
                        bar2 = data[stock.Symbol];
                        
                        Debug("Bar2 Close" + bar2.Close.ToString());
                        Debug("LastBar Close" + lastBar.Close.ToString());
                        
                        if (bar2.Close < lastBar.Close)
                        {
                            Order(stock.Symbol, -Portfolio[stock.Symbol].Quantity);
                        }
                    }
                }
            }
            lastData = data;
        }
    }
    
    
    public class CustomFeeModel : IFeeModel
    {
        public decimal GetOrderFee(Security security, Order order)
        {
            var fee = order.AbsoluteQuantity*0.01m;
            if (fee<5)
            {
            	fee=5;
            }
            if (fee>10)
            {
            	fee=10;
            }
            return fee/2m;
        }
    }
}