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quantconnect--lean/Algorithm.CSharp/OptionRenameRegressionAlgorithm.cs
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Jhonathan Abreu e29bb2c5e0
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File-based options universe (#8212)
* Initial options universe with greeks implementation

* Options universe improvements

* Address peer review

* File based options universe fixes and improvements.

- Adjust OptionUniverse start-end times and period.
- Adapt unit tests and some algorithms to pass with new options universe selection.

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Option chain provider with new options universe

* Allow canonical option history requests

* Address peer review

* Address peer review

* Fix symbols parsing in OptionUniverse

* Fix universe selection subscriptions start time to not include extended market hours

* Minor changes

* Minor changes

* Peer recommended changes and fixes

* Update regression algorithm stats

* Update regression algorithms stats and minor fixes

* Fix option chain provider history request

* Round option indicators values

* Added option universe csv header property

* Update regression algorithms stats

* Update regression algorithms stats

* Data fixes and regression algos stats update

* Unit test fixes

* Minor changes

* Option chain handling in live trading data feed

* Minor changes

* Added processed data provider

* Fix thread-safety violation in Slice class

* Minor change

* Update options filter universe API to use OptionUniverse data

Add new filter methods for greeks, IV and open interest

* Option filter universe api updates

* Add OptionUniverse history regression algorithms

* Add regression algorithms for new options filter universe api methods

* Added options greeks data and updated regression algorithms

* Address peer review

* Address peer review

* Add more assertions to new options filter api regression algorithms

* Minor performance improvement.

Reduce greeks binomial model steps to 140

* Minor tests updates

* Greeks numerical models performance improvements

* Greeks numerical models performance improvements

* Revert array pool change for option pricing numerical models

* Update default dividend yield provider depending on option type

* [TEST]

* Add helper method con calculate time till expiration

* Use double in price option numerical models

* Implied volatility calculation improvements

- Adjust root finding method accuracy as a factor of the option price
- Use BSM to get a first guess

* Cleanup

* Some regression algorithms and unit tests cleanup

* Regression tests updates after rebasing from master

* Add universe files

* Self review and cleanup

* Minor regression tests updates after rebase

* Fix: set data time zone to same as exchange tz for options universes

* Minor change

* Minor change

* Fix for live trading options universe selection

* Keep underlying when aggregating collections in BaseDataCollectionAggregatorEnumerator

* Update index options regression algorithms stats

* Minor change

* Address peer review

* Memory usage improvements

* Minor build fix

* Minor changes and test fixes

* Cache symbols in OptionUniverse

* Cleanup

* Fix index option creation in OptionUniverse

* Use cached underlying SID when parsing from string

* Abstract symbols cache to BaseDataCollection

* Return actual underlying symbol when mapping decomposing ICO ticker

* Address peer review

* Minor performance improvements reduce garbage

* Limit Symbols and SIDs cache size to help with memory usage

* Minor fix in symbols and sid cache cleanup

* Build fix

* Lazily parse greeks on individual access

* Cleanup and tests

* Address peer review

* Minor greeks fix

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
2024-09-09 12:39:31 -03:00

191 lines
7.7 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 QuantConnect.Data;
using QuantConnect.Data.Market;
using QuantConnect.Orders;
using QuantConnect.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This is an option split regression algorithm
/// </summary>
/// <meta name="tag" content="options" />
/// <meta name="tag" content="regression test" />
public class OptionRenameRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _optionSymbol;
public override void Initialize()
{
// this test opens position in the first day of trading, lives through stock rename (NWSA->FOXA), dividends, and closes adjusted position on the third day
SetStartDate(2013, 06, 28);
SetEndDate(2013, 07, 02);
SetCash(1000000);
var option = AddOption("TFCFA");
_optionSymbol = option.Symbol;
// set our strike/expiry filter for this option chain
option.SetFilter(-1, +1, TimeSpan.Zero, TimeSpan.MaxValue);
// use the underlying equity as the benchmark
SetBenchmark("TFCFA");
}
/// <summary>
/// Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event
/// </summary>
/// <param name="slice">The current slice of data keyed by symbol string</param>
public override void OnData(Slice slice)
{
foreach (var dividend in slice.Dividends.Values)
{
if (dividend.ReferencePrice != 32.6m || dividend.Distribution != 3.82m)
{
throw new RegressionTestException($"{Time} - Invalid dividend {dividend}");
}
}
if (!Portfolio.Invested)
{
if (Time.Day == 28 && Time.Hour > 9 && Time.Minute > 0)
{
OptionChain chain;
if (slice.OptionChains.TryGetValue(_optionSymbol, out chain))
{
var contract =
chain.OrderBy(x => x.Expiry)
.Where(x => x.Right == OptionRight.Call && x.Strike == 33 && x.Expiry.Date == new DateTime(2013, 08, 17))
.FirstOrDefault();
if (contract != null)
{
// Buying option
Buy(contract.Symbol, 1);
// Buying the underlying stock
var underlyingSymbol = contract.Symbol.Underlying;
Buy(underlyingSymbol, 100);
// checks
if (contract.AskPrice != 1.1m)
{
throw new RegressionTestException("Regression test failed: current ask price was not loaded from NWSA backtest file and is not $1.1");
}
}
}
}
}
else
{
if (Time.Day == 2 && Time.Hour > 14 && Time.Minute > 0)
{
// selling positions
Liquidate();
// checks
OptionChain chain;
if (slice.OptionChains.TryGetValue(_optionSymbol, out chain))
{
var contract =
chain.OrderBy(x => x.Expiry)
.Where(x => x.Right == OptionRight.Call && x.Strike == 33 && x.Expiry.Date == new DateTime(2013, 08, 17))
.FirstOrDefault();
if (contract.BidPrice != 0.05m)
{
throw new RegressionTestException("Regression test failed: current bid price was not loaded from FOXA file and is not $0.05");
}
}
}
}
}
/// <summary>
/// Order fill event handler. On an order fill update the resulting information is passed to this method.
/// </summary>
/// <param name="orderEvent">Order event details containing details of the events</param>
/// <remarks>This method can be called asynchronously and so should only be used by seasoned C# experts. Ensure you use proper locks on thread-unsafe objects</remarks>
public override void OnOrderEvent(OrderEvent orderEvent)
{
Log(orderEvent.ToString());
}
/// <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 => 19290;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <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", "4"},
{"Average Win", "0%"},
{"Average Loss", "-0.02%"},
{"Compounding Annual Return", "-0.492%"},
{"Drawdown", "0.000%"},
{"Expectancy", "-1"},
{"Start Equity", "1000000"},
{"End Equity", "999937"},
{"Net Profit", "-0.006%"},
{"Sharpe Ratio", "-9.182"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "29.496%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0.001"},
{"Annual Variance", "0"},
{"Information Ratio", "-3.318"},
{"Tracking Error", "0.001"},
{"Treynor Ratio", "0"},
{"Total Fees", "$4.00"},
{"Estimated Strategy Capacity", "$8600000.00"},
{"Lowest Capacity Asset", "NWSA VJ5IKAXU7WBQ|NWSA T3MO1488O0H1"},
{"Portfolio Turnover", "0.13%"},
{"OrderListHash", "83dfb4b2f1d41429273d83335b63426c"}
};
}
}