/*
* 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.IO;
using System.Globalization;
using QuantConnect.Data;
using QuantConnect.Util;
using QuantConnect.Indicators;
namespace QuantConnect.Algorithm.CSharp
{
///
/// The algorithm creates new indicator value with the existing indicator method by Indicator Extensions
/// Demonstration of using local custom datasource CustomData to request the IBM and SPY daily data
///
///
///
///
///
///
///
///
public class CustomDataIndicatorExtensionsAlgorithm : QCAlgorithm
{
private const string _ibm = "IBM";
private const string _spy = "SPY";
private SimpleMovingAverage _smaIBM;
private SimpleMovingAverage _smaSPY;
private IndicatorBase _ratio;
///
/// Initialize the data and resolution you require for your strategy
///
public override void Initialize()
{
SetStartDate(2014, 1, 1);
SetEndDate(2018, 1, 1);
SetCash(25000);
// Define the symbol and "type" of our generic data
AddData(_ibm, Resolution.Daily);
AddData(_spy, Resolution.Daily);
// Set up default Indicators, these are just 'identities' of the closing price
_smaIBM = SMA(_ibm, 1);
_smaSPY = SMA(_spy, 1);
// This will create a new indicator whose value is smaSPY / smaIBM
_ratio = _smaSPY.Over(_smaIBM);
}
///
/// Custom data event handler:
///
/// CustomData - dictionary Bars of custom data
public void OnData(CustomData data)
{
// Wait for all indicators to fully initialize
if (_smaIBM.IsReady && _smaSPY.IsReady && _ratio.IsReady)
{
if (!Portfolio.Invested && _ratio > 1)
{
MarketOrder(_ibm, 100);
}
else if (_ratio < 1)
{
Liquidate();
}
// plot all indicators
PlotIndicator("SMA", _smaIBM, _smaSPY);
PlotIndicator("Ratio", _ratio);
}
}
}
///
/// Custom data from local LEAN data
///
public class CustomData : BaseData
{
public decimal Open { get; set; }
public decimal High { get; set; }
public decimal Low { get; set; }
public decimal Close { get; set; }
public override DateTime EndTime
{
get { return Time + Period; }
set { Time = value - Period; }
}
public TimeSpan Period
{
get { return QuantConnect.Time.OneDay; }
}
public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
{
var source = Path.Combine(Globals.DataFolder, "equity", "usa", config.Resolution.ToString().ToLower(), LeanData.GenerateZipFileName(config.Symbol, date, config.Resolution, config.TickType));
return new SubscriptionDataSource(source);
}
public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
{
var csv = line.ToCsv(6);
var _scaleFactor = 1 / 10000m;
var custom = new CustomData
{
Symbol = config.Symbol,
Time = DateTime.ParseExact(csv[0], DateFormat.TwelveCharacter, CultureInfo.InvariantCulture),
Open = csv[1].ToDecimal() * _scaleFactor,
High = csv[2].ToDecimal() * _scaleFactor,
Low = csv[3].ToDecimal() * _scaleFactor,
Close = csv[4].ToDecimal() * _scaleFactor,
Value = csv[4].ToDecimal() * _scaleFactor
};
return custom;
}
}
}