* Refactor user define universe handling - Normalize user define universe additions and removals to behave like other subscriptions without requiting special handling * Minor fixes
230 lines
9.2 KiB
C#
230 lines
9.2 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using QuantConnect.Data;
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using QuantConnect.Interfaces;
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using QuantConnect.Orders;
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using QuantConnect.Securities;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// This regression algorithm tests Out of The Money (OTM) index option expiry for calls.
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/// We expect 2 orders from the algorithm, which are:
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///
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/// * Initial entry, buy SPX Call Option (expiring OTM)
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/// - contract expires worthless, not exercised, so never opened a position in the underlying
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///
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/// * Liquidation of worthless SPX call option (expiring OTM)
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///
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/// Additionally, we test delistings for index options and assert that our
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/// portfolio holdings reflect the orders the algorithm has submitted.
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/// </summary>
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/// <remarks>
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/// Total Trades in regression algorithm should be 1, but expiration is counted as a trade.
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/// See related issue: https://github.com/QuantConnect/Lean/issues/4854
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/// </remarks>
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public class IndexOptionCallOTMExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private Symbol _spx;
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private Symbol _spxOption;
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private int _optionOrders;
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private Symbol _expectedContract;
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protected virtual Resolution Resolution => Resolution.Minute;
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public override void Initialize()
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{
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SetStartDate(2021, 1, 4);
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SetEndDate(2021, 1, 31);
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_spx = AddIndex("SPX", Resolution).Symbol;
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// Select a index option call expiring OTM, and adds it to the algorithm.
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_spxOption = AddIndexOptionContract(OptionChain(_spx)
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.Where(x => x.ID.StrikePrice >= 4250m && x.ID.OptionRight == OptionRight.Call && x.ID.Date.Year == 2021 && x.ID.Date.Month == 1)
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.OrderBy(x => x.ID.StrikePrice)
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.Take(1)
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.Single(), Resolution).Symbol;
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_expectedContract = QuantConnect.Symbol.CreateOption(_spx, Market.USA, OptionStyle.European, OptionRight.Call, 4250m, new DateTime(2021, 1, 15));
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if (_spxOption != _expectedContract)
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{
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throw new RegressionTestException($"Contract {_expectedContract} was not found in the chain");
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}
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Schedule.On(DateRules.Tomorrow, TimeRules.AfterMarketOpen(_spx, 1), () =>
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{
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MarketOrder(_spxOption, 1);
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});
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}
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public override void OnData(Slice slice)
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{
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// Assert delistings, so that we can make sure that we receive the delisting warnings at
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// the expected time. These assertions detect bug #4872
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foreach (var delisting in slice.Delistings.Values)
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{
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if (delisting.Type == DelistingType.Warning)
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{
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if (delisting.Time != new DateTime(2021, 1, 15))
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{
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throw new RegressionTestException($"Delisting warning issued at unexpected date: {delisting.Time}");
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}
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}
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if (delisting.Type == DelistingType.Delisted)
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{
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if (delisting.Time != new DateTime(2021, 1, 16))
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{
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throw new RegressionTestException($"Delisting happened at unexpected date: {delisting.Time}");
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}
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}
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}
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}
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public override void OnOrderEvent(OrderEvent orderEvent)
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{
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if (orderEvent.Status != OrderStatus.Filled)
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{
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// There's lots of noise with OnOrderEvent, but we're only interested in fills.
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return;
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}
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if (!Securities.ContainsKey(orderEvent.Symbol))
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{
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throw new RegressionTestException($"Order event Symbol not found in Securities collection: {orderEvent.Symbol}");
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}
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var security = Securities[orderEvent.Symbol];
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if (security.Symbol == _spx)
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{
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throw new RegressionTestException("Invalid state: did not expect a position for the underlying to be opened, since this contract expires OTM");
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}
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if (security.Symbol == _expectedContract)
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{
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AssertIndexOptionContractOrder(orderEvent, security);
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}
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else
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{
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throw new RegressionTestException($"Received order event for unknown Symbol: {orderEvent.Symbol}");
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}
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Log($"{orderEvent}");
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}
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private void AssertIndexOptionContractOrder(OrderEvent orderEvent, Security option)
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{
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if (orderEvent.Direction == OrderDirection.Buy && option.Holdings.Quantity != 1)
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{
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throw new RegressionTestException($"No holdings were created for option contract {option.Symbol}");
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}
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if (orderEvent.Direction == OrderDirection.Sell && option.Holdings.Quantity != 0)
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{
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throw new RegressionTestException("Holdings were found after a filled option exercise");
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}
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if (orderEvent.Direction == OrderDirection.Sell && !orderEvent.Message.Contains("OTM"))
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{
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throw new RegressionTestException("Contract did not expire OTM");
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}
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if (orderEvent.Message.Contains("Exercise"))
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{
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throw new RegressionTestException("Exercised option, even though it expires OTM");
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}
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_optionOrders++;
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}
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/// <summary>
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/// Ran at the end of the algorithm to ensure the algorithm has no holdings
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/// </summary>
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/// <exception cref="RegressionTestException">The algorithm has holdings</exception>
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public override void OnEndOfAlgorithm()
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{
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if (Portfolio.Invested)
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{
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throw new RegressionTestException($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}");
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}
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if (_optionOrders != 2)
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{
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throw new RegressionTestException("Option orders were not as expected!");
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}
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}
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/// <summary>
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/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
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/// </summary>
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public bool CanRunLocally { get; } = true;
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public virtual List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
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/// <summary>
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/// Data Points count of all timeslices of algorithm
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/// </summary>
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public virtual long DataPoints => 15942;
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/// <summary>
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/// Data Points count of the algorithm history
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/// </summary>
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public virtual int AlgorithmHistoryDataPoints => 1;
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Orders", "2"},
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{"Average Win", "0%"},
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{"Average Loss", "-0.01%"},
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{"Compounding Annual Return", "-0.142%"},
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{"Drawdown", "0.000%"},
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{"Expectancy", "-1"},
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{"Start Equity", "100000"},
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{"End Equity", "99990"},
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{"Net Profit", "-0.010%"},
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{"Sharpe Ratio", "-15.959"},
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{"Sortino Ratio", "-124989.863"},
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{"Probabilistic Sharpe Ratio", "0.015%"},
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{"Loss Rate", "100%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "-0.004"},
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{"Beta", "0"},
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{"Annual Standard Deviation", "0"},
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{"Annual Variance", "0"},
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{"Information Ratio", "-0.334"},
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{"Tracking Error", "0.138"},
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{"Treynor Ratio", "-32.969"},
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{"Total Fees", "$0.00"},
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{"Estimated Strategy Capacity", "$22000.00"},
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{"Lowest Capacity Asset", "SPX XL80P59H5E6M|SPX 31"},
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{"Portfolio Turnover", "0.00%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "adfa67772fb1a7f40d65922cbe180c8e"}
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};
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}
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}
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