Overall Statistics |
Total Trades 2 Average Win 0.35% Average Loss 0% Compounding Annual Return 10.689% Drawdown 17.200% Expectancy 0 Net Profit 10.653% Sharpe Ratio 0.528 Probabilistic Sharpe Ratio 27.765% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.086 Beta 0.238 Annual Standard Deviation 0.164 Annual Variance 0.027 Information Ratio -1.235 Tracking Error 0.517 Treynor Ratio 0.364 Total Fees $82.67 Estimated Strategy Capacity $4500000.00 Lowest Capacity Asset BTCUSD E3 |
class BitfinexBrokerageExampleAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 1, 1) self.SetCash(100000) self.SetBrokerageModel(BrokerageName.Bitfinex, AccountType.Margin) self.symbol = self.AddCrypto("BTCUSD", Resolution.Minute).Symbol # Set default order properties self.DefaultOrderProperties = BitfinexOrderProperties() self.DefaultOrderProperties.TimeInForce = TimeInForce.Day self.DefaultOrderProperties.Hidden = False self.DefaultOrderProperties.PostOnly = False def OnData(self, data): if self.Portfolio.Invested: return # Place an order with the default order properties self.MarketOrder(self.symbol, 1) # Place an order with new order properties order_properties = BitfinexOrderProperties() order_properties.TimeInForce = TimeInForce.GoodTilCanceled order_properties.PostOnly = True order_properties.Hidden = True ticket = self.LimitOrder(self.symbol, -0.5, round(data[self.symbol].Price + 5000, 2), orderProperties = order_properties) # Update the order order_fields = UpdateOrderFields() order_fields.Quantity = -0.4 order_fields.LimitPrice = round(data[self.symbol].Price + 1000, 2) order_fields.Tag = "Informative order tag" response = ticket.Update(order_fields) if not self.LiveMode and response.IsSuccess: self.Debug("Order updated successfully")