chore: import upstream snapshot with attribution
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/*
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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 QuantConnect.Data;
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using QuantConnect.Data.Consolidators;
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using QuantConnect.Data.UniverseSelection;
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using QuantConnect.Indicators;
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namespace QuantConnect.Algorithm.Framework.Alphas
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{
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/// <summary>
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/// Uses Wilder's RSI to create insights. Using default settings, a cross over below 30 or above 70 will
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/// trigger a new insight.
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/// </summary>
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public class RsiAlphaModel : AlphaModel
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{
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private readonly Dictionary<Symbol, SymbolData> _symbolDataBySymbol = new Dictionary<Symbol, SymbolData>();
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private readonly int _period;
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private readonly Resolution _resolution;
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/// <summary>
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/// Initializes a new instance of the <see cref="RsiAlphaModel"/> class
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/// </summary>
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/// <param name="period">The RSI indicator period</param>
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/// <param name="resolution">The resolution of data sent into the RSI indicator</param>
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public RsiAlphaModel(
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int period = 14,
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Resolution resolution = Resolution.Daily
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)
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{
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_period = period;
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_resolution = resolution;
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Name = $"{nameof(RsiAlphaModel)}({_period},{_resolution})";
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}
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/// <summary>
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/// Updates this alpha model with the latest data from the algorithm.
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/// This is called each time the algorithm receives data for subscribed securities
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/// </summary>
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/// <param name="algorithm">The algorithm instance</param>
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/// <param name="data">The new data available</param>
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/// <returns>The new insights generated</returns>
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public override IEnumerable<Insight> Update(QCAlgorithm algorithm, Slice data)
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{
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var insights = new List<Insight>();
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foreach (var kvp in _symbolDataBySymbol)
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{
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var symbol = kvp.Key;
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var rsi = kvp.Value.RSI;
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var previousState = kvp.Value.State;
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var state = GetState(rsi, previousState);
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if (state != previousState && rsi.IsReady)
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{
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var insightPeriod = _resolution.ToTimeSpan().Multiply(_period);
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switch (state)
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{
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case State.TrippedLow:
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insights.Add(Insight.Price(symbol, insightPeriod, InsightDirection.Up));
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break;
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case State.TrippedHigh:
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insights.Add(Insight.Price(symbol, insightPeriod, InsightDirection.Down));
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break;
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}
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}
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kvp.Value.State = state;
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}
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return insights;
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}
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/// <summary>
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/// Cleans out old security data and initializes the RSI for any newly added securities.
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/// This functional also seeds any new indicators using a history request.
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/// </summary>
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/// <param name="algorithm">The algorithm instance that experienced the change in securities</param>
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/// <param name="changes">The security additions and removals from the algorithm</param>
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public override void OnSecuritiesChanged(QCAlgorithm algorithm, SecurityChanges changes)
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{
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// clean up data for removed securities
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foreach (var security in changes.RemovedSecurities)
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{
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SymbolData symbolData;
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if (_symbolDataBySymbol.TryGetValue(security.Symbol, out symbolData))
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{
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_symbolDataBySymbol.Remove(security.Symbol);
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symbolData.Dispose();
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}
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}
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// initialize data for added securities
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var addedSymbols = new List<Symbol>();
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foreach (var added in changes.AddedSecurities)
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{
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if (!_symbolDataBySymbol.ContainsKey(added.Symbol))
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{
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var symbolData = new SymbolData(algorithm, added.Symbol, _period, _resolution);
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_symbolDataBySymbol[added.Symbol] = symbolData;
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addedSymbols.Add(added.Symbol);
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}
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}
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if (addedSymbols.Count > 0)
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{
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// warmup our indicators by pushing history through the consolidators
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algorithm.History(addedSymbols, _period, _resolution)
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.PushThrough(data =>
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{
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SymbolData symbolData;
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if (_symbolDataBySymbol.TryGetValue(data.Symbol, out symbolData))
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{
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symbolData.Update(data);
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}
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});
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}
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}
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/// <summary>
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/// Determines the new state. This is basically cross-over detection logic that
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/// includes considerations for bouncing using the configured bounce tolerance.
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/// </summary>
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private State GetState(RelativeStrengthIndex rsi, State previous)
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{
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if (rsi > 70m)
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{
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return State.TrippedHigh;
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}
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if (rsi < 30m)
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{
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return State.TrippedLow;
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}
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if (previous == State.TrippedLow)
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{
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if (rsi > 35m)
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{
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return State.Middle;
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}
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}
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if (previous == State.TrippedHigh)
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{
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if (rsi < 65m)
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{
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return State.Middle;
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}
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}
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return previous;
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}
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/// <summary>
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/// Contains data specific to a symbol required by this model
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/// </summary>
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private class SymbolData : IDisposable
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{
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public State State { get; set; }
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public RelativeStrengthIndex RSI { get; }
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private Symbol _symbol { get; }
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private QCAlgorithm _algorithm;
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private IDataConsolidator _consolidator;
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public SymbolData(QCAlgorithm algorithm, Symbol symbol, int period, Resolution resolution)
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{
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_algorithm = algorithm;
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_symbol = symbol;
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State = State.Middle;
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RSI = new RelativeStrengthIndex(period, MovingAverageType.Wilders);
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_consolidator = _algorithm.ResolveConsolidator(symbol, resolution);
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algorithm.RegisterIndicator(symbol, RSI, _consolidator);
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}
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public void Update(BaseData bar)
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{
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_consolidator.Update(bar);
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}
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public void Dispose()
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{
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_algorithm.SubscriptionManager.RemoveConsolidator(_symbol, _consolidator);
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}
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}
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/// <summary>
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/// Defines the state. This is used to prevent signal spamming and aid in bounce detection.
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/// </summary>
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private enum State
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{
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TrippedLow,
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Middle,
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TrippedHigh
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}
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}
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}
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