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Fix bug ImmediateExecutionModel when using Crypto (#8355)
* First draft of the solution * Add missing algorithm * Improve regression tests * Nit change * Address requests * Nit change * Address minor requests * Nit changes * Nit suggestion
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Algorithm.CSharp/ImmediateExecutionModelWorksWithBinanceFeeModel.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 QuantConnect.Algorithm.Framework.Alphas; | ||
using QuantConnect.Algorithm.Framework.Execution; | ||
using QuantConnect.Algorithm.Framework.Portfolio; | ||
using QuantConnect.Algorithm.Framework.Selection; | ||
using QuantConnect.Interfaces; | ||
using QuantConnect.Orders; | ||
using System; | ||
using System.Collections.Generic; | ||
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namespace QuantConnect.Algorithm.CSharp | ||
{ | ||
/// <summary> | ||
/// Regression algorithm to test ImmediateExecutionModel places orders with the | ||
/// correct quantity (taking into account the fee's) so that the fill quantity | ||
/// is the expected one. | ||
/// </summary> | ||
public class ImmediateExecutionModelWorksWithBinanceFeeModel: QCAlgorithm, IRegressionAlgorithmDefinition | ||
{ | ||
public override void Initialize() | ||
{ | ||
SetStartDate(2022, 12, 13); | ||
SetEndDate(2022, 12, 14); | ||
SetAccountCurrency("BUSD"); | ||
SetCash("BUSD", 100000, 1); | ||
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UniverseSettings.Resolution = Resolution.Minute; | ||
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var symbols = new List<Symbol>() { QuantConnect.Symbol.Create("BTCBUSD", SecurityType.Crypto, Market.Binance) }; | ||
SetUniverseSelection(new ManualUniverseSelectionModel(symbols)); | ||
SetAlpha(new ConstantAlphaModel(InsightType.Price, InsightDirection.Up, TimeSpan.FromMinutes(20), 0.025, null)); | ||
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SetPortfolioConstruction(new EqualWeightingPortfolioConstructionModel(Resolution.Minute)); | ||
SetExecution(new ImmediateExecutionModel()); | ||
SetBrokerageModel(Brokerages.BrokerageName.Binance, AccountType.Margin); | ||
} | ||
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public override void OnOrderEvent(OrderEvent orderEvent) | ||
{ | ||
if (orderEvent.Status == OrderStatus.Filled) | ||
{ | ||
if (Math.Abs(orderEvent.Quantity - 5.8m) > 0.01m) | ||
{ | ||
throw new RegressionTestException($"The expected quantity was {5.8m} but the quantity from the order was {orderEvent.Quantity}"); | ||
} | ||
} | ||
} | ||
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public bool CanRunLocally => 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 List<Language> Languages { get; } = new() { Language.CSharp, Language.Python }; | ||
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/// <summary> | ||
/// Data Points count of all timeslices of algorithm | ||
/// </summary> | ||
public long DataPoints => 2882; | ||
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/// <summary> | ||
/// Data Points count of the algorithm history | ||
/// </summary> | ||
public int AlgorithmHistoryDataPoints => 60; | ||
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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 Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string> | ||
{ | ||
{"Total Orders", "1"}, | ||
{"Average Win", "0%"}, | ||
{"Average Loss", "0%"}, | ||
{"Compounding Annual Return", "0%"}, | ||
{"Drawdown", "0%"}, | ||
{"Expectancy", "0"}, | ||
{"Start Equity", "100000.00"}, | ||
{"End Equity", "103411.39"}, | ||
{"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", "BUSD99.75"}, | ||
{"Estimated Strategy Capacity", "BUSD600000.00"}, | ||
{"Lowest Capacity Asset", "BTCBUSD 18N"}, | ||
{"Portfolio Turnover", "48.18%"}, | ||
{"OrderListHash", "2ad07f12d7c80fd4a904269d62794e9e"} | ||
}; | ||
} | ||
} |
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Algorithm.Python/ImmediateExecutionModelWorksWithBinanceFeeModel.py
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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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# region imports | ||
from AlgorithmImports import * | ||
from Execution.ImmediateExecutionModel import ImmediateExecutionModel | ||
from QuantConnect.Orders import OrderEvent | ||
# endregion | ||
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### <summary> | ||
### Regression algorithm to test ImmediateExecutionModel places orders with the | ||
### correct quantity (taking into account the fee's) so that the fill quantity | ||
### is the expected one. | ||
### </summary> | ||
class ImmediateExecutionModelWorksWithBinanceFeeModel(QCAlgorithm): | ||
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def Initialize(self): | ||
# *** initial configurations and backtest *** | ||
self.SetStartDate(2022, 12, 13) # Set Start Date | ||
self.SetEndDate(2022, 12, 14) # Set End Date | ||
self.SetAccountCurrency("BUSD") # Set Account Currency | ||
self.SetCash("BUSD", 100000, 1) # Set Strategy Cash | ||
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self.universe_settings.resolution = Resolution.MINUTE | ||
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symbols = [ Symbol.create("BTCBUSD", SecurityType.CRYPTO, Market.BINANCE) ] | ||
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# set algorithm framework models | ||
self.set_universe_selection(ManualUniverseSelectionModel(symbols)) | ||
self.set_alpha(ConstantAlphaModel(InsightType.PRICE, InsightDirection.UP, timedelta(minutes = 20), 0.025, None)) | ||
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self.set_portfolio_construction(EqualWeightingPortfolioConstructionModel(Resolution.MINUTE)) | ||
self.set_execution(ImmediateExecutionModel()) | ||
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self.SetBrokerageModel(BrokerageName.Binance, AccountType.Margin) | ||
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def on_order_event(self, order_event: OrderEvent) -> None: | ||
if order_event.status == OrderStatus.FILLED: | ||
if abs(order_event.quantity - 5.8) > 0.01: | ||
raise Exception(f"The expected quantity was 5.8 but the quantity from the order was {order_event.quantity}") |
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