using System.Globalization;

namespace QuantConnect {
    /*
    *   QuantConnect University: Generic data import for Quandl data
    */
    public class QuandlReader : BaseData
    {
        public decimal Open = 0;
        public decimal High = 0;
        public decimal Low = 0;
        public decimal Close = 0;
        // public decimal AdjustedClose = 0;
        // public decimal Volume = 0;

        public QuandlReader()
        {
            this.Symbol = "";
        }
        
        /// <summary>
        /// Return the URL external source for the data: QuantConnect will download it an read it line by line automatically:
        /// </summary>
        public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLive)
        {
        	this.Symbol = config.Symbol;
            var startDate = new DateTime(2000, 1, 1).ToString("yyyy-MM-dd");
            var endDate = DateTime.Now.ToString("yyyy-MM-dd");
            
            return new SubscriptionDataSource("https://www.quandl.com/api/v1/datasets/" + config.Symbol + ".csv?trim_start=" + startDate + "&trim_end=" + endDate + "&sort_order=asc&exclude_headers=true", SubscriptionTransportMedium.RemoteFile);
        }
        
        public override BaseData Clone()
        {
            QuandlReader coin = new QuandlReader();
            coin.Close = this.Close;
            coin.High = this.High;
            coin.Low = this.Low;
            coin.Open = this.Open;
            coin.Symbol = this.Symbol;
            coin.Value = this.Close;
            coin.Time = this.Time;
            return coin;
        }
        
        /// <summary>
        /// Convert each line of the file above into an object.
        /// </summary>
        public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLive)
        {
            QuandlReader bar = new QuandlReader();

            try
            {
                string[] data = line.Split(',');
                //Required.
                bar.Symbol = config.Symbol;
                bar.Time = DateTime.ParseExact(data[0], "yyyy-MM-dd", CultureInfo.InvariantCulture);
                
                //User configured / optional data on each bar:
                bar.Open = Convert.ToDecimal(data[1]);
                bar.High = Convert.ToDecimal(data[2]);
                bar.Low = Convert.ToDecimal(data[3]);
                bar.Close = Convert.ToDecimal(data[4]);
                // bar.Volume = Convert.ToDecimal(data[5]);			// We don't need volume
                // bar.AdjustedClose = Convert.ToDecimal(data[6]);	// We don't need adjusted close
                
                //This is the value the engine uses for portfolio calculations
                bar.Value = bar.Close;
                // bar.Value = bar.AdjustedClose;		// I want to the close, not adjusted close.
            }
            catch {   
            	/* Do nothing, skip first title row */
            }

            return bar;
        }
    }
}

using System;
using System.Collections;
using System.Collections.Generic; 
using QuantConnect.Securities;  
using QuantConnect.Models;   

namespace QuantConnect 
{   
    /*
    *   QuantConnect University: Importing Custom Yahoo / Google Data:
    *
    *   Quandl.com is a library and API wrapper for many data sources which makes
    *   sorting and reading the data easier.
    */

    
    public class CustomDataYahooQuandl : QCAlgorithm
    {
    	public static string indicatorOne = "YAHOO/VIX";
    	public static string indicatorTwo = "GOOG/NYSE_TKC";
    	public bool first = true;
    	
        //Initialize the data and resolution you require for your strategy:
        /// <summary>
        /// Setup the algorithm data, cash, job start end date etc:
        /// </summary>
        public override void Initialize()
        {
            SetStartDate(2000, 1, 1);
            SetEndDate(DateTime.Now);
            SetCash(25000);
            
            //Quandl Indexes 
            AddData<QuandlReader>(indicatorOne);
            AddData<QuandlReader>(indicatorTwo);
        }
        
        public void OnData(QuandlReader data)
        {
            if (!Portfolio.Invested && data.Value > 0 && data.Symbol == indicatorOne) 
            {
                var quantity = (int) (Portfolio.Cash / data.Value); 
                Order("INDEX_VIX", quantity);
            }
        }

        
        /// <summary>
        /// QC-TradeBars Data Event Handler: Not used in this strategy:
        /// </summary>
        public void OnData(TradeBars data) 
        {  
        }
    }
}