5ae4b3da0c
Typo and unnused variable removal.
104 lines
4.5 KiB
C#
104 lines
4.5 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 QuantConnect.Algorithm.Framework;
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using QuantConnect.Algorithm.Framework.Alphas;
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using QuantConnect.Data.Market;
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using QuantConnect.Indicators;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Demonstration algorithm showing how to easily convert an old algorithm into the framework.
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///
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/// 1. Make class derive from QCAlgorithmFrameworkBridge instead of QCAlgorithm.
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/// 2. When making orders, also create insights for the correct direction (up/down), can also set insight prediction period/magnitude/direction
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/// 3. Profit :)
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/// </summary>
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/// <meta name="tag" content="indicators" />
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/// <meta name="tag" content="indicator classes" />
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/// <meta name="tag" content="plotting indicators" />
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public class ConvertToFrameworkAlgorithm : QCAlgorithmFrameworkBridge // 1. Derive from QCAlgorithmFrameworkBridge
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{
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private MovingAverageConvergenceDivergence _macd;
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private readonly string _symbol = "SPY";
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public readonly int FastEmaPeriod = 12;
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public readonly int SlowEmaPeriod = 26;
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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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public override void Initialize()
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{
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SetStartDate(2004, 01, 01);
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SetEndDate(2015, 01, 01);
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AddSecurity(SecurityType.Equity, _symbol, Resolution.Daily);
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// define our daily macd(12,26) with a 9 day signal
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_macd = MACD(_symbol, FastEmaPeriod, SlowEmaPeriod, 9, MovingAverageType.Exponential, Resolution.Daily);
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}
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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 indicator to be ready
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if (!_macd.IsReady) return;
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var holding = Portfolio[_symbol];
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var signalDeltaPercent = (_macd - _macd.Signal) / _macd.Fast;
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var tolerance = 0.0025m;
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// if our macd is greater than our signal, then let's go long
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if (holding.Quantity <= 0 && signalDeltaPercent > tolerance)
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{
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// 2. Call EmitInsights with insights created in correct direction, here we're going long
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// The EmitInsights method can accept multiple insights separated by commas
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EmitInsights(
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// Creates an insight for our symbol, predicting that it will move up within the fast ema period number of days
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Insight.Price(_symbol, TimeSpan.FromDays(FastEmaPeriod), InsightDirection.Up)
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);
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// longterm says buy as well
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SetHoldings(_symbol, 1.0);
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}
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// if our macd is less than our signal, then let's go short
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else if (holding.Quantity >= 0 && signalDeltaPercent < -tolerance)
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{
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// 2. Call EmitInsights with insights created in correct direction, here we're going short
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// The EmitInsights method can accept multiple insights separated by commas
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EmitInsights(
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// Creates an insight for our symbol, predicting that it will move down within the fast ema period number of days
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Insight.Price(_symbol, TimeSpan.FromDays(FastEmaPeriod), InsightDirection.Down)
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);
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// shortterm says sell as well
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SetHoldings(_symbol, -1.0);
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}
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// plot both lines
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Plot("MACD", _macd, _macd.Signal);
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Plot(_symbol, "Open", data[_symbol].Open);
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Plot(_symbol, _macd.Fast, _macd.Slow);
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}
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}
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}
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