Files
quantconnect--lean/Algorithm.CSharp/CustomShortableProviderRegressionAlgorithm.cs
T
Derek Melchin eefa74baaa
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Add Sortino ratio to statistics and report (#6698)
* Add Sortino ratio to statistics and report

* Adds Sortino Ratio to Report Key Statistics

* Addresses Peer-Review

Reuse `SharpeRatioReportElement` and change the template.

* Reuse Calculations Across Statistics and PortfolioStatistics

* Adds Sortino Ratio to Regression Algorithms

* Removes Sortino Ratio from Optimization Result Table

---------

Co-authored-by: Alexandre Catarino <AlexCatarino@users.noreply.github.com>
2023-12-12 21:06:13 -03:00

135 lines
4.7 KiB
C#

/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
using QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
using System;
using System.Collections.Generic;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm asserting we can specify a custom Shortable Provider
/// </summary>
public class CustomShortableProviderRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Security _spy;
private OrderTicket _orderId;
public override void Initialize()
{
SetStartDate(2013, 10, 4);
SetEndDate(2013, 10, 6);
SetCash(10000000);
_spy = AddEquity("SPY", Resolution.Daily);
_spy.SetShortableProvider(new CustomSPYShortableProvider());
}
public override void OnData(Slice slice)
{
var spyShortableQuantity = _spy.ShortableProvider.ShortableQuantity(_spy.Symbol, Time);
if (spyShortableQuantity > 1000)
{
_orderId = Sell("SPY", (int)spyShortableQuantity);
}
}
public override void OnEndOfAlgorithm()
{
var transactions = Transactions.OrdersCount;
if (transactions != 1)
{
throw new Exception($"Algorithm should have just 1 order, but was {transactions}");
}
var orderQuantity = Transactions.GetOrderById(_orderId).Quantity;
if (orderQuantity != -1001)
{
throw new Exception($"Quantity of order {_orderId} should be -1001, but was {orderQuantity}");
}
}
private class CustomSPYShortableProvider : IShortableProvider
{
public long? ShortableQuantity(Symbol symbol, DateTime localTime)
{
if (localTime < new DateTime(2013, 10, 5))
{
return 10;
}
else
{
return 1001;
}
}
}
/// <summary>
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
/// </summary>
public bool CanRunLocally { get; } = true;
/// <summary>
/// This is used by the regression test system to indicate which languages this algorithm is written in.
/// </summary>
public Language[] Languages { get; } = { Language.CSharp, Language.Python };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 17;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <summary>
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
/// </summary>
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
{
{"Total Trades", "0"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"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%"},
{"OrderListHash", "c34cd62ddcc75c256000c3c39e074281"}
};
}
}