/* * 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.Market; using Python.Runtime; namespace QuantConnect.Data.Consolidators { /// /// A data consolidator that can make bigger bars from smaller ones over a given /// time span or a count of pieces of data. /// /// Use this consolidator to turn data of a lower resolution into data of a higher resolution, /// for example, if you subscribe to minute data but want to have a 15 minute bar. /// public class TradeBarConsolidator : TradeBarConsolidatorBase { /// /// Create a new TradeBarConsolidator for the desired resolution /// /// The resolution desired /// A consolidator that produces data on the resolution interval public static TradeBarConsolidator FromResolution(Resolution resolution) { return new TradeBarConsolidator(resolution.ToTimeSpan()); } /// /// Creates a consolidator to produce a new 'TradeBar' representing the period /// /// The minimum span of time before emitting a consolidated bar public TradeBarConsolidator(TimeSpan period) : base(period) { } /// /// Creates a consolidator to produce a new 'TradeBar' representing the last count pieces of data /// /// The number of pieces to accept before emitting a consolidated bar public TradeBarConsolidator(int maxCount) : base(maxCount) { } /// /// Creates a consolidator to produce a new 'TradeBar' representing the last count pieces of data or the period, whichever comes first /// /// The number of pieces to accept before emitting a consolidated bar /// The minimum span of time before emitting a consolidated bar public TradeBarConsolidator(int maxCount, TimeSpan period) : base(maxCount, period) { } /// /// Creates a consolidator to produce a new 'TradeBar' representing the last count pieces of data or the period, whichever comes first /// /// Func that defines the start time of a consolidated data public TradeBarConsolidator(Func func) : base(func) { } /// /// Creates a consolidator to produce a new 'TradeBar' representing the last count pieces of data or the period, whichever comes first /// /// Python function object that defines the start time of a consolidated data public TradeBarConsolidator(PyObject pyfuncobj) : base(pyfuncobj) { } /// /// Aggregates the new 'data' into the 'workingBar'. The 'workingBar' will be /// null following the event firing /// /// The bar we're building, null if the event was just fired and we're starting a new trade bar /// The new data protected override void AggregateBar(ref TradeBar workingBar, TradeBar data) { if (workingBar == null) { workingBar = new TradeBar { Time = GetRoundedBarTime(data), Symbol = data.Symbol, Open = data.Open, High = data.High, Low = data.Low, Close = data.Close, Volume = data.Volume, DataType = MarketDataType.TradeBar, Period = IsTimeBased && Period.HasValue ? (TimeSpan)Period : data.Period }; } else { //Aggregate the working bar workingBar.Close = data.Close; workingBar.Volume += data.Volume; if (!IsTimeBased) workingBar.Period += data.Period; if (data.Low < workingBar.Low) workingBar.Low = data.Low; if (data.High > workingBar.High) workingBar.High = data.High; } } } }