Add Mapfile support for custom data sources
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committed by
Martin Molinero
parent
2637695f9d
commit
e6a510d803
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/*
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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 System.Collections.Generic;
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using QuantConnect.Data;
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using QuantConnect.Data.Custom.SEC;
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using QuantConnect.Data.Market;
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using QuantConnect.Interfaces;
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using QuantConnect.Orders.Fees;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm demonstrating use of map files with custom data
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/// </summary>
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/// <meta name="tag" content="using data" />
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/// <meta name="tag" content="custom data" />
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/// <meta name="tag" content="regression test" />
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/// <meta name="tag" content="SEC" />
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/// <meta name="tag" content="rename event" />
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/// <meta name="tag" content="map" />
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/// <meta name="tag" content="mapping" />
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/// <meta name="tag" content="map files" />
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public class CustomDataUsingMapFileRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private Symbol _symbol;
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private bool _changedSymbol;
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private bool _properSymbolBeforeRename;
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private bool _properSymbolAfterRename;
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/// <summary>
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/// Ticker we use for testing
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/// </summary>
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public const string Ticker = "TWX";
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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(2001, 1, 1);
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SetEndDate(2003, 12, 31);
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SetCash(100000);
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// AOL renames to TWX in 2003
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_symbol = AddData<SECReport8K>(Ticker, Resolution.Daily).Symbol;
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AddEquity(Ticker, Resolution.Daily);
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}
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/// <summary>
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/// Checks to see if the stock has been renamed, and places an order once the symbol has changed
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/// </summary>
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/// <param name="slice"></param>
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public override void OnData(Slice slice)
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{
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if (slice.SymbolChangedEvents.ContainsKey(_symbol))
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{
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// Check to see if it was renamed on the 16th
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_changedSymbol = Time.Date == new DateTime(2003, 10, 16);
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Log($"{Time} - Ticker changed from: {slice.SymbolChangedEvents[_symbol].OldSymbol} to {slice.SymbolChangedEvents[_symbol].NewSymbol}");
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}
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foreach (var report in slice.Get<SECReport8K>())
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{
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if (!_properSymbolBeforeRename)
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{
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_properSymbolBeforeRename = report.Key.Value == "AOL" && Time < new DateTime(2003, 10, 16);
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}
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if (!_properSymbolAfterRename)
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{
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_properSymbolAfterRename = report.Key.Value == "TWX" && Time >= new DateTime(2003, 10, 16);
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}
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Log($"{Time} - Received 8-K report for {report.Key.Value}");
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}
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}
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/// <summary>
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/// Final step of the algorithm
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/// </summary>
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public override void OnEndOfAlgorithm()
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{
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if (!_changedSymbol)
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{
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throw new Exception("The ticker did not rename throughout the course of its life even though it should have");
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}
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if (!_properSymbolBeforeRename)
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{
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throw new Exception("The SEC report data never renamed to its old ticker");
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}
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if (!_properSymbolAfterRename)
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{
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throw new Exception("The SEC report data never renamed back to its present-day ticker");
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}
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}
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/// <summary>
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/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
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/// </summary>
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public bool CanRunLocally { get; } = false;
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public Language[] Languages { get; } = { Language.CSharp, Language.Python };
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Trades", "0"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "0%"},
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{"Drawdown", "0%"},
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{"Expectancy", "0"},
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{"Net Profit", "0%"},
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{"Sharpe Ratio", "0"},
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{"Loss Rate", "0%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "0"},
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{"Beta", "0"},
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{"Annual Standard Deviation", "0"},
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{"Annual Variance", "0"},
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{"Information Ratio", "0"},
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{"Tracking Error", "0"},
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{"Treynor Ratio", "0"},
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{"Total Fees", "$0.00"},
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};
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}
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}
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