chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:02:50 +08:00
commit 0fc60fdcb1
5008 changed files with 910633 additions and 0 deletions
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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.
*/
using System;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Util;
namespace QuantConnect.Securities.Volatility
{
/// <summary>
/// Represents a base model that computes the volatility of a security
/// </summary>
public class BaseVolatilityModel : IVolatilityModel
{
/// <summary>
/// Provides access to registered <see cref="SubscriptionDataConfig"/>
/// </summary>
protected ISubscriptionDataConfigProvider SubscriptionDataConfigProvider { get; set; }
/// <summary>
/// Gets the volatility of the security as a percentage
/// </summary>
public virtual decimal Volatility { get; }
/// <summary>
/// Sets the <see cref="ISubscriptionDataConfigProvider"/> instance to use.
/// </summary>
/// <param name="subscriptionDataConfigProvider">Provides access to registered <see cref="SubscriptionDataConfig"/></param>
public virtual void SetSubscriptionDataConfigProvider(
ISubscriptionDataConfigProvider subscriptionDataConfigProvider)
{
SubscriptionDataConfigProvider = subscriptionDataConfigProvider;
}
/// <summary>
/// Updates this model using the new price information in
/// the specified security instance
/// </summary>
/// <param name="security">The security to calculate volatility for</param>
/// <param name="data">The new data used to update the model</param>
public virtual void Update(Security security, BaseData data)
{
}
/// <summary>
/// Returns history requirements for the volatility model expressed in the form of history request
/// </summary>
/// <param name="security">The security of the request</param>
/// <param name="utcTime">The date/time of the request</param>
/// <returns>History request object list, or empty if no requirements</returns>
public virtual IEnumerable<HistoryRequest> GetHistoryRequirements(Security security, DateTime utcTime)
{
return Enumerable.Empty<HistoryRequest>();
}
/// <summary>
/// Gets history requests required for warming up the greeks with the provided resolution
/// </summary>
/// <param name="security">Security to get history for</param>
/// <param name="utcTime">UTC time of the request (end time)</param>
/// <param name="resolution">Resolution of the security</param>
/// <param name="barCount">Number of bars to lookback for the start date</param>
/// <returns>Enumerable of history requests</returns>
/// <exception cref="InvalidOperationException">The <see cref="SubscriptionDataConfigProvider"/> has not been set</exception>
public IEnumerable<HistoryRequest> GetHistoryRequirements(
Security security,
DateTime utcTime,
Resolution? resolution,
int barCount)
{
if (SubscriptionDataConfigProvider == null)
{
throw new InvalidOperationException(
"BaseVolatilityModel.GetHistoryRequirements(): " +
"SubscriptionDataConfigProvider was not set."
);
}
var configurations = SubscriptionDataConfigProvider
.GetSubscriptionDataConfigs(security.Symbol)
.OrderBy(c => c.TickType)
.ToList();
var configuration = configurations.First();
var bar = configuration.Type.GetBaseDataInstance();
bar.Symbol = security.Symbol;
var historyResolution = resolution ?? bar.SupportedResolutions().Max();
var periodSpan = historyResolution.ToTimeSpan();
// hour resolution does no have extended market hours data
var extendedMarketHours = periodSpan != Time.OneHour && configurations.IsExtendedMarketHours();
var localStartTime = Time.GetStartTimeForTradeBars(
security.Exchange.Hours,
utcTime.ConvertFromUtc(security.Exchange.TimeZone),
periodSpan,
barCount,
extendedMarketHours,
configuration.DataTimeZone, dailyPreciseEndTime: false);
var utcStartTime = localStartTime.ConvertToUtc(security.Exchange.TimeZone);
return new[]
{
new HistoryRequest(utcStartTime,
utcTime,
configuration.Type,
configuration.Symbol,
historyResolution,
security.Exchange.Hours,
configuration.DataTimeZone,
historyResolution,
extendedMarketHours,
configurations.IsCustomData(),
configuration.DataNormalizationMode,
LeanData.GetCommonTickTypeForCommonDataTypes(configuration.Type, security.Type))
};
}
}
}
@@ -0,0 +1,73 @@
/*
* 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 QuantConnect.Data;
using System;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Securities.Volatility;
namespace QuantConnect.Securities
{
/// <summary>
/// Represents a model that computes the volatility of a security
/// </summary>
/// <remarks>Please use<see cref="BaseVolatilityModel"/> as the base class for
/// any implementations of<see cref="IVolatilityModel"/></remarks>
public interface IVolatilityModel
{
/// <summary>
/// Gets the volatility of the security as a percentage
/// </summary>
decimal Volatility { get; }
/// <summary>
/// Updates this model using the new price information in
/// the specified security instance
/// </summary>
/// <param name="security">The security to calculate volatility for</param>
/// <param name="data">The new data used to update the model</param>
void Update(Security security, BaseData data);
/// <summary>
/// Returns history requirements for the volatility model expressed in the form of history request
/// </summary>
/// <param name="security">The security of the request</param>
/// <param name="utcTime">The date/time of the request</param>
/// <returns>History request object list, or empty if no requirements</returns>
IEnumerable<HistoryRequest> GetHistoryRequirements(Security security, DateTime utcTime);
}
/// <summary>
/// Provides access to a null implementation for <see cref="IVolatilityModel"/>
/// </summary>
public static class VolatilityModel
{
/// <summary>
/// Gets an instance of <see cref="IVolatilityModel"/> that will always
/// return 0 for its volatility and does nothing during Update.
/// </summary>
public static readonly IVolatilityModel Null = new NullVolatilityModel();
private sealed class NullVolatilityModel : IVolatilityModel
{
public decimal Volatility { get; private set; }
public void Update(Security security, BaseData data) { }
public IEnumerable<HistoryRequest> GetHistoryRequirements(Security security, DateTime utcTime) { return Enumerable.Empty<HistoryRequest>(); }
}
}
}
@@ -0,0 +1,80 @@
/*
* 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 QuantConnect.Data;
using QuantConnect.Indicators;
using QuantConnect.Securities.Volatility;
namespace QuantConnect.Securities
{
/// <summary>
/// Provides an implementation of <see cref="IVolatilityModel"/> that uses an indicator
/// to compute its value
/// </summary>
public class IndicatorVolatilityModel : BaseVolatilityModel
{
private readonly IIndicator _indicator;
private readonly Action<Security, BaseData, IIndicator> _indicatorUpdate;
/// <summary>
/// Gets the volatility of the security as a percentage
/// </summary>
public override decimal Volatility
{
get { return _indicator.Current.Value; }
}
/// <summary>
/// Initializes a new instance of the <see cref="IVolatilityModel"/> using
/// the specified <paramref name="indicator"/>. The <paramref name="indicator"/>
/// is assumed to but updated externally from this model, such as being registered
/// into the consolidator system.
/// </summary>
/// <param name="indicator">The auto-updating indicator</param>
public IndicatorVolatilityModel(IIndicator indicator)
{
_indicator = indicator;
}
/// <summary>
/// Initializes a new instance of the <see cref="IVolatilityModel"/> using
/// the specified <paramref name="indicator"/>. The <paramref name="indicator"/>
/// is assumed to but updated externally from this model, such as being registered
/// into the consolidator system.
/// </summary>
/// <param name="indicator">The auto-updating indicator</param>
/// <param name="indicatorUpdate">Function delegate used to update the indicator on each call to <see cref="Update"/></param>
public IndicatorVolatilityModel(IIndicator indicator, Action<Security, BaseData, IIndicator> indicatorUpdate)
{
_indicator = indicator;
_indicatorUpdate = indicatorUpdate;
}
/// <summary>
/// Updates this model using the new price information in
/// the specified security instance
/// </summary>
/// <param name="security">The security to calculate volatility for</param>
/// <param name="data">The new piece of data for the security</param>
public override void Update(Security security, BaseData data)
{
if (_indicatorUpdate != null)
{
_indicatorUpdate(security, data, _indicator);
}
}
}
}
@@ -0,0 +1,153 @@
/*
* 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
{
/// <summary>
/// Provides an implementation of <see cref="IVolatilityModel"/> that computes the
/// relative standard deviation as the volatility of the security
/// </summary>
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<double> _window;
/// <summary>
/// Gets the volatility of the security as a percentage
/// </summary>
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;
}
}
/// <summary>
/// Initializes a new instance of the <see cref="RelativeStandardDeviationVolatilityModel"/> class
/// </summary>
/// <param name="periodSpan">The time span representing one 'period' length</param>
/// <param name="periods">The number of 'period' lengths to wait until updating the value</param>
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<double>(periods);
_lastUpdate = GetLastUpdateInitialValue(periodSpan, periods);
}
/// <summary>
/// Updates this model using the new price information in
/// the specified security instance
/// </summary>
/// <param name="security">The security to calculate volatility for</param>
/// <param name="data"></param>
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;
}
}
/// <summary>
/// Returns history requirements for the volatility model expressed in the form of history request
/// </summary>
/// <param name="security">The security of the request</param>
/// <param name="utcTime">The date/time of the request</param>
/// <returns>History request object list, or empty if no requirements</returns>
public override IEnumerable<HistoryRequest> 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);
}
/// <summary>
/// Resets the model to its initial state
/// </summary>
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);
}
}
}
@@ -0,0 +1,204 @@
/*
* 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 MathNet.Numerics.Statistics;
using QuantConnect.Data;
using QuantConnect.Indicators;
using QuantConnect.Securities.Volatility;
namespace QuantConnect.Securities
{
/// <summary>
/// Provides an implementation of <see cref="IVolatilityModel"/> that computes the
/// annualized sample standard deviation of daily returns as the volatility of the security
/// </summary>
public class StandardDeviationOfReturnsVolatilityModel : BaseVolatilityModel
{
private bool _needsUpdate;
private decimal _volatility;
private DateTime _lastUpdate = DateTime.MinValue;
private decimal _lastPrice;
private Resolution? _resolution;
private TimeSpan _periodSpan;
private readonly object _sync = new object();
private RollingWindow<double> _window;
/// <summary>
/// Gets the volatility of the security as a percentage
/// </summary>
public override decimal Volatility
{
get
{
lock (_sync)
{
if (_window.Count < 2)
{
return 0m;
}
if (_needsUpdate)
{
_needsUpdate = false;
var std = _window.StandardDeviation().SafeDecimalCast();
_volatility = std * (decimal)Math.Sqrt(252.0);
}
}
return _volatility;
}
}
/// <summary>
/// Initializes a new instance of the <see cref="StandardDeviationOfReturnsVolatilityModel"/> class
/// </summary>
/// <param name="periods">The max number of samples in the rolling window to be considered for calculating the standard deviation of returns</param>
/// <param name="resolution">
/// Resolution of the price data inserted into the rolling window series to calculate standard deviation.
/// Will be used as the default value for update frequency if a value is not provided for <paramref name="updateFrequency"/>.
/// This only has a material effect in live mode. For backtesting, this value does not cause any behavioral changes.
/// </param>
/// <param name="updateFrequency">Frequency at which we insert new values into the rolling window for the standard deviation calculation</param>
/// <remarks>
/// The volatility model will be updated with the most granular/highest resolution data that was added to your algorithm.
/// That means that if I added <see cref="Resolution.Tick"/> data for my Futures strategy, that this model will be
/// updated using <see cref="Resolution.Tick"/> data as the algorithm progresses in time.
///
/// Keep this in mind when setting the period and update frequency. The Resolution parameter is only used for live mode, or for
/// the default value of the <paramref name="updateFrequency"/> if no value is provided.
/// </remarks>
public StandardDeviationOfReturnsVolatilityModel(
int periods,
Resolution? resolution = null,
TimeSpan? updateFrequency = null
)
{
if (periods < 2)
{
throw new ArgumentOutOfRangeException(nameof(periods), "'periods' must be greater than or equal to 2.");
}
_window = new RollingWindow<double>(periods);
_resolution = resolution;
_periodSpan = updateFrequency ?? resolution?.ToTimeSpan() ?? TimeSpan.FromDays(1);
}
/// <summary>
/// Initializes a new instance of the <see cref="StandardDeviationOfReturnsVolatilityModel"/> class
/// </summary>
/// <param name="resolution">
/// Resolution of the price data inserted into the rolling window series to calculate standard deviation.
/// Will be used as the default value for update frequency if a value is not provided for <paramref name="updateFrequency"/>.
/// This only has a material effect in live mode. For backtesting, this value does not cause any behavioral changes.
/// </param>
/// <param name="updateFrequency">Frequency at which we insert new values into the rolling window for the standard deviation calculation</param>
/// <remarks>
/// The volatility model will be updated with the most granular/highest resolution data that was added to your algorithm.
/// That means that if I added <see cref="Resolution.Tick"/> data for my Futures strategy, that this model will be
/// updated using <see cref="Resolution.Tick"/> data as the algorithm progresses in time.
///
/// Keep this in mind when setting the period and update frequency. The Resolution parameter is only used for live mode, or for
/// the default value of the <paramref name="updateFrequency"/> if no value is provided.
/// </remarks>
public StandardDeviationOfReturnsVolatilityModel(
Resolution resolution,
TimeSpan? updateFrequency = null
) : this(PeriodsInResolution(resolution), resolution, updateFrequency)
{
}
/// <summary>
/// Updates this model using the new price information in
/// the specified security instance
/// </summary>
/// <param name="security">The security to calculate volatility for</param>
/// <param name="data">Data to update the volatility model with</param>
public override void Update(Security security, BaseData data)
{
var timeSinceLastUpdate = data.EndTime - _lastUpdate;
if (timeSinceLastUpdate >= _periodSpan && data.Price > 0)
{
lock (_sync)
{
if (_lastPrice > 0.0m)
{
_needsUpdate = true;
_window.Add((double)(data.Price / _lastPrice) - 1.0);
}
}
_lastUpdate = data.EndTime;
_lastPrice = data.Price;
}
}
/// <summary>
/// Returns history requirements for the volatility model expressed in the form of history request
/// </summary>
/// <param name="security">The security of the request</param>
/// <param name="utcTime">The date of the request</param>
/// <returns>History request object list, or empty if no requirements</returns>
public override IEnumerable<HistoryRequest> GetHistoryRequirements(Security security, DateTime utcTime)
{
// Let's reset the model since it will get warmed up again using these history requirements
Reset();
return GetHistoryRequirements(
security,
utcTime,
_resolution,
_window.Size + 1);
}
/// <summary>
/// Resets the model to its initial state
/// </summary>
private void Reset()
{
_needsUpdate = false;
_volatility = 0m;
_lastUpdate = DateTime.MinValue;
_lastPrice = 0m;
_window.Reset();
}
private static int PeriodsInResolution(Resolution resolution)
{
int periods;
switch (resolution)
{
case Resolution.Tick:
case Resolution.Second:
periods = 600;
break;
case Resolution.Minute:
periods = 60 * 24;
break;
case Resolution.Hour:
periods = 24 * 30;
break;
default:
periods = 30;
break;
}
return periods;
}
}
}
@@ -0,0 +1,177 @@
/*
* 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 NodaTime;
using QuantConnect.Data;
using QuantConnect.Interfaces;
namespace QuantConnect.Securities.Volatility
{
/// <summary>
/// Provides extension methods to volatility models
/// </summary>
public static class VolatilityModelExtensions
{
/// <summary>
/// Warms up the security's volatility model.
/// This can happen either on initialization or after a split or dividend is processed.
/// </summary>
/// <param name="volatilityModel">The volatility model to be warmed up</param>
/// <param name="historyProvider">The history provider to use to get historical data</param>
/// <param name="subscriptionManager">The subscription manager to use</param>
/// <param name="security">The security which volatility model is being warmed up</param>
/// <param name="utcTime">The current UTC time</param>
/// <param name="timeZone">The algorithm time zone</param>
/// <param name="liveMode">Whether the algorithm is in live mode</param>
/// <param name="dataNormalizationMode">The security subscribed data normalization mode</param>
public static void WarmUp(
this IVolatilityModel volatilityModel,
IHistoryProvider historyProvider,
SubscriptionManager subscriptionManager,
Security security,
DateTime utcTime,
DateTimeZone timeZone,
bool liveMode,
DataNormalizationMode? dataNormalizationMode = null)
{
volatilityModel.WarmUp(
historyProvider,
subscriptionManager,
security,
timeZone,
liveMode,
dataNormalizationMode,
() => volatilityModel.GetHistoryRequirements(security, utcTime));
}
/// <summary>
/// Warms up the security's volatility model.
/// This can happen either on initialization or after a split or dividend is processed.
/// </summary>
/// <param name="volatilityModel">The volatility model to be warmed up</param>
/// <param name="historyProvider">The history provider to use to get historical data</param>
/// <param name="subscriptionManager">The subscription manager to use</param>
/// <param name="security">The security which volatility model is being warmed up</param>
/// <param name="utcTime">The current UTC time</param>
/// <param name="timeZone">The algorithm time zone</param>
/// <param name="resolution">The data resolution required for the indicator</param>
/// <param name="barCount">The bar count required to fully warm the indicator up</param>
/// <param name="liveMode">Whether the algorithm is in live mode</param>
/// <param name="dataNormalizationMode">The security subscribed data normalization mode</param>
public static void WarmUp(
this IndicatorVolatilityModel volatilityModel,
IHistoryProvider historyProvider,
SubscriptionManager subscriptionManager,
Security security,
DateTime utcTime,
DateTimeZone timeZone,
Resolution? resolution,
int barCount,
bool liveMode,
DataNormalizationMode? dataNormalizationMode = null)
{
volatilityModel.WarmUp(
historyProvider,
subscriptionManager,
security,
timeZone,
liveMode,
dataNormalizationMode,
() => volatilityModel.GetHistoryRequirements(security, utcTime, resolution, barCount));
}
/// <summary>
/// Warms up the security's volatility model.
/// This can happen either on initialization or after a split or dividend is processed.
/// </summary>
/// <param name="volatilityModel">The volatility model to be warmed up</param>
/// <param name="algorithm">The algorithm running</param>
/// <param name="security">The security which volatility model is being warmed up</param>
/// <param name="resolution">The data resolution required for the indicator</param>
/// <param name="barCount">The bar count required to fully warm the indicator up</param>
/// <param name="dataNormalizationMode">The security subscribed data normalization mode</param>
public static void WarmUp(
this IndicatorVolatilityModel volatilityModel,
IAlgorithm algorithm,
Security security,
Resolution? resolution,
int barCount,
DataNormalizationMode? dataNormalizationMode = null)
{
volatilityModel.WarmUp(
algorithm.HistoryProvider,
algorithm.SubscriptionManager,
security,
algorithm.UtcTime,
algorithm.TimeZone,
resolution,
barCount,
algorithm.LiveMode,
dataNormalizationMode);
}
private static void WarmUp(
this IVolatilityModel volatilityModel,
IHistoryProvider historyProvider,
SubscriptionManager subscriptionManager,
Security security,
DateTimeZone timeZone,
bool liveMode,
DataNormalizationMode? dataNormalizationMode,
Func<IEnumerable<HistoryRequest>> getHistoryRequirementsFunc)
{
if (historyProvider == null || security == null || volatilityModel == VolatilityModel.Null)
{
return;
}
// start: this is a work around to maintain retro compatibility
// did not want to add IVolatilityModel.SetSubscriptionDataConfigProvider
// to prevent breaking existing user models.
var baseTypeModel = volatilityModel as BaseVolatilityModel;
baseTypeModel?.SetSubscriptionDataConfigProvider(subscriptionManager.SubscriptionDataConfigService);
// end
// Warm up
var historyRequests = getHistoryRequirementsFunc().ToList();
if (liveMode || (dataNormalizationMode.HasValue && dataNormalizationMode == DataNormalizationMode.Raw))
{
// If we're in live mode or raw mode, we need to warm up the volatility model with scaled raw data
// to avoid jumps in volatility values due to price discontinuities on splits and dividends
foreach (var request in historyRequests)
{
request.DataNormalizationMode = DataNormalizationMode.ScaledRaw;
}
}
var history = historyProvider.GetHistory(historyRequests, timeZone);
foreach (var slice in history)
{
foreach (var request in historyRequests)
{
if (slice.TryGet(request.DataType, security.Symbol, out var data))
{
volatilityModel.Update(security, data);
}
}
}
}
}
}