chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,125 @@
|
||||
/*
|
||||
* 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 System.Collections.Generic;
|
||||
using QuantConnect.Data;
|
||||
using QuantConnect.Interfaces;
|
||||
using QuantConnect.Orders;
|
||||
using QuantConnect.Orders.Slippage;
|
||||
|
||||
namespace QuantConnect.Algorithm.CSharp
|
||||
{
|
||||
public class MarketImpactSlippageModelRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
||||
{
|
||||
/// <summary>
|
||||
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
|
||||
/// </summary>
|
||||
public override void Initialize()
|
||||
{
|
||||
SetStartDate(2013, 10, 07);
|
||||
SetEndDate(2013, 10, 13);
|
||||
SetCash(10000000);
|
||||
|
||||
var spy = AddEquity("SPY", Resolution.Daily);
|
||||
var aapl = AddEquity("AAPL", Resolution.Daily);
|
||||
|
||||
spy.SetSlippageModel(new MarketImpactSlippageModel(this));
|
||||
aapl.SetSlippageModel(new MarketImpactSlippageModel(this));
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
|
||||
/// </summary>
|
||||
/// <param name="slice">Slice object keyed by symbol containing the stock data</param>
|
||||
public override void OnData(Slice slice)
|
||||
{
|
||||
SetHoldings("SPY", 0.5d);
|
||||
SetHoldings("AAPL", -0.5d);
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// OnOrderEvent is called whenever an order is updated
|
||||
/// </summary>
|
||||
/// <param name="orderEvent">Order Event</param>
|
||||
public override void OnOrderEvent(OrderEvent orderEvent)
|
||||
{
|
||||
if (orderEvent.Status == OrderStatus.Filled)
|
||||
{
|
||||
Debug($"Price: {Securities[orderEvent.Symbol].Price}, filled price: {orderEvent.FillPrice}, quantity: {orderEvent.FillQuantity}");
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/// <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 List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of all timeslices of algorithm
|
||||
/// </summary>
|
||||
public long DataPoints => 53;
|
||||
|
||||
/// <summary>
|
||||
/// Data Points count of the algorithm history
|
||||
/// </summary>
|
||||
public int AlgorithmHistoryDataPoints => 506;
|
||||
|
||||
/// <summary>
|
||||
/// Final status of the algorithm
|
||||
/// </summary>
|
||||
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
|
||||
|
||||
/// <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 Orders", "9"},
|
||||
{"Average Win", "0%"},
|
||||
{"Average Loss", "-0.04%"},
|
||||
{"Compounding Annual Return", "-93.847%"},
|
||||
{"Drawdown", "4.200%"},
|
||||
{"Expectancy", "-1"},
|
||||
{"Start Equity", "10000000"},
|
||||
{"End Equity", "9649801.20"},
|
||||
{"Net Profit", "-3.502%"},
|
||||
{"Sharpe Ratio", "-2.93"},
|
||||
{"Sortino Ratio", "-2.869"},
|
||||
{"Probabilistic Sharpe Ratio", "7.243%"},
|
||||
{"Loss Rate", "100%"},
|
||||
{"Win Rate", "0%"},
|
||||
{"Profit-Loss Ratio", "0"},
|
||||
{"Alpha", "-3.355"},
|
||||
{"Beta", "1.244"},
|
||||
{"Annual Standard Deviation", "0.306"},
|
||||
{"Annual Variance", "0.094"},
|
||||
{"Information Ratio", "-20.203"},
|
||||
{"Tracking Error", "0.142"},
|
||||
{"Treynor Ratio", "-0.722"},
|
||||
{"Total Fees", "$1859.00"},
|
||||
{"Estimated Strategy Capacity", "$470000000.00"},
|
||||
{"Lowest Capacity Asset", "AAPL R735QTJ8XC9X"},
|
||||
{"Portfolio Turnover", "21.04%"},
|
||||
{"Drawdown Recovery", "0"},
|
||||
{"OrderListHash", "fc0626f660981cb698f6a9a5d5d1389a"}
|
||||
};
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user