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Add Nikkei 225 index support (#8529)
- Add Osaka exchange for nikkei index. Adding regression test - Improve default market resolution
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/* | ||
* 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. | ||
* | ||
*/ | ||
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using QuantConnect.Indicators; | ||
using QuantConnect.Interfaces; | ||
using QuantConnect.Securities; | ||
using System.Collections.Generic; | ||
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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Example algorithm using nikkei index | ||
/// </summary> | ||
public class NikkeiIndexRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
private Security _security; | ||
private ExponentialMovingAverage _emaSlow; | ||
private ExponentialMovingAverage _emaFast; | ||
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/// <summary> | ||
/// Initialize your algorithm and add desired assets. | ||
/// </summary> | ||
public override void Initialize() | ||
{ | ||
SetStartDate(2021, 1, 14); | ||
SetEndDate(2021, 1, 15); | ||
SetCash(1000000); | ||
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_security = AddIndex("N225"); | ||
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var symbol = _security.Symbol; | ||
_emaSlow = EMA(symbol, 80); | ||
_emaFast = EMA(symbol, 200); | ||
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Settings.DailyPreciseEndTime = true; | ||
} | ||
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public override void OnEndOfAlgorithm() | ||
{ | ||
if (!_emaSlow.IsReady || !_emaFast.IsReady) | ||
{ | ||
throw new RegressionTestException("Indicators are not ready!"); | ||
} | ||
if (!_security.HasData) | ||
{ | ||
throw new RegressionTestException("Security does not have data!"); | ||
} | ||
} | ||
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/// <summary> | ||
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm. | ||
/// </summary> | ||
public virtual bool CanRunLocally { get; } = true; | ||
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/// <summary> | ||
/// This is used by the regression test system to indicate which languages this algorithm is written in. | ||
/// </summary> | ||
public virtual List<Language> Languages { get; } = new() { Language.CSharp }; | ||
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/// <summary> | ||
/// Data Points count of all timeslices of algorithm | ||
/// </summary> | ||
public virtual long DataPoints => 443; | ||
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/// <summary> | ||
/// Data Points count of the algorithm history | ||
/// </summary> | ||
public virtual int AlgorithmHistoryDataPoints => 0; | ||
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/// <summary> | ||
/// Final status of the algorithm | ||
/// </summary> | ||
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed; | ||
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/// <summary> | ||
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm | ||
/// </summary> | ||
public virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string> | ||
{ | ||
{"Total Orders", "0"}, | ||
{"Average Win", "0%"}, | ||
{"Average Loss", "0%"}, | ||
{"Compounding Annual Return", "0%"}, | ||
{"Drawdown", "0%"}, | ||
{"Expectancy", "0"}, | ||
{"Start Equity", "1000000"}, | ||
{"End Equity", "1000000"}, | ||
{"Net Profit", "0%"}, | ||
{"Sharpe Ratio", "0"}, | ||
{"Sortino Ratio", "0"}, | ||
{"Probabilistic Sharpe Ratio", "0%"}, | ||
{"Loss Rate", "0%"}, | ||
{"Win Rate", "0%"}, | ||
{"Profit-Loss Ratio", "0"}, | ||
{"Alpha", "0"}, | ||
{"Beta", "0"}, | ||
{"Annual Standard Deviation", "0"}, | ||
{"Annual Variance", "0"}, | ||
{"Information Ratio", "0"}, | ||
{"Tracking Error", "0"}, | ||
{"Treynor Ratio", "0"}, | ||
{"Total Fees", "$0.00"}, | ||
{"Estimated Strategy Capacity", "$0"}, | ||
{"Lowest Capacity Asset", ""}, | ||
{"Portfolio Turnover", "0%"}, | ||
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"} | ||
}; | ||
} | ||
} |
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