| 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)