Momentum Effect in Stocks (ROC) - 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_6003_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="momentumLookback" type="Integer" default="12" min="1">The number of bars used to calculate momentum.</param>
	## <param name="holdSymbols" type="Integer" default="20" min="1" max="10000">The number of symbols to hold.</param>
	## <param name="holdBars" type="Integer" default="1" min="1" max="10000000">The number of bars to hold the selected symbols.</param>
	## <param name="minimumPrice" type="Double" default="5" min="0" max="10000000">The minimum price required for a stock to be considered for investment.</param>
    def OnInitialize(self,
            momentumLookback,
            holdSymbols,
            holdBars,
            minimumPrice):
		# Create a list to hold a single indicator for each symbol.
        self._ROC = []
		# Create for holding whether the strategy is waiting for an open position to close.
        self._waitingToClose = []
		# 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), momentumLookback))
            # Add a list item for the current symbol index.
            self._waitingToClose.append(False)
            
		# Set the script parameter to a variable.
        self._momentumLookback = momentumLookback
		# Set the script parameter to a variable.
        self._holdSymbols = holdSymbols
		# Set the script parameter to a variable.
        self._holdBars = holdBars
		# Set the script parameter to a variable.
        self._minimumPrice = minimumPrice
        # Create for holding the number of bars open positions have been held.
        self._heldBars = 0
    #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):
		# Check whether all of the symbols have been updated.
        if isLastSymbol:
			# Check whether the bar is complete
            if DataIsComplete(0):
				# Increase the number of held bars.
                self._heldBars = self._heldBars + 1
			# Check whether the number of held bars matches the specified number of hold bars.
            if self._heldBars == self._holdBars:
				# Create a list to hold momentum values.
                symbolROC = []
				# Iterate over the symbols.
                for symIndex in range(SymbolCount()):
					# Switch the API functions to work with the current symbol.
                    SymbolSwitch(symIndex)
					# Check whether the strategy is not waiting for a position to be closed and there is currently an open position.
                    if not self._waitingToClose[symIndex] and PositionExists(C_PositionStatus.OPEN):
        				# Exit any open positions
                        BrokerClosePosition("Time to rebalance")
						# Record that the strategy is waiting for the position to be closed.
                        self._waitingToClose[symIndex] = True
					# Check whether there is enough history to calculate momentum, whether the stock price is above the minimum required price, and whether the symbol is active.
                    if DataClose(self._momentumLookback) != 0 and DataClose(0) >= self._minimumPrice and SymbolIsAvailable():
						# Get the momentum value for the latest bar of the current symbol.
                        symbolROC.append([symIndex, self._ROC[symIndex][0]])
                        
				# Sort the symbols by descending momentum values so that those with the higher signal values come first.
                symbolROC = sorted(symbolROC, key = lambda item: item[1], reverse = True)
                # Create an index variable.
                i = 0
				# Iterate over the number of symbols to hold.
                while i < len(symbolROC) and i < self._holdSymbols:
					# Switch the API functions to work with the current symbol.
                    SymbolSwitch(symbolROC[i][0])
					# Check to ensure there is not an open position or pending order.
                    if not PositionExists(C_PositionStatus.OPEN) and not OrderExists(C_Status.PENDING, None):
    					# Buy the current symbol while assuming that a position sizing script will assign the quantity.
                        BrokerMarket(C_ActionType.BUY, 0, C_TIF.DAY, "Ranked "+str(i + 1))
                    # Increment the index
                    i = i + 1
                    
				# Clear the number of held bars.
                self._heldBars = 0
    #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):
		# Switch the API functions to work with the current symbol.
        SymbolSwitch(symbolIndex)
		# Check whether the position just closed.
        if status == C_PositionStatus.CLOSED:
			# Record that the strategy is no longer waiting for the position to be closed.
            self._waitingToClose[symbolIndex] = False
    #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