/*
* 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.Orders;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
///
/// This regression algorithm tests Out of The Money (OTM) index option expiry for calls.
/// We expect 2 orders from the algorithm, which are:
///
/// * Initial entry, buy SPX Call Option (expiring OTM)
/// - contract expires worthless, not exercised, so never opened a position in the underlying
///
/// * Liquidation of worthless SPX call option (expiring OTM)
///
/// Additionally, we test delistings for index options and assert that our
/// portfolio holdings reflect the orders the algorithm has submitted.
///
///
/// Total Trades in regression algorithm should be 1, but expiration is counted as a trade.
/// See related issue: https://github.com/QuantConnect/Lean/issues/4854
///
public class IndexOptionCallOTMExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _spx;
private Symbol _spxOption;
private int _optionOrders;
private Symbol _expectedContract;
protected virtual Resolution Resolution => Resolution.Minute;
public override void Initialize()
{
SetStartDate(2021, 1, 4);
SetEndDate(2021, 1, 31);
_spx = AddIndex("SPX", Resolution).Symbol;
// Select a index option call expiring OTM, and adds it to the algorithm.
_spxOption = AddIndexOptionContract(OptionChain(_spx)
.Where(x => x.ID.StrikePrice >= 4250m && x.ID.OptionRight == OptionRight.Call && x.ID.Date.Year == 2021 && x.ID.Date.Month == 1)
.OrderBy(x => x.ID.StrikePrice)
.Take(1)
.Single(), Resolution).Symbol;
_expectedContract = QuantConnect.Symbol.CreateOption(_spx, Market.USA, OptionStyle.European, OptionRight.Call, 4250m, new DateTime(2021, 1, 15));
if (_spxOption != _expectedContract)
{
throw new RegressionTestException($"Contract {_expectedContract} was not found in the chain");
}
Schedule.On(DateRules.Tomorrow, TimeRules.AfterMarketOpen(_spx, 1), () =>
{
MarketOrder(_spxOption, 1);
});
}
public override void OnData(Slice slice)
{
// Assert delistings, so that we can make sure that we receive the delisting warnings at
// the expected time. These assertions detect bug #4872
foreach (var delisting in slice.Delistings.Values)
{
if (delisting.Type == DelistingType.Warning)
{
if (delisting.Time != new DateTime(2021, 1, 15))
{
throw new RegressionTestException($"Delisting warning issued at unexpected date: {delisting.Time}");
}
}
if (delisting.Type == DelistingType.Delisted)
{
if (delisting.Time != new DateTime(2021, 1, 16))
{
throw new RegressionTestException($"Delisting happened at unexpected date: {delisting.Time}");
}
}
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
if (orderEvent.Status != OrderStatus.Filled)
{
// There's lots of noise with OnOrderEvent, but we're only interested in fills.
return;
}
if (!Securities.ContainsKey(orderEvent.Symbol))
{
throw new RegressionTestException($"Order event Symbol not found in Securities collection: {orderEvent.Symbol}");
}
var security = Securities[orderEvent.Symbol];
if (security.Symbol == _spx)
{
throw new RegressionTestException("Invalid state: did not expect a position for the underlying to be opened, since this contract expires OTM");
}
if (security.Symbol == _expectedContract)
{
AssertIndexOptionContractOrder(orderEvent, security);
}
else
{
throw new RegressionTestException($"Received order event for unknown Symbol: {orderEvent.Symbol}");
}
Log($"{orderEvent}");
}
private void AssertIndexOptionContractOrder(OrderEvent orderEvent, Security option)
{
if (orderEvent.Direction == OrderDirection.Buy && option.Holdings.Quantity != 1)
{
throw new RegressionTestException($"No holdings were created for option contract {option.Symbol}");
}
if (orderEvent.Direction == OrderDirection.Sell && option.Holdings.Quantity != 0)
{
throw new RegressionTestException("Holdings were found after a filled option exercise");
}
if (orderEvent.Direction == OrderDirection.Sell && !orderEvent.Message.Contains("OTM"))
{
throw new RegressionTestException("Contract did not expire OTM");
}
if (orderEvent.Message.Contains("Exercise"))
{
throw new RegressionTestException("Exercised option, even though it expires OTM");
}
_optionOrders++;
}
///
/// Ran at the end of the algorithm to ensure the algorithm has no holdings
///
/// The algorithm has holdings
public override void OnEndOfAlgorithm()
{
if (Portfolio.Invested)
{
throw new RegressionTestException($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}");
}
if (_optionOrders != 2)
{
throw new RegressionTestException("Option orders were not as expected!");
}
}
///
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
///
public bool CanRunLocally { get; } = true;
///
/// This is used by the regression test system to indicate which languages this algorithm is written in.
///
public virtual List Languages { get; } = new() { Language.CSharp, Language.Python };
///
/// Data Points count of all timeslices of algorithm
///
public virtual long DataPoints => 15941;
///
/// Data Points count of the algorithm history
///
public virtual int AlgorithmHistoryDataPoints => 1;
///
/// Final status of the algorithm
///
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
///
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
///
public virtual Dictionary ExpectedStatistics => new Dictionary
{
{"Total Orders", "2"},
{"Average Win", "0%"},
{"Average Loss", "-0.01%"},
{"Compounding Annual Return", "-0.142%"},
{"Drawdown", "0.000%"},
{"Expectancy", "-1"},
{"Start Equity", "100000"},
{"End Equity", "99990"},
{"Net Profit", "-0.010%"},
{"Sharpe Ratio", "-15.959"},
{"Sortino Ratio", "-124989.863"},
{"Probabilistic Sharpe Ratio", "0.015%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "-0.004"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "-0.334"},
{"Tracking Error", "0.138"},
{"Treynor Ratio", "-32.969"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$22000.00"},
{"Lowest Capacity Asset", "SPX XL80P59H5E6M|SPX 31"},
{"Portfolio Turnover", "0.00%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "adfa67772fb1a7f40d65922cbe180c8e"}
};
}
}