Overall Statistics
Total Trades
4
Average Win
0%
Average Loss
0%
Compounding Annual Return
-0.035%
Drawdown
0.400%
Expectancy
0
Net Profit
-0.053%
Sharpe Ratio
-0.121
Probabilistic Sharpe Ratio
4.836%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
-0.001
Beta
0.012
Annual Standard Deviation
0.002
Annual Variance
0
Information Ratio
-0.275
Tracking Error
0.151
Treynor Ratio
-0.021
Total Fees
$4.00
Estimated Strategy Capacity
$22000000000.00
Lowest Capacity Asset
BND TRO5ZARLX6JP
#region imports
    using System;
    using System.Collections;
    using System.Collections.Generic;
    using System.Linq;
    using System.Globalization;
    using System.Drawing;
    using QuantConnect;
    using QuantConnect.Algorithm.Framework;
    using QuantConnect.Algorithm.Framework.Selection;
    using QuantConnect.Algorithm.Framework.Alphas;
    using QuantConnect.Algorithm.Framework.Portfolio;
    using QuantConnect.Algorithm.Framework.Execution;
    using QuantConnect.Algorithm.Framework.Risk;
    using QuantConnect.Parameters;
    using QuantConnect.Benchmarks;
    using QuantConnect.Brokerages;
    using QuantConnect.Util;
    using QuantConnect.Interfaces;
    using QuantConnect.Algorithm;
    using QuantConnect.Indicators;
    using QuantConnect.Data;
    using QuantConnect.Data.Consolidators;
    using QuantConnect.Data.Custom;
    using QuantConnect.DataSource;
    using QuantConnect.Data.Fundamental;
    using QuantConnect.Data.Market;
    using QuantConnect.Data.UniverseSelection;
    using QuantConnect.Notifications;
    using QuantConnect.Orders;
    using QuantConnect.Orders.Fees;
    using QuantConnect.Orders.Fills;
    using QuantConnect.Orders.Slippage;
    using QuantConnect.Scheduling;
    using QuantConnect.Securities;
    using QuantConnect.Securities.Equity;
    using QuantConnect.Securities.Future;
    using QuantConnect.Securities.Option;
    using QuantConnect.Securities.Forex;
    using QuantConnect.Securities.Crypto;   
    using QuantConnect.Securities.Interfaces;
    using QuantConnect.Storage;
    using QuantConnect.Data.Custom.AlphaStreams;
    using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
    using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion
namespace QuantConnect.Algorithm.CSharp
{
    public class FocusedVioletKitten : QCAlgorithm
    {
        private int _numOpenPositions = 0, _maxOpenPositions = 4;


        public override void Initialize()
        {
            SetStartDate(2021, 3, 13);  //Set Start Date
            SetCash(100000);             //Set Strategy Cash

            var tickers = new[] {"SPY", "BND", "AAPL", "TSLA", "MSFT", "META"};
            foreach (var ticker in tickers)
            {
                AddEquity(ticker, Resolution.Daily);
            }
        }

        /// 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 symbol in Portfolio.Keys)
            {
                if (_numOpenPositions < _maxOpenPositions)
                {
                    MarketOrder(symbol, 1);
                    _numOpenPositions++;
                }
            }
        }
    }
}