| Overall Statistics |
|
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 100000 Net Profit 0% Sharpe Ratio 0 Sortino 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 -0.516 Tracking Error 0.21 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 0% Drawdown Recovery 0 |
#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.Portfolio.SignalExports;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Risk;
using QuantConnect.Algorithm.Selection;
using QuantConnect.Api;
using QuantConnect.Parameters;
using QuantConnect.Benchmarks;
using QuantConnect.Brokerages;
using QuantConnect.Commands;
using QuantConnect.Configuration;
using QuantConnect.Util;
using QuantConnect.Interfaces;
using QuantConnect.Algorithm;
using QuantConnect.Indicators;
using QuantConnect.Data;
using QuantConnect.Data.Auxiliary;
using QuantConnect.Data.Consolidators;
using QuantConnect.Data.Custom;
using QuantConnect.Data.Custom.IconicTypes;
using QuantConnect.DataSource;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.Shortable;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Notifications;
using QuantConnect.Orders;
using QuantConnect.Orders.Fees;
using QuantConnect.Orders.Fills;
using QuantConnect.Orders.OptionExercise;
using QuantConnect.Orders.Slippage;
using QuantConnect.Orders.TimeInForces;
using QuantConnect.Python;
using QuantConnect.Scheduling;
using QuantConnect.Securities;
using QuantConnect.Securities.Equity;
using QuantConnect.Securities.Future;
using QuantConnect.Securities.Option;
using QuantConnect.Securities.Positions;
using QuantConnect.Securities.Forex;
using QuantConnect.Securities.Crypto;
using QuantConnect.Securities.CryptoFuture;
using QuantConnect.Securities.IndexOption;
using QuantConnect.Securities.Interfaces;
using QuantConnect.Securities.Volatility;
using QuantConnect.Storage;
using QuantConnect.Statistics;
using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
using Calendar = QuantConnect.Data.Consolidators.Calendar;
using QLNet;
#endregion
using System.Diagnostics;
namespace QuantConnect.Algorithm.CSharp
{
public class DeterminedBrownBison : QCAlgorithm
{
private const int NumberOfEquities = 10;
private const int NumberOfOptions = 5;
private Stopwatch _timer;
private long _weeklyDataCount;
private long _totalDataPoints;
private decimal _avgRam;
private int _totalSamples;
public override void Initialize()
{
SetStartDate(2025, 01, 01);
SetEndDate(2025, 07, 01);
UniverseSettings.Resolution = Resolution.Minute;
UniverseSettings.Asynchronous = true;
var asyncStr = UniverseSettings.Asynchronous != null && UniverseSettings.Asynchronous.Value ? "" : "non";
SetName($"{UniverseSettings.Resolution} {NumberOfEquities} E {NumberOfOptions} O {asyncStr} async selection");
var universe = AddUniverse(CoarseSelectionFunction);
AddUniverseOptions(universe, u =>
{
return u
.Expiration(0, 120)
.Strikes(-5, +5)
.Contracts(u.OrderBy(x => Math.Abs(x.Underlying.Price - x.ID.StrikePrice)).Take(NumberOfOptions));
});
Schedule.On(DateRules.Every(DayOfWeek.Wednesday), TimeRules.Noon, SampleMetrics);
}
public IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse)
{
// sort descending by daily dollar volume
var sortedByDollarVolume = coarse.OrderByDescending(x => x.DollarVolume);
// take the top entries from our sorted collection
var top = sortedByDollarVolume.Take(NumberOfEquities);
// we need to return only the symbol objects
var result = top.Select(x => x.Symbol);
return result;
}
private void SampleMetrics()
{
if (_timer == null)
{
_timer = new Stopwatch();
}
else
{
// Processing time
Plot("Weekly Processing Time", "Weekly Processing Time (s)", _timer.Elapsed.TotalSeconds);
}
// Data count
Plot("Weekly Data Count", "Weekly Data Count", Convert.ToDecimal(_weeklyDataCount));
_weeklyDataCount = 0;
// Active securities
Plot("Active Securities", "Active Securities", ActiveSecurities.Count);
// Ram usage
var memoryUsage = GC.GetTotalMemory(true) * 1e-6m;
_avgRam += memoryUsage;
_totalSamples++;
Plot("Memory Usage", "Memory Usage", memoryUsage);
_timer.Restart();
}
public override void OnData(Slice slice)
{
_weeklyDataCount += slice.AllData.Count;
_totalDataPoints += slice.AllData.Count;
}
public override void OnEndOfAlgorithm()
{
Debug($"Total data points: {_totalDataPoints}");
Debug($"Avg ram usage: {Math.Round(_avgRam / _totalSamples)}");
}
}
}