Files
quantconnect--lean/Algorithm.CSharp/HistoryAlgorithm.cs
T
snugs 4ae1f4f5b6 Finalizes History API
Fixes bug in backtest history provider

	Requests for bar counts were always incorrect because the history provider
	was emitting bars whose end time is equal to the start time.
	Implemented a FilterEnumerator<T> privately so he can filter those out
	when using non-tick data
2015-09-15 15:40:54 -04:00

184 lines
9.0 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.Linq;
using QuantConnect.Data;
using QuantConnect.Data.Custom;
using QuantConnect.Data.Market;
using QuantConnect.Indicators;
using QuantConnect.Securities.Equity;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This algorithm demonstrates the various ways you can call the History function,
/// what it returns, and what you can do with the returned values.
/// </summary>
public class HistoryAlgorithm : QCAlgorithm
{
public SimpleMovingAverage spyDailySma;
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
public override void Initialize()
{
SetStartDate(2013, 10, 07); //Set Start Date
SetEndDate(2013, 10, 11); //Set End Date
SetCash(100000); //Set Strategy Cash
// Find more symbols here: http://quantconnect.com/data
AddSecurity(SecurityType.Equity, "SPY", Resolution.Daily);
AddData<Quandl>("YAHOO/INDEX_SPY", Resolution.Daily);
// specifying the exchange will allow the history methods that accept a number of bars to return to work properly
Securities["YAHOO/INDEX_SPY"].Exchange = new EquityExchange();
// we can get history in initialize to set up indicators and such
spyDailySma = new SimpleMovingAverage(14);
// get the last calendar year's worth of SPY data at the configured resolution (daily)
var tradeBarHistory = History("SPY", TimeSpan.FromDays(365));
// get the last calendar day's worth of SPY data at the specified resolution
tradeBarHistory = History("SPY", TimeSpan.FromDays(1), Resolution.Minute);
// get the last 14 bars of SPY at the configured resolution (daily)
tradeBarHistory = History("SPY", 14).ToList();
// get the last 14 minute bars of SPY
tradeBarHistory = History("SPY", 14, Resolution.Minute);
// we can loop over the return value from these functions and we get TradeBars
// we can use these TradeBars to initialize indicators or perform other math
foreach (TradeBar tradeBar in tradeBarHistory)
{
spyDailySma.Update(tradeBar.EndTime, tradeBar.Close);
}
// get the last calendar year's worth of quandl data at the configured resolution (daily)
var quandlHistory = History<Quandl>("YAHOO/INDEX_SPY", TimeSpan.FromDays(365));
// get the last 14 bars of SPY at the configured resolution (daily)
quandlHistory = History<Quandl>("YAHOO/INDEX_SPY", 14);
// get the last 14 minute bars of SPY
// we can loop over the return values from these functions and we'll get Quandl data
// this can be used in much the same way as the tradeBarHistory above
foreach (Quandl quandl in quandlHistory)
{
spyDailySma.Update(quandl.EndTime, quandl.Value);
}
// get the last year's worth of all configured Quandl data at the configured resolution (daily)
var allQuandlData = History<Quandl>(TimeSpan.FromDays(365));
// get the last 14 bars worth of Quandl data for the specified symbols at the configured resolution (daily)
allQuandlData = History<Quandl>(Securities.Keys, 14);
// NOTE: using different resolutions require that they are properly implemented in your data type, since
// Quandl doesn't support minute data, this won't actually work, but if your custom data source has
// different resolutions, it would need to be implemented in the GetSource and Reader methods properly
//quandlHistory = History<Quandl>("YAHOO/INDEX_SPY", TimeSpan.FromDays(7), Resolution.Minute);
//quandlHistory = History<Quandl>("YAHOO/INDEX_SPY", 14, Resolution.Minute);
//allQuandlData = History<Quandl>(TimeSpan.FromDays(365), Resolution.Minute);
//allQuandlData = History<Quandl>(Securities.Keys, 14, Resolution.Minute);
//allQuandlData = History<Quandl>(Securities.Keys, TimeSpan.FromDays(1), Resolution.Minute);
//allQuandlData = History<Quandl>(Securities.Keys, 14, Resolution.Minute);
// get the last calendar year's worth of all quandl data
allQuandlData = History<Quandl>(Securities.Keys, TimeSpan.FromDays(365));
// the return is a series of dictionaries containing all quandl data at each time
// we can loop over it to get the individual dictionaries
foreach (DataDictionary<Quandl> quandlsDataDictionary in allQuandlData)
{
// we can access the dictionary to get the quandl data we want
var quandl = quandlsDataDictionary["YAHOO/INDEX_SPY"];
}
// we can also access the return value from the multiple symbol functions to request a single
// symbol and then loop over it
var singleSymbolQuandl = allQuandlData.Get("YAHOO/INDEX_SPY");
foreach (Quandl quandl in singleSymbolQuandl)
{
// do something with 'YAHOO/INDEX_SPY' quandl data
}
// we can also access individual properties on our data, this will
// get the 'YAHOO/INDEX_SPY' quandls like above, but then only return the Low properties
var quandlSpyLows = allQuandlData.Get("YAHOO/INDEX_SPY", "Low");
foreach (decimal low in quandlSpyLows)
{
// do something we each low value
}
// sometimes it's necessary to get the history for many configured symbols
// request the last year's worth of history for all configured symbols at their configured resolutions
var allHistory = History(TimeSpan.FromDays(365));
// request the last days's worth of history at the minute resolution
allHistory = History(TimeSpan.FromDays(1), Resolution.Minute);
// request the last 100 bars for the specified securities at the configured resolution
allHistory = History(Securities.Keys, 100);
// request the last 100 minute bars for the specified securities
allHistory = History(Securities.Keys, 100, Resolution.Minute);
// request the last calendar years worth of history for the specified securities
allHistory = History(Securities.Keys, TimeSpan.FromDays(365));
// we can also specify the resolutin
allHistory = History(Securities.Keys, TimeSpan.FromDays(1), Resolution.Minute);
// if we loop over this allHistory, we get Slice objects
foreach (Slice slice in allHistory)
{
// do something with each slice, these will come in time order
// and will NOT have auxilliary data, just price data and your custom data
// if those symbols were specified
}
// we can access the history for individual symbols from the all history by specifying the symbol
// the type must be a trade bar!
tradeBarHistory = allHistory.Get("SPY");
// we can access all the closing prices in chronological order using this get function
var closeHistory = allHistory.Get("SPY", Field.Close);
foreach (decimal close in closeHistory)
{
// do something with each closing value in order
}
// we can convert the close history into your normal double array (double[]) using the ToDoubleArray method
double[] doubleArray = closeHistory.ToDoubleArray();
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">Slice object keyed by symbol containing the stock data</param>
public override void OnData(Slice data)
{
if (!Portfolio.Invested)
{
SetHoldings("SPY", 1);
Debug("Purchased Stock");
}
}
}
}