chore: import upstream snapshot with attribution
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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.Brokerages;
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using QuantConnect.Indicators;
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using QuantConnect.Interfaces;
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using System.IO;
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using QuantConnect.Orders;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Algorithm demonstrating and ensuring that Bybit crypto brokerage model works as expected with custom data types
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/// </summary>
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public class BybitCustomDataCryptoRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private Symbol _btcUsdt;
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private ExponentialMovingAverage _fast;
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private ExponentialMovingAverage _slow;
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public override void Initialize()
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{
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SetStartDate(2022, 12, 13);
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SetEndDate(2022, 12, 13);
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SetAccountCurrency("USDT");
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SetCash(100000);
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SetBrokerageModel(BrokerageName.Bybit, AccountType.Cash);
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var symbol = AddCrypto("BTCUSDT").Symbol;
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_btcUsdt = AddData<CustomCryptoData>(symbol, Resolution.Minute).Symbol;
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// create two moving averages
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_fast = EMA(_btcUsdt, 30, Resolution.Minute);
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_slow = EMA(_btcUsdt, 60, Resolution.Minute);
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}
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public override void OnData(Slice slice)
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{
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if (!_slow.IsReady)
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{
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return;
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}
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if (_fast > _slow)
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{
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if (Transactions.OrdersCount == 0)
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{
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Buy(_btcUsdt, 1);
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}
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}
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else
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{
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if (Transactions.OrdersCount == 1)
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{
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Liquidate(_btcUsdt);
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}
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}
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}
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public override void OnOrderEvent(OrderEvent orderEvent)
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{
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Debug(Time + " " + orderEvent);
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}
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public class CustomCryptoData : BaseData
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{
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public decimal Open { get; set; }
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public decimal High { get; set; }
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public decimal Low { get; set; }
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public decimal Close { get; set; }
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public decimal Volume { get; set; }
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public override DateTime EndTime
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{
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get { return Time + Period; }
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set { Time = value - Period; }
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}
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public TimeSpan Period
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{
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get { return QuantConnect.Time.OneMinute; }
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}
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public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
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{
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var tickTypeString = config.TickType.TickTypeToLower();
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var formattedDate = date.ToStringInvariant(DateFormat.EightCharacter);
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var source = Path.Combine(Globals.DataFolder, "crypto", "bybit", config.Resolution.ToString().ToLower(),
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config.Symbol.Value.ToLower(), $"{formattedDate}_{tickTypeString}.zip");
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return new SubscriptionDataSource(source, SubscriptionTransportMedium.LocalFile, FileFormat.Csv);
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}
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public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
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{
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var csv = line.ToCsv(6);
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var data = new CustomCryptoData
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{
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Symbol = config.Symbol,
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Time = date.Date.AddMilliseconds(csv[0].ToInt32()).ConvertTo(config.DataTimeZone, config.ExchangeTimeZone),
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Open = csv[1].ToDecimal(),
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High = csv[2].ToDecimal(),
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Low = csv[3].ToDecimal(),
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Close = csv[4].ToDecimal(),
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Volume = csv[5].ToDecimal(),
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Value = csv[4].ToDecimal()
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};
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return data;
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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; } = true;
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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 List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
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/// <summary>
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/// Data Points count of all timeslices of algorithm
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/// </summary>
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public long DataPoints => 4324;
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/// <summary>
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/// Data Points count of the algorithm history
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/// </summary>
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public int AlgorithmHistoryDataPoints => 10;
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
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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 Orders", "2"},
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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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{"Start Equity", "100000.00"},
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{"End Equity", "99981.72"},
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{"Net Profit", "0%"},
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{"Sharpe Ratio", "0"},
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{"Sortino Ratio", "0"},
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{"Probabilistic 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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{"Estimated Strategy Capacity", "₮0"},
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{"Lowest Capacity Asset", "BTCUSDT.CustomCryptoData 2US"},
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{"Portfolio Turnover", "34.30%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "52ddb7dfcaaf1ea4f70cc614c49f0cd0"}
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};
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}
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}
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