41a730bc68
Research Regression Tests / build (push) Has been cancelled
Python Virtual Environments / build (push) Has been cancelled
Benchmarks / build (push) Has been cancelled
Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
* Set fill price to zero in OTM exercise orders. Improved the OTM exercise orders message. * Update regression algorithms and unit tests * Add IsInTheMoney property to OrderEvent * Update SerializedOrderEvent * Properly setting the option exercise order price to strike price or zero * Minor changes * Minor changes
214 lines
8.8 KiB
C#
214 lines
8.8 KiB
C#
/*
|
|
* 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 System.Reflection;
|
|
using QuantConnect.Data;
|
|
using QuantConnect.Interfaces;
|
|
using QuantConnect.Orders;
|
|
using QuantConnect.Securities;
|
|
|
|
namespace QuantConnect.Algorithm.CSharp
|
|
{
|
|
/// <summary>
|
|
/// This regression algorithm tests Out of The Money (OTM) future option expiry for calls.
|
|
/// We expect 2 orders from the algorithm, which are:
|
|
///
|
|
/// * Initial entry, buy ES Call Option (expiring OTM)
|
|
/// - contract expires worthless, not exercised, so never opened a position in the underlying
|
|
///
|
|
/// * Liquidation of worthless ES call option (expiring OTM). The option exercise order fill price must be zero.
|
|
/// </summary>
|
|
/// <remarks>
|
|
/// 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
|
|
/// </remarks>
|
|
public class OptionOTMExpiryOrderHasZeroPriceRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
|
{
|
|
private Symbol _es19m20;
|
|
private Symbol _esOption;
|
|
private Symbol _expectedContract;
|
|
|
|
private decimal _cashAfterMarketOrder;
|
|
|
|
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 call expiring OTM, and adds it to the algorithm.
|
|
_esOption = AddFutureOptionContract(OptionChainProvider.GetOptionContractList(_es19m20, Time)
|
|
.Where(x => x.ID.StrikePrice >= 3300m && x.ID.OptionRight == OptionRight.Call)
|
|
.OrderBy(x => x.ID.StrikePrice)
|
|
.Take(1)
|
|
.Single(), Resolution.Minute).Symbol;
|
|
|
|
_expectedContract = QuantConnect.Symbol.CreateOption(_es19m20, Market.CME, OptionStyle.American, OptionRight.Call, 3300m, new DateTime(2020, 6, 19));
|
|
if (_esOption != _expectedContract)
|
|
{
|
|
throw new Exception($"Contract {_expectedContract} was not found in the chain");
|
|
}
|
|
}
|
|
|
|
public override void OnData(Slice data)
|
|
{
|
|
if (!Portfolio.Invested)
|
|
{
|
|
MarketOrder(_esOption, 1);
|
|
_cashAfterMarketOrder = Portfolio.Cash;
|
|
}
|
|
}
|
|
|
|
public override void OnOrderEvent(OrderEvent orderEvent)
|
|
{
|
|
if (orderEvent.Status != OrderStatus.Filled)
|
|
{
|
|
// There's lots of noise with OnOrderEvent, but we're only interested in fills.
|
|
return;
|
|
}
|
|
|
|
if (!Securities.ContainsKey(orderEvent.Symbol))
|
|
{
|
|
throw new Exception($"Order event Symbol not found in Securities collection: {orderEvent.Symbol}");
|
|
}
|
|
|
|
var security = Securities[orderEvent.Symbol];
|
|
if (security.Symbol == _es19m20)
|
|
{
|
|
throw new Exception("Invalid state: did not expect a position for the underlying to be opened, since this contract expires OTM");
|
|
}
|
|
|
|
if (_cashAfterMarketOrder > 0)
|
|
{
|
|
// This is the exercise order fill event
|
|
if (orderEvent.IsInTheMoney || orderEvent.FillPrice != 0)
|
|
{
|
|
throw new Exception($"Expected exercise order event fill price to be zero and to be marked as OTM, " +
|
|
$"but was the fill price was {orderEvent.FillPrice} and IsInTheMoney = {orderEvent.IsInTheMoney}");
|
|
}
|
|
}
|
|
}
|
|
|
|
/// <summary>
|
|
/// Ran at the end of the algorithm to ensure the algorithm has no holdings
|
|
/// </summary>
|
|
/// <exception cref="Exception">The algorithm has holdings</exception>
|
|
public override void OnEndOfAlgorithm()
|
|
{
|
|
if (Portfolio.Invested)
|
|
{
|
|
throw new Exception($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}");
|
|
}
|
|
|
|
// No change in cash is expected, only the market order fill price
|
|
if (Portfolio.Cash != _cashAfterMarketOrder)
|
|
{
|
|
throw new Exception($"Expected no change in cash after the market order. Cash in portfolio: {Portfolio.Cash}. Cash in portfolio after the market order: {_cashAfterMarketOrder}");
|
|
}
|
|
|
|
var orders = Transactions.GetOrders().ToList();
|
|
if (orders.Count != 2)
|
|
{
|
|
throw new Exception($"Expected 2 orders (market order and OTM option exercise), but found: {orders.Count}");
|
|
}
|
|
|
|
var exerciseOrder = orders.Find(x => x.Type == OrderType.OptionExercise);
|
|
if (!exerciseOrder.Tag.Contains("OTM", StringComparison.InvariantCulture) || exerciseOrder.Price != 0)
|
|
{
|
|
throw new Exception($"Expected the OTM exercise order to have price = 0, but was: {exerciseOrder.Price}");
|
|
}
|
|
}
|
|
|
|
/// <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 Language[] Languages { get; } = { Language.CSharp };
|
|
|
|
/// <summary>
|
|
/// Data Points count of all timeslices of algorithm
|
|
/// </summary>
|
|
public long DataPoints => 211475;
|
|
|
|
/// <summary>
|
|
/// Data Points count of the algorithm history
|
|
/// </summary>
|
|
public int AlgorithmHistoryDataPoints => 0;
|
|
|
|
/// <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", "2"},
|
|
{"Average Win", "0%"},
|
|
{"Average Loss", "-3.85%"},
|
|
{"Compounding Annual Return", "-7.754%"},
|
|
{"Drawdown", "4.300%"},
|
|
{"Expectancy", "-1"},
|
|
{"Net Profit", "-3.851%"},
|
|
{"Sharpe Ratio", "-1.023"},
|
|
{"Probabilistic Sharpe Ratio", "0.131%"},
|
|
{"Loss Rate", "100%"},
|
|
{"Win Rate", "0%"},
|
|
{"Profit-Loss Ratio", "0"},
|
|
{"Alpha", "-0.053"},
|
|
{"Beta", "0.003"},
|
|
{"Annual Standard Deviation", "0.052"},
|
|
{"Annual Variance", "0.003"},
|
|
{"Information Ratio", "-0.198"},
|
|
{"Tracking Error", "0.377"},
|
|
{"Treynor Ratio", "-19.331"},
|
|
{"Total Fees", "$1.42"},
|
|
{"Estimated Strategy Capacity", "$180000000.00"},
|
|
{"Lowest Capacity Asset", "ES XFH59UPHGV9G|ES XFH59UK0MYO1"},
|
|
{"Fitness Score", "0"},
|
|
{"Kelly Criterion Estimate", "0"},
|
|
{"Kelly Criterion Probability Value", "0"},
|
|
{"Sortino Ratio", "79228162514264337593543950335"},
|
|
{"Return Over Maximum Drawdown", "-1.798"},
|
|
{"Portfolio Turnover", "0"},
|
|
{"Total Insights Generated", "0"},
|
|
{"Total Insights Closed", "0"},
|
|
{"Total Insights Analysis Completed", "0"},
|
|
{"Long Insight Count", "0"},
|
|
{"Short Insight Count", "0"},
|
|
{"Long/Short Ratio", "100%"},
|
|
{"Estimated Monthly Alpha Value", "$0"},
|
|
{"Total Accumulated Estimated Alpha Value", "$0"},
|
|
{"Mean Population Estimated Insight Value", "$0"},
|
|
{"Mean Population Direction", "0%"},
|
|
{"Mean Population Magnitude", "0%"},
|
|
{"Rolling Averaged Population Direction", "0%"},
|
|
{"Rolling Averaged Population Magnitude", "0%"},
|
|
{"OrderListHash", "61fc923519bea2059d8094378386ea42"}
|
|
};
|
|
}
|
|
}
|
|
|