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
254 lines
10 KiB
C#
254 lines
10 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using QuantConnect.Data;
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using QuantConnect.Data.UniverseSelection;
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using QuantConnect.Interfaces;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm which reproduces GH issue #5079, where option chain universes would sometimes not get removed from the
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/// UniverseManager causing new universes not to get added
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/// </summary>
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public class OptionChainUniverseRemovalRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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// initialize our changes to nothing
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private SecurityChanges _changes = SecurityChanges.None;
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private int _optionCount;
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private Symbol _lastEquityAdded;
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private Symbol _aapl;
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public override void Initialize()
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{
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_aapl = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
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UniverseSettings.Resolution = Resolution.Minute;
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SetStartDate(2014, 06, 06);
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SetEndDate(2014, 06, 10);
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var toggle = true;
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var selectionUniverse = AddUniverse(enumerable =>
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{
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if (toggle)
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{
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toggle = false;
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return new []{ _aapl };
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}
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toggle = true;
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return Enumerable.Empty<Symbol>();
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});
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AddUniverseOptions(selectionUniverse, universe =>
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{
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if (universe.Underlying == null)
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{
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throw new Exception("Underlying data point is null! This shouldn't happen, each OptionChainUniverse handles and should provide this");
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}
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return universe.IncludeWeeklys()
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.BackMonth() // back month so that they don't get removed because of being delisted
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.Contracts(universe.Take(5));
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});
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}
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public override void OnData(Slice data)
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{
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// if we have no changes, do nothing
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if (_changes == SecurityChanges.None ||
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_changes.AddedSecurities.Any(security => security.Price == 0))
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{
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return;
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}
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Debug(GetStatusLog());
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foreach (var security in _changes.AddedSecurities)
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{
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if (!security.Symbol.HasUnderlying)
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{
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_lastEquityAdded = security.Symbol;
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}
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else
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{
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// options added should all match prev added security
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if (security.Symbol.Underlying != _lastEquityAdded)
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{
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throw new Exception($"Unexpected symbol added {security.Symbol}");
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}
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_optionCount++;
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}
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}
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_changes = SecurityChanges.None;
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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Debug($"{GetStatusLog()}. CHANGES {changes}");
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if (Time.Day == 6)
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{
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if (Time.Hour != 0 && Time.Hour != 9)
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{
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throw new Exception($"Unexpected SecurityChanges time: {Time} {changes}");
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}
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if (changes.RemovedSecurities.Count != 0)
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{
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throw new Exception($"Unexpected removals: {changes}");
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}
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if (Time.Hour == 0)
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{
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// first we expect the equity to get Added
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if (changes.AddedSecurities.Count != 1 || changes.AddedSecurities[0].Symbol != _aapl)
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{
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throw new Exception($"Unexpected SecurityChanges: {changes}");
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}
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}
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else
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{
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// later we expect the options to be Added
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if (changes.AddedSecurities.Count != 5 || changes.AddedSecurities.Any(security => security.Symbol.SecurityType != SecurityType.Option))
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{
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throw new Exception($"Unexpected SecurityChanges: {changes}");
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}
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}
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}
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// We expect the equity to get Removed
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else if (Time.Day == 7)
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{
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if (Time.Hour != 0)
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{
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throw new Exception($"Unexpected SecurityChanges time: {Time} {changes}");
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}
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if (changes.AddedSecurities.Count != 0)
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{
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throw new Exception($"Unexpected additions: {changes}");
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}
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if (changes.RemovedSecurities.Count != 1 || changes.RemovedSecurities[0].Symbol != _aapl)
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{
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throw new Exception($"Unexpected SecurityChanges: {changes}");
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}
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}
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// We expect the options to get Removed, happens in the next loop after removing the equity
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else if (Time.Day == 9)
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{
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if (Time.Hour != 0)
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{
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throw new Exception($"Unexpected SecurityChanges time: {Time} {changes}");
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}
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// later we expect the options to be Removed
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if (changes.RemovedSecurities.Count != 6
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// the removal of the raw underlying subscription from the option chain universe
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|| changes.RemovedSecurities.Single(security => security.Symbol.SecurityType != SecurityType.Option).Symbol != _aapl
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// the removal of the 5 option contracts
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|| changes.RemovedSecurities.Count(security => security.Symbol.SecurityType == SecurityType.Option) != 5)
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{
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throw new Exception($"Unexpected SecurityChanges: {changes}");
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}
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}
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_changes += changes;
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}
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public override void OnEndOfAlgorithm()
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{
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if (_optionCount == 0)
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{
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throw new Exception("Option universe chain did not add any option!");
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}
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if (UniverseManager.Any(pair => pair.Value.DisposeRequested))
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{
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throw new Exception("There shouldn't be any disposed universe, they should be removed and replaced by new universes");
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}
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}
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private string GetStatusLog()
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{
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Plot("Status", "UniverseCount", UniverseManager.Count);
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Plot("Status", "SubscriptionCount", SubscriptionManager.Subscriptions.Count());
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Plot("Status", "ActiveSymbolsCount", UniverseManager.ActiveSecurities.Count);
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return $"{Time} | UniverseCount {UniverseManager.Count}. " +
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$"SubscriptionCount {SubscriptionManager.Subscriptions.Count()}. " +
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$"ActiveSymbols {string.Join(",", UniverseManager.ActiveSecurities.Keys)}";
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}
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/// <summary>
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/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
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/// </summary>
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public bool CanRunLocally { get; } = true;
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public Language[] Languages { get; } = { Language.CSharp };
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Trades", "0"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "0%"},
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{"Drawdown", "0%"},
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{"Expectancy", "0"},
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{"Net Profit", "0%"},
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{"Sharpe Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "0%"},
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{"Loss Rate", "0%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "0"},
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{"Beta", "0"},
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{"Annual Standard Deviation", "0"},
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{"Annual Variance", "0"},
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{"Information Ratio", "-9.31"},
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{"Tracking Error", "0.008"},
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{"Treynor Ratio", "0"},
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{"Total Fees", "$0.00"},
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{"Estimated Strategy Capacity", "$0"},
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{"Fitness Score", "0"},
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{"Kelly Criterion Estimate", "0"},
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{"Kelly Criterion Probability Value", "0"},
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{"Sortino Ratio", "79228162514264337593543950335"},
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{"Return Over Maximum Drawdown", "79228162514264337593543950335"},
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{"Portfolio Turnover", "0"},
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{"Total Insights Generated", "0"},
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{"Total Insights Closed", "0"},
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{"Total Insights Analysis Completed", "0"},
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{"Long Insight Count", "0"},
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{"Short Insight Count", "0"},
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{"Long/Short Ratio", "100%"},
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{"Estimated Monthly Alpha Value", "$0"},
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{"Total Accumulated Estimated Alpha Value", "$0"},
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{"Mean Population Estimated Insight Value", "$0"},
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{"Mean Population Direction", "0%"},
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{"Mean Population Magnitude", "0%"},
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{"Rolling Averaged Population Direction", "0%"},
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{"Rolling Averaged Population Magnitude", "0%"},
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{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
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};
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}
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}
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