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* Add Bybit brokerage model regression algorithm * Add BibytFutures brokerage model name and Bybit backtesting regression algorithms * Add Bybit margin calculations unit tests * Minor changes in data * Unify Bybit Spot and Futures brokerage model into one class * Add new Bybit configurations * Revert config change
142 lines
7.0 KiB
Python
142 lines
7.0 KiB
Python
# 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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from cmath import isclose
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from AlgorithmImports import *
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### <summary>
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### Algorithm demonstrating and ensuring that Bybit crypto futures brokerage model works as expected
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### </summary>
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class BybitCryptoFuturesRegressionAlgorithm(QCAlgorithm):
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def Initialize(self):
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'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
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self.SetStartDate(2022, 12, 13)
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self.SetEndDate(2022, 12, 13)
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# Set strategy cash (USD)
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self.SetCash(100000)
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self.SetBrokerageModel(BrokerageName.Bybit, AccountType.Margin)
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# Translate lines 44-59 to Python:
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self.AddCrypto("BTCUSDT", Resolution.Minute)
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self.btcUsdt = self.AddCryptoFuture("BTCUSDT", Resolution.Minute)
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self.btcUsd = self.AddCryptoFuture("BTCUSD", Resolution.Minute)
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# create two moving averages
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self.fast = self.EMA(self.btcUsdt.Symbol, 30, Resolution.Minute)
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self.slow = self.EMA(self.btcUsdt.Symbol, 60, Resolution.Minute)
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self.interestPerSymbol = {}
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self.interestPerSymbol[self.btcUsd.Symbol] = 0
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self.interestPerSymbol[self.btcUsdt.Symbol] = 0
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# the amount of USDT we need to hold to trade 'BTCUSDT'
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self.btcUsdt.QuoteCurrency.SetAmount(200)
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# the amount of BTC we need to hold to trade 'BTCUSD'
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self.btcUsd.BaseCurrency.SetAmount(0.005)
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def OnData(self, data):
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interestRates = data.Get[MarginInterestRate]()
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for interestRate in interestRates:
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self.interestPerSymbol[interestRate.Key] += 1
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cachedInterestRate = self.Securities[interestRate.Key].Cache.GetData[MarginInterestRate]()
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if cachedInterestRate != interestRate.Value:
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raise Exception(f"Unexpected cached margin interest rate for {interestRate.Key}!")
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if not self.slow.IsReady:
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return
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if self.fast > self.slow:
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if not self.Portfolio.Invested and self.Transactions.OrdersCount == 0:
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ticket = self.Buy(self.btcUsd.Symbol, 1000)
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if ticket.Status != OrderStatus.Invalid:
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raise Exception(f"Unexpected valid order {ticket}, should fail due to margin not sufficient")
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self.Buy(self.btcUsd.Symbol, 100)
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marginUsed = self.Portfolio.TotalMarginUsed
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btcUsdHoldings = self.btcUsd.Holdings
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# Coin futures value is 100 USD
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holdingsValueBtcUsd = 100
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if abs(btcUsdHoldings.TotalSaleVolume - holdingsValueBtcUsd) > 1:
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raise Exception(f"Unexpected TotalSaleVolume {btcUsdHoldings.TotalSaleVolume}")
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if abs(btcUsdHoldings.AbsoluteHoldingsCost - holdingsValueBtcUsd) > 1:
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raise Exception(f"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}")
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# margin used is based on the maintenance rate
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if (abs(btcUsdHoldings.AbsoluteHoldingsCost * 0.05 - marginUsed) > 1 or
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not isclose(self.btcUsd.BuyingPowerModel.GetMaintenanceMargin(MaintenanceMarginParameters.ForCurrentHoldings(self.btcUsd)).Value, marginUsed)):
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raise Exception(f"Unexpected margin used {marginUsed}")
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self.Buy(self.btcUsdt.Symbol, 0.01)
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marginUsed = self.Portfolio.TotalMarginUsed - marginUsed
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btcUsdtHoldings = self.btcUsdt.Holdings
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# USDT futures value is based on it's price
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holdingsValueUsdt = self.btcUsdt.Price * self.btcUsdt.SymbolProperties.ContractMultiplier * 0.01
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if abs(btcUsdtHoldings.TotalSaleVolume - holdingsValueUsdt) > 1:
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raise Exception(f"Unexpected TotalSaleVolume {btcUsdtHoldings.TotalSaleVolume}")
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if abs(btcUsdtHoldings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1:
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raise Exception(f"Unexpected holdings cost {btcUsdtHoldings.HoldingsCost}")
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if (abs(btcUsdtHoldings.AbsoluteHoldingsCost * 0.05 - marginUsed) > 1 or
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not isclose(self.btcUsdt.BuyingPowerModel.GetMaintenanceMargin(MaintenanceMarginParameters.ForCurrentHoldings(self.btcUsdt)).Value, marginUsed)):
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raise Exception(f"Unexpected margin used {marginUsed}")
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# position just opened should be just spread here
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unrealizedProfit = self.Portfolio.TotalUnrealizedProfit
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if (5 - abs(unrealizedProfit)) < 0:
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raise Exception(f"Unexpected TotalUnrealizedProfit {self.Portfolio.TotalUnrealizedProfit}")
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if self.Portfolio.TotalProfit != 0:
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raise Exception(f"Unexpected TotalProfit {self.Portfolio.TotalProfit}")
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# let's revert our position
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elif self.Transactions.OrdersCount == 3:
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self.Sell(self.btcUsd.Symbol, 300)
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btcUsdHoldings = self.btcUsd.Holdings
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if abs(btcUsdHoldings.AbsoluteHoldingsCost - 100 * 2) > 1:
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raise Exception(f"Unexpected holdings cost {btcUsdHoldings.HoldingsCost}")
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self.Sell(self.btcUsdt.Symbol, 0.03)
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# USDT futures value is based on it's price
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holdingsValueUsdt = self.btcUsdt.Price * self.btcUsdt.SymbolProperties.ContractMultiplier * 0.02
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if abs(self.btcUsdt.Holdings.AbsoluteHoldingsCost - holdingsValueUsdt) > 1:
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raise Exception(f"Unexpected holdings cost {self.btcUsdt.Holdings.HoldingsCost}")
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# position just opened should be just spread here
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profit = self.Portfolio.TotalUnrealizedProfit
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if (5 - abs(profit)) < 0:
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raise Exception(f"Unexpected TotalUnrealizedProfit {self.Portfolio.TotalUnrealizedProfit}")
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# we barely did any difference on the previous trade
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if (5 - abs(self.Portfolio.TotalProfit)) < 0:
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raise Exception(f"Unexpected TotalProfit {self.Portfolio.TotalProfit}")
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def OnOrderEvent(self, orderEvent):
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self.Debug("{} {}".format(self.Time, orderEvent.ToString()))
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def OnEndOfAlgorithm(self):
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self.Log(f"{self.Time} - TotalPortfolioValue: {self.Portfolio.TotalPortfolioValue}")
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self.Log(f"{self.Time} - CashBook: {self.Portfolio.CashBook}")
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if any(x == 0 for x in self.interestPerSymbol.values()):
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raise Exception("Expected interest rate data for all symbols")
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