Files
quantconnect--lean/Algorithm.CSharp/BacktestingBrokerageRegressionAlgorithm.cs
T
Martin-Molinero ff47ede36c Minor fix for automatically added option underlying (#7311)
- Lean engine will automatically add an options underlying if not
  present, but in most cases the option chain will select the underlying
  too, so let's make sure the configurations match. Previous to this
  change 'fill forward' setting could be different causing the
  underlying to be duplicated in the data stack
2023-06-09 19:03:35 -03:00

338 lines
14 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 QuantConnect.Data;
using QuantConnect.Data.Market;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Orders.Fees;
using QuantConnect.Orders.Fills;
using QuantConnect.Securities;
using QuantConnect.Securities.Option;
using System;
using System.Collections.Generic;
using System.Linq;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This regression algorithm tests the order processing of the backtesting brokerage.
/// We open an equity position that should fill in two parts, on two different bars.
/// We open a long option position and let it expire so we can exercise the position.
/// To check the orders we use OnOrderEvent and throw exceptions if verification fails.
/// </summary>
/// <meta name="tag" content="backtesting brokerage" />
/// <meta name="tag" content="regression test" />
/// <meta name="tag" content="options" />
class BacktestingBrokerageRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Security _security;
private Symbol _spy;
private OrderTicket _equityBuy;
private Option _option;
private Symbol _optionSymbol;
private OrderTicket _optionBuy;
private bool _optionBought = false;
private bool _equityBought = false;
private decimal _optionStrikePrice;
/// <summary>
/// Initialize the algorithm
/// </summary>
public override void Initialize()
{
SetCash(100000);
SetStartDate(2015, 12, 24);
SetEndDate(2015, 12, 28);
// Get our equity
_security = AddEquity("SPY", Resolution.Hour);
_security.SetFillModel(new PartialMarketFillModel(2));
_spy = _security.Symbol;
// Get our option
_option = AddOption("GOOG");
_option.SetFilter(u => u.IncludeWeeklys()
.Strikes(-2, +2)
.Expiration(TimeSpan.Zero, TimeSpan.FromDays(10)));
_optionSymbol = _option.Symbol;
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">Slice object keyed by symbol containing the stock data</param>
public override void OnData(Slice data)
{
if (!_equityBought && data.ContainsKey(_spy))
{
//Buy our Equity.
//Quantity is rounded down to an even number since it will be split in two equal halves
var quantity = Math.Floor(CalculateOrderQuantity(_spy, .1m) / 2) * 2;
_equityBuy = MarketOrder(_spy, quantity, asynchronous: true);
_equityBought = true;
}
if (!_optionBought)
{
// Buy our option
OptionChain chain;
if (data.OptionChains.TryGetValue(_optionSymbol, out chain))
{
// Find the second call strike under market price expiring today
var contracts = (
from optionContract in chain.OrderByDescending(x => x.Strike)
where optionContract.Right == OptionRight.Call
where optionContract.Expiry == Time.Date
where optionContract.Strike < chain.Underlying.Price
select optionContract
).Take(2);
if (contracts.Any())
{
var optionToBuy = contracts.FirstOrDefault();
_optionStrikePrice = optionToBuy.Strike;
_optionBuy = MarketOrder(optionToBuy.Symbol, 1);
_optionBought = true;
}
}
}
}
/// <summary>
/// All order events get pushed through this function
/// </summary>
/// <param name="orderEvent">OrderEvent object that contains all the information about the event</param>
public override void OnOrderEvent(OrderEvent orderEvent)
{
// Get the order from our transactions
var order = Transactions.GetOrderById(orderEvent.OrderId);
// Based on the type verify the order
switch (order.Type)
{
case OrderType.Market:
VerifyMarketOrder(order, orderEvent);
break;
case OrderType.OptionExercise:
VerifyOptionExercise(order, orderEvent);
break;
default:
throw new ArgumentOutOfRangeException();
}
}
/// <summary>
/// To verify Market orders is process correctly
/// </summary>
/// <param name="order">Order object to analyze</param>
public void VerifyMarketOrder(Order order, OrderEvent orderEvent)
{
switch (order.Status)
{
case OrderStatus.Submitted:
break;
// All PartiallyFilled orders should have a LastFillTime
case OrderStatus.PartiallyFilled:
if (order.LastFillTime == null)
{
throw new Exception("LastFillTime should not be null");
}
if (order.Quantity / 2 != orderEvent.FillQuantity)
{
throw new Exception("Order size should be half");
}
break;
// All filled equity orders should have filled after creation because of our fill model!
case OrderStatus.Filled:
if (order.SecurityType == SecurityType.Equity && order.CreatedTime == order.LastFillTime)
{
throw new Exception("Order should not finish during the CreatedTime bar");
}
break;
default:
throw new ArgumentOutOfRangeException();
}
}
/// <summary>
/// To verify OptionExercise orders is process correctly
/// </summary>
/// <param name="order">Order object to analyze</param>
public void VerifyOptionExercise(Order order, OrderEvent orderEvent)
{
// If the option price isn't the same as the strike price, its incorrect
if (order.Price != _optionStrikePrice)
{
throw new Exception("OptionExercise order price should be strike price!!");
}
if (orderEvent.Quantity != -1)
{
throw new Exception("OrderEvent Quantity should be -1");
}
}
/// <summary>
/// Runs after algorithm, used to check our portfolio and orders
/// </summary>
public override void OnEndOfAlgorithm()
{
if (!Portfolio.ContainsKey(_optionBuy.Symbol) || !Portfolio.ContainsKey(_optionBuy.Symbol.Underlying) || !Portfolio.ContainsKey(_equityBuy.Symbol))
{
throw new Exception("Portfolio does not contain the Symbols we purchased");
}
//Check option holding, should not be invested since it expired, profit should be -400
var optionHolding = Portfolio[_optionBuy.Symbol];
if (optionHolding.Invested || optionHolding.Profit != -400)
{
throw new Exception("Options holding does not match expected outcome");
}
//Check the option underlying symbol since we should have bought it at exercise
//Quantity should be 100, AveragePrice should be option strike price
var optionExerciseHolding = Portfolio[_optionBuy.Symbol.Underlying];
if (!optionExerciseHolding.Invested || optionExerciseHolding.Quantity != 100 || optionExerciseHolding.AveragePrice != _optionBuy.Symbol.ID.StrikePrice)
{
throw new Exception("Equity holding for exercised option does not match expected outcome");
}
//Check equity holding, should be invested, profit should be
//Quantity should be 52, AveragePrice should be ticket AverageFillPrice
var equityHolding = Portfolio[_equityBuy.Symbol];
if (!equityHolding.Invested || equityHolding.Quantity != 52 || equityHolding.AveragePrice != _equityBuy.AverageFillPrice)
{
throw new Exception("Equity holding does not match expected outcome");
}
}
/// <summary>
/// PartialMarketFillModel that allows the user to set the number of fills and restricts
/// the fill to only one per bar.
/// </summary>
private class PartialMarketFillModel : ImmediateFillModel
{
private readonly decimal _percent;
private readonly Dictionary<long, decimal> _absoluteRemainingByOrderId = new Dictionary<long, decimal>();
/// <param name="numberOfFills"></param>
public PartialMarketFillModel(int numberOfFills = 1)
{
_percent = 1m / numberOfFills;
}
/// <summary>
/// Performs partial market fills once per time step
/// </summary>
/// <param name="asset">The security being ordered</param>
/// <param name="order">The order</param>
/// <returns>The order fill</returns>
public override OrderEvent MarketFill(Security asset, MarketOrder order)
{
var currentUtcTime = asset.LocalTime.ConvertToUtc(asset.Exchange.TimeZone);
// Only fill once a time slice
if (order.LastFillTime != null && currentUtcTime <= order.LastFillTime)
{
return new OrderEvent(order, currentUtcTime, OrderFee.Zero);
}
decimal absoluteRemaining;
if (!_absoluteRemainingByOrderId.TryGetValue(order.Id, out absoluteRemaining))
{
absoluteRemaining = order.AbsoluteQuantity;
_absoluteRemainingByOrderId.Add(order.Id, order.AbsoluteQuantity);
}
var fill = base.MarketFill(asset, order);
var absoluteFillQuantity = (int)(Math.Min(absoluteRemaining, (int)(_percent * order.Quantity)));
fill.FillQuantity = Math.Sign(order.Quantity) * absoluteFillQuantity;
if (absoluteRemaining == absoluteFillQuantity)
{
fill.Status = OrderStatus.Filled;
_absoluteRemainingByOrderId.Remove(order.Id);
}
else
{
absoluteRemaining = absoluteRemaining - absoluteFillQuantity;
_absoluteRemainingByOrderId[order.Id] = absoluteRemaining;
fill.Status = OrderStatus.PartiallyFilled;
}
return fill;
}
}
/// <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 => 1272232;
/// <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", "3"},
{"Average Win", "0%"},
{"Average Loss", "-0.40%"},
{"Compounding Annual Return", "-22.717%"},
{"Drawdown", "0.400%"},
{"Expectancy", "-1"},
{"Net Profit", "-0.329%"},
{"Sharpe Ratio", "-7.887"},
{"Probabilistic Sharpe Ratio", "1.216%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "-0.001"},
{"Beta", "0.097"},
{"Annual Standard Deviation", "0.002"},
{"Annual Variance", "0"},
{"Information Ratio", "7.39"},
{"Tracking Error", "0.015"},
{"Treynor Ratio", "-0.131"},
{"Total Fees", "$2.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", "GOOCV VP83T1ZUHROL"},
{"Portfolio Turnover", "17.02%"},
{"OrderListHash", "85cbf92f01c2c91b5f710b7eeefecbe1"}
};
}
}