| Overall Statistics |
|
Total Orders 449 Average Win 1.26% Average Loss -0.64% Compounding Annual Return 209.076% Drawdown 30.600% Expectancy 0.556 Net Profit 75.511% Sharpe Ratio 2.383 Sortino Ratio 3.527 Probabilistic Sharpe Ratio 64.189% Loss Rate 47% Win Rate 53% Profit-Loss Ratio 1.95 Alpha 2.143 Beta -1.261 Annual Standard Deviation 0.776 Annual Variance 0.602 Information Ratio 2.01 Tracking Error 0.804 Treynor Ratio -1.467 Total Fees $723.37 Estimated Strategy Capacity $40000000.00 Lowest Capacity Asset MEDS XC03HZ3KX3L1 Portfolio Turnover 24.51% |
#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.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
using QuantConnect.DataSource;
namespace QuantConnect
{
public class MorningStarDataAlgorithm : QCAlgorithm
{
private int _universeSize = 10;
private SecurityChanges _changes = SecurityChanges.None;
public override void Initialize()
{
SetStartDate(2021, 1, 1);
SetEndDate(2021, 7, 1);
SetCash(100000);
// Requesting data
UniverseSettings.Resolution = Resolution.Daily;
AddUniverse(FundamentalSelectionFunction);
}
public IEnumerable<Symbol> FundamentalSelectionFunction(IEnumerable<Fundamental> fundamental)
{
return fundamental
.Where(x => x.HasFundamentalData && x.Price > 1 && !Double.IsNaN(x.ValuationRatios.PERatio))
.OrderByDescending(x => x.DollarVolume)
.Take(100)
.OrderByDescending(x => x.ValuationRatios.PERatio)
.Take(_universeSize)
.Select(x => x.Symbol);
}
public override void OnData(Slice slice)
{
// if we have no changes, do nothing
if (_changes == SecurityChanges.None) return;
// liquidate removed securities
foreach (var security in _changes.RemovedSecurities)
{
if (security.Invested)
{
Liquidate(security.Symbol);
}
}
// we want 1/N allocation in each security in our universe
foreach (var security in _changes.AddedSecurities)
{
SetHoldings(security.Symbol, 1m / _universeSize);
}
_changes = SecurityChanges.None;
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
_changes = changes;
foreach (var security in changes.AddedSecurities)
{
// Historical data
var history = History(security.Symbol, 7, Resolution.Daily);
Debug($"We got {history.Count()} from our history request for {security.Symbol}");
}
}
}
}