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
-15.307
Tracking Error
0.072
Treynor Ratio
0
Total Fees
$0.00
Estimated Strategy Capacity
$0
Lowest Capacity Asset
Portfolio Turnover
0%
 
from AlgorithmImports import *
class HourAndDailySynch(QCAlgorithm):
    def initialize(self):
        self.set_start_date(2024, 8, 15)
        self.AddEquity("SPY", Resolution.HOUR)
        [self.add_equity(ticker, Resolution.DAILY)
            for ticker in ["SH", "AAPL", "MSFT", "AMZN", "GOOGL", "TSLA", "NVDA", "META"]]
    def on_data(self, data: Slice):
        for symbol, bar in data.bars.items():
            self.log(f'{symbol} :: {bar}')