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Collective2 - No index option (#8494)
* Inicial solution * Use InitialMargin instead of MaintenanceMargin * Addressed review comments * Update unit test * Refactor GenerateOptionTicker method to handle IndexOption * Addressed PR comments * Update unit test
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Algorithm.CSharp/RegressionTests/Collective2IndexOptionAlgorithm.cs
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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 System; | ||
using System.Collections.Generic; | ||
using QuantConnect.Algorithm.Framework.Portfolio.SignalExports; | ||
using QuantConnect.Data; | ||
using QuantConnect.Indicators; | ||
using QuantConnect.Interfaces; | ||
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namespace QuantConnect.Algorithm.CSharp.RegressionTests | ||
{ | ||
public class Collective2IndexOptionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
/// <summary> | ||
/// Collective2 APIv4 KEY: This value is provided by Collective2 in your account section (See https://collective2.com/account-info) | ||
/// See API documentation at https://trade.collective2.com/c2-api | ||
/// </summary> | ||
private const string _collective2ApiKey = "YOUR APIV4 KEY"; | ||
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/// <summary> | ||
/// Collective2 System ID: This value is found beside the system's name (strategy's name) on the main system page | ||
/// </summary> | ||
private const int _collective2SystemId = 0; | ||
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private ExponentialMovingAverage _fast; | ||
private ExponentialMovingAverage _slow; | ||
private Symbol _symbol; | ||
private bool _firstCall = true; | ||
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public override void Initialize() | ||
{ | ||
SetStartDate(2021, 1, 4); | ||
SetEndDate(2021, 1, 18); | ||
SetCash(100000); | ||
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var underlying = AddIndex("SPX", Resolution.Minute).Symbol; | ||
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// Create an SPXW option contract with a specific strike price and expiration date | ||
var option = QuantConnect.Symbol.CreateOption( | ||
underlying, | ||
"SPXW", | ||
Market.USA, | ||
OptionStyle.European, | ||
OptionRight.Call, | ||
3800m, | ||
new DateTime(2021, 1, 04)); | ||
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_symbol = AddIndexOptionContract(option, Resolution.Minute).Symbol; | ||
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_fast = EMA(underlying, 10, Resolution.Minute); | ||
_slow = EMA(underlying, 50, Resolution.Minute); | ||
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// Set up the Collective2 Signal Export with the provided API key and system ID | ||
SignalExport.AddSignalExportProviders(new Collective2SignalExport(_collective2ApiKey, _collective2SystemId)); | ||
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// Set warm-up period for the indicators | ||
SetWarmUp(50); | ||
} | ||
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public override void OnData(Slice slice) | ||
{ | ||
// Execute only on the first data call to set initial portfolio | ||
if (_firstCall) | ||
{ | ||
SetHoldings(_symbol, 0.1); | ||
SignalExport.SetTargetPortfolioFromPortfolio(); | ||
_firstCall = false; | ||
} | ||
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// If the fast EMA crosses above the slow EMA, open a long position | ||
if (_fast > _slow && !Portfolio.Invested) | ||
{ | ||
MarketOrder(_symbol, 1); | ||
SignalExport.SetTargetPortfolioFromPortfolio(); | ||
} | ||
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// If the fast EMA crosses below the slow EMA, open a short position | ||
else if (_fast < _slow && Portfolio.Invested) | ||
{ | ||
MarketOrder(_symbol, -1); | ||
SignalExport.SetTargetPortfolioFromPortfolio(); | ||
} | ||
} | ||
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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 if the open source Lean repository has the required data to run this algorithm. | ||
/// </summary> | ||
public 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 long DataPoints => 4543; | ||
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/// <summary> | ||
/// Data Points count of the algorithm history | ||
/// </summary> | ||
public int AlgorithmHistoryDataPoints => 0; | ||
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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 Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string> | ||
{ | ||
{"Total Orders", "10"}, | ||
{"Average Win", "0%"}, | ||
{"Average Loss", "0.00%"}, | ||
{"Compounding Annual Return", "-0.468%"}, | ||
{"Drawdown", "0.000%"}, | ||
{"Expectancy", "-1"}, | ||
{"Start Equity", "100000"}, | ||
{"End Equity", "99985"}, | ||
{"Net Profit", "-0.015%"}, | ||
{"Sharpe Ratio", "-15.229"}, | ||
{"Sortino Ratio", "0"}, | ||
{"Probabilistic Sharpe Ratio", "0.781%"}, | ||
{"Loss Rate", "100%"}, | ||
{"Win Rate", "0%"}, | ||
{"Profit-Loss Ratio", "0"}, | ||
{"Alpha", "-0.003"}, | ||
{"Beta", "-0.001"}, | ||
{"Annual Standard Deviation", "0"}, | ||
{"Annual Variance", "0"}, | ||
{"Information Ratio", "-5.216"}, | ||
{"Tracking Error", "0.103"}, | ||
{"Treynor Ratio", "5.946"}, | ||
{"Total Fees", "$0.00"}, | ||
{"Estimated Strategy Capacity", "$8000.00"}, | ||
{"Lowest Capacity Asset", "SPXW XKX6S2GM9PGU|SPX 31"}, | ||
{"Portfolio Turnover", "0.01%"}, | ||
{"OrderListHash", "5b50a3d9e0afad859c3f7e2580a4f3be"} | ||
}; | ||
} | ||
} |
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