chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:02:50 +08:00
commit 0fc60fdcb1
5008 changed files with 910633 additions and 0 deletions
@@ -0,0 +1,128 @@
/*
* 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;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm illustrating the usage of the <see cref="QCAlgorithm.OptionChain(Symbol)"/> method
/// to get an option chain, which contains additional data besides the symbols, including prices, implied volatility and greeks.
/// It also shows how this data can be used to filter the contracts based on certain criteria.
/// </summary>
public class OptionChainFullDataRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _optionContract;
public override void Initialize()
{
SetStartDate(2015, 12, 24);
SetEndDate(2015, 12, 24);
SetCash(100000);
var goog = AddEquity("GOOG").Symbol;
_optionContract = OptionChain(goog)
// Get contracts expiring within 10 days, with an implied volatility greater than 0.5 and a delta less than 0.5
.Where(contractData => contractData.ID.Date - Time <= TimeSpan.FromDays(10) &&
contractData.ImpliedVolatility > 0.5m &&
contractData.Greeks.Delta < 0.5m)
// Get the contract with the latest expiration date
.OrderByDescending(x => x.ID.Date)
.First();
AddOptionContract(_optionContract);
}
public override void OnData(Slice slice)
{
// Do some trading with the selected contract for sample purposes
if (!Portfolio.Invested)
{
MarketOrder(_optionContract, 1);
}
else
{
Liquidate();
}
}
/// <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 virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 1057;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 1;
/// <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", "210"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "96041"},
{"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", "$209.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", "GOOCV W6U7PD1F77AE|GOOCV VP83T1ZUHROL"},
{"Portfolio Turnover", "85.46%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "8ee1c7a1574ae0ad6f231ad0b7d15310"}
};
}
}