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BybitCryptoFuturesRegressionAlgorithm.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.
*/
using System;
using System.Collections.Generic;
using QuantConnect.Data;
using QuantConnect.Brokerages;
using QuantConnect.Indicators;
using QuantConnect.Orders;
using QuantConnect.Interfaces;
using QuantConnect.Securities.CryptoFuture;
using QuantConnect.Data.Market;
using QuantConnect.Securities;
using System.Linq;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Algorithm demonstrating and ensuring that Bybit crypto futures brokerage model works as expected
/// </summary>
public class BybitCryptoFuturesRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private CryptoFuture _btcUsdt;
private CryptoFuture _btcUsd;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private Dictionary<Symbol, int> _interestPerSymbol = new();
public override void Initialize()
{
SetStartDate(2022, 12, 13);
SetEndDate(2022, 12, 13);
// Set strategy cash (USD)
SetCash(100000);
SetBrokerageModel(BrokerageName.Bybit, AccountType.Margin);
AddCrypto("BTCUSDT", Resolution.Minute);
_btcUsdt = AddCryptoFuture("BTCUSDT", Resolution.Minute);
_btcUsd = AddCryptoFuture("BTCUSD", Resolution.Minute);
// create two moving averages
_fast = EMA(_btcUsdt.Symbol, 30, Resolution.Minute);
_slow = EMA(_btcUsdt.Symbol, 60, Resolution.Minute);
_interestPerSymbol[_btcUsdt.Symbol] = 0;
_interestPerSymbol[_btcUsd.Symbol] = 0;
// the amount of USDT we need to hold to trade 'BTCUSDT'
_btcUsdt.QuoteCurrency.SetAmount(200);
// the amount of BTC we need to hold to trade 'BTCUSD'
_btcUsd.BaseCurrency.SetAmount(0.005m);
}
public override void OnData(Slice slice)
{
var interestRates = slice.Get<MarginInterestRate>();
foreach (var interestRate in interestRates)
{
_interestPerSymbol[interestRate.Key]++;
var cachedInterestRate = Securities[interestRate.Key].Cache.GetData<MarginInterestRate>();
if (cachedInterestRate != interestRate.Value)
{
throw new RegressionTestException($"Unexpected cached margin interest rate for {interestRate.Key}!");
}
}
if (!_slow.IsReady)
{
return;
}
if (_fast > _slow)
{
if (!Portfolio.Invested && Transactions.OrdersCount == 0)
{
var ticket = Buy(_btcUsd.Symbol, 1000);
if (ticket.Status != OrderStatus.Invalid)
{
throw new RegressionTestException($"Unexpected valid order {ticket}, should fail due to margin not sufficient");
}
Buy(_btcUsd.Symbol, 100);
var marginUsed = Portfolio.TotalMarginUsed;
var btcUsdHoldings = _btcUsd.Holdings;
// Coin futures value is 100 USD
var holdingsValueBtcUsd = 100;
if (Math.Abs(btcUsdHoldings.TotalSaleVolume - holdingsValueBtcUsd) > 1)
{
throw new RegressionTestException($"Unexpected TotalSaleVolume {btcUsdHoldings.TotalSaleVolume}");
}
if (Math.Abs(btcUsdHoldings.AbsoluteHoldingsCost - holdingsValueBtcUsd) > 1)
{
throw new RegressionTestException($"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}");
}
if (_btcUsd.BuyingPowerModel.GetMaintenanceMargin(_btcUsd) != marginUsed)
{
throw new RegressionTestException($"Unexpected margin used {marginUsed}");
}
Buy(_btcUsdt.Symbol, 0.01);
marginUsed = Portfolio.TotalMarginUsed - marginUsed;
var btcUsdtHoldings = _btcUsdt.Holdings;
// USDT futures value is based on it's price
var holdingsValueUsdt = _btcUsdt.Price * _btcUsdt.SymbolProperties.ContractMultiplier * 0.01m;
if (Math.Abs(btcUsdtHoldings.TotalSaleVolume - holdingsValueUsdt) > 1)
{
throw new RegressionTestException($"Unexpected TotalSaleVolume {btcUsdtHoldings.TotalSaleVolume}");
}
if (Math.Abs(btcUsdtHoldings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1)
{
throw new RegressionTestException($"Unexpected holdings cost {btcUsdtHoldings.HoldingsCost}");
}
if (_btcUsdt.BuyingPowerModel.GetMaintenanceMargin(_btcUsdt) != marginUsed)
{
throw new RegressionTestException($"Unexpected margin used {marginUsed}");
}
// position just opened should be just spread here
var unrealizedProfit = Portfolio.TotalUnrealizedProfit;
if ((5 - Math.Abs(unrealizedProfit)) < 0)
{
throw new RegressionTestException($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
}
if (Portfolio.TotalProfit != 0)
{
throw new RegressionTestException($"Unexpected TotalProfit {Portfolio.TotalProfit}");
}
}
}
// let's revert our position
else if (Transactions.OrdersCount == 3)
{
Sell(_btcUsd.Symbol, 300);
var btcUsdHoldings = _btcUsd.Holdings;
if (Math.Abs(btcUsdHoldings.AbsoluteHoldingsCost - 100 * 2) > 1)
{
throw new RegressionTestException($"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}");
}
Sell(_btcUsdt.Symbol, 0.03);
var btcUsdtHoldings = _btcUsdt.Holdings;
// USDT futures value is based on it's price
var holdingsValueUsdt = _btcUsdt.Price * _btcUsdt.SymbolProperties.ContractMultiplier * 0.02m;
if (Math.Abs(btcUsdtHoldings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1)
{
throw new RegressionTestException($"Unexpected holdings cost {btcUsdtHoldings.HoldingsCost}");
}
// position just opened should be just spread here
var profit = Portfolio.TotalUnrealizedProfit;
if ((5 - Math.Abs(profit)) < 0)
{
throw new RegressionTestException($"Unexpected TotalUnrealizedProfit {Portfolio.TotalUnrealizedProfit}");
}
// we barely did any difference on the previous trade
if ((5 - Math.Abs(Portfolio.TotalProfit)) < 0)
{
throw new RegressionTestException($"Unexpected TotalProfit {Portfolio.TotalProfit}");
}
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
Debug(Time + " " + orderEvent);
}
public override void OnEndOfAlgorithm()
{
Log($"{Time} - TotalPortfolioValue: {Portfolio.TotalPortfolioValue}");
Log($"{Time} - CashBook: {Portfolio.CashBook}");
if (_interestPerSymbol.Any(kvp => kvp.Value == 0))
{
throw new RegressionTestException("Expected interest rate data for all symbols");
}
}
/// <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;
/// <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 };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 8625;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 10;
/// <summary>
/// Final status of the algorithm
/// </summary>
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
/// <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", "5"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "100285.85"},
{"End Equity", "100285.26"},
{"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", "$0.60"},
{"Estimated Strategy Capacity", "$100000000.00"},
{"Lowest Capacity Asset", "BTCUSDT 2V3"},
{"Portfolio Turnover", "1.08%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "0157a5c7c2c8a8c13e984b72721aa0ca"}
};
}
}