Files
quantconnect--lean/Algorithm/Examples/MultipleSymbolConsolidationAlgorithm.cs
T
snugs 272af78a26 Random clean-up + multiple symbol consolidators example
Cleaned up ResolveConsolidator try/catch
Cleaned up some names/comments
Modified error message
Updated to allow more derived types pass check
Example algo for consolidators on multiple symbols
2015-03-24 21:02:08 -04:00

235 lines
9.6 KiB
C#

/*
* 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 System.Collections.Generic;
using System.Linq;
using QuantConnect.Data.Consolidators;
using QuantConnect.Data.Market;
using QuantConnect.Indicators;
namespace QuantConnect.Algorithm.Examples
{
/// <summary>
/// This algorithm provides a structure for defining consolidators and indicators for many different symbols.
/// </summary>
public class MultipleSymbolConsolidationAlgorithm : QCAlgorithm
{
/// <summary>
/// This is the period of bars we'll be creating
/// </summary>
public readonly TimeSpan BarPeriod = TimeSpan.FromMinutes(10);
/// <summary>
/// This is the period of our sma indicators
/// </summary>
public readonly int SimpleMovingAveragePeriod = 10;
/// <summary>
/// This is the number of consolidated bars we'll hold in symbol data for reference
/// </summary>
public readonly int RollingWindowSize = 10;
/// <summary>
/// Holds all of our data keyed by each symbol
/// </summary>
public readonly Dictionary<string, SymbolData> Data = new Dictionary<string, SymbolData>();
/// <summary>
/// Contains all of our equity symbols
/// </summary>
public readonly IReadOnlyList<string> EquitySymbols = new List<string>
{
"AAPL",
"SPY",
"IBM"
};
/// <summary>
/// Contains all of our forex symbols
/// </summary>
public readonly IReadOnlyList<string> ForexSymbols = new List<string>
{
"EURUSD",
"USDJPY",
"EURGBP",
"EURCHF",
"USDCAD",
"USDCHF",
"AUDUSD",
"NZDUSD",
};
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
/// <seealso cref="QCAlgorithm.SetStartDate(System.DateTime)"/>
/// <seealso cref="QCAlgorithm.SetEndDate(System.DateTime)"/>
/// <seealso cref="QCAlgorithm.SetCash(decimal)"/>
public override void Initialize()
{
SetStartDate(2014, 12, 01);
SetEndDate(2015, 02, 01);
// initialize our equity data
foreach (var symbol in EquitySymbols)
{
Data.Add(symbol, new SymbolData(symbol, SecurityType.Equity, BarPeriod, RollingWindowSize));
}
// initialize our forex data
foreach (var symbol in ForexSymbols)
{
Data.Add(symbol, new SymbolData(symbol, SecurityType.Forex, BarPeriod, RollingWindowSize));
}
// loop through all our symbols and request data subscriptions and initialize indicatora
foreach (var kvp in Data)
{
// this is required since we're using closures below, for more information
// see: http://stackoverflow.com/questions/14907987/access-to-foreach-variable-in-closure-warning
var symbolData = kvp.Value;
// request data subscription
AddSecurity(symbolData.SecurityType, symbolData.Symbol, Resolution.Minute);
// define a consolidator to consolidate data for this symbol on the requested period
var consolidator = new TradeBarConsolidator(BarPeriod);
// define our indicator
symbolData.SMA = new SimpleMovingAverage(CreateIndicatorName(symbolData.Symbol, "SMA" + SimpleMovingAveragePeriod, Resolution.Minute), SimpleMovingAveragePeriod);
// wire up our consolidator to update the indicator
consolidator.DataConsolidated += (sender, bar) =>
{
// 'bar' here is our newly consolidated data
symbolData.SMA.Update(bar.Time, bar.Close);
// we're also going to add this bar to our rolling window so we have access to it later
symbolData.Bars.Add(bar);
};
// we need to add this consolidator so it gets auto updates
SubscriptionManager.AddConsolidator(symbolData.Symbol, consolidator);
}
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">TradeBars IDictionary object with your stock data</param>
public void OnData(TradeBars data)
{
// loop through each symbol in our structure
foreach (var symbolData in Data.Values)
{
// this check proves that this symbol was JUST updated prior to this OnData function being called
if (symbolData.IsReady && symbolData.WasJustUpdated(data.Time))
{
if (!Portfolio[symbolData.Symbol].Invested)
{
MarketOrder(symbolData.Symbol, 1);
}
}
}
}
/// <summary>
/// End of a trading day event handler. This method is called at the end of the algorithm day (or multiple times if trading multiple assets).
/// </summary>
/// <remarks>Method is called 10 minutes before closing to allow user to close out position.</remarks>
public override void OnEndOfDay()
{
int i = 0;
foreach (var kvp in Data.OrderBy(x => x.Value.Symbol))
{
// we have too many symbols to plot them all, so plot ever other
if (kvp.Value.IsReady && ++i%2 == 0)
{
Plot(kvp.Value.Symbol, kvp.Value.SMA);
}
}
}
/// <summary>
/// Contains data pertaining to a symbol in our algorithm
/// </summary>
public class SymbolData
{
/// <summary>
/// This symbol the other data in this class is associated with
/// </summary>
public readonly string Symbol;
/// <summary>
/// The security type of the symbol
/// </summary>
public readonly SecurityType SecurityType;
/// <summary>
/// A rolling window of data, data needs to be pumped into Bars by using Bars.Update( tradeBar ) and
/// can be accessed like:
/// mySymbolData.Bars[0] - most first recent piece of data
/// mySymbolData.Bars[5] - the sixth most recent piece of data (zero based indexing)
/// </summary>
public readonly RollingWindow<TradeBar> Bars;
/// <summary>
/// The period used when population the Bars rolling window.
/// </summary>
public readonly TimeSpan BarPeriod;
/// <summary>
/// The simple moving average indicator for our symbol
/// </summary>
public SimpleMovingAverage SMA;
/// <summary>
/// Initializes a new instance of SymbolData
/// </summary>
public SymbolData(string symbol, SecurityType securityType, TimeSpan barPeriod, int windowSize)
{
Symbol = symbol;
SecurityType = securityType;
BarPeriod = barPeriod;
Bars = new RollingWindow<TradeBar>(windowSize);
}
/// <summary>
/// Returns true if all the data in this instance is ready (indicators, rolling windows, ect...)
/// </summary>
public bool IsReady
{
get { return Bars.IsReady && SMA.IsReady; }
}
/// <summary>
/// Returns true if the most recent trade bar time matches the current time minus the bar's period, this
/// indicates that update was just called on this instance
/// </summary>
/// <param name="current">The current algorithm time</param>
/// <returns>True if this instance was just updated with new data, false otherwise</returns>
public bool WasJustUpdated(DateTime current)
{
return Bars.Count > 0 && Bars[0].Time == current - BarPeriod;
}
/// <summary>
/// Updates indicators and other class state
/// </summary>
/// <param name="data">The data used to updated</param>
public void Update(TradeBar data)
{
// verify the input data matches our symbol - sanity check
if (!string.Equals(data.Symbol, Symbol, StringComparison.CurrentCultureIgnoreCase))
{
throw new ArgumentException("Expected trade bar data for " + Symbol + " but received " + data.Symbol.ToUpper());
}
Bars.Add(data);
SMA.Update(data.Time, data.Close);
}
}
}
}