Overall Statistics
Total Trades
2226
Average Win
0.61%
Average Loss
-0.08%
Compounding Annual Return
-96.208%
Drawdown
55.600%
Expectancy
-0.890
Net Profit
-54.056%
Sharpe Ratio
-3.64
Probabilistic Sharpe Ratio
0.000%
Loss Rate
99%
Win Rate
1%
Profit-Loss Ratio
7.78
Alpha
-0.895
Beta
0
Annual Standard Deviation
0.246
Annual Variance
0.06
Information Ratio
-3.922
Tracking Error
0.273
Treynor Ratio
-11613.066
Total Fees
$4116.25
Estimated Strategy Capacity
$430000.00
Lowest Capacity Asset
GC XUQKQ0O7BY59
class ConsolidatedFractals:
    def __init__(self, context):
        self.context = context
        
    
    def UpFractalFormula(self):
         if (self.context.longTradeBarWindow[4].Low > self.context.longTradeBarWindow[2].Low < self.context.longTradeBarWindow[3].Low) and (self.context.longTradeBarWindow[1].Low > self.context.longTradeBarWindow[2].Low < self.context.longTradeBarWindow[0].Low):
            return True
         else:
            return False
            
    def DownFractalFormula(self):
        if (self.context.longTradeBarWindow[4].High < self.context.longTradeBarWindow[2].High > self.context.longTradeBarWindow[3].High) and (self.context.longTradeBarWindow[1].High < self.context.longTradeBarWindow[2].High > self.context.longTradeBarWindow[0].High):
            return True
        else:
            return False
            
    def SetSupport(self, fiveUp):
        self.bullFive = 1 if fiveUp is True else 0
        
        if self.bullFive == 1:
            self.support = self.context.longTradeBarWindow[2].Low
            self.context.breakdown = False
            self.context.first_position_bear = False
            self.context.second_position_bear = False
            #Resets the losing_outcome becuase there's a new thesis
            self.context.bear_losing_outcome = False
            
            return self.support
            
        else:
            return self.context.support
    
    def SetResistance(self, fiveDown):
        self.bearFive = -1 if fiveDown is True else 0
        
        if self.bearFive == -1:
            self.resistance = self.context.longTradeBarWindow[2].High
            self.context.breakout = False
            self.context.first_position_bull = False
            self.context.second_position_bull = False
            #Reset the losing_outcome becuase there's a new thesis
            self.context.bull_losing_outcome = False
            
            return self.resistance
        else:
            return self.context.resistance
    
    
# Your New Python File
class Fractals:
    def __init__(self, context):
        self.context = context
        
    def BullishCalculations(self):
        #FRACTAL FOR BULLISH ENTRY AND HIGHER HIGH CALC
        if (self.context.quickTradeBarWindow[3].Low > self.context.quickTradeBarWindow[1].Low < self.context.quickTradeBarWindow[2].Low) and (self.context.quickTradeBarWindow[0].Low > self.context.quickTradeBarWindow[1].Low):
            self.OneUp = True
        else:
            self.OneUp = False
        
        if (self.context.quickTradeBarWindow[4].High < self.context.quickTradeBarWindow[2].High > self.context.quickTradeBarWindow[3].High) and (self.context.quickTradeBarWindow[1].High < self.context.quickTradeBarWindow[2].High > self.context.quickTradeBarWindow[0].High):
            self.OneDown = True
        else:
            self.OneDown = False
            
        if self.OneUp is True:
            self.context.bullOne = 1
        else:
            self.context.bullOne = 0
        
        if self.OneDown is True:
            self.context.bearOne = -1
        else:
            self.context.bearOne = 0
            
        return self.context.bearOne
            
    def BearishCalculations(self):
        if (self.context.quickTradeBarWindow[4].Low > self.context.quickTradeBarWindow[2].Low < self.context.quickTradeBarWindow[3].Low) and (self.context.quickTradeBarWindow[1].Low > self.context.quickTradeBarWindow[2].Low < self.context.quickTradeBarWindow[0].Low):
            self.OneUpBear = True
        else:
            self.OneUpBear = False
        
        if (self.context.quickTradeBarWindow[3].High < self.context.quickTradeBarWindow[1].High > self.context.quickTradeBarWindow[2].High) and (self.context.quickTradeBarWindow[0].High < self.context.quickTradeBarWindow[1].High):
            self.OneDownBear = True
        else:
            self.OneDownBear = False
        
        if self.OneUpBear is True:
            self.context.bullOneRed = 1
        else:
            self.context.bullOneRed = 0
        
        if self.OneDownBear is True:
            self.context.bearOneRed = -1
        else:
            self.context.bearOneRed = 0
            
        return self.context.bearOneRed
# Your New Python File
class FutureSetUp:
    def __init__(self, context):
        self.context = context
        
    def OpenInterestSecurityInitializer(self, security):
        if security.Type == SecurityType.Future:
            history = self.context.History([security.Symbol], timedelta(1))
            if 'openinterest' in history:
                oi = OpenInterest(self.context.Time, security.Symbol,
                    history.openinterest.dropna().iloc[-1])
                security.SetMarketPrice(oi)
                
    def GrabFrontMonthContract(self, slice):
        liquidContract = None
        for chain in slice.FutureChains:
            chainValue = chain.Value
            contracts = chainValue.Contracts
            for contract in contracts.Values:
                liquidContract = contract
        
        if liquidContract == None:
            return None
            
        else:
            return liquidContract
        
    def SetContract(self, slice):
        liquidContract = self.GrabFrontMonthContract(slice)
        
        if (liquidContract == None):
            return None
        
        self.context.liquidContractFive = liquidContract.Symbol
        
        if (self.context.liquidContract == None):
            self.context.liquidContract = self.context.liquidContractFive
            
        return liquidContract
# Your New Python File
class FiveOneFractalBreakoutCopy(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2021, 9, 15)  # Set Start Date
        self.SetCash(100000)  # Set Strategy Cash
        from future_set_up import FutureSetUp
        newFutureSetUp = FutureSetUp(self)
        self.SetSecurityInitializer(newFutureSetUp.OpenInterestSecurityInitializer)
        gc = self.AddFuture(Futures.Metals.Gold, Resolution.Minute)
        gc.SetFilter(lambda x: x.FrontMonth().OnlyApplyFilterAtMarketOpen())
        
        # VARIABLES & LIST
        self.rules = []
        self.bearFive = None
        self.bullFive = None
        self.bullOne = None
        self.bearOne = None
        self.FiveUp = None
        self.FiveDown = None
        self.first_low = None
        self.second_low = None
        self.first_high = None
        self.second_high = None
        
        #Used to check if the first trade in a thesis was a loser.
        self.bull_losing_outcome = False
        self.bear_losing_outcome = False
        
        #A set of variables used to limit re-entries to only happen once per thesis
        self.first_position_bull = None
        self.second_position_bull = None
        self.first_position_bear = None
        self.second_position_bear = None
        
        #Used for making sure re-entries happen on a new fractal
        self.entry_minute = None
        
        #DIRECTION VARIABLES
        self.support = None
        self.resistance = None
        self.breakout = None
        self.breakdown = None
        
        #HISTORY WINDOWS FOR 5M & 1M
        self.quickTradeBarWindow = RollingWindow[QuoteBar](5)
        self.longTradeBarWindow = RollingWindow[TradeBar](5)
        
        #FIVE MINUTE BARS
        self.Consolidate(gc.Symbol, timedelta(minutes=5), self.OnDataConsolidated)
        
        # ORDER VARIABLES
        self.short_stop = None
        self.second_short_stop = None
        self.long_stop = None
        self.second_long_stop = None
        self.long_entry = None
        self.second_long_entry = None
        self.short_entry = None
        self.second_short_entry = None
        self.long_exit = None
        self.second_long_exit = None
        self.short_exit = None
        self.second_short_exit = None
        self.openOrders = self.Transactions.GetOpenOrders()
        
        self.longOrders = []
        self.shortOrders = []
        
        self.partial_exit_fill_safety_long = None
        self.partial_fill_liq_price = None
        self.partial_exit_fill_safety_short = None
        self.partial_fill_liq_price = None
        
        self.risk_target = None
        self.buying_power = None
        self.share_size = None
        self.dollar_size = None
        self.liquidContract = None
        self.liquidContractFive = None
        
    
    
    def OnDataConsolidated(self, bar):
        #5M DATA SETUP
        self.liquidContract = self.liquidContractFive
        
        if self.liquidContract is None:
            return
        self.bar = bar
        self.longTradeBarWindow.Add(self.bar)
        if not self.longTradeBarWindow.IsReady:
            return
        from consolidated_fractals import ConsolidatedFractals
        newConsolidatedFractals = ConsolidatedFractals(self)
        
        #5M UP-FRACTAL FORMULA
        self.FiveUp = newConsolidatedFractals.UpFractalFormula()
        
        #5M DN-FRACTAL FORMULA
        self.FiveDown = newConsolidatedFractals.DownFractalFormula()
        
        #SET SUPPORT, RESET NON-DIRECTIONAL STATUS
        self.support = newConsolidatedFractals.SetSupport(self.FiveUp)
        #SET RESISTANCE, RESET NON-DIRECTIONAL STATUS
        self.resistance = newConsolidatedFractals.SetResistance(self.FiveDown)
            
        if self.support is None:
            return
        if self.resistance is None:
            return
        
        if self.partial_exit_fill_safety_long is True and self.Securities[self.liquidContract].Low <= self.partial_fill_liq_price:
            self.Liquidate(self.liquidContract)
            self.partial_exit_fill_safety_long = False
            self.partial_fill_liq_price = None
            
        if self.partial_exit_fill_safety_short is True and self.Securities[self.liquidContract].Low >= self.partial_fill_liq_price:
            self.Liquidate(self.liquidContract)
            self.partial_exit_fill_safety_short = False
            self.partial_fill_liq_price = None
        
        #SET BULLISH DIRECTIONAL STATUS
        if self.Securities[self.liquidContract].Close > self.resistance:
            self.breakout = True
        
        #SET BEARISH DIRECTIONAL STATUS
        if self.Securities[self.liquidContract].Close < self.support:
            self.breakdown = True
    

    def OnData(self, slice):
        from future_set_up import FutureSetUp
        from quick_window import QuickWindow
        from fractals import Fractals
        
        #Set Contract
        newFutureSetUp = FutureSetUp(self)
        liquidContract = newFutureSetUp.SetContract(slice)
        if(liquidContract == None):
            return
        
        #UPDATE QUICK WINDOW
        newQuickWindow = QuickWindow(self)
        isReady = newQuickWindow.UpdateQuickWindow(slice)
        if(not isReady):
            return
        
        #LIQUIDATES POSITIONS IN THE EVENT OF A DOUBLE-FILL
        if self.openOrders is [] and self.Portfolio.Invested:
            self.Liquidate(self.liquidContract)

        newFractal = Fractals(self)
        #FRACTAL FOR BULLISH ENTRY AND HIGHER HIGH CALC
        self.bearOne = newFractal.BullishCalculations()
        
        #FRACTAL FOR BEARISH ENTRY AND LOWER LOW CALC
        self.bearOneRed = newFractal.BearishCalculations()
    
        #HIGHER HIGHS...
        if self.bearOne == -1 and self.first_high is None:
            self.first_high = self.quickTradeBarWindow[2].High
        
        #If we have the first high but not the second...
        elif self.bearOne == -1 and self.first_high is not None and self.second_high is None:
            self.second_high = self.quickTradeBarWindow[2].High
            
        #If we have the first two highs and there's a new fractal...
        elif self.bearOne == -1 and self.first_high is not None and self.second_high is not None:
            self.pass_v = self.second_high
            self.second_high = self.quickTradeBarWindow[2].High
            self.first_high = self.pass_v
        
        #if values are all empty, return...
        if self.second_high is None or self.first_high is None:
            return
        
        #If highers highs...
        if self.second_high >= self.first_high and "Highs" not in self.rules:
            self.rules.append("Highs")
            
        elif self.second_high < self.first_high and "Highs" in self.rules:
            self.rules.remove("Highs")
        
        
        #LOWER LOWS...
        if self.bullOneRed == 1 and self.first_low is None:
            self.first_low = self.quickTradeBarWindow[2].Low
        
        #If we have the first high but not the second...
        elif self.bullOneRed == 1 and self.first_low is not None and self.second_low is None:
            self.second_low = self.quickTradeBarWindow[2].Low
            
        #If we have the first two highs and there's a new fractal...
        elif self.bullOneRed == 1 and self.first_low is not None and self.second_low is not None:
            self.pass_v = self.second_low
            self.second_low = self.quickTradeBarWindow[2].Low
            self.first_low = self.pass_v
        
        #if values are all empty, return...
        if self.second_low is None or self.first_low is None:
            return
        
        #If lower lows...
        if self.second_low <= self.first_low and "Lows" not in self.rules:
            self.rules.append("Lows")
        #Remove lows if they are higher    
        elif self.second_low > self.first_low and "Lows" in self.rules:
            self.rules.remove("Lows")
        
        invested = self.Portfolio.Invested
        close_price = self.quickTradeBarWindow[0].Close
        
        self.Debug("RULES: " + str(self.rules))
        self.Debug("BREAKDOWN: " + str(self.breakdown))
        self.Debug("BREAKOUT: " + str(self.breakout))
        self.Debug("BULL FRACTAL: " + str(self.bullOne))
        self.Debug("BEAR FRACTAL: " + str(self.bearOneRed))
        self.Debug("BREAKDOWN: " + str(self.breakdown))
        self.Debug("SUPPORT: " + str(self.support))
        self.Debug("RESISTANCE: " + str(self.resistance))
        self.Debug("INVESTED: " + str(invested))
        self.Debug("CLOSE PRICE: " + str(close_price))
        
        
        #BEARISH EXECUTION LOGIC = 5M CLOSING BREAK, NOT HOLDING, 1M FRACTAL, ENTRY PRICE < SUPPORT
        if self.breakdown is True and not self.Portfolio.Invested and self.bearOneRed == -1 and self.quickTradeBarWindow[0].Close < self.support and "Lows" in self.rules and self.second_position_bear is False:
            
            self.Debug("BEAR IF EXECUTION MET")
            
            #ENTRY AT THE CLOSE OF THE CANDLE FOLLOWING THE FRACTAL
            self.entry_price = self.quickTradeBarWindow[0].Close
            #STOP ONE TICK ABOVE THE HIGHEST FRACTAL POINT 
            self.stop_price = self.quickTradeBarWindow[1].High + 0.01
            #TICK DISTANCE FOR EXIT
            self.pass_value = (self.stop_price - self.entry_price) * 2
            #2:1 EXIT PRICE 
            self.exit_price = self.entry_price - self.pass_value
            
            #AVAILABLE CAPITAL
            self.buying_power = self.Portfolio.Cash
            #DOLLAR RISK TARGET (0.25%)
            self.risk_target = self.buying_power / 400
            #ENTRY-STOP DOLLAR DISTANCE
            self.risk_per_share = self.pass_value / 2
            #IDEAL SHARE SIZE (avaiable capital not considered)
            self.share_size = self.risk_target / self.risk_per_share
            #PRICE OF IDEAL SIZE
            self.dollar_size = self.share_size * self.entry_price
            #COMPARES IDEAL SIZE WITH CAPITAL
            if self.dollar_size > self.buying_power:
                #NEW SHARE SIZE
                self.share_size = self.buying_power / self.entry_price
        
            #TEMP CONDITION THAT REDUCES MASSIVE TRADES
            if self.entry_price > self.second_low and self.first_position_bear is False:
                self.Debug("LAST BEAR CONDITION")
                #SHORT
                self.short_entry = self.LimitOrder(self.liquidContract, -1, self.entry_price)
                #CUT LOSSES
                self.short_stop = self.StopMarketOrder(self.liquidContract, 1, self.stop_price)
                #TAKE PROFIT
                self.short_exit = self.LimitOrder(self.liquidContract, 1, self.exit_price)
                #STORES ORDER TICKETS IN A LIST
                self.shortOrders = [self.short_entry, self.short_stop, self.short_exit]
                #STORES FIRST TRADE AS HAVING HAPPENED
                self.first_position_bear = True
                #LOGS TIME ORDERS WERE PLACED
                self.entry_minute = self.Time.minute
        
        
            if self.entry_price > self.second_low and self.first_position_bear is True and self.second_position_bear is False and self.Time.minute > self.entry_minute or self.Time.minute == 0 and self.entry_minute != 0 and self.bear_losing_outcome is True:
                self.Debug("LAST BEAR CONDITION")
                #SHORT
                self.second_short_entry = self.LimitOrder(self.liquidContract, -1, self.entry_price)
                #CUT LOSSES
                self.second_short_stop = self.StopMarketOrder(self.liquidContract, 1, self.stop_price)
                #TAKE PROFIT
                self.second_short_exit = self.LimitOrder(self.liquidContract, 1, self.exit_price)
                #STORES ORDER TICKETS IN A LIST
                self.shortOrders = [self.second_short_entry, self.second_short_stop, self.second_short_exit]
                #STORES SECOND POSITION
                self.second_position_bear = True
            
        
        #BREAKOUT EXECUTION (NEED TO ADD PRICE CONDITION)
        if self.breakout is True and not self.Portfolio.Invested and self.bullOne == 1 and self.quickTradeBarWindow[0].Close > self.resistance and "Highs" in self.rules and self.second_position_bull is False:
        
            self.Debug("BULL IF EXECUTION MET")
            #ENTRY AT THE CLOSE OF THE CANDLE FOLLOWING THE FRACTAL
            self.entry_price = self.quickTradeBarWindow[0].Close
            #STOP ONE TICK BELOW THE LOWEST FRACTAL POINT 
            self.stop_price = self.quickTradeBarWindow[1].Low - 0.01
            #TICK DISTANCE FOR EXIT
            self.pass_value = (self.entry_price - self.stop_price) * 2
            #2:1 EXIT PRICE 
            self.exit_price = (self.pass_value + self.quickTradeBarWindow[0].Close)
            
            #AVAILABLE CAPITAL
            self.buying_power = self.Portfolio.Cash
            #DOLLAR RISK TARGET (0.25%)
            self.risk_target = self.buying_power / 400
            #ENTRY-STOP DOLLAR DISTANCE
            self.risk_per_share = self.pass_value / 2
            #IDEAL SHARE SIZE (avaiable capital not considered)
            self.share_size = self.risk_target / self.risk_per_share
            #PRICE OF IDEAL SIZE
            self.dollar_size = self.share_size * self.entry_price
            #COMPARES IDEAL SIZE WITH CAPITAL
            if self.dollar_size > self.buying_power:
                #NEW SHARE SIZE
                self.share_size = self.buying_power / self.entry_price
        
            #TEMP CONDITION THAT REDUCES MASSIVE TRADES
            if self.entry_price < self.second_high and self.first_position_bull is False:
                self.Debug("LAST BULL CONDITION")
                self.long_entry = self.LimitOrder(self.liquidContract, 1, self.entry_price)
                self.long_stop = self.StopMarketOrder(self.liquidContract, -1, self.stop_price)
                self.long_exit = self.LimitOrder(self.liquidContract, -1, self.exit_price)
                self.longOrders = [self.long_entry, self.long_stop, self.long_exit]
                self.first_position_bull = True
                self.entry_minute = self.Time.minute
            
            if self.entry_price < self.second_high and self.first_position_bull is True and self.second_position_bull is False and self.Time.minute > self.entry_minute or self.Time.minute == 0 and self.entry_minute != 0 and self.bull_losing_outcome is True:
                self.Debug("LAST BULL CONDITION")
                self.second_long_entry = self.LimitOrder(self.liquidContract, 1, self.entry_price)
                self.second_long_stop = self.StopMarketOrder(self.liquidContract, -1, self.stop_price)
                self.second_long_exit = self.LimitOrder(self.liquidContract, -1, self.exit_price)
                self.longOrders = [self.second_long_entry, self.second_long_stop, self.second_long_exit]
                self.second_position_bull = True

    
    def OnOrderEvent (self, orderEvent):
        
        #CLOSES ALL IF LONG ENTRY NOT FILLED AND EXIT REACHED
        if self.longOrders is not None:
            if orderEvent.Status == OrderStatus.Submitted and not self.Portfolio.Invested and orderEvent.OrderId in self.longOrders and self.Securities[self.liquidContract].High >= self.exit_price:
                self.Transactions.CancelOpenOrders(self.liquidContract)
                self.Liquidate(self.liquidContract)
        
        #CLOSES ALL IF SHORT ENTRY NOT FILLED AND EXIT REACHED    
        if self.shortOrders is not None:
            if orderEvent.Status == OrderStatus.Submitted and not self.Portfolio.Invested and orderEvent.OrderId in self.shortOrders and self.Securities[self.liquidContract].Low <= self.exit_price:
                self.Transactions.CancelOpenOrders(self.liquidContract)    
                self.Liquidate(self.liquidContract)
        
        #CLOSES ALL IF AN ORDER IS FILLED AND WE'RE NOT INVESTED
        if orderEvent.Status == OrderStatus.Filled and not self.Portfolio.Invested:
            self.Transactions.CancelOpenOrders(self.liquidContract)
            self.Liquidate(self.liquidContract)
        
        #CLOSES ALL IF BUY STOP IS FILLED
        if self.short_stop is not None:
            if orderEvent.Status == OrderStatus.Filled and orderEvent.OrderId == self.short_stop:
                self.Transactions.CancelOpenOrders(self.liquidContract)
                self.Liquidate(self.liquidContract)
        
        #CLOSES ALL IF SELL STOP IS FILLED
        if self.long_stop is not None:
            if orderEvent.Status == OrderStatus.Filled and orderEvent.OrderId == self.long_stop:
                self.Transactions.CancelOpenOrders(self.liquidContract)
                self.Liquidate(self.liquidContract)
        
        #CLOSES ALL IF BUY LIMIT IS FILLED FOR SHORT POSITION
        if self.short_exit is not None:
            if orderEvent.Status == OrderStatus.Filled and orderEvent.OrderId == self.short_exit:
                self.Transactions.CancelOpenOrders(self.liquidContract)
                self.Liquidate(self.liquidContract)
        
        #CLOSES ALL IF SELL LIMIT IS FILLED FOR LONG POSITION
        if orderEvent.Status == OrderStatus.Filled and orderEvent.OrderId == self.short_exit:
                self.Transactions.CancelOpenOrders(self.liquidContract)
                self.Liquidate(self.liquidContract)
        
        #If the first bullish trade was a LOSS, set the value of bull_losing_outcome to True
        if orderEvent.OrderId == self.long_stop and orderEvent.Status == OrderStatus.Filled:
            self.bull_losing_outcome = True
        
        #If the first bearish trade was a LOSS, set the value of bear_losing_outcome to True
        if orderEvent.OrderId == self.short_stop and orderEvent.Status == OrderStatus.Filled:
            self.bear_losing_outcome = True
            
        
        #Partial-Filled Exit Safety Measures, far from ideal, still doesn't account for entry partial fills.
        if orderEvent.OrderId == self.long_exit and orderEvent.OrderStatus == OrderStatus.PartiallyFilled:
            self.long_stop.Cancel
            self.partial_exit_fill_safety_long = True
        elif orderEvent.OrderId == self.long_exit and orderEvent.OrderStatus == OrderStatus.Filled:
            self.partial_exit_fill_safety_long = False
            
        if orderEvent.OrderId == self.second_long_exit and orderEvent.OrderStatus == OrderStatus.PartiallyFilled:
            self.second_long_stop.Cancel
            self.partial_exit_fill_safety_long = True
        elif orderEvent.OrderId == self.second_long_exit and orderEvent.OrderStatus == OrderStatus.Filled:
            self.partial_exit_fill_safety_long = False
        
        if orderEvent.OrderId == self.short_exit and orderEvent.OrderStatus == OrderStatus.PartiallyFilled:
            self.short_stop.Cancel
            self.partial_exit_fill_safety_short = True
        elif orderEvent.OrderId == self.short_exit and orderEvent.OrderStatus == OrderStatus.PartiallyFilled:
            self.partial_exit_fill_safety_short = False
            
        if orderEvent.OrderId == self.second_short_exit and orderEvent.OrderStatus == OrderStatus.PartiallyFilled:
            self.second_short_stop.Cancel
            self.partial_exit_fill_safety_short = True
        elif orderEvent.OrderId == self.second_short_exit and orderEvent.OrderStatus == OrderStatus.PartiallyFilled:
            self.partial_exit_fill_safety_short = False
class QuickWindow:
    def __init__(self, context):
        self.context = context
        
    
    def UpdateQuickWindow(self, slice):
        if slice.ContainsKey(self.context.liquidContract):
            self.context.quickTradeBarWindow.Add(self.context.CurrentSlice[self.context.liquidContract])
        
        if not self.context.quickTradeBarWindow.IsReady:
            return False
        
        
        #SETS TRADING HOURS AND EOD LIQUIDATION
        #if self.Time.hour < 6:
        #    return
        
        #if self.Time.hour > 16:
        #    return
        
        if self.context.Time.hour == 15 and self.context.Time.minute == 59:
            self.context.Liquidate(self.context.liquidContract)
            
        return True
# Your New Python File