Files
quantconnect--lean/Algorithm.CSharp/BinanceCryptoFutureBnfcrCollateralRegressionAlgorithm.cs
T
2026-07-13 13:02:50 +08:00

172 lines
6.8 KiB
C#

/*
* 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.Collections.Generic;
using QuantConnect.Brokerages;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
using QuantConnect.Securities.CryptoFuture;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm asserting that BNFCR serves as collateral for Binance USDⓈ-M futures
/// (EU/MiCA Credits Trading Mode) and that futures with different quote currencies (ADAUSDT, ETHUSDC)
/// correctly share the BNFCR collateral pool.
/// </summary>
public class BinanceCryptoFutureBnfcrCollateralRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private CryptoFuture _adaUsdt;
private CryptoFuture _ethUsdc;
private bool _orderPlaced;
public override void Initialize()
{
SetStartDate(2022, 12, 13);
SetEndDate(2022, 12, 13);
SetTimeZone(TimeZones.Utc);
SetBrokerageModel(BrokerageName.BinanceFutures, AccountType.Margin);
_adaUsdt = AddCryptoFuture("ADAUSDT");
_ethUsdc = AddCryptoFuture("ETHUSDC");
SetCash(0);
SetCash("BNFCR", 200m, 1m);
SetCash("ETH", 0, 1600);
SetCash("USDC", 0, 1);
}
public override void OnData(Slice slice)
{
if (_adaUsdt.Price == 0 || _orderPlaced)
{
return;
}
// 1. BNFCR collateral must produce positive buying power (USDT is zero)
var buyingPower = _adaUsdt.BuyingPowerModel.GetBuyingPower(new BuyingPowerParameters(Portfolio, _adaUsdt, OrderDirection.Buy));
if (buyingPower.Value <= 0)
{
throw new RegressionTestException($"Expected positive buying power from BNFCR, got {buyingPower.Value}");
}
// 2. Order must not be rejected
var ticket = Buy(_adaUsdt.Symbol, 1000);
_orderPlaced = true;
if (ticket.Status == OrderStatus.Invalid)
{
throw new RegressionTestException("Order rejected — BNFCR collateral should cover margin");
}
// 3. Margin must be tracked
if (Portfolio.TotalMarginUsed <= 0)
{
throw new RegressionTestException($"Expected positive TotalMarginUsed, got {Portfolio.TotalMarginUsed}");
}
// 4. Shared collateral: ETHUSDC (different quote currency) must deduct ADAUSDT margin
_ethUsdc.SetMarketPrice(new TradeBar { Time = Time, Symbol = _ethUsdc.Symbol, Close = 1600 });
var ethBuyingPower = _ethUsdc.BuyingPowerModel.GetBuyingPower(new BuyingPowerParameters(Portfolio, _ethUsdc, OrderDirection.Buy));
var adaBuyingPower = _adaUsdt.BuyingPowerModel.GetBuyingPower(new BuyingPowerParameters(Portfolio, _adaUsdt, OrderDirection.Buy));
// ETHUSDC must see less buying power than ADAUSDT - ADAUSDT maintenance margin
// is deducted from ETHUSDC's shared pool, but ADAUSDT skips itself.
if (ethBuyingPower.Value >= adaBuyingPower.Value)
{
throw new RegressionTestException(
$"ETHUSDC buying power ({ethBuyingPower.Value}) must be less than ADAUSDT ({adaBuyingPower.Value}) " +
$"— shared BNFCR pool must deduct ADAUSDT maintenance margin");
}
}
public override void OnEndOfAlgorithm()
{
if (!Portfolio.Invested)
{
throw new RegressionTestException("Expected an open position at end of algorithm");
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
Debug($"{Time} {orderEvent}");
}
/// <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 };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 4322;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <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", "1"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "200"},
{"End Equity", "206.86"},
{"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", "$0.12"},
{"Estimated Strategy Capacity", "$340000.00"},
{"Lowest Capacity Asset", "ADAUSDT 18R"},
{"Portfolio Turnover", "148.31%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "177ae917deb456790cfbcaaaf1ec1f5c"}
};
}
}