138 lines
5.5 KiB
C#
138 lines
5.5 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.Data.Market;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Algorithm demonstrating custom charting support in QuantConnect.
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/// The entire charting system of quantconnect is adaptable. You can adjust it to draw whatever you'd like.
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/// Charts can be stacked, or overlayed on each other. Series can be candles, lines or scatter plots.
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/// Even the default behaviours of QuantConnect can be overridden.
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/// </summary>
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/// <meta name="tag" content="charting" />
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/// <meta name="tag" content="adding charts" />
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/// <meta name="tag" content="series types" />
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/// <meta name="tag" content="plotting indicators" />
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public class CustomChartingAlgorithm : QCAlgorithm
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{
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private decimal _fastMa;
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private decimal _slowMa;
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private decimal _lastPrice;
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private DateTime _resample;
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private TimeSpan _resamplePeriod;
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private readonly DateTime _startDate = new DateTime(2010, 3, 3);
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private readonly DateTime _endDate = new DateTime(2014, 3, 3);
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/// <summary>
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/// Called at the start of your algorithm to setup your requirements:
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/// </summary>
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public override void Initialize()
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{
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//Set the date range you want to run your algorithm:
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SetStartDate(_startDate);
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SetEndDate(_endDate);
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//Set the starting cash for your strategy:
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SetCash(100000);
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//Add any stocks you'd like to analyse, and set the resolution:
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// Find more symbols here: http://quantconnect.com/data
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var spy = AddSecurity(SecurityType.Equity, "SPY").Symbol;
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//Chart - Master Container for the Chart:
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var stockPlot = new Chart("Trade Plot");
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//On the Trade Plotter Chart we want 3 series: trades and price:
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var buyOrders = new Series("Buy", SeriesType.Scatter, 0);
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var sellOrders = new Series("Sell", SeriesType.Scatter, 0);
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var assetPrice = new Series("Price", SeriesType.Line, 0);
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stockPlot.AddSeries(buyOrders);
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stockPlot.AddSeries(sellOrders);
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stockPlot.AddSeries(assetPrice);
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AddChart(stockPlot);
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var avgCross = new Chart("Strategy Equity");
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var fastMa = new Series("FastMA", SeriesType.Line, 1);
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var slowMa = new Series("SlowMA", SeriesType.Line, 1);
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avgCross.AddSeries(fastMa);
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avgCross.AddSeries(slowMa);
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AddChart(avgCross);
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_resamplePeriod = TimeSpan.FromMinutes((_endDate - _startDate).TotalMinutes / 2000);
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// There's support for candlestick charts built-in:
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var dailySpyPlot = new Chart("Daily SPY");
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var spyCandlesticks = new CandlestickSeries("SPY");
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dailySpyPlot.AddSeries(spyCandlesticks);
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AddChart(dailySpyPlot);
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Consolidate<TradeBar>(spy, TimeSpan.FromDays(1), (bar) =>
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{
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Plot("Daily SPY", "SPY", bar);
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});
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}
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/// <summary>
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/// OnEndOfDay Event Handler - At the end of each trading day we fire this code.
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/// To avoid flooding, we recommend running your plotting at the end of each day.
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/// </summary>
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public override void OnEndOfDay(Symbol symbol)
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{
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//Log the end of day prices:
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Plot("Trade Plot", "Price", _lastPrice);
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}
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/// <summary>
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/// On receiving new tradebar data it will be passed into this function. The general pattern is:
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/// "public void OnData( CustomType name ) {...s"
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/// </summary>
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/// <param name="data">TradeBars data type synchronized and pushed into this function. The tradebars are grouped in a dictionary.</param>
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public void OnData(TradeBars data)
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{
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_lastPrice = data["SPY"].Close;
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if (_fastMa == 0) _fastMa = _lastPrice;
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if (_slowMa == 0) _slowMa = _lastPrice;
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_fastMa = (0.01m * _lastPrice) + (0.99m * _fastMa);
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_slowMa = (0.001m * _lastPrice) + (0.999m * _slowMa);
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if (Time > _resample)
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{
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_resample = Time.Add(_resamplePeriod);
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Plot("Strategy Equity", "FastMA", _fastMa);
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Plot("Strategy Equity", "SlowMA", _slowMa);
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}
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//On the 5th days when not invested buy:
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if (!Portfolio.Invested && Time.Day % 13 == 0)
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{
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Order("SPY", (int)(Portfolio.MarginRemaining / data["SPY"].Close));
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Plot("Trade Plot", "Buy", _lastPrice);
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}
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else if (Time.Day % 21 == 0 && Portfolio.Invested)
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{
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Plot("Trade Plot", "Sell", _lastPrice);
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Liquidate();
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}
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}
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}
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}
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