| Overall Statistics |
|
Total Orders 3 Average Win 0% Average Loss -21.97% Compounding Annual Return 6.808% Drawdown 33.900% Expectancy -1 Net Profit 10.527% Sharpe Ratio 0.312 Sortino Ratio 0.248 Probabilistic Sharpe Ratio 16.216% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.077 Beta 0.777 Annual Standard Deviation 0.206 Annual Variance 0.042 Information Ratio -1.075 Tracking Error 0.11 Treynor Ratio 0.083 Total Fees $46.30 Estimated Strategy Capacity $58000000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 0.54% |
#region imports
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Globalization;
using System.Drawing;
using QuantConnect;
using System.Text.RegularExpressions;
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.Algorithm.Selection;
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 QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion
namespace QuantConnect
{
public class IndexDataAlgorithm : QCAlgorithm
{
private Symbol _spy;
private ExponentialMovingAverage _emaSlow;
private ExponentialMovingAverage _emaFast;
public override void Initialize()
{
SetStartDate(2020, 1, 1);
SetEndDate(2021, 7, 8);
SetCash(1000000);
// Trade on SPY
_spy = AddEquity("SPY").Symbol;
// Use indicator for signal; but it cannot be traded
var spx = AddIndex("SPX").Symbol;
_emaFast = EMA(spx, 80, Resolution.Daily);
_emaSlow = EMA(spx, 200, Resolution.Daily);
SetWarmUp(200, Resolution.Daily);
var history = History(spx, 60, Resolution.Daily);
Debug($"We got {history.Count()} items from our history request");
}
public override void OnData(Slice slice)
{
// Warm up indicators
if (IsWarmingUp || !_emaSlow.IsReady)
{
return;
}
if (!Portfolio.Invested && _emaFast > _emaSlow)
{
SetHoldings(_spy, 1);
}
else if (_emaFast < _emaSlow)
{
Liquidate();
}
}
}
}