Created with Highcharts 12.1.2EquityJan 2010Mar 2010May 2010Jul 2010Sep 2010Nov 2010Jan 2011Mar 2011May 2011Jul 2011Sep 2011Nov 2011Jan 20120200k400k-2000120100k200k00.250.5102030025M50M
Overall Statistics
Total Orders
48
Average Win
7.01%
Average Loss
-2.75%
Compounding Annual Return
59.808%
Drawdown
21.100%
Expectancy
1.513
Start Equity
100000
End Equity
254948.57
Net Profit
154.949%
Sharpe Ratio
1.399
Sortino Ratio
1.721
Probabilistic Sharpe Ratio
61.640%
Loss Rate
29%
Win Rate
71%
Profit-Loss Ratio
2.55
Alpha
0.367
Beta
1.232
Annual Standard Deviation
0.32
Annual Variance
0.102
Information Ratio
1.571
Tracking Error
0.243
Treynor Ratio
0.363
Total Fees
$913.89
Estimated Strategy Capacity
$3400000.00
Lowest Capacity Asset
REGN R735QTJ8XC9X
Portfolio Turnover
2.19%
# region imports
from AlgorithmImports import *
# endregion

TICKERS = ['MSFT', 'AAPL', 'NVDA', 'GOOG', 'GOOGL', 'AMZN', 'META', 'BRK.B', 'LLY', 'AVGO', 'TSLA', 'JPM', 'V', 'XOM', 'WMT', 'UNH', 'MA', 'PG', 'JNJ', 'COST', 'ORCL', 'HD', 'MRK', 'BAC', 'CVX', 'ABBV', 'NFLX', 'CRM', 'KO', 'AMD', 'PEP', 'TMO', 'QCOM', 'ADBE', 'WFC', 'LIN', 'DHR', 'TMUS', 'MCD', 'ACN', 'CSCO', 'DIS', 'INTU', 'AMAT', 'TXN', 'ABT', 'GE', 'CAT', 'AXP', 'AMGN', 'VZ', 'MS', 'PFE', 'IBM', 'NOW', 'NEE', 'PM', 'BX', 'CMCSA', 'GS', 'UNP', 'ISRG', 'MU', 'COP', 'SCHW', 'RTX', 'NKE', 'SPGI', 'INTC', 'ETN', 'UBER', 'HON', 'BKNG', 'LOW', 'ELV', 'LRCX', 'SYK', 'UPS', 'T', 'C', 'PGR', 'BLK', 'VRTX', 'BA', 'MDT', 'LMT', 'BSX', 'TJX', 'REGN', 'DE', 'CB', 'ADI', 'MMC', 'ADP', 'KLAC', 'PLD', 'PANW', 'ANET', 'CI', 'MDLZ', 'ABNB', 'AMT', 'FI', 'SBUX', 'SO', 'SNPS', 'CMG', 'BMY', 'HCA', 'GILD', 'WM', 'GD', 'APH', 'DUK', 'MO', 'CDNS', 'ZTS', 'ICE', 'SHW', 'CL', 'FCX', 'TT', 'CME', 'MCO', 'EQIX', 'TDG', 'ITW', 'EOG', 'TGT', 'CVS', 'MCK', 'CTAS', 'PH', 'CEG', 'NXPI', 'NOC', 'SLB', 'MAR', 'BDX', 'ECL', 'PYPL', 'EMR', 'CSX', 'USB', 'PNC', 'AON', 'MPC', 'FDX', 'MSI', 'PSX', 'WELL', 'CARR', 'APD', 'RSG', 'ORLY', 'ROP', 'MMM', 'AJG', 'OXY', 'MNST', 'PCAR', 'MRNA', 'EW', 'COF', 'VLO', 'TFC', 'CPRT', 'SMCI', 'AIG', 'DXCM', 'MCHP', 'MET', 'HLT', 'GM', 'WMB', 'NEM', 'NSC', 'AFL', 'PSA', 'SRE', 'TRV', 'DHI', 'JCI', 'AEP', 'AZO', 'OKE', 'SPG', 'O', 'F', 'HES', 'EL', 'ADSK', 'GWW', 'FTNT', 'DLR', 'TEL', 'URI', 'KDP', 'STZ', 'PAYX', 'D', 'A', 'KMB', 'GEV', 'LEN', 'ALL', 'ROST', 'BK', 'KMI', 'CCI', 'KHC', 'FIS', 'COR', 'AMP', 'HUM', 'IDXX', 'LHX', 'PRU', 'HSY', 'CNC', 'IQV', 'DOW', 'NUE', 'PCG', 'MSCI', 'GIS', 'PWR', 'OTIS', 'CHTR', 'CTVA', 'YUM', 'AME', 'CMI', 'KR', 'LULU', 'RCL', 'EXC', 'IR', 'KVUE', 'ACGL', 'ODFL', 'FAST', 'SYY', 'PEG', 'GEHC', 'MPWR', 'NDAQ', 'VRSK', 'MLM', 'CSGP', 'XYL', 'FANG', 'IT', 'VMC', 'HWM', 'EA', 'LVS', 'CTSH', 'FICO', 'DAL', 'ED', 'HAL', 'DD', 'BIIB', 'BKR', 'GRMN', 'VST', 'LYB', 'MTD', 'RMD', 'HPQ', 'XEL', 'DVN', 'VICI', 'DFS', 'PPG', 'ON', 'DG', 'GLW', 'CDW', 'EXR', 'ROK', 'TSCO', 'ADM', 'HIG', 'WAB', 'EIX', 'EFX', 'ANSS', 'AVB', 'CBRE', 'GPN', 'FTV', 'WEC', 'EBAY', 'TROW', 'TRGP', 'CHD', 'AWK', 'FITB', 'WTW', 'RJF', 'TTWO', 'BRO', 'MTB', 'DOV', 'KEYS', 'EQR', 'DLTR', 'IFF', 'PHM', 'VLTO', 'WST', 'ZBH', 'ETR', 'IRM', 'DTE', 'WDC', 'NVR', 'BR', 'LYV', 'CAH', 'NTAP', 'FE', 'STT', 'HPE', 'DECK', 'STE', 'FSLR', 'WY', 'ROL', 'BF.B', 'APTV', 'PPL', 'TER', 'PTC', 'BALL', 'AXON', 'HUBB', 'ARE', 'ES', 'INVH', 'SBAC', 'TSN', 'K', 'STLD', 'GPC', 'TYL', 'WAT', 'CTRA', 'HBAN', 'BLDR', 'CCL', 'LDOS', 'WRB', 'MOH', 'HRL', 'AEE', 'ALGN', 'MKC', 'STX', 'VTR', 'PFG', 'CNP', 'TDY', 'WBD', 'CBOE', 'COO', 'CPAY', 'CMS', 'OMC', 'CINF', 'AVY', 'ULTA', 'RF', 'EQT', 'SYF', 'DPZ', 'ATO', 'DRI', 'BAX', 'UAL', 'HOLX', 'J', 'VRSN', 'NRG', 'LH', 'NTRS', 'FDS', 'ILMN', 'EG', 'CE', 'ESS', 'TXT', 'L', 'LUV', 'CLX', 'CFG', 'EXPD', 'ZBRA', 'JBHT', 'IEX', 'PKG', 'MAA', 'DGX', 'BBY', 'GEN', 'MAS', 'ENPH', 'NWSA', 'NWS', 'AES', 'ALB', 'SWKS', 'MRO', 'FOXA', 'FOX', 'CAG', 'BG', 'SNA', 'AMCR', 'IP', 'KEY', 'AKAM', 'WBA', 'CF', 'POOL', 'JBL', 'EXPE', 'TRMB', 'PNR', 'RVTY', 'NDSN', 'DOC', 'CPB', 'WRK', 'SWK', 'LNT', 'NI', 'UDR', 'VTRS', 'TECH', 'HST', 'INCY', 'KIM', 'PODD', 'MGM', 'EVRG', 'LW', 'AOS', 'BEN', 'JKHY', 'DVA', 'SJM', 'IPG', 'LKQ', 'EMN', 'CRL', 'APA', 'KMX', 'CPT', 'JNPR', 'BBWI', 'REG', 'EPAM', 'TAP', 'WYNN', 'ALLE', 'UHS', 'RL', 'SOLV', 'PAYC', 'FFIV', 'TFX', 'HII', 'CTLT', 'MOS', 'BXP', 'TPR', 'CHRW', 'DAY', 'QRVO', 'HSIC', 'GNRC', 'AAL', 'PNW', 'AIZ', 'HAS', 'PARA', 'FRT', 'BWA', 'BIO', 'MKTX', 'FMC', 'MTCH', 'CZR', 'GL', 'MHK', 'ETSY', 'NCLH', 'RHI', 'IVZ', 'CMA']

class AdaptableYellowGreenAlpaca(QCAlgorithm):

    # def CustomBarHandler(self, bar):
    #     self.windows[self.tickers.index(bar.symbol)].Add(bar)

    def change(self, before, after):
        diff = after-before
        return diff/before

    def OnEndOfAlgorithm(self):
        self.Liquidate()


    def initialize(self):
        self.set_start_date(2010, 1, 1)
        self.set_end_date(2012, 1, 1)
        self.set_cash(100000)
        self.tickers = [self.AddEquity(i, Resolution.Daily).Symbol for i in TICKERS]
        # self.windows = [RollingWindow[TradeBar](64) for i in range(len(TICKERS))]

        self.SetBenchmark(self.AddEquity("SPY").Symbol)

        self.period = timedelta(90)
        self.nextEntryTime = self.Time

        self.AMOUNT = 3

    def on_data(self, data: Slice):
        if self.Time > DateTime(2011,12,1):
            self.Liquidate()
        elif self.nextEntryTime <= self.Time:
            self.Liquidate()
            self.Log("SELL")
            # for window in self.windows:
            #     if not window.IsReady:
            #         return
            stocks = {}
            for ticker in self.tickers:
                hist = self.History(ticker, timedelta(90), Resolution.Daily)
                half = len(hist.index) // 2
                lower = hist.iloc[:half,:]
                higher = hist.iloc[half:,:]
                try:

                    lh = max(lower["close"])
                    hh = max(higher["close"])

                    diffChange = self.change(lh,hh)
                    stocks[diffChange] = ticker
                except:
                    pass

            sortedStocks = dict(sorted(stocks.items()))
            sortedStocks = dict(reversed(list(sortedStocks.items())))

            toBuy = list(sortedStocks.values())[:self.AMOUNT]
            for ticker in toBuy:
                self.Log("BUY " + str(ticker.value))
                self.SetHoldings(ticker, 1/len(toBuy))
            # self.MarketOrder(self.spy, int(self.Portfolio.Cash / price) )
            self.nextEntryTime = self.Time + self.period