This code snippet demonstrates how to implement a trading strategy in ProBuilder that evaluates multiple variations of a single variable to decide on trade entries and position sizing. The strategy checks a range of settings for an indicator and places trades based on the cumulative signals from these settings.

a = (start of range to check)
b = (end of range to check)
PosSizeIncrease = 0 // Set to 1 to turn on increased position sizing
PositionSize = 1
Flag = 0
For Period = a to b
    Indicator1 = (indicator)[Period]
    Indicator2 = (indicator)[Period]
    IF (long entry conditions) THEN
        Flag = Flag + 1
    ENDIF
    IF (short entry conditions) THEN
        Flag = Flag - 1
    ENDIF
NEXT
IF PosSizeIncrease = 1 THEN
    PositionSize = ABS(Flag)
ENDIF
IF Flag > 0 THEN
    BUY PositionSize Contracts at Market
ENDIF
IF Flag < 0 THEN
    SELLSHORT PositionSize Contracts at Market
ENDIF
IF LongOnMarket and (long exit conditions) THEN
    SELL at market
ENDIF
IF ShortOnMarket and (short exit conditions) THEN
    EXITSHORT at market
ENDIF

The code snippet above is structured to handle multiple conditions for entering and exiting trades based on a range of indicator periods. Here's a step-by-step breakdown:

• Variable Initialization: Variables a and b define the start and end of the range for the indicator periods to check. PosSizeIncrease controls whether position sizing increases with the number of signals, and PositionSize starts as 1.
• Loop Through Indicator Periods: A loop runs from a to b, calculating the indicator values for each period. It adjusts the Flag variable up or down based on whether the conditions for a long or short entry are met.
• Adjust Position Size: If PosSizeIncrease is enabled, the absolute value of Flag (number of net positive or negative signals) determines the position size.
• Execute Trades: Trades are executed based on the value of Flag: buying if positive (indicating more long signals) and selling short if negative (more short signals).
• Exit Conditions: The strategy also includes conditions for exiting trades, both for long and short positions.

This approach allows a strategy to be more flexible and potentially more robust by considering multiple scenarios for entry rather than relying on a single parameter setting.