# Your New Python File

import sp500
import russell3000
import test_universe
class RetrospectiveYellowShark(QCAlgorithm):


    def Initialize(self):
       
        self.SetStartDate(2004, 1, 1)  # Set Start Date
        self.SetCash(10000)  # Set Strategy Cash
        self.breakout_frequency = int(self.GetParameter("breakout_frequency"))
        self.index_name = "SPY"
        # for symbol in sp500.get_sp500_symbols():
        # for symbol in russell3000.get_russell3000_symbols():
            # self.AddEquity(symbol,Resolution.Daily)
        self.AddUniverse(self.Universe.QC500)
        # for symbol in test_universe.get_test_symbols():
        #   self.AddEquity(symbol,Resolution.Daily)
        
        self.AddEquity(self.index_name,Resolution.Daily)
        self.UniverseSettings.Resolution = Resolution.Daily
        self.symbols = {}
        self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin);
        self.Schedule.On(self.DateRules.Every(DayOfWeek.Tuesday),self.TimeRules.At(hour=1,minute=0),self.weekend_trader_main)
      
        
        self.buy_slots = 20
        self.leverage_factor = 1.5
        self.stop_loss_factor = 0.4
        self.minimum_roc = float(self.GetParameter("minimum_roc"))
        
        #symbol data
        self.index_symbol_name = self.Symbol(self.index_name)
        self.consolidator = TradeBarConsolidator(Calendar.Weekly)
        self.index_sma = SimpleMovingAverage(int(self.breakout_frequency/2))
        self.RegisterIndicator(self.index_symbol_name,self.index_sma,self.consolidator)
        self.index_latest_close = 0
        self.consolidator.DataConsolidated += self.OnDataConsolidated
        self.SubscriptionManager.AddConsolidator(self.index_symbol_name, self.consolidator)
    
    def OnDataConsolidated(self, sender, bar):#only handle index data
        self.index_latest_close = bar.Close
        
    def weekend_trader_main(self):
        
        
        invested_symbols = [symbol for symbol in self.symbols if self.Portfolio[self.symbols[symbol].symbol].Invested ]
        not_invested_symbols = [symbol for symbol in self.symbols if not self.Portfolio[self.symbols[symbol].symbol].Invested if symbol != self.index_symbol_name.Value]
        self.slots_available = self.buy_slots - len(invested_symbols)
        
        
        #sell 
        for symbol in invested_symbols:
            if self.symbols[symbol].to_be_sold:
                liquidation = self.Liquidate(self.symbols[symbol].symbol)
                self.slots_available+=1
        
        #buy 
        index_symbol_data = self.symbols[self.index_symbol_name.Value]
       
        #index has to be ready
        if not self.index_sma.IsReady:
            return
        
       
        if(self.index_latest_close < self.index_sma.Current.Value): 
            return
        
        
        
        filter_one = [symbol for symbol in not_invested_symbols if self.symbols[symbol].breakout] #after check breakout 
       
        #put a rate of change of some amount >30
        filter_two = sorted([symbol for symbol in filter_one if self.symbols[symbol].roc > self.minimum_roc] ,key=lambda symbol: self.symbols[symbol].roc, reverse=True)
        
        
        for slot_index in range(self.slots_available):
            
            if slot_index > len(filter_two)-1:
                break
            
            symbol_data = self.symbols[filter_two[slot_index]]
            number_of_shares =  round((self.Portfolio.TotalPortfolioValue/self.buy_slots)*self.leverage_factor/ symbol_data.latest_close)
            self.MarketOrder(symbol_data.symbol,number_of_shares)
            symbol_data.stop_loss = symbol_data.latest_close*(1-self.stop_loss_factor)
            symbol_data.to_be_sold = False
            

    def OnSecuritiesChanged(self, changes):
        for security in changes.AddedSecurities:
            symbol = security.Symbol
            if symbol not in self.symbols:
                self.symbols[symbol.Value] = SymbolData(self, symbol)
               
                
        for security in changes.RemovedSecurities:
            symbol = security.Symbol
            if symbol in self.symbols:
                symbolData = self.symbols.pop(symbol.Value, None)
                self.SubscriptionManager.RemoveConsolidator(symbol, symbolData.consolidator)
                #and sell
                if self.Portfolio[self.symbols[symbol].symbol].Invested:
                     self.Liquidate(self.symbols[symbol].symbol)
                

            
class SymbolData:
    
    def __init__(self, algorithm, symbol):
        
        self.algorithm = algorithm
        self.symbol = symbol
        self.breakout = False
        self.latest_close = None
        self.breakout_window = RollingWindow[float](algorithm.breakout_frequency) 
        self.stop_loss = None
        self.to_be_sold = False
            
        self.consolidator = TradeBarConsolidator(Calendar.Weekly)
        self.consolidator.DataConsolidated += self.OnDataConsolidated
        algorithm.SubscriptionManager.AddConsolidator(symbol, self.consolidator)
    
    def OnDataConsolidated(self, sender, bar):
        
        self.latest_close = bar.Close
        self.breakout_window.Add(bar.Close)
        
        if self.algorithm.Portfolio[self.symbol].Invested:
            #check index is over 10 SMA
            #symbol data for index
            
            if(self.algorithm.index_latest_close < self.algorithm.index_sma.Current.Value): 
                #stop loss / 4
                self.stop_loss = max(self.stop_loss,self.latest_close*(1-self.algorithm.stop_loss_factor/4))
            else:
                self.stop_loss = max(self.stop_loss,self.latest_close*(1-self.algorithm.stop_loss_factor))
            
            # self.algorithm.Debug(f"{self.algorithm.Time}: {self.stop_loss}")
            if self.latest_close < self.stop_loss:
                self.to_be_sold = True
            return
        
        #Below are meant when not invested
        if not self.breakout_window.IsReady: 
            self.breakout = None
            return
    
        
        if max(self.breakout_window) == bar.Close: #20 week high ?
            self.breakout = True
        else:
            self.breakout = False
            return
        
        #roc
        beginning_price = self.breakout_window[self.algorithm.breakout_frequency - 1]
        self.roc = (bar.Close - beginning_price)/beginning_price
        
            
            
            
            
                
 

def get_russell3000_symbols():
    return 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# Your New Python File

def get_sp500_symbols():
    return ["AAPL","MSFT","AMZN","TSLA","GOOGL","GOOG","FB","NVDA","BRK.B","JPM","JNJ","UNH","HD","PG","V","BAC","MA","PFE","XOM","DIS","CSCO","AVGO","ADBE","CVX","PEP","TMO","KO","ABBV","CMCSA","NFLX","ABT","ACN","COST","CRM","INTC","WFC","VZ","PYPL","WMT","QCOM","MRK","LLY","MCD","T","NKE","DHR","LOW","LIN","TXN","NEE","AMD","UNP","PM","INTU","UPS","HON","MS","MDT","BMY","AMAT","ORCL","SCHW","CVS","RTX","C","GS","AMGN","BLK","BA","CAT","IBM","SBUX","AMT","PLD","GE","ISRG","COP","TGT","ANTM","AXP","DE","MU","SPGI","MMM","NOW","BKNG","F","ADP","ZTS","LRCX","PNC","MDLZ","MO","ADI","GILD","LMT","SYK","GM","TFC","TJX","USB","CB","MMC","CSX","CCI","CME","DUK","CI","EL","CHTR","SHW","BDX","EW","MRNA","ICE","SO","FIS","ITW","NSC","CL","COF","ETN","EQIX","APD","FCX","FISV","REGN","TMUS","D","KLAC","PGR","BSX","FDX","ILMN","AON","HCA","WM","NOC","EOG","NXPI","MCO","EMR","VRTX","ADSK","JCI","ECL","PSA","EXC","SPG","DG","TEL","AIG","SLB","HUM","SNPS","ATVI","MET","NEM","INFO","APH","GD","BK","IQV","KMB","ROP","XLNX","PXD","CNC","MCHP","ORLY","CTSH","AEP","IDXX","CARR","CDNS","MPC","MAR","DOW","HPQ","TT","DLR","DXCM","PRU","A","MSCI","DD","GPN","LHX","SRE","AZO","BAX","APTV","MSI","CMG","PH","HLT","GIS","FTNT","SIVB","SYY","TRV","STZ","O","PAYX","EBAY","TROW","PPG","ADM","MCK","AFL","WBA","DFS","ALGN","ROK","WELL","YUM","PSX","STT","ROST","EA","AMP","IFF","XEL","RMD","SBAC","OTIS","FRC","CTVA","ALL","CBRE","CTAS","BIIB","MNST","WMB","AVB","MTCH","FAST","MTD","KEYS","KMI","FITB","VLO","TDG","CMI","KR","AJG","PEG","AME","PCAR","VRSK","DHI","NUE","SWK","DVN","WY","EQR","EFX","TWTR","EPAM","WEC","ANSS","AWK","OXY","ES","DLTR","LEN","ODFL","ED","BLL","ARE","CPRT","ANET","GLW","WTW","HSY","WST","ZBRA","NTRS","EXR","ALB","TSN","OKE","RSG","CERN","SYF","LUV","EXPE","LH","ZBH","KHC","CDW","DAL","VMC","TSCO","FTV","LYB","DOV","TER","MLM","HBAN","KEY","CHD","MAA","SWKS","HIG","HES","HAL","IT","URI","EIX","IR","RF","MKC","CFG","MTB","VFC","DTE","PPL","STE","BBY","BKR","AEE","HPE","PKI","DRE","FE","ESS","CLX","VRSN","STX","SBNY","ETR","GWW","VIAC","NDAQ","NTAP","ETSY","VTR","FANG","EXPD","WAT","ULTA","XYL","COO","WDC","POOL","FLT","RJF","ABC","GPC","GRMN","TDY","TYL","GNRC","PEAK","ENPH","IP","CE","NVR","KMX","PFG","TRMB","BR","AMCR","DRI","CTLT","CMS","MPWR","RCL","AKAM","CCL","VTRS","CINF","TTWO","BXP","CZR","HOLX","MGM","CTRA","DPZ","DGX","CRL","WAB","AVY","J","CNP","TXT","IEX","UDR","JBHT","EMN","K","OMC","MAS","CAG","PAYC","FDS","QRVO","BRO","AAP","LKQ","AES","SJM","UAL","TECH","NLOK","MOS","TFX","KIM","EVRG","BBWI","LNT","CAH","LYV","IPG","PWR","PHM","MRO","FMC","FBHS","CHRW","WHR","FFIV","CF","HRL","ABMD","ATO","INCY","MKTX","SEDG","BIO","IRM","HWM","CMA","HAS","PKG","LDOS","FOXA","HST","CBOE","LNC","RHI","L","WRK","AAL","JKHY","LVS","BF.B","APA","PTC","WRB","BWA","SNA","XRAY","REG","CTXS","CDAY","PNR","ZION","JNPR","RE","LUMN","ALLE","AOS","NI","TPR","HSIC","SEE","UHS","NRG","LW","MHK","GL","BEN","TAP","FRT","CPB","AIZ","PBCT","DISH","NWSA","NWL","WYNN","DXC","NCLH","IVZ","OGN","DISCK","PNW","HII","DVA","PENN","PVH","ROL","NLSN","VNO","ALK","IPGP","RL","FOX","DISCA","GPS","UAA","UA","NWS"]

def get_test_symbols():
    return ["ABMD"]

# Your New Python File