| 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 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 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 Accord.Math;
#endregion
namespace QuantConnect.Algorithm.CSharp
{
public class VirtualGreenEagle : QCAlgorithm
{
public override void Initialize()
{
SetStartDate(2025, 6, 10);
SetEndDate(2025, 6, 11);
AddUniverse(Selection);
}
private IEnumerable<Symbol> Selection(IEnumerable<Fundamental> fundamentals)
{
var period = 100;
var adxBySymbol = fundamentals
.Where(x => x.Price > 5 && x.MarketCap > 0)
.OrderBy(x => x.AdjustedPrice).Take(1000)
.ToDictionary(x => x.Symbol, y => new AverageDirectionalIndex(period));
var warmUpPeriod = (int)(1.2 * adxBySymbol.First().Value.WarmUpPeriod);
// Daily resolution history requests for 1000 equity won't timeout using
// QuantConnect data provider
var history = History<TradeBar>(adxBySymbol.Keys, warmUpPeriod, Resolution.Daily);
foreach(var bars in history)
{
bars.DoForEach(kvp => adxBySymbol[kvp.Key].Update(kvp.Value));
}
var selected = adxBySymbol
.Where(x => x.Value.IsReady)
.OrderByDescending(x => x.Value)
.Take(10)
.ToHashSet(x => x.Key);
var message = string.Join(",", selected.Select(x => adxBySymbol[x]));
Log(message);
return selected;
}
}
}