Machine Learning in ProOrder ProRealTime
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@Paul I prefer keeping the output variable as ValueX and rather assign the target variable to ValueX (i.e. after the algorithm just set boxsize = ValueX)
Also remember ‘day ‘only goes up to 28-31 (depending on the month) and then starts again at 1 from the next month. So perhaps rather try this:
12345678910111213141516171819202122If monthinit = 1 or monthinit = 3 or monthinit = 5 or monthinit = 7 or monthinit = 8 or monthinit = 10 or monthinit = 12 ThenMonthDays = 31ElsIf monthinit = 4 or monthinit = 6 or monthinit = 9 or monthinit = 11 ThenMonthDays = 30ElsIf monthinit = 2 ThenIf (inityear/4 = round(inityear/4)) or (inityear/400 = round(inityear/400)) Then //haha not sure how exactly to do thisMonthDays = 29 //leap yearElseMonthDays = 28EndIfEndIfIf (month = monthinit and day = dayinit + ResetPeriod) or (month = monthinit + 1 and (day + (MonthDays - dayinit)) >= ResetPeriod) ThenValueX = StartingValueWinCountB = 0StratAvgB = 0BestA = 0BestB = 0dayinit = daymonthinit = monthyearinit = yearEndIf1 user thanked author for this post.
Depends on what you mean.
If it is the same target variable just used in different sections of the code then yes else no.
The reason being that if you apply it to 2 or more different variables the algorithm will not be able to tell which one is causing the performance increase or decrease.
I have experimented with literally duplicating the algorithm (slightly changing the name of each variable in the algorithm) and assigning it’s output to a second variable.
And although this works to some extent it definitely reduces the accuracy and efficacy of the algorithm for the same reasons mentioned above.
1 user thanked author for this post.
@GraHal to answer your questions:
- There is ‘theoretically’ no need to reset, I have merely included the option to ‘start fresh’ every quarter/year etc. in the event that optimization perhaps went wrong
- Not sure if I understand you correctly but after the evaluation period (Reps) only a single increment is made either up or down depending on which appears to improve performance more.
Here is the version of the algo outputting ‘ValueY’ (Remember the performance evaluation of each algo is only done after the amount of trades (specified as Reps) and will therefore not be useful using an alternate bar optimization method. Best is to code it so that each algo gets it’s own evaluation period. Although it would require at least 2 evaluation periods to really know if performance is increasing or decreasing. So perhaps an additional ‘wait counter’ should be built into the startegy giving each also 2 or more evaluation periods before giving the next algo a turn.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105// Heuristics Algorithm 2 StartIf onmarket[1] = 1 and onmarket = 0 Thenoptimize2 = optimize2 + 1EndifStartingValue2 = 200ResetPeriod2 = 8 //Specify no of months after which to reset optimizationIncrement2 = 20MaxIncrement2 = 4 //Limit of no of increments either up or downReps2 = 3 //Number of trades to use for analysisMaxValue2 = 270 //Maximum allowed valueMinValue2 = increment //Minimum allowed valueonce monthinit2 = monthonce yearinit2 = yearIf (year = yearinit2 and month = (monthinit2 + ResetPeriod2)) or (year = (yearinit2 + 1) and ((12 - monthinit2) + month = ResetPeriod2)) ThenValueY = StartingValue2WinCountB2 = 0StratAvgB2 = 0BestA2 = 0BestB2 = 0monthinit2 = monthyearinit2 = yearEndIfonce ValueY = StartingValue2once PIncPos2 = 1 //Positive Increment Positiononce NIncPos2 = 1 //Neative Increment Positiononce Optimize2 = 0 ////Initialize Heuristicks Engine Counter (Must be Incremented at Position Start or Exit)once Mode2 = 1 //Switches between negative and positive increments//once WinCountB2 = 3 //Initialize Best Win Count//GRAPH WinCountB2 coloured (0,0,0) AS "WinCountB2"//once StratAvgB2 = 4353 //Initialize Best Avg Strategy Profit//GRAPH StratAvgB2 coloured (0,0,0) AS "StratAvgB2"If Optimize2 = Reps2 ThenWinCountA2 = 0 //Initialize current Win CountStratAvgA2 = 0 //Initialize current Avg Strategy ProfitFor i2 = 1 to Reps2 DoIf positionperf(i) > 0 ThenWinCountA2 = WinCountA2 + 1 //Increment Current WinCountEndIfStratAvgA2 = StratAvgA2 + (((PositionPerf(i)*countofposition[i]*100000)*-1)*-1)NextStratAvgA2 = StratAvgA2/Reps2 //Calculate Current Avg Strategy Profit//Graph (PositionPerf(1)*countofposition[1]*100000)*-1 as "PosPerf1-2"//Graph (PositionPerf(2)*countofposition[2]*100000)*-1 as "PosPerf2-2"//Graph StratAvgA2*-1 as "StratAvgA2"//once BestA2 = 300//GRAPH BestA2 coloured (0,0,0) AS "BestA2"If StratAvgA2 >= StratAvgB2 ThenStratAvgB2 = StratAvgA2 //Update Best Strategy ProfitBestA2 = ValueYEndIf//once BestB2 = 300//GRAPH BestB2 coloured (0,0,0) AS "BestB2"If WinCountA2 >= WinCountB2 ThenWinCountB2 = WinCountA2 //Update Best Win CountBestB2 = ValueYEndIfIf WinCountA2 > WinCountB2 and StratAvgA2 > StratAvgB2 ThenMode = 0ElsIf WinCountA2 < WinCountB2 and StratAvgA2 < StratAvgB2 and Mode2 = 1 ThenValueY = ValueY - (Increment2*NIncPos2)NIncPos2 = NIncPos2 + 1Mode2 = 2ElsIf WinCountA2 >= WinCountB2 or StratAvgA2 >= StratAvgB2 and Mode2 = 1 ThenValueY = ValueY + (Increment2*PIncPos2)PIncPos2 = PIncPos2 + 1Mode = 1ElsIf WinCountA2 < WinCountB2 and StratAvgA2 < StratAvgB2 and Mode2 = 2 ThenValueY = ValueY + (Increment2*PIncPos2)PIncPos2 = PIncPos2 + 1Mode2 = 1ElsIf WinCountA2 >= WinCountB2 or StratAvgA2 >= StratAvgB2 and Mode2 = 2 ThenValueY = ValueY - (Increment2*NIncPos2)NIncPos2 = NIncPos2 + 1Mode2 = 2EndIfIf NIncPos2 > MaxIncrement2 or PIncPos2 > MaxIncrement2 ThenIf BestA2 = BestB2 ThenValueY = BestAElseIf reps2 >= 10 ThenWeightedScore2 = 10ElseWeightedScore2 = round((reps2/100)*100)EndIfValueY = round(((BestA2*(20-WeightedScore2)) + (BestB2*WeightedScore2))/20) //Lower Reps = Less weight assigned to Win%EndIfNIncPos2 = 1PIncPos2 = 1ElsIf ValueY > MaxValue2 ThenValueY = MaxValue2ElsIf ValueY < MinValue2 ThenValueY = MinValue2EndIFOptimize2 = 0EndIf// Heuristics Algorithm 2 End
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