| 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 -1.025 Tracking Error 0.103 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 log4net.Config;
#endregion
public class MyAlgorithm : QCAlgorithm
{
public override void Initialize()
{
UniverseSettings.Resolution = Resolution.Daily;
SetStartDate(2017, 07, 06);
SetEndDate(2018, 07, 04);
AddUniverse<StockDataSource>(FilterFunction);
}
private IEnumerable<Symbol> FilterFunction(IEnumerable<BaseData> data)
{
var stockDataSource = data.OfType<StockDataSource>();
return stockDataSource.SelectMany(x => x.Symbols);
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
Debug(changes.ToString());
}
}
public class StockDataSource : BaseData
{
public List<Symbol> Symbols { get; set; } = [];
public override DateTime EndTime => Time.AddDays(1);
public string Line { get; set; }
public override SubscriptionDataSource GetSource(
SubscriptionDataConfig config,
DateTime date,
bool isLiveMode)
{
// if (!isLiveMode)
// {
// return new SubscriptionDataSource("<CustomUniverseKey>", SubscriptionTransportMedium.ObjectStore, FileFormat.Csv);
// }
return new SubscriptionDataSource("https://raw.githubusercontent.com/QuantConnect/Documentation/master/Resources/datasets/custom-data/csv-universe-example.csv", SubscriptionTransportMedium.RemoteFile, FileFormat.Csv);
}
public override BaseData Reader(
SubscriptionDataConfig config,
string line,
DateTime date,
bool isLiveMode)
{
var csv = line.Split(',');
var stocks = new StockDataSource { Symbol = config.Symbol, Line = line };
try
{
stocks.Time = DateTime.ParseExact(csv[0], "yyyyMMdd", null);
stocks.Symbols.AddRange(csv.Skip(1).Select(ticker =>
{
// The tickers are point-in-time. We generate its security identifier for a given date
// Then we create a Symbol where the Value is the ticker
var sid = SecurityIdentifier.GenerateEquity(ticker, Market.USA, mappingResolveDate: stocks.Time);
return new Symbol(sid, ticker);
}));
}
catch { }
return stocks;
}
}