Seasonality Effect based on Same-Calendar Month Returns - Python

Seasonality Effect based on Same-Calendar Month Returns - Python

#region Namespaces
# ---------- DON'T REMOVE OR EDIT THESE LINES -------------------
# These lines are required for integrating Python with our .NET platform.
import clr
clr.AddReference("Tickblaze.Model")
import ScriptCode
from MultiSymbolTradingStrategyAPI import *
from AssemblyMultiSymbolTradingStrategy_6005_ImportedScripts import *
# ---------------------------------------------------------------
#endregion

## <summary>
## Multi-Symbol Trading Strategy scripts are used for simultaneously trading a group of symbols from a single strategy instance. 
## Common use-cases include pair trading strategies, basket trading strategies and dynamic index strategies, all of which need to evaluate multiple symbols at the same time in order to make trading decisions.
## </summary>
class MyMultiSymbolTradingStrategy(ScriptCode.MultiSymbolTradingStrategyScriptBase):  # NEVER CHANGE THE CLASS NAME
    #region Variables
    # Variables Content
    #endregion

    #region OnInitialize
    ## <summary>
    ## This function is used for accepting the script parameters and for initializing the script prior to all other function calls.
    ## Once the script is assigned to a Desktop, its parameter values can be specified by the user and can be selected for optimization. 
    ## </summary>
    ## --------------------------------------------------------------------------------------------------
    ##                                 INSTRUCTIONS - PLEASE READ CAREFULLY
    ## --------------------------------------------------------------------------------------------------
    ## YOU MUST SET A PARAM TAG FOR EACH PARAMETER ACCEPTED BY THIS FUNCTION.
    ## ALL PARAM TAGS SHOULD BE SET IN THE 'OnInitialize' REGION, RIGHT ABOVE THE 'OnInitialize' FUNCTION.
    ## THE ORDER OF THE TAGS MUST MATCH THE ORDER OF THE ACTUAL PARAMETERS.

    ## REQUIRED ATTRIBUTES:
    ## (1) name: The exact parameter name.
    ## (2) type: The type of data to collect from the user: 
    ## Set to "Integer" when the data type is an integer.
    ## Set to "IntegerArray" when the data type is an integer list.
    ## Set to "DateTime" when the data type is is an integer representing a date/time.
    ## Set to "DateTimeArray" when the data type is an integer list representing a list of date/time.
    ## Set to "Boolean" when the data type is a boolean.
    ## Set to "BooleanArray" when the data type is a list of booleans.
    ## Set to "Double" when the data type is a number.
    ## Set to "DoubleArray" when the data type is a list of numbers.
    ## Set to "String" when the data type is a string.
    ## Set to "StringArray" when the data type is a list of strings.

    ## OPTIONAL ATTRIBUTES:
    ## (3) default: The default parameter value is only valid when the type is Integer, Boolean, Double, String or an API Type. 
    ## (4) min: The minimum parameter value is only valid when the type is Integer or Double.
    ## (5) max: The maximum parameter value is only valid when the type is Integer or Double.

    ## EXAMPLE: <param name="" type="" default="" min="" max="">Enter the parameter description here.</param> 
    ## --------------------------------------------------------------------------------------------------
	## <param name="yearlyLookback" type="Integer" default="6" min="1">The number of bars used to calculate return.</param>
	## <param name="holdSymbols" type="Integer" default="10" min="1" max="10000">The number of symbols to hold for each trade direction (long/short).</param>
	## <param name="enableShorting" type="Boolean" default="True">Indicates whether to enable the trading strategy to short symbols. </param>
	## <param name="enableLonging" type="Boolean" default="True">Indicates whether to enable the trading strategy to long symbols. </param>
	## <param name="stopLoss" type="Double" default="0">The percent distance from the entry price in which to place a stop loss order. (0 to ignore). </param>
	## <param name="takeProfit" type="Double" default="0">The percent distance from the entry price in which to place a take profit order. (0 to ignore). </param>
	## <param name="minimumPrice" type="Double" default="5">The minimum price a symbol can have to be eligible for trading.</param>
    def OnInitialize(self,
            yearlyLookback,
            holdSymbols,
            enableShorting,
            enableLonging,
            stopLoss,
            takeProfit,
            minimumPrice):
		# Set the script parameters to script variables.
        self._yearlyLookback = yearlyLookback
        self._holdSymbols = holdSymbols
        self._enableShorting = enableShorting
        self._enableLonging = enableLonging
        self._stopLoss = stopLoss
        self._takeProfit = takeProfit
        self._minimumPrice = minimumPrice
		# Create a list to hold a single indicator for each symbol.
        self._ROC = []
		# Iterate over all of the symbol indexes.
        for symbolIndex in range(SymbolCount()):
			# Create a copy for the current symbol index.
            self._ROC.append(IndicatorROC(self, IndicatorCLOSE(self, symbolIndex), 1))
            
		# Calculate the minimum number of symbols needed to trade.
        self._requiredSymbols = 2 * self._holdSymbols if (self._enableLonging and self._enableShorting) else self._holdSymbols
		# The number of months in a year.
        self._MONTHS_PER_YEAR = 12
    #endregion

    #region OnBarUpdate
    ## <summary>
    ## This function is called after each new bar of each symbol assigned to the Desktop strategy. 
    ## It should evaluate the specified symbol and its new bar in order to determine whether to generate new orders for it. 
    ## Never create indicators, signals or patterns from OnBarUpdate, for performance reasons those should be created from OnInitialize.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The index of the symbol in the strategy symbol table</param>
    ## <param name="dataSeries" type="Integer">The number indicating the data series from which the symbol was updated.
    ## According to the Desktop strategy data series settings: 0 for the main data series, 1 for the second data series, etc.</param>
    ## <param name="completedBars" type="Integer">The number of completed bars for the specified symbol since the last call to OnBarUpdate.
    ## Always 1 unless the bar type can generate multiple completed bars from a single tick/minute/day update (depending on the underlying bar source).</param>
    ## <param name="isLastSymbol" type="Boolean">Indicates whether this is the last symbol to be updated for the current bar. 
    ## The parameter is valid when the bars for different symbols have matching timestamps, e.g. 1m, 5m, 1d, 1w, etc.</param>
    def OnBarUpdate(self, symbolIndex, dataSeries, completedBars, isLastSymbol):
		# Switch the API functions to work with the current symbol.
        SymbolSwitch(symbolIndex)
		# Check whether all of the symbols have been updated and the bar is complete.
        if isLastSymbol and DataIsComplete(0):
			# Exit any open positions.
            BrokerCloseAllPositions("Time to rebalance")
			# Create a list to hold return values.
            symbolROC = []
			# Iterate through each symbol.
            for symIndex in range(SymbolCount()):
				# Switch the API functions to work with the current symbol.
                SymbolSwitch(symIndex)
				# Create a variable to hold the average monthly calendar return for next month.
                nextMonthAverageReturn = 0
				# Create a variable to hold the number of years used in calculating the average calendar month return.
                yearCount = 0
                # Create a variable to hold the current bar shift.
                barShift = 11
				# Iterate back 12 months at a time for the number years required starting with next month's return the prior year.
                while barShift <= self._yearlyLookback * self._MONTHS_PER_YEAR - 1:
					# Check whether the return value is valid.
                    if self._ROC[symIndex][barShift] != 0:
						# Add the return to the running sum.
                        nextMonthAverageReturn = nextMonthAverageReturn + self._ROC[symIndex][barShift]
						# Increase the year count.
                        yearCount = yearCount + 1
					# Increase the barshift by the number of months per year.
                    barShift += self._MONTHS_PER_YEAR
                    
				# Check whether there was enough history to calculate the return.
                if yearCount == self._yearlyLookback:
					# Finish calculation of average calendar month return.
                    nextMonthAverageReturn = nextMonthAverageReturn / self._yearlyLookback
					# Check whether the symbol is trading above the minimum price and whether the symbol is active.
                    if DataClose(0) > self._minimumPrice and SymbolIsAvailable():
						# Get the return value for the latest bar of the current symbol.
                        symbolROC.append([symIndex, nextMonthAverageReturn])
                        
			# Sort the symbols by descending return values so that those with higher returns come first.
            symbolROC = sorted(symbolROC, key = lambda item: item[1], reverse = True)
			# Check whether there are enough symbols to trade.
            if len(symbolROC) >= self._requiredSymbols:
				# Check whether the trading strategy can go long.
                if self._enableLonging:
					# Create a variable to hold the current long symbol index.
                    longSymbolIndex = 0
					# Iterate over the strongest performing symbols.
                    while longSymbolIndex <= len(symbolROC) and longSymbolIndex < self._holdSymbols:
						# Switch the API functions to work with the current symbol.
                        SymbolSwitch(symbolROC[longSymbolIndex][0])
						# Buy the current symbol while assuming that a position sizing script will assign the quantity.
                        orderIndex = BrokerMarket(C_ActionType.BUY, 0, C_TIF.GTC, "Ranked "+str(longSymbolIndex + 1))
						# Set a stop loss on the order. 
                        BrokerSetStopLossPercent(orderIndex, self._stopLoss, True, "Stop loss")
						# Set a take profit on the order. 
                        BrokerSetTakeProfitPercent(orderIndex, self._takeProfit, True, "Profit target")
                        # Increment the long symbol index.
                        longSymbolIndex = longSymbolIndex + 1
                        
    			# Sort the symbols by ascending return values so that those with lower returns come first.
                symbolROC = sorted(symbolROC, key = lambda item: item[1])
				# Check whether the trading strategy can go short.
                if self._enableShorting:
					# Create a variable to hold the current short symbol index.
                    shortSymbolIndex = 0
					# Iterate over the weakest performing symbols.
                    while shortSymbolIndex < len(symbolROC) and shortSymbolIndex < self._holdSymbols:
						# Switch the API functions to work with the current symbol.
                        SymbolSwitch(symbolROC[shortSymbolIndex][0])
						# Sell short the current symbol while assuming that a position sizing script will assign the quantity.
                        orderIndex = BrokerMarket(C_ActionType.SELL_SHORT, 0, C_TIF.GTC, "Ranked "+str(shortSymbolIndex + 1))
						# Set a stop loss on the order. 
                        BrokerSetStopLossPercent(orderIndex, self._stopLoss, True, "Stop loss")
						# Set a take profit on the order. 
                        BrokerSetTakeProfitPercent(orderIndex, self._takeProfit, True, "Profit target")
                        # Increment the short symbol index.
                        shortSymbolIndex = shortSymbolIndex + 1
    #endregion

    #region OnOrderFillUpdate
    ## <summary>
    ## This function is called for each new order fill.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The symbol index</param>
    ## <param name="orderIndex" type="Integer">The order index</param>
    ## <param name="orderFillIndex" type="Integer">The order fill index</param>
    def OnOrderFillUpdate(self, symbolIndex, orderIndex, orderFillIndex):
        # OnOrderFillUpdate Content
        pass
    #endregion

    #region OnOrderUpdate
    ## <summary>
    ## This function is called when an order is executed or cancelled.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The underlying symbol index of the order</param>
    ## <param name="orderIndex" type="Integer">The order index</param>
    ## <param name="status" type="C_Status">The updated status of the order</param>
    def OnOrderUpdate(self, symbolIndex, orderIndex, status):
        # OnOrderUpdate Content
        pass
    #endregion

    #region OnPositionUpdate
    ## <summary>
    ## This function is called when a position is opened or closed. 
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The underlying symbol index of the position</param>
    ## <param name="positionIndex" type="Integer">The position index</param>
    ## <param name="status" type="C_PositionStatus">The updated status of the position</param>
    def OnPositionUpdate(self, symbolIndex, positionIndex, status):
        # OnPositionUpdate Content
        pass
    #endregion

    #region OnSessionUpdate
    ## <summary>
    ## This function is called when a session is opened or closed.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The symbol index whose session is updated</param>
    ## <param name="status" type="C_SessionStatus">The session status</param>
    def OnSessionUpdate(self, symbolIndex, status):
        # OnSessionUpdate Content
        pass
    #endregion

    #region OnNewsUpdate
    ## <summary>
    ## This function is called when a news update is received and only if the NO_NEWS_UPDATES comment is removed.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The symbol index for the update</param>
    ## <param name="dateTime" type="DateTime">The date/time in which the update was received by the platform</param>
    ## <param name="title" type="String">The update title</param>
    ## <param name="message" type="String">The update message</param>   
    ## <param name="type" type="C_MessageType">The update message type</param>
    def OnNewsUpdate(self, symbolIndex, dateTime, title, message, type):
        # OnNewsUpdate Content
        # [NO_NEWS_UPDATES] - Delete this comment to enable news updates to this strategy.
        pass
    #endregion

    #region OnRSSUpdate
    ## <summary>
    ## This function is called when an RSS update is received and only if the NO_RSS_UPDATES comment is removed.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The symbol index for the update</param>
    ## <param name="dateTime" type="DateTime">The date/time in which the update was received by the platform</param>
    ## <param name="title" type="String">The update title</param>
    ## <param name="message" type="String">The update message</param>   
    ## <param name="type" type="C_MessageType">The update message type</param>
    def OnRSSUpdate(self, symbolIndex, dateTime, title, message, type):
        # OnRSSUpdate Content
        # [NO_RSS_UPDATES] - Delete this comment to enable RSS updates to this strategy.
        pass
    #endregion

    #region OnAlertUpdate
    ## <summary>
    ## This function is called when an alert update is received and only if the NO_ALERT_UPDATES comment is removed.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The symbol index for the update</param>
    ## <param name="dateTime" type="DateTime">The date/time in which the update was received by the platform</param>
    ## <param name="message" type="String">The update message</param>   
    ## <param name="type" type="C_MessageType">The update message type</param>
    def OnAlertUpdate(self, symbolIndex, dateTime, message, type):
        # OnAlertUpdate Content
        # [NO_ALERT_UPDATES] - Delete this comment to enable alert updates to this strategy.
        pass
    #endregion

    #region OnJournalUpdate
    ## <summary>
    ## This function is called when a journal update is received and only if the NO_JOURNAL_UPDATES comment is removed.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The symbol index for the update</param>
    ## <param name="dateTime" type="DateTime">The date/time in which the update was received by the platform</param>
    ## <param name="title" type="String">The update title</param>
    ## <param name="message" type="String">The update message</param>   
    ## <param name="type" type="C_MessageType">The message type</param>
    def OnJournalUpdate(self, symbolIndex, dateTime, title, message, type):
        # OnJournalUpdate Content
        # [NO_JOURNAL_UPDATES] - Delete this comment to enable journal updates to this strategy.
        pass
    #endregion

    #region OnDataConnectionUpdate
    ## <summary>
    ## This function is called when a data connection update is received and only if the NO_DATA_CONNECTION_UPDATES comment is removed.
    ## </summary>
    ## <param name="symbolIndex" type="Integer">The symbol index for the update</param>
    ## <param name="dateTime" type="DateTime">The date/time in which the update was received by the platform</param>
    ## <param name="message" type="String">The update message</param>   
    ## <param name="type" type="C_MessageType">The update message type</param>
    def OnDataConnectionUpdate(self, symbolIndex, dateTime, message, type):
        # OnDataConnectionUpdate Content
        # [NO_DATA_CONNECTION_UPDATES] - Delete this comment to enable data connection updates to this strategy.
        pass
    #endregion

    #region OnBrokerConnectionUpdate
    ## <summary>
    ## This function is called when a broker connection update is received and only if the NO_BROKER_CONNECTION_UPDATES comment is removed.
    ## </summary>
    ## <param name="dateTime" type="DateTime">The date/time in which the update was received by the platform</param>
    ## <param name="message" type="String">The update message</param>   
    ## <param name="type" type="C_MessageType">The update message type</param>
    def OnBrokerConnectionUpdate(self, dateTime, message, type):
        # OnBrokerConnectionUpdate Content
        # [NO_BROKER_CONNECTION_UPDATES] - Delete this comment to enable broker connection updates to this strategy.
        pass
    #endregion

    #region OnShutdown
    ## <summary>
    ## This function is called when the script is shutdown.
    ## </summary>
    def OnShutdown(self):
        # OnShutdown Content
        pass
    #endregion