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/* | ||
* 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. | ||
* | ||
*/ | ||
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using System; | ||
using System.Linq; | ||
using QuantConnect.Data; | ||
using QuantConnect.Interfaces; | ||
using QuantConnect.Securities; | ||
using System.Collections.Generic; | ||
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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Regression algorithm asserting the behavior of future warmup | ||
/// </summary> | ||
public class WarmupFutureRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
private List<DateTime> _continuousWarmupTimes = new(); | ||
private List<DateTime> _chainWarmupTimes = new(); | ||
// S&P 500 EMini futures | ||
private const string RootSP500 = Futures.Indices.SP500EMini; | ||
public Symbol SP500 = QuantConnect.Symbol.Create(RootSP500, SecurityType.Future, Market.CME); | ||
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/// <summary> | ||
/// Initialize your algorithm and add desired assets. | ||
/// </summary> | ||
public override void Initialize() | ||
{ | ||
SetStartDate(2013, 10, 08); | ||
SetEndDate(2013, 10, 10); | ||
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var futureSP500 = AddFuture(RootSP500); | ||
futureSP500.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(182)); | ||
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SetWarmUp(1, Resolution.Daily); | ||
} | ||
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/// <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) | ||
{ | ||
if(IsWarmingUp && slice.ContainsKey(SP500)) | ||
{ | ||
if (Securities[SP500].AskPrice == 0) | ||
{ | ||
throw new Exception("Continuous contract price is not set!"); | ||
} | ||
_continuousWarmupTimes.Add(Time); | ||
} | ||
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foreach (var chain in slice.FutureChains) | ||
{ | ||
// find the front contract expiring no earlier than in 90 days | ||
var contract = ( | ||
from futuresContract in chain.Value.OrderBy(x => x.Expiry) | ||
where futuresContract.Expiry > Time.Date.AddDays(90) | ||
select futuresContract | ||
).FirstOrDefault(); | ||
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// if found, trade it | ||
if (contract != null) | ||
{ | ||
if (IsWarmingUp) | ||
{ | ||
if (contract.AskPrice == 0) | ||
{ | ||
throw new Exception("Contract price is not set!"); | ||
} | ||
_chainWarmupTimes.Add(Time); | ||
} | ||
else if (!Portfolio.Invested && IsMarketOpen(contract.Symbol)) | ||
{ | ||
MarketOrder(contract.Symbol, 1); | ||
} | ||
} | ||
} | ||
} | ||
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public override void OnEndOfAlgorithm() | ||
{ | ||
AssertDataTime(new DateTime(2013, 10, 07, 0, 0, 0), new DateTime(2013, 10, 08, 0, 0, 0), _chainWarmupTimes); | ||
AssertDataTime(new DateTime(2013, 10, 06, 20, 1, 0), new DateTime(2013, 10, 08, 0, 0, 0), _continuousWarmupTimes); | ||
} | ||
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private void AssertDataTime(DateTime start, DateTime end, List<DateTime> times) | ||
{ | ||
var count = 0; | ||
do | ||
{ | ||
if (Securities[SP500].Exchange.Hours.IsOpen(start.AddMinutes(-1), true)) | ||
{ | ||
if (times[count] != start) | ||
{ | ||
throw new Exception($"Unexpected time {times[count]} expected {start}"); | ||
} | ||
// if the market is closed there will be no data, so stop moving the index counter | ||
count++; | ||
} | ||
start = start.AddMinutes(1); | ||
} | ||
while (start < end); | ||
} | ||
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/// <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; | ||
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/// <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 }; | ||
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/// <summary> | ||
/// Data Points count of all timeslices of algorithm | ||
/// </summary> | ||
public long DataPoints => 88834; | ||
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/// <summary> | ||
/// Data Points count of the algorithm history | ||
/// </summary> | ||
public int AlgorithmHistoryDataPoints => 0; | ||
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/// <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", "1"}, | ||
{"Average Win", "0%"}, | ||
{"Average Loss", "0%"}, | ||
{"Compounding Annual Return", "224.153%"}, | ||
{"Drawdown", "1.500%"}, | ||
{"Expectancy", "0"}, | ||
{"Net Profit", "0.971%"}, | ||
{"Sharpe Ratio", "35.085"}, | ||
{"Probabilistic Sharpe Ratio", "0%"}, | ||
{"Loss Rate", "0%"}, | ||
{"Win Rate", "0%"}, | ||
{"Profit-Loss Ratio", "0"}, | ||
{"Alpha", "-5.591"}, | ||
{"Beta", "0.727"}, | ||
{"Annual Standard Deviation", "0.176"}, | ||
{"Annual Variance", "0.031"}, | ||
{"Information Ratio", "-151.136"}, | ||
{"Tracking Error", "0.066"}, | ||
{"Treynor Ratio", "8.515"}, | ||
{"Total Fees", "$1.85"}, | ||
{"Estimated Strategy Capacity", "$5500000.00"}, | ||
{"Lowest Capacity Asset", "ES VP274HSU1AF5"}, | ||
{"Fitness Score", "0.208"}, | ||
{"Kelly Criterion Estimate", "0"}, | ||
{"Kelly Criterion Probability Value", "0"}, | ||
{"Sortino Ratio", "17.639"}, | ||
{"Return Over Maximum Drawdown", "126.711"}, | ||
{"Portfolio Turnover", "0.208"}, | ||
{"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", "4a00c10c083332bf19a18ce24ab6d687"} | ||
}; | ||
} | ||
} |
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