Overall Statistics
Total Trades
0
Average Win
0%
Average Loss
0%
Compounding Annual Return
0%
Drawdown
0%
Expectancy
0
Net Profit
0%
Sharpe Ratio
0
Probabilistic Sharpe Ratio
0%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
0
Beta
0
Annual Standard Deviation
0
Annual Variance
0
Information Ratio
0
Tracking Error
0
Treynor Ratio
0
Total Fees
$0.00
namespace QuantConnect.Algorithm.CSharp
{
    public class ModulatedQuantumCoreWave : QCAlgorithm
    {
    	IEnumerable<Symbol> MyCoarseFilterFunction(IEnumerable<CoarseFundamental> coarse) {
	        var stocks = (from c in coarse
	            where c.DollarVolume > 3000000 &&
	                  c.Price > 15
	            orderby c.DollarVolume descending
	            select c.Symbol).Take(950).ToList();
	        return stocks;
	    }

        public override void Initialize()
        {
            SetStartDate(2020, 2, 25);  //Set Start Date
			SetEndDate(2020, 2, 25);
            
			UniverseSettings.Resolution = Resolution.Minute;
			AddUniverse(MyCoarseFilterFunction);
        }

        /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
        /// Slice object keyed by symbol containing the stock data
        public override void OnData(Slice data)
        {
            foreach (var item in SymbolDict) {
            	var symbol = item.Key;
            	
            	if (data.ContainsKey(symbol) == false)
	    			continue;
	    		
	    		var currentBar = data[symbol];
            	if (currentBar == null) 
            		continue;
            	
	            item.Value.lp = currentBar.Close;  // assigned value in last minute is the last price of this trading day 
            }
        }
        
        class SP {
			public string s;
			public decimal lp;
			public SP(string ls, decimal llp) {
				s = ls;
				lp = llp;
			}
		}
		
        IDictionary<string, SP> SymbolDict = new Dictionary<string, SP>();
        
        public override void OnEndOfAlgorithm() {
        	var str = "";
            foreach (var item in SymbolDict) {
            	var symbol = item.Key;
            	var lastDayClose = item.Value.lp;
            	
	        	lastDayClose = (decimal) System.Math.Round(lastDayClose, 2); 

	        	str += $"s=\"{symbol}\",p={lastDayClose}  ";
            }
        	
        	Debug($"{str}");
        }
        
        public override void OnSecuritiesChanged(SecurityChanges changes)
        {

        	foreach (var added in changes.AddedSecurities)
            {
            	var symbol = added.Symbol.Value;
            	symbol = symbol.ToUpper();
            	
            	if (SymbolDict.ContainsKey(symbol) == true) {  // already added, for table short, the same.
            		return;
            	}
            
            	AddEquity(symbol, Resolution.Minute);
            	
            	SymbolDict[symbol] = new SP(symbol, 0);
            }
        }

    }
}
/*


namespace QuantConnect.Algorithm.CSharp
{
    public class ModulatedQuantumCoreWave : QCAlgorithm
    {
    	private const int _cNumStocksSelected = 950;
    	
    	IEnumerable<Symbol> MyCoarseFilterFunction(IEnumerable<CoarseFundamental> coarse) {
	        var stocks = (from c in coarse
	            where c.DollarVolume > 3000000 &&
	                  c.Price > 15
	            orderby c.DollarVolume descending
	            select c.Symbol).Take(_cNumStocksSelected).ToList();
	        return stocks;
	    }

        public override void Initialize()
        {
            SetStartDate(2020, 2, 25);  //Set Start Date
			SetEndDate(2020, 2, 25);
            
            // AddEquity("SPY", Resolution.Minute);

			UniverseSettings.Resolution = Resolution.Minute;
			AddUniverse(MyCoarseFilterFunction);
        }

        /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
        /// Slice object keyed by symbol containing the stock data
        public override void OnData(Slice data)
        {
            // if (!Portfolio.Invested)
            // {
            //    SetHoldings(_spy, 1);
            //    Debug("Purchased Stock");
            //}
            
            foreach (var item in SymbolDict) {
            	var symbol = item.Key;
            	
            	if (data.ContainsKey(symbol) == false)
	    			continue;
	    		
	    		var currentBar = data[symbol];
            	if (currentBar == null) 
            		continue;
            	
            	if (data.Time.Hour == 16 && data.Time.Minute == 00) {
	            	item.Value.lp = currentBar.Close;
	            	//Debug($"{data.Time} - {symbol} last day close = {currentBar.Close}");
	            }
            }
            	
           //Debug($"A bar time={currentBar.Time}");
        }
        
        class SP {
			public string s;
			public decimal lp;
			public SP(string ls, decimal llp) {
				s = ls;
				lp = llp;
			}
		}
        IDictionary<string, SP> SymbolDict = new Dictionary<string, SP>();
        
        public override void OnEndOfAlgorithm() {
        	int numPerLine = 3000;
            string str = "";
            
            foreach (var item in SymbolDict) {
            	var symbol = item.Key;
            	var lastDayClose = item.Value.lp;
            	
	            if (numPerLine < 0) {
	        		Debug($"{str}");
	        		numPerLine = 3000;
	        		str = "";
	        	}
	        	
	        	//str += $"\"{symbol}\", ";
	        	// example: new symbolLastPrice{symbol="a",lastPrice=1.11m},
	        	
	        	lastDayClose = (decimal) System.Math.Round(lastDayClose, 2); 
	        	
	        	//str += $"new SP{{s=\"{symbol}\",lp={lastDayClose}m}},";
	        	
	        	str += $"s=\"{symbol}\",p={lastDayClose} ";
	        	
	        	numPerLine--;
            }
        	
        	Debug($"{str}");
        	
        }
        
        public override void OnSecuritiesChanged(SecurityChanges changes)
        {
        	//if (LiveMode) {
        	    //Debug($"OnSecuritiesChanged, RemovedSecurities: "+string.Join(",", changes.RemovedSecurities.Select(x => x.Symbol.Value)));
        		//Debug($"OnSecuritiesChanged, AddedSecurities: "+string.Join(",", changes.AddedSecurities.Select(x => x.Symbol.Value)));
        	//}
        	
        	foreach (var removed in changes.RemovedSecurities)
            {
            	var symbol = removed.Symbol.Value;

            }
            
            int numPerLine = 3000;
            string str = "";
        	foreach (var added in changes.AddedSecurities)
            {
            	var symbol = added.Symbol.Value;
            	symbol = symbol.ToUpper();
            	
            	if (SymbolDict.ContainsKey(symbol) == true) {  // already added, for table short, the same.
            		return;
            	}
            
            	var s = AddEquity(symbol, Resolution.Minute).Symbol;
            	
            	var history = History<TradeBar>(s, 1, Resolution.Daily);
            	
            	//decimal lastDayClose = 0;
            	
            	//if (history.Count() == 1) 
	            //	lastDayClose = history.Last().Close;
            
            	SymbolDict[symbol] = new SP(symbol, 0);
            	
            	/*
            	//var history = History<TradeBar>(s, 1, Resolution.Daily);
				//if (history.Count() == 1) 
	            //	lastDayClose = history.Last().Close;
	        	//else 
	           		//Debug($"Error: {symbol} history Count is not 1, but {history.Count()} instead");
            	
            	if (numPerLine < 0) {
            		Debug($"{str}");
            		numPerLine = 3000;
            		str = "";
            	}
            	
            	//str += $"\"{symbol}\", ";
            	// example: new symbolLastPrice{symbol="a",lastPrice=1.11m},
            	
            	lastDayClose = (decimal) System.Math.Round(lastDayClose, 2); 
            	
            	str += $"new SP{{s=\"{symbol}\",lp={lastDayClose}m}},";
            	
            	numPerLine--;
            	*
            }
			
			//Debug($"{str}");
        }

    }
}

*/