/* * 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 MathNet.Numerics.Statistics; using QuantConnect.Data; using QuantConnect.Indicators; using System.Collections.Generic; using System.Linq; using QuantConnect.Securities.Volatility; using QuantConnect.Util; namespace QuantConnect.Securities { /// /// Provides an implementation of that computes the /// relative standard deviation as the volatility of the security /// public class RelativeStandardDeviationVolatilityModel : BaseVolatilityModel { private bool _needsUpdate; private decimal _volatility; private DateTime _lastUpdate; private readonly TimeSpan _periodSpan; private readonly object _sync = new object(); private readonly RollingWindow _window; /// /// Gets the volatility of the security as a percentage /// public override decimal Volatility { get { lock (_sync) { if (_window.Count < 2) { return 0m; } if (_needsUpdate) { _needsUpdate = false; var mean = Math.Abs(_window.Mean().SafeDecimalCast()); if (mean != 0m) { // volatility here is supposed to be a percentage var std = _window.StandardDeviation().SafeDecimalCast(); _volatility = std / mean; } } } return _volatility; } } /// /// Initializes a new instance of the class /// /// The time span representing one 'period' length /// The number of 'period' lengths to wait until updating the value public RelativeStandardDeviationVolatilityModel( TimeSpan periodSpan, int periods) { if (periods < 2) throw new ArgumentOutOfRangeException(nameof(periods), "'periods' must be greater than or equal to 2."); _periodSpan = periodSpan; _window = new RollingWindow(periods); _lastUpdate = GetLastUpdateInitialValue(periodSpan, periods); } /// /// Updates this model using the new price information in /// the specified security instance /// /// The security to calculate volatility for /// public override void Update(Security security, BaseData data) { var timeSinceLastUpdate = data.EndTime - _lastUpdate; if (timeSinceLastUpdate >= _periodSpan && data.Price > 0) { lock (_sync) { _needsUpdate = true; _window.Add((double)data.Price); } _lastUpdate = data.EndTime; } } /// /// Returns history requirements for the volatility model expressed in the form of history request /// /// The security of the request /// The date/time of the request /// History request object list, or empty if no requirements public override IEnumerable GetHistoryRequirements(Security security, DateTime utcTime) { if (SubscriptionDataConfigProvider == null) { throw new InvalidOperationException( "RelativeStandardDeviationVolatilityModel.GetHistoryRequirements(): " + "SubscriptionDataConfigProvider was not set." ); } // Let's reset the model since it will get warmed up again using these history requirements Reset(); var configurations = SubscriptionDataConfigProvider .GetSubscriptionDataConfigs(security.Symbol) .OrderBy(c => c.TickType) .ToList(); return GetHistoryRequirements( security, utcTime, configurations.GetHighestResolution(), _window.Size + 1); } /// /// Resets the model to its initial state /// private void Reset() { _needsUpdate = false; _volatility = 0m; _lastUpdate = GetLastUpdateInitialValue(_periodSpan, _window.Size); _window.Reset(); } private static DateTime GetLastUpdateInitialValue(TimeSpan periodSpan, int periods) { return DateTime.MinValue + TimeSpan.FromMilliseconds(periodSpan.TotalMilliseconds * periods); } } }