Overall Statistics |
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 100000 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 ₹0.00 Estimated Strategy Capacity ₹0 Lowest Capacity Asset Portfolio Turnover 0% |
# region imports from AlgorithmImports import * # endregion class SamcoBrokerageExampleAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2021, 1, 1) self.set_account_currency("INR") self.set_cash(100000) self.set_brokerage_model(BrokerageName.SAMCO, AccountType.MARGIN) self._symbol = self.add_equity("YESBANK", Resolution.MINUTE, Market.INDIA).symbol # Set default order properites self.default_order_properties = IndiaOrderProperties(Exchange.NSE, IndiaOrderProperties.IndiaProductType.NRML) self.default_order_properties.time_in_force = TimeInForce.GOOD_TIL_CANCELED def on_data(self, data): if self.portfolio.invested: return # Place an order with the default order properties self.limit_order(self._symbol, 1, round(data[self._symbol].price + 100, 1)) # Place an order and with new order properties order_properties = IndiaOrderProperties(Exchange.BSE, IndiaOrderProperties.IndiaProductType.MIS) ticket = self.limit_order(self._symbol, 1, round(data[self._symbol].price * .9, 1), order_properties = order_properties) # Update the order update_settings = UpdateOrderFields() update_settings.limit_price = round(data[self._symbol].price * .95, 1) ticket.update(update_settings)