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Handle insufficient margin for option exercise (#7828)
* Handle insufficient margin for option exercise * Minor change * Minor changes
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214 changes: 214 additions & 0 deletions
214
Algorithm.CSharp/InsufficientBuyingPowerForAutomaticExerciseRegressionAlgorithm.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. | ||
*/ | ||
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using System; | ||
using System.Collections.Generic; | ||
using System.Linq; | ||
using QuantConnect.Data; | ||
using QuantConnect.Interfaces; | ||
using QuantConnect.Orders; | ||
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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Regression algorithm asserting that a short option position is auto exercised even when there is insufficient margin, | ||
/// but triggering a margin call for the underlying stock to cover the assignment. | ||
/// </summary> | ||
public class InsufficientBuyingPowerForAutomaticExerciseRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
private Symbol _stock; | ||
private Symbol _option; | ||
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private bool _stockBought; | ||
private bool _optionSold; | ||
private bool _optionAssigned; | ||
private bool _marginCallReceived; | ||
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public override void Initialize() | ||
{ | ||
SetStartDate(2015, 12, 23); | ||
SetEndDate(2015, 12, 28); | ||
SetCash(100000); | ||
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_stock = AddEquity("GOOG").Symbol; | ||
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var contracts = OptionChainProvider.GetOptionContractList(_stock, UtcTime).ToList(); | ||
_option = contracts | ||
.Where(c => c.ID.OptionRight == OptionRight.Put) | ||
.OrderBy(c => c.ID.Date) | ||
.First(c => c.ID.StrikePrice == 800m); | ||
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AddOptionContract(_option); | ||
} | ||
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public override void OnData(Slice data) | ||
{ | ||
// We are done with buying | ||
if (_stockBought && _optionSold) | ||
{ | ||
return; | ||
} | ||
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if (!Portfolio.Invested) | ||
{ | ||
// We'll use all our buying power to buy the stock, so when we then open a short put position, | ||
// the margin will not be enough to cover the automatic exercise | ||
SetHoldings(_stock, 1); | ||
} | ||
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if (_stockBought && Securities[_option].Price != 0) | ||
{ | ||
MarketOrder(_option, -2); | ||
} | ||
} | ||
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public override void OnMarginCall(List<SubmitOrderRequest> requests) | ||
{ | ||
if (!_optionAssigned) | ||
{ | ||
throw new Exception("Expected option to have been assigned before the margin call " + | ||
"(which should have been triggered by the auto-exercise of the option with inssuficient margin)."); | ||
} | ||
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if (_marginCallReceived) | ||
{ | ||
throw new Exception("Received multiple margin calls. Expected just one."); | ||
} | ||
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var request = requests.Single(); | ||
if (request.Symbol != _stock) | ||
{ | ||
throw new Exception("Expected margin call for the stock, but got margin call for: " + request.Symbol); | ||
} | ||
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_marginCallReceived = true; | ||
} | ||
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public override void OnOrderEvent(OrderEvent orderEvent) | ||
{ | ||
var order = Transactions.GetOrderById(orderEvent.OrderId); | ||
Debug($"{Time} :: {order.Id} - {order.Type} - {orderEvent.Symbol}: {orderEvent.Status} - {orderEvent.Quantity} shares at {orderEvent.FillPrice}"); | ||
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if (orderEvent.Status == OrderStatus.Filled) | ||
{ | ||
if (orderEvent.Symbol == _stock) | ||
{ | ||
_stockBought = true; | ||
} | ||
else if (orderEvent.Symbol == _option) | ||
{ | ||
if (order.Type == OrderType.Market) | ||
{ | ||
if (!_stockBought) | ||
{ | ||
throw new Exception("Stock should have been bought first"); | ||
} | ||
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_optionSold = true; | ||
} | ||
else if (order.Type == OrderType.OptionExercise && orderEvent.IsAssignment) | ||
{ | ||
if (!_optionSold) | ||
{ | ||
throw new Exception("Option should have been sold first"); | ||
} | ||
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_optionAssigned = true; | ||
} | ||
} | ||
else | ||
{ | ||
throw new Exception("Unexpected symbol: " + orderEvent.Symbol); | ||
} | ||
} | ||
} | ||
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public override void OnEndOfAlgorithm() | ||
{ | ||
if (!_stockBought) | ||
{ | ||
throw new Exception("Stock was not bought"); | ||
} | ||
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if (!_optionSold) | ||
{ | ||
throw new Exception("Option was not sold"); | ||
} | ||
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if (!_optionAssigned) | ||
{ | ||
throw new Exception("Option was not assigned"); | ||
} | ||
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if (!_marginCallReceived) | ||
{ | ||
throw new Exception("Margin call was not received"); | ||
} | ||
} | ||
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/// <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; | ||
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/// <summary> | ||
/// This is used by the regression test system to indicate which languages this algorithm is written in. | ||
/// </summary> | ||
public Language[] Languages { get; } = { Language.CSharp }; | ||
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/// <summary> | ||
/// Data Points count of all timeslices of algorithm | ||
/// </summary> | ||
public long DataPoints => 2821; | ||
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/// <summary> | ||
/// Data Points count of the algorithm history | ||
/// </summary> | ||
public int AlgorithmHistoryDataPoints => 0; | ||
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/// <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 Trades", "4"}, | ||
{"Average Win", "8.96%"}, | ||
{"Average Loss", "-1.95%"}, | ||
{"Compounding Annual Return", "-67.963%"}, | ||
{"Drawdown", "2.900%"}, | ||
{"Expectancy", "-1"}, | ||
{"Net Profit", "-1.752%"}, | ||
{"Sharpe Ratio", "-6.542"}, | ||
{"Sortino Ratio", "0"}, | ||
{"Probabilistic Sharpe Ratio", "1.125%"}, | ||
{"Loss Rate", "100%"}, | ||
{"Win Rate", "0%"}, | ||
{"Profit-Loss Ratio", "4.60"}, | ||
{"Alpha", "-0.007"}, | ||
{"Beta", "1.181"}, | ||
{"Annual Standard Deviation", "0.036"}, | ||
{"Annual Variance", "0.001"}, | ||
{"Information Ratio", "-1.422"}, | ||
{"Tracking Error", "0.03"}, | ||
{"Treynor Ratio", "-0.2"}, | ||
{"Total Fees", "$3.30"}, | ||
{"Estimated Strategy Capacity", "$2400000.00"}, | ||
{"Lowest Capacity Asset", "GOOCV 305RBQ20WHPNQ|GOOCV VP83T1ZUHROL"}, | ||
{"Portfolio Turnover", "54.01%"}, | ||
{"OrderListHash", "72e36e29e49caae435accc583f060c47"} | ||
}; | ||
} | ||
} | ||
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