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
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/*
* 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 System.Linq;
using QuantConnect.Data;
using QuantConnect.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Demonstration of the Option Chain Provider -- a much faster mechanism for manually specifying the option contracts you'd like to receive
/// data for and manually subscribing to them.
/// </summary>
/// <meta name="tag" content="strategy example" />
/// <meta name="tag" content="options" />
/// <meta name="tag" content="using data" />
/// <meta name="tag" content="selecting options" />
/// <meta name="tag" content="manual selection" />
public class OptionChainProviderAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _equitySymbol;
private Symbol _optionContract = string.Empty;
private readonly HashSet<Symbol> _contractsAdded = new HashSet<Symbol>();
public override void Initialize()
{
SetStartDate(2015, 12, 24);
SetEndDate(2015, 12, 24);
SetCash(100000);
var equity = AddEquity("GOOG", Resolution.Minute);
equity.SetDataNormalizationMode(DataNormalizationMode.Raw);
_equitySymbol = equity.Symbol;
}
public override void OnData(Slice slice)
{
if (!Portfolio[_equitySymbol].Invested)
{
MarketOrder(_equitySymbol, 100);
}
if (!(Securities.ContainsKey(_optionContract) && Portfolio[_optionContract].Invested))
{
var contracts = OptionChainProvider.GetOptionContractList(_equitySymbol, slice.Time);
var underlyingPrice = Securities[_equitySymbol].Price;
// filter the out-of-money call options from the contract list which expire in 10 to 30 days from now on
var otmCalls = (from symbol in contracts
where symbol.ID.OptionRight == OptionRight.Call
where symbol.ID.StrikePrice - underlyingPrice > 0
where ((symbol.ID.Date - slice.Time).TotalDays < 30 && (symbol.ID.Date - slice.Time).TotalDays > 10)
select symbol);
if (otmCalls.Count() != 0)
{
_optionContract = otmCalls.OrderBy(x => x.ID.Date)
.ThenBy(x => (x.ID.StrikePrice - underlyingPrice))
.FirstOrDefault();
if (_contractsAdded.Add(_optionContract))
{
// use AddOptionContract() to subscribe the data for specified contract
AddOptionContract(_optionContract, Resolution.Minute);
}
}
else _optionContract = string.Empty;
}
if (Securities.ContainsKey(_optionContract) && !Portfolio[_optionContract].Invested)
{
MarketOrder(_optionContract, -1);
}
}
/// <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 => 881;
/// <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", "2"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "99890"},
{"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", "$2.00"},
{"Estimated Strategy Capacity", "$6300000.00"},
{"Lowest Capacity Asset", "GOOCV W723A0UBBS5I|GOOCV VP83T1ZUHROL"},
{"Portfolio Turnover", "76.04%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "20963045be4abe2ce837a0261329462d"}
};
}
}