8c6aa6a3b3
* Adds CapacityEstimate and SymbolCapacity
The capacity estimation has been moved from
the report generator and wired directly into
Lean via the ResultHandler. In addition,
the capacity estimation strategy has changed
to account for errors in the previous iteration
of the capacity estimation.
Many many thanks to Jared for being much of the
mastermind behind this project. It would have
been harder to complete without him to bounce ideas
off of.
* Moves old tests to regression algorithms
* Adds Estimated Capacity statistic
* Removes old capacity estimation tests
Final report capacity estimation. Pushing to save state
* Fixes bugs, cleans up code and adds comments
* Adds forced sampling to Capacity Estimation
* Misc. bug fixes for daily data
* Updates capacity test cases' Estimated Strategy Capacity statistic
* Adds Capacity Estimate to all regression algorithms
* Removes Report's StrategyCapacity class and fixes bug in tests
* Adds null check in BacktestingResultHandler to fix
BacktestingTransactionHandler failing tests
* Deletes old capacity estimation classes
* Retrieve capacity estimates from backtest statistics results
instead of calculating at runtime
* Make $0.00 capacity return as "-" and Result = 0 in report
* Adds capacity to runtime statistics
* Converts capacity to number denoted by financial figures in RuntimeStats
* Addresses review: code cleanup for Capacity and adds comments to regression tests
166 lines
6.9 KiB
C#
166 lines
6.9 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.Linq;
|
|
using QuantConnect.Data;
|
|
using QuantConnect.Interfaces;
|
|
using System.Collections.Generic;
|
|
|
|
namespace QuantConnect.Algorithm.CSharp
|
|
{
|
|
/// <summary>
|
|
/// We add an option contract using <see cref="QCAlgorithm.AddOptionContract"/> and place a trade and wait till it expires
|
|
/// later will liquidate the resulting equity position and assert both option and underlying get removed
|
|
/// </summary>
|
|
public class AddOptionContractExpiresRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
|
{
|
|
private DateTime _expiration = new DateTime(2014, 06, 21);
|
|
private Symbol _option;
|
|
private Symbol _twx;
|
|
private bool _traded;
|
|
|
|
public override void Initialize()
|
|
{
|
|
SetStartDate(2014, 06, 05);
|
|
SetEndDate(2014, 06, 30);
|
|
|
|
_twx = QuantConnect.Symbol.Create("TWX", SecurityType.Equity, Market.USA);
|
|
|
|
AddUniverse("my-daily-universe-name", time => new List<string> { "AAPL" });
|
|
}
|
|
|
|
public override void OnData(Slice data)
|
|
{
|
|
if (_option == null)
|
|
{
|
|
var option = OptionChainProvider.GetOptionContractList(_twx, Time)
|
|
.OrderBy(symbol => symbol.ID.Symbol)
|
|
.FirstOrDefault(optionContract => optionContract.ID.Date == _expiration
|
|
&& optionContract.ID.OptionRight == OptionRight.Call
|
|
&& optionContract.ID.OptionStyle == OptionStyle.American);
|
|
if (option != null)
|
|
{
|
|
_option = AddOptionContract(option).Symbol;
|
|
}
|
|
}
|
|
|
|
if (_option != null && Securities[_option].Price != 0 && !_traded)
|
|
{
|
|
_traded = true;
|
|
Buy(_option, 1);
|
|
|
|
foreach (var symbol in new [] { _option, _option.Underlying })
|
|
{
|
|
var config = SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(symbol).ToList();
|
|
|
|
if (!config.Any())
|
|
{
|
|
throw new Exception($"Was expecting configurations for {symbol}");
|
|
}
|
|
if (config.Any(dataConfig => dataConfig.DataNormalizationMode != DataNormalizationMode.Raw))
|
|
{
|
|
throw new Exception($"Was expecting DataNormalizationMode.Raw configurations for {symbol}");
|
|
}
|
|
}
|
|
}
|
|
|
|
if (Time.Date > _expiration)
|
|
{
|
|
if (SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_option).Any())
|
|
{
|
|
throw new Exception($"Unexpected configurations for {_option} after it has been delisted");
|
|
}
|
|
|
|
if (Securities[_twx].Invested)
|
|
{
|
|
if (!SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_twx).Any())
|
|
{
|
|
throw new Exception($"Was expecting configurations for {_twx}");
|
|
}
|
|
|
|
// first we liquidate the option exercised position
|
|
Liquidate(_twx);
|
|
}
|
|
}
|
|
else if (Time.Date > _expiration && !Securities[_twx].Invested)
|
|
{
|
|
if (SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_twx).Any())
|
|
{
|
|
throw new Exception($"Unexpected configurations for {_twx} after it has been liquidated");
|
|
}
|
|
}
|
|
}
|
|
|
|
/// <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, Language.Python };
|
|
|
|
/// <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", "2.73%"},
|
|
{"Average Loss", "-2.98%"},
|
|
{"Compounding Annual Return", "-4.619%"},
|
|
{"Drawdown", "0.300%"},
|
|
{"Expectancy", "-0.042"},
|
|
{"Net Profit", "-0.332%"},
|
|
{"Sharpe Ratio", "-3.7"},
|
|
{"Probabilistic Sharpe Ratio", "0.563%"},
|
|
{"Loss Rate", "50%"},
|
|
{"Win Rate", "50%"},
|
|
{"Profit-Loss Ratio", "0.92"},
|
|
{"Alpha", "-0.021"},
|
|
{"Beta", "-0.01"},
|
|
{"Annual Standard Deviation", "0.006"},
|
|
{"Annual Variance", "0"},
|
|
{"Information Ratio", "-3.374"},
|
|
{"Tracking Error", "0.058"},
|
|
{"Treynor Ratio", "2.133"},
|
|
{"Total Fees", "$2.00"},
|
|
{"Estimated Strategy Capacity", "$6400000.00"},
|
|
{"Fitness Score", "0"},
|
|
{"Kelly Criterion Estimate", "0"},
|
|
{"Kelly Criterion Probability Value", "0"},
|
|
{"Sortino Ratio", "-43.418"},
|
|
{"Return Over Maximum Drawdown", "-14.274"},
|
|
{"Portfolio Turnover", "0.007"},
|
|
{"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", "486118a60d78f74811fe8d927c2c6b43"}
|
|
};
|
|
}
|
|
}
|