using System.Drawing;
using System.Collections.Generic;

namespace QuantConnect.Algorithm.CSharp
{

    public class MA_Crypto_MultiSymbol : QCAlgorithm
    {
		
		List<string> symbolList = new List<string>(){"ETHUSD", "LTCUSD", "BTCUSD"};
		/// List of a new class with data for each symbol: e.g. indicators
		Dictionary<string, SymbolData> DataDict = new Dictionary<string, SymbolData>();
        
        /// <summary>
        /// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
        /// </summary>
        public override void Initialize()
        {
            SetStartDate(2017, 10, 01);  //Set Start delegate
            SetEndDate(2018, 01, 31);    //Set End Date
            SetCash(10000);             //Set Strategy Cash
			SetBrokerageModel(BrokerageName.GDAX, AccountType.Cash);
			
			/// Add symbols and register their indicators
            foreach (var symbol in symbolList)
            {
            	AddCrypto(symbol, Resolution.Hour);
				var _slowEMA = EMA(symbol, 200);
				
				/// Add the data to the SymbolData List
				DataDict.Add(symbol, new SymbolData 
				{
					slowEMA = _slowEMA,
				});
            }

			/// Set warm up for indicators
			SetWarmup(200);
        }

        /// Event handler
        public override void OnData(Slice data)
        {
        	/// check if algorithm is warming up
        	if (IsWarmingUp) return;
        	
        	/// check if all indicators are ready 
        	foreach (var symbol in symbolList)
        	{
        		if (!DataDict[symbol].slowEMA.IsReady)
        		{
        			Log("Indicator not ready");
        			return;
        		}	
        	}
        }
            
        /// Class for storing data for each symbol in the SymbolDataDict
        class SymbolData
        {
        	public ExponentialMovingAverage slowEMA { get; set; }
        }
    }
}