Overall Statistics |
Total Orders 2 Average Win 0.10% Average Loss 0% Compounding Annual Return -0.800% Drawdown 14.200% Expectancy 0 Start Equity 100000 End Equity 97375.38 Net Profit -2.625% Sharpe Ratio -0.409 Sortino Ratio -0.547 Probabilistic Sharpe Ratio 2.667% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.015 Beta -0.09 Annual Standard Deviation 0.079 Annual Variance 0.006 Information Ratio -0.476 Tracking Error 0.462 Treynor Ratio 0.36 Total Fees â‚®4.03 Estimated Strategy Capacity â‚®20000000.00 Lowest Capacity Asset BTCUSDT 2V3 Portfolio Turnover 0.01% |
# region imports from AlgorithmImports import * # endregion class BybitBrokerageExampleAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2021, 1, 1) self.set_account_currency("USDT", 100_000) self.set_brokerage_model(BrokerageName.BYBIT, AccountType.MARGIN) self._symbol = self.add_crypto_future("BTCUSDT", Resolution.MINUTE).symbol # Set default order properties self.default_order_properties = BybitOrderProperties() self.default_order_properties.time_in_force = TimeInForce.GOOD_TIL_CANCELED self.default_order_properties.post_only = False self.default_order_properties.reduce_only = False def on_data(self, data): if self.portfolio.invested: return # Place an order with the default order properties self.market_order(self._symbol, 0.1) # Place an order with new order properties order_properties = BybitOrderProperties() order_properties.time_in_force = TimeInForce.GOOD_TIL_CANCELED order_properties.post_only = True order_properties.reduce_only = False ticket = self.limit_order(self._symbol, -0.5, round(data[self._symbol].price + 5000, 1), order_properties = order_properties) # Update the order order_fields = UpdateOrderFields() order_fields.quantity = -0.4 order_fields.limit_price = round(data[self._symbol].price + 1000, 1) order_fields.tag = "Informative order tag" response = ticket.update(order_fields) if not self.live_mode and response.is_success: self.debug("Order updated successfully")