Overall Statistics
Total Trades
113
Average Win
0.62%
Average Loss
-0.52%
Compounding Annual Return
7.685%
Drawdown
5.400%
Expectancy
0.202
Net Profit
12.027%
Sharpe Ratio
0.828
Probabilistic Sharpe Ratio
38.591%
Loss Rate
45%
Win Rate
55%
Profit-Loss Ratio
1.18
Alpha
0.052
Beta
0.117
Annual Standard Deviation
0.066
Annual Variance
0.004
Information Ratio
0.232
Tracking Error
0.139
Treynor Ratio
0.47
Total Fees
$372.61
Estimated Strategy Capacity
$26000000.00
Lowest Capacity Asset
XLV RGRPZX100F39
# region imports
from AlgorithmImports import *
# endregion

class HipsterFluorescentPinkMule(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2021, 7, 30)  # Set Start Date
        self.SetCash(100000)  # Set Strategy Cash
        self.symbol = self.AddEquity("XLV", Resolution.Daily).Symbol
        self.Settings.FreePortfolioValuePercentage = 0.25
        self.dataset_symbol = self.AddData(RegalyticsRegulatoryArticles, "REG").Symbol
        self.SetBenchmark(self.symbol)

    def OnData(self, slice: Slice) -> None:
        # Parse articles
        if not slice.ContainsKey(self.dataset_symbol):
            return
        fda_news = False
        articles = slice[self.dataset_symbol]
        for article in articles:
            if "FDA" in article.Title:
                fda_news = True
                self.last_fda_news = self.Time
        if fda_news and not self.Portfolio[self.symbol].IsLong:
            self.SetHoldings(self.symbol, 1)
        elif not fda_news and not self.Portfolio[self.symbol].IsShort:
            self.SetHoldings(self.symbol, -0.25)