153 lines
5.2 KiB
C#
153 lines
5.2 KiB
C#
/*
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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 System.Linq;
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using QuantConnect.Data.Market;
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using QuantConnect.Indicators;
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namespace QuantConnect.Algorithm.Examples
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{
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/// <summary>
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/// Constructs a displaced moving average ribbon and buys when all are lined up, liquidates when they all line down
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/// Ribbons are great for visualizing trends
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/// Signals are generated when they all line up in a paricular direction
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/// A buy signal is when the values of the indicators are increasing (from slowest to fastest)
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/// A sell signal is when the values of the indicators are decreasing (from slowest to fastest)
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/// </summary>
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public class DisplacedMovingAverageRibbon : QCAlgorithm
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{
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private const string Symbol = "SPY";
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private IndicatorBase<IndicatorDataPoint>[] _ribbon;
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/// <summary>
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/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
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/// </summary>
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/// <seealso cref="QCAlgorithm.SetStartDate(System.DateTime)"/>
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/// <seealso cref="QCAlgorithm.SetEndDate(System.DateTime)"/>
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/// <seealso cref="QCAlgorithm.SetCash(decimal)"/>
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public override void Initialize()
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{
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SetStartDate(2009, 01, 01);
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SetEndDate(2015, 01, 01);
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AddSecurity(SecurityType.Equity, Symbol, Resolution.Minute);
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int count = 6;
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int offset = 5;
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int period = 15;
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// define our sma as the base of the ribbon
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var sma = new SimpleMovingAverage(period);
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_ribbon = Enumerable.Range(0, count).Select(x =>
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{
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// define our offset to the zero sma, these various offsets will create our 'displaced' ribbon
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var delay = new Delay(offset*(x+1));
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// define an indicator that takes the output of the sma and pipes it into our delay indicator
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var delayedSma = delay.Of(sma);
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// register our new 'delayedSma' for automaic updates on a daily resolution
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RegisterIndicator(Symbol, delayedSma, Resolution.Daily, data => data.Value);
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return delayedSma;
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}).ToArray();
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}
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private DateTime _previous;
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/// <summary>
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/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
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/// </summary>
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/// <param name="data">TradeBars IDictionary object with your stock data</param>
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public void OnData(TradeBars data)
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{
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// wait for our entire ribbon to be ready
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if (!_ribbon.All(x => x.IsReady)) return;
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// only once per day
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if (_previous.Date == data.Time.Date) return;
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Plot(Symbol, "Price", data[Symbol].Price);
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Plot(Symbol, _ribbon);
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// check for a buy signal
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var values = _ribbon.Select(x => x.Current.Value).ToArray();
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var holding = Portfolio[Symbol];
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if (holding.Quantity <= 0 && IsAscending(values))
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{
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SetHoldings(Symbol, 1.0);
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}
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else if (holding.Quantity > 0 && IsDescending(values))
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{
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Liquidate(Symbol);
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}
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_previous = data.Time;
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}
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/// <summary>
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/// Returns true if the specified values are in ascending order
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/// </summary>
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private bool IsAscending(IEnumerable<decimal> values)
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{
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decimal? last = null;
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foreach (var val in values)
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{
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if (last == null)
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{
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last = val;
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continue;
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}
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if (last.Value < val)
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{
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return false;
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}
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last = val;
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}
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return true;
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}
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/// <summary>
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/// Returns true if the specified values are in descending order
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/// </summary>
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private bool IsDescending(IEnumerable<decimal> values)
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{
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decimal? last = null;
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foreach (var val in values)
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{
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if (last == null)
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{
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last = val;
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continue;
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}
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if (last.Value > val)
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{
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return false;
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}
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last = val;
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}
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return true;
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}
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}
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}
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