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FutureOptionCallITMExpiryRegressionAlgorithm.cs
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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;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This regression algorithm tests In The Money (ITM) future option expiry for calls.
/// We expect 3 orders from the algorithm, which are:
///
/// * Initial entry, buy ES Call Option (expiring ITM)
/// * Option exercise, receiving ES future contracts
/// * Future contract liquidation, due to impending expiry
///
/// Additionally, we test delistings for future options and assert that our
/// portfolio holdings reflect the orders the algorithm has submitted.
/// </summary>
public class FutureOptionCallITMExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _es19m20;
private Symbol _esOption;
private Symbol _expectedOptionContract;
public override void Initialize()
{
SetStartDate(2020, 1, 5);
SetEndDate(2020, 6, 30);
_es19m20 = AddFutureContract(
QuantConnect.Symbol.CreateFuture(
Futures.Indices.SP500EMini,
Market.CME,
new DateTime(2020, 6, 19)),
Resolution.Minute).Symbol;
// Select a future option expiring ITM, and adds it to the algorithm.
_esOption = AddFutureOptionContract(OptionChain(_es19m20)
.Where(x => x.ID.StrikePrice <= 3200m && x.ID.OptionRight == OptionRight.Call)
.OrderByDescending(x => x.ID.StrikePrice)
.Take(1)
.Single(), Resolution.Minute).Symbol;
_expectedOptionContract = QuantConnect.Symbol.CreateOption(_es19m20, Market.CME, OptionStyle.American, OptionRight.Call, 3200m, new DateTime(2020, 6, 19));
if (_esOption != _expectedOptionContract)
{
throw new RegressionTestException($"Contract {_expectedOptionContract} was not found in the chain");
}
Schedule.On(DateRules.Tomorrow, TimeRules.AfterMarketOpen(_es19m20, 1), () =>
{
MarketOrder(_esOption, 1);
});
}
public override void OnData(Slice slice)
{
// Assert delistings, so that we can make sure that we receive the delisting warnings at
// the expected time. These assertions detect bug #4872
foreach (var delisting in slice.Delistings.Values)
{
if (delisting.Type == DelistingType.Warning)
{
if (delisting.Time != new DateTime(2020, 6, 19))
{
throw new RegressionTestException($"Delisting warning issued at unexpected date: {delisting.Time}");
}
}
if (delisting.Type == DelistingType.Delisted)
{
if (delisting.Time != new DateTime(2020, 6, 20))
{
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 == _es19m20)
{
AssertFutureOptionOrderExercise(orderEvent, security, Securities[_expectedOptionContract]);
}
else if (security.Symbol == _expectedOptionContract)
{
AssertFutureOptionContractOrder(orderEvent, security);
}
else
{
throw new RegressionTestException($"Received order event for unknown Symbol: {orderEvent.Symbol}");
}
Log($"{Time:yyyy-MM-dd HH:mm:ss} -- {orderEvent.Symbol} :: Price: {Securities[orderEvent.Symbol].Holdings.Price} Qty: {Securities[orderEvent.Symbol].Holdings.Quantity} Direction: {orderEvent.Direction} Msg: {orderEvent.Message}");
}
private void AssertFutureOptionOrderExercise(OrderEvent orderEvent, Security future, Security optionContract)
{
var expectedLiquidationTimeUtc = new DateTime(2020, 6, 20, 4, 0, 0);
if (orderEvent.Direction == OrderDirection.Sell && future.Holdings.Quantity != 0)
{
// We expect the contract to have been liquidated immediately
throw new RegressionTestException($"Did not liquidate existing holdings for Symbol {future.Symbol}");
}
if (orderEvent.Direction == OrderDirection.Sell && orderEvent.UtcTime != expectedLiquidationTimeUtc)
{
throw new RegressionTestException($"Liquidated future contract, but not at the expected time. Expected: {expectedLiquidationTimeUtc:yyyy-MM-dd HH:mm:ss} - found {orderEvent.UtcTime:yyyy-MM-dd HH:mm:ss}");
}
// No way to detect option exercise orders or any other kind of special orders
// other than matching strings, for now.
if (orderEvent.Message.Contains("Option Exercise"))
{
if (orderEvent.FillPrice != 3200m)
{
throw new RegressionTestException("Option did not exercise at expected strike price (3200)");
}
if (future.Holdings.Quantity != 1)
{
// Here, we expect to have some holdings in the underlying, but not in the future option anymore.
throw new RegressionTestException($"Exercised option contract, but we have no holdings for Future {future.Symbol}");
}
if (optionContract.Holdings.Quantity != 0)
{
throw new RegressionTestException($"Exercised option contract, but we have holdings for Option contract {optionContract.Symbol}");
}
}
}
private void AssertFutureOptionContractOrder(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.Message.Contains("Exercise") && option.Holdings.Quantity != 0)
{
throw new RegressionTestException($"Holdings were found after exercising option contract {option.Symbol}");
}
}
/// <summary>
/// Ran at the end of the algorithm to ensure the algorithm has no holdings
/// </summary>
/// <exception cref="RegressionTestException">The algorithm has holdings</exception>
public override void OnEndOfAlgorithm()
{
if (Portfolio.Invested)
{
throw new RegressionTestException($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}");
}
}
/// <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 => 212198;
/// <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", "3"},
{"Average Win", "2.28%"},
{"Average Loss", "-6.80%"},
{"Compounding Annual Return", "-9.373%"},
{"Drawdown", "5.500%"},
{"Expectancy", "-0.332"},
{"Start Equity", "100000"},
{"End Equity", "95323.58"},
{"Net Profit", "-4.676%"},
{"Sharpe Ratio", "-1.163"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0.165%"},
{"Loss Rate", "50%"},
{"Win Rate", "50%"},
{"Profit-Loss Ratio", "0.34"},
{"Alpha", "-0.074"},
{"Beta", "0.003"},
{"Annual Standard Deviation", "0.064"},
{"Annual Variance", "0.004"},
{"Information Ratio", "-0.226"},
{"Tracking Error", "0.378"},
{"Treynor Ratio", "-21.841"},
{"Total Fees", "$1.42"},
{"Estimated Strategy Capacity", "$120000000.00"},
{"Lowest Capacity Asset", "ES XFH59UPBMTJ8|ES XFH59UK0MYO1"},
{"Portfolio Turnover", "1.94%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "a7d2aa89bb101a77fdbc04890235f83c"}
};
}
}