| 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% |
from AlgorithmImports import *
class ot(QCAlgorithm):
def initialize(self):
self.set_start_date(2025, 6, 17)
self.universe_settings.resolution = Resolution.TICK
self._universe = self.add_universe(self.universe.dollar_volume.top(10))
self.cutoff = time(9,32)
def on_data(self, data: Slice):
if self.time.time() > self.cutoff:
return
for symbol, ticks in data.ticks.items():
for tick in [x for x in ticks if x.TickType == TickType.TRADE]:
self.log(f'{self.time} : {tick} : {tick.sale_condition=} {tick.parsed_sale_condition=}')
def on_securities_changed(self, changes):
self.log(f"{self.time} on_securities_changed: {[k.value for k in self._universe.members.keys]}")