NEW VECTORIALS DAX 5M BASED ON VECTORIAL DAX OF BALMORA74

• 12/22/2019 at 9:34 PM #115387
  Roger

  Nice! It would be very kind for the community if you could post the .itf file.

  

  Roger

  Participant

  Topics: 9

  Replies: 93

  Been thanked: 30 times
  04/27/2020 at 2:40 AM #128302
  Paul

  I applied machine learning the the vectorial dax. If you post your ITF I will try to add it.

   

  2 users thanked author for this post.

  Nicolas, Balmora74

  

  Paul

  Participant

  Topics: 40

  Replies: 812

  Been thanked: 660 times
  04/27/2020 at 2:08 PM #128429
  nonetheless

  Hi Paul, I’ve also been working on applying ML to the vectorial DAX, but so far the results are mixed. Are you using ValueX,Y for the angles?

  From the attached you can see that %win is slightly better, Gain/loss is better, but the curve is about the same and profit is less. I’d love to see what you’ve done with it.

  4 users thanked author for this post.

  Paul, Nicolas, Balmora74

  

  nonetheless

  Participant

  Topics: 83

  Replies: 1237

  Been thanked: 978 times
  04/27/2020 at 10:59 PM #128513
  Fran55

  Machine learning no learn???

  

  Fran55

  Participant

  Topics: 34

  Replies: 210

  Been thanked: 7 times
  04/28/2020 at 2:33 PM #128635
  Paul

  @Fran55 what?

  @nonetheless In your code btw, ML only considers positions from not onmarket to market. It ignores results going long->short and visa versa. If you make that change result go up a bit.

  here’s what I used as ML But it’s not what makes the results the way they are. I had to optimise all paramaters below to get anywhere near the result without ML.

  startingvalue = 24 //5, 100, 10 boxsize increment = 3 //5, 20, 10 maxincrement = 3 //5, 10 limit of no of increments either up or down reps = 3 //1 number of trades to use for analysis //2 maxvalue = 35 //20, 300, 150 //maximum allowed value minvalue = 20 //5, minimum allowed value startingvalue2 = 21 //5, 100, 50 stop loss increment2 = 3 //5, 10 maxincrement2 = 3 //1, 30 limit of no of increments either up/down //4 reps2 = 3 //1, 2 nos of trades to use for analysis //3 maxvalue2 = 35 //20, 300, 200 maximum allowed value minvalue2 = 20 //5, minimum allowed value heuristicscyclelimit = 2 once heuristicscycle = 0 once heuristicsalgo1 = 1 once heuristicsalgo2 = 0 if heuristicscycle >= heuristicscyclelimit then if heuristicsalgo1 = 1 then heuristicsalgo2 = 1 heuristicsalgo1 = 0 elsif heuristicsalgo2 = 1 then heuristicsalgo1 = 1 heuristicsalgo2 = 0 endif heuristicscycle = 0 else once valuex = startingvalue once valuey = startingvalue2 endif if heuristicsalgo1 = 1 then //heuristics algorithm 1 start if (onmarket[1] = 1 and onmarket = 0) or (longonmarket[1] = 1 and longonmarket and countoflongshares < countoflongshares[1]) or (longonmarket[1] = 1 and longonmarket and countoflongshares > countoflongshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares < countofshortshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares > countofshortshares[1]) or (longonmarket[1] and shortonmarket) or (shortonmarket[1] and longonmarket) then optimise = optimise + 1 endif once valuex = startingvalue once pincpos = 1 //positive increment position once nincpos = 1 //negative increment position once optimise = 0 //initialize heuristicks engine counter (must be incremented at position start or exit) once mode1 = 1 //switches between negative and positive increments //once wincountb = 3 //initialize best win count //graph wincountb coloured (0,0,0) as "wincountb" //once stratavgb = 4353 //initialize best avg strategy profit //graph stratavgb coloured (0,0,0) as "stratavgb" if optimise = reps then wincounta = 0 //initialize current win count stratavga = 0 //initialize current avg strategy profit heuristicscycle = heuristicscycle + 1 for i = 1 to reps do if positionperf(i) > 0 then wincounta = wincounta + 1 //increment current wincount endif stratavga = stratavga + (((positionperf(i)*countofposition[i]*close)*-1)*-1) next stratavga = stratavga/reps //calculate current avg strategy profit //graph (positionperf(1)*countofposition[1]*100000)*-1 as "posperf1" //graph (positionperf(2)*countofposition[2]*100000)*-1 as "posperf2" //graph stratavga*-1 as "stratavga" //once besta = 300 //graph besta coloured (0,0,0) as "besta" if stratavga >= stratavgb then stratavgb = stratavga //update best strategy profit besta = valuex endif //once bestb = 300 //graph bestb coloured (0,0,0) as "bestb" if wincounta >= wincountb then wincountb = wincounta //update best win count bestb = valuex endif if wincounta > wincountb and stratavga > stratavgb then mode1 = 0 elsif wincounta < wincountb and stratavga < stratavgb and mode1 = 1 then valuex = valuex - (increment*nincpos) nincpos = nincpos + 1 mode1 = 2 elsif wincounta >= wincountb or stratavga >= stratavgb and mode1 = 1 then valuex = valuex + (increment*pincpos) pincpos = pincpos + 1 mode1 = 1 elsif wincounta < wincountb and stratavga < stratavgb and mode1 = 2 then valuex = valuex + (increment*pincpos) pincpos = pincpos + 1 mode1 = 1 elsif wincounta >= wincountb or stratavga >= stratavgb and mode1 = 2 then valuex = valuex - (increment*nincpos) nincpos = nincpos + 1 mode1 = 2 endif if nincpos > maxincrement or pincpos > maxincrement then if besta = bestb then valuex = besta else if reps >= 10 then weightedscore = 10 else weightedscore = round((reps/100)*100) endif valuex = round(((besta*(20-weightedscore)) + (bestb*weightedscore))/20) //lower reps = less weight assigned to win% endif nincpos = 1 pincpos = 1 elsif valuex > maxvalue then valuex = maxvalue elsif valuex < minvalue then valuex = minvalue endif optimise = 0 endif // heuristics algorithm 1 end elsif heuristicsalgo2 = 1 then // heuristics algorithm 2 start if (onmarket[1] = 1 and onmarket = 0) or (longonmarket[1] = 1 and longonmarket and countoflongshares < countoflongshares[1]) or (longonmarket[1] = 1 and longonmarket and countoflongshares > countoflongshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares < countofshortshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares > countofshortshares[1]) or (longonmarket[1] and shortonmarket) or (shortonmarket[1] and longonmarket) then optimise2 = optimise2 + 1 endif once valuey = startingvalue2 once pincpos2 = 1 //positive increment position once nincpos2 = 1 //negative increment position once optimise2 = 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 optimise2 = reps2 then wincounta2 = 0 //initialize current win count stratavga2 = 0 //initialize current avg strategy profit heuristicscycle = heuristicscycle + 1 for i2 = 1 to reps2 do if positionperf(i2) > 0 then wincounta2 = wincounta2 + 1 //increment current wincount endif stratavga2 = stratavga2 + (((positionperf(i2)*countofposition[i2]*close)*-1)*-1) next stratavga2 = 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 then stratavgb2 = stratavga2 //update best strategy profit besta2 = valuey endif //once bestb2 = 300 //graph bestb2 coloured (0,0,0) as "bestb2" if wincounta2 >= wincountb2 then wincountb2 = wincounta2 //update best win count bestb2 = valuey endif if wincounta2 > wincountb2 and stratavga2 > stratavgb2 then mode2 = 0 elsif wincounta2 < wincountb2 and stratavga2 < stratavgb2 and mode2 = 1 then valuey = valuey - (increment2*nincpos2) nincpos2 = nincpos2 + 1 mode2 = 2 elsif wincounta2 >= wincountb2 or stratavga2 >= stratavgb2 and mode2 = 1 then valuey = valuey + (increment2*pincpos2) pincpos2 = pincpos2 + 1 mode2 = 1 elsif wincounta2 < wincountb2 and stratavga2 < stratavgb2 and mode2 = 2 then valuey = valuey + (increment2*pincpos2) pincpos2 = pincpos2 + 1 mode2 = 1 elsif wincounta2 >= wincountb2 or stratavga2 >= stratavgb2 and mode2 = 2 then valuey = valuey - (increment2*nincpos2) nincpos2 = nincpos2 + 1 mode2 = 2 endif if nincpos2 > maxincrement2 or pincpos2 > maxincrement2 then if besta2 = bestb2 then valuey = besta2 else if reps2 >= 10 then weightedscore2 = 10 else weightedscore2 = round((reps2/100)*100) endif valuey = round(((besta2*(20-weightedscore2)) + (bestb2*weightedscore2))/20) //lower reps = less weight assigned to win% endif nincpos2 = 1 pincpos2 = 1 elsif valuey > maxvalue2 then valuey = maxvalue2 elsif valuey < minvalue2 then valuey = minvalue2 endif optimise2 = 0 endif // heuristics algorithm 2 end endif // angle1 = valuex angle2 = valuey

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217

  startingvalue   = 24 //5, 100, 10 boxsize increment       = 3 //5, 20, 10 maxincrement    = 3 //5, 10 limit of no of increments either up or down reps            = 3  //1 number of trades to use for analysis //2 maxvalue        = 35 //20, 300, 150 //maximum allowed value minvalue        = 20 //5, minimum allowed value   startingvalue2  = 21 //5, 100, 50 stop loss increment2      = 3 //5, 10 maxincrement2   = 3 //1, 30 limit of no of increments either up/down //4 reps2           = 3  //1, 2 nos of trades to use for analysis //3 maxvalue2       = 35 //20, 300, 200 maximum allowed value minvalue2       = 20 //5, minimum allowed value   heuristicscyclelimit = 2   once heuristicscycle = 0 once heuristicsalgo1 = 1 once heuristicsalgo2 = 0   if heuristicscycle >= heuristicscyclelimit then if heuristicsalgo1 = 1 then heuristicsalgo2 = 1 heuristicsalgo1 = 0 elsif heuristicsalgo2 = 1 then heuristicsalgo1 = 1 heuristicsalgo2 = 0 endif heuristicscycle = 0 else once valuex = startingvalue once valuey = startingvalue2 endif   if heuristicsalgo1 = 1 then   //heuristics algorithm 1 start if (onmarket[1] = 1 and onmarket = 0) or (longonmarket[1] = 1 and longonmarket and countoflongshares < countoflongshares[1]) or (longonmarket[1] = 1 and longonmarket and countoflongshares > countoflongshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares < countofshortshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares > countofshortshares[1]) or (longonmarket[1] and shortonmarket) or (shortonmarket[1] and longonmarket) then optimise = optimise + 1 endif   once valuex  = startingvalue once pincpos = 1 //positive increment position once nincpos = 1 //negative increment position once optimise = 0 //initialize heuristicks engine counter (must be incremented at position start or exit) once mode1 = 1 //switches between negative and positive increments //once wincountb = 3 //initialize best win count //graph wincountb coloured (0,0,0) as "wincountb" //once stratavgb = 4353 //initialize best avg strategy profit //graph stratavgb coloured (0,0,0) as "stratavgb" if optimise = reps then wincounta = 0 //initialize current win count stratavga = 0 //initialize current avg strategy profit heuristicscycle = heuristicscycle + 1 for i = 1 to reps do if positionperf(i) > 0 then wincounta = wincounta + 1 //increment current wincount endif stratavga = stratavga + (((positionperf(i)*countofposition[i]*close)*-1)*-1) next stratavga = stratavga/reps //calculate current avg strategy profit //graph (positionperf(1)*countofposition[1]*100000)*-1 as "posperf1" //graph (positionperf(2)*countofposition[2]*100000)*-1 as "posperf2" //graph stratavga*-1 as "stratavga" //once besta = 300 //graph besta coloured (0,0,0) as "besta" if stratavga >= stratavgb then stratavgb = stratavga //update best strategy profit besta = valuex endif //once bestb = 300 //graph bestb coloured (0,0,0) as "bestb" if wincounta >= wincountb then wincountb = wincounta //update best win count bestb = valuex endif if wincounta > wincountb and stratavga > stratavgb then mode1 = 0 elsif wincounta < wincountb and stratavga < stratavgb and mode1 = 1 then valuex = valuex - (increment*nincpos) nincpos = nincpos + 1 mode1 = 2 elsif wincounta >= wincountb or stratavga >= stratavgb and mode1 = 1 then valuex = valuex + (increment*pincpos) pincpos = pincpos + 1 mode1 = 1 elsif wincounta < wincountb and stratavga < stratavgb and mode1 = 2 then valuex = valuex + (increment*pincpos) pincpos = pincpos + 1 mode1 = 1 elsif wincounta >= wincountb or stratavga >= stratavgb and mode1 = 2 then valuex = valuex - (increment*nincpos) nincpos = nincpos + 1 mode1 = 2 endif if nincpos > maxincrement or pincpos > maxincrement then if besta = bestb then valuex = besta else if reps >= 10 then weightedscore = 10 else weightedscore = round((reps/100)*100) endif valuex = round(((besta*(20-weightedscore)) + (bestb*weightedscore))/20) //lower reps = less weight assigned to win% endif nincpos = 1 pincpos = 1 elsif valuex > maxvalue then valuex = maxvalue elsif valuex < minvalue then valuex = minvalue endif optimise = 0 endif // heuristics algorithm 1 end   elsif heuristicsalgo2 = 1 then   // heuristics algorithm 2 start if (onmarket[1] = 1 and onmarket = 0) or (longonmarket[1] = 1 and longonmarket and countoflongshares < countoflongshares[1]) or (longonmarket[1] = 1 and longonmarket and countoflongshares > countoflongshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares < countofshortshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares > countofshortshares[1]) or (longonmarket[1] and shortonmarket) or (shortonmarket[1] and longonmarket) then optimise2 = optimise2 + 1 endif once valuey = startingvalue2 once pincpos2 = 1 //positive increment position once nincpos2 = 1 //negative increment position once optimise2 = 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 optimise2 = reps2 then wincounta2 = 0 //initialize current win count stratavga2 = 0 //initialize current avg strategy profit heuristicscycle = heuristicscycle + 1 for i2 = 1 to reps2 do if positionperf(i2) > 0 then wincounta2 = wincounta2 + 1 //increment current wincount endif stratavga2 = stratavga2 + (((positionperf(i2)*countofposition[i2]*close)*-1)*-1) next stratavga2 = 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 then stratavgb2 = stratavga2 //update best strategy profit besta2 = valuey endif //once bestb2 = 300 //graph bestb2 coloured (0,0,0) as "bestb2" if wincounta2 >= wincountb2 then wincountb2 = wincounta2 //update best win count bestb2 = valuey endif if wincounta2 > wincountb2 and stratavga2 > stratavgb2 then mode2 = 0 elsif wincounta2 < wincountb2 and stratavga2 < stratavgb2 and mode2 = 1 then valuey = valuey - (increment2*nincpos2) nincpos2 = nincpos2 + 1 mode2 = 2 elsif wincounta2 >= wincountb2 or stratavga2 >= stratavgb2 and mode2 = 1 then valuey = valuey + (increment2*pincpos2) pincpos2 = pincpos2 + 1 mode2 = 1 elsif wincounta2 < wincountb2 and stratavga2 < stratavgb2 and mode2 = 2 then valuey = valuey + (increment2*pincpos2) pincpos2 = pincpos2 + 1 mode2 = 1 elsif wincounta2 >= wincountb2 or stratavga2 >= stratavgb2 and mode2 = 2 then valuey = valuey - (increment2*nincpos2) nincpos2 = nincpos2 + 1 mode2 = 2 endif if nincpos2 > maxincrement2 or pincpos2 > maxincrement2 then if besta2 = bestb2 then valuey = besta2 else if reps2 >= 10 then weightedscore2 = 10 else weightedscore2 = round((reps2/100)*100) endif valuey = round(((besta2*(20-weightedscore2)) + (bestb2*weightedscore2))/20) //lower reps = less weight assigned to win% endif nincpos2 = 1 pincpos2 = 1 elsif valuey > maxvalue2 then valuey = maxvalue2 elsif valuey < minvalue2 then valuey = minvalue2 endif optimise2 = 0 endif // heuristics algorithm 2 end endif   // angle1 = valuex angle2 = valuey

   

   

  1 user thanked author for this post.

  nonetheless

  

  Paul

  Participant

  Topics: 40

  Replies: 812

  Been thanked: 660 times
  04/28/2020 at 6:36 PM #128714
  GraHal

  Paul wrote:

  It ignores results going long->short and visa versa.

  You can get the ML to include long direct to short and vice versa … but you know that?

  Juanj provided some extra code to allow for above  … its over on the ML Topic.

  I will find it if you need it Nonetheless?

  

  GraHal

  Participant

  Topics: 214

  Replies: 8834

  Been thanked: 2203 times
  04/28/2020 at 6:48 PM #128715
  nonetheless

  Thanks @GraHal, I’ve got it now. So hard to keep up with all the mods and variations!

  Unfortunately even with that change it only just gets up to speed with the non-ML version … but no improvement. 🤔

  

  nonetheless

  Participant

  Topics: 83

  Replies: 1237

  Been thanked: 978 times
  05/02/2020 at 4:28 PM #129445
  Fran55

  Nothing

   

  

  Fran55

  Participant

  Topics: 34

  Replies: 210

  Been thanked: 7 times
  05/21/2020 at 6:42 AM #132509
  NA

  Paul, I just tried your new code which seems to pass with a nice linearity the hectic period 2020. However when I copy your code in PRT, I have an error message on the following variables which would not be used .. ?? please correct if you could, I’m just a beginner in coding. Thank you Paul

  NA

  angle1 = valuex
  angle2 = valuey

  

  NA

  Participant

  Topics: 0

  Replies: 14

  Been thanked: 0 times
  05/21/2020 at 11:15 AM #132560
  NA

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217

  Hello, jr see that you propose to add a piece of code from Juan in this code proposed by Paul. If you were kind enough to add to Paul’s code. Thank you N  A startingvalue   = 24 //5, 100, 10 boxsize increment       = 3 //5, 20, 10 maxincrement    = 3 //5, 10 limit of no of increments either up or down reps            = 3  //1 number of trades to use for analysis //2 maxvalue        = 35 //20, 300, 150 //maximum allowed value minvalue        = 20 //5, minimum allowed value startingvalue2  = 21 //5, 100, 50 stop loss increment2      = 3 //5, 10 maxincrement2   = 3 //1, 30 limit of no of increments either up/down //4 reps2           = 3  //1, 2 nos of trades to use for analysis //3 maxvalue2       = 35 //20, 300, 200 maximum allowed value minvalue2       = 20 //5, minimum allowed value heuristicscyclelimit = 2 once heuristicscycle = 0 once heuristicsalgo1 = 1 once heuristicsalgo2 = 0 if heuristicscycle >= heuristicscyclelimit then if heuristicsalgo1 = 1 then heuristicsalgo2 = 1 heuristicsalgo1 = 0 elsif heuristicsalgo2 = 1 then heuristicsalgo1 = 1 heuristicsalgo2 = 0 endif heuristicscycle = 0 else once valuex = startingvalue once valuey = startingvalue2 endif if heuristicsalgo1 = 1 then //heuristics algorithm 1 start if (onmarket[1] = 1 and onmarket = 0) or (longonmarket[1] = 1 and longonmarket and countoflongshares < countoflongshares[1]) or (longonmarket[1] = 1 and longonmarket and countoflongshares > countoflongshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares < countofshortshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares > countofshortshares[1]) or (longonmarket[1] and shortonmarket) or (shortonmarket[1] and longonmarket) then optimise = optimise + 1 endif once valuex  = startingvalue once pincpos = 1 //positive increment position once nincpos = 1 //negative increment position once optimise = 0 //initialize heuristicks engine counter (must be incremented at position start or exit) once mode1 = 1 //switches between negative and positive increments //once wincountb = 3 //initialize best win count //graph wincountb coloured (0,0,0) as “wincountb” //once stratavgb = 4353 //initialize best avg strategy profit //graph stratavgb coloured (0,0,0) as “stratavgb” if optimise = reps then wincounta = 0 //initialize current win count stratavga = 0 //initialize current avg strategy profit heuristicscycle = heuristicscycle + 1 for i = 1 to reps do if positionperf(i) > 0 then wincounta = wincounta + 1 //increment current wincount endif stratavga = stratavga + (((positionperf(i)*countofposition[i]*close)*–1)*–1) next stratavga = stratavga/reps //calculate current avg strategy profit //graph (positionperf(1)*countofposition[1]*100000)*-1 as “posperf1” //graph (positionperf(2)*countofposition[2]*100000)*-1 as “posperf2” //graph stratavga*-1 as “stratavga” //once besta = 300 //graph besta coloured (0,0,0) as “besta” if stratavga >= stratavgb then stratavgb = stratavga //update best strategy profit besta = valuex endif //once bestb = 300 //graph bestb coloured (0,0,0) as “bestb” if wincounta >= wincountb then wincountb = wincounta //update best win count bestb = valuex endif if wincounta > wincountb and stratavga > stratavgb then mode1 = 0 elsif wincounta < wincountb and stratavga < stratavgb and mode1 = 1 then valuex = valuex – (increment*nincpos) nincpos = nincpos + 1 mode1 = 2 elsif wincounta >= wincountb or stratavga >= stratavgb and mode1 = 1 then valuex = valuex + (increment*pincpos) pincpos = pincpos + 1 mode1 = 1 elsif wincounta < wincountb and stratavga < stratavgb and mode1 = 2 then valuex = valuex + (increment*pincpos) pincpos = pincpos + 1 mode1 = 1 elsif wincounta >= wincountb or stratavga >= stratavgb and mode1 = 2 then valuex = valuex – (increment*nincpos) nincpos = nincpos + 1 mode1 = 2 endif if nincpos > maxincrement or pincpos > maxincrement then if besta = bestb then valuex = besta else if reps >= 10 then weightedscore = 10 else weightedscore = round((reps/100)*100) endif valuex = round(((besta*(20–weightedscore)) + (bestb*weightedscore))/20) //lower reps = less weight assigned to win% endif nincpos = 1 pincpos = 1 elsif valuex > maxvalue then valuex = maxvalue elsif valuex < minvalue then valuex = minvalue endif optimise = 0 endif // heuristics algorithm 1 end elsif heuristicsalgo2 = 1 then // heuristics algorithm 2 start if (onmarket[1] = 1 and onmarket = 0) or (longonmarket[1] = 1 and longonmarket and countoflongshares < countoflongshares[1]) or (longonmarket[1] = 1 and longonmarket and countoflongshares > countoflongshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares < countofshortshares[1]) or (shortonmarket[1] = 1 and shortonmarket and countofshortshares > countofshortshares[1]) or (longonmarket[1] and shortonmarket) or (shortonmarket[1] and longonmarket) then optimise2 = optimise2 + 1 endif once valuey = startingvalue2 once pincpos2 = 1 //positive increment position once nincpos2 = 1 //negative increment position once optimise2 = 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 optimise2 = reps2 then wincounta2 = 0 //initialize current win count stratavga2 = 0 //initialize current avg strategy profit heuristicscycle = heuristicscycle + 1 for i2 = 1 to reps2 do if positionperf(i2) > 0 then wincounta2 = wincounta2 + 1 //increment current wincount endif stratavga2 = stratavga2 + (((positionperf(i2)*countofposition[i2]*close)*–1)*–1) next stratavga2 = 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 then stratavgb2 = stratavga2 //update best strategy profit besta2 = valuey endif //once bestb2 = 300 //graph bestb2 coloured (0,0,0) as “bestb2” if wincounta2 >= wincountb2 then wincountb2 = wincounta2 //update best win count bestb2 = valuey endif if wincounta2 > wincountb2 and stratavga2 > stratavgb2 then mode2 = 0 elsif wincounta2 < wincountb2 and stratavga2 < stratavgb2 and mode2 = 1 then valuey = valuey – (increment2*nincpos2) nincpos2 = nincpos2 + 1 mode2 = 2 elsif wincounta2 >= wincountb2 or stratavga2 >= stratavgb2 and mode2 = 1 then valuey = valuey + (increment2*pincpos2) pincpos2 = pincpos2 + 1 mode2 = 1 elsif wincounta2 < wincountb2 and stratavga2 < stratavgb2 and mode2 = 2 then valuey = valuey + (increment2*pincpos2) pincpos2 = pincpos2 + 1 mode2 = 1 elsif wincounta2 >= wincountb2 or stratavga2 >= stratavgb2 and mode2 = 2 then valuey = valuey – (increment2*nincpos2) nincpos2 = nincpos2 + 1 mode2 = 2 endif if nincpos2 > maxincrement2 or pincpos2 > maxincrement2 then if besta2 = bestb2 then valuey = besta2 else if reps2 >= 10 then weightedscore2 = 10 else weightedscore2 = round((reps2/100)*100) endif valuey = round(((besta2*(20–weightedscore2)) + (bestb2*weightedscore2))/20) //lower reps = less weight assigned to win% endif nincpos2 = 1 pincpos2 = 1 elsif valuey > maxvalue2 then valuey = maxvalue2 elsif valuey < minvalue2 then valuey = minvalue2 endif optimise2 = 0 endif // heuristics algorithm 2 end endif // angle1 = valuex angle2 = valuey

   

  

  NA

  Participant

  Topics: 0

  Replies: 14

  Been thanked: 0 times
  05/21/2020 at 2:02 PM #132588
  NA

  paul please can you give us this last strategie vectoriel dax 5 mn abale to learn the last market évolution and correct it ???

  thanks so much !!!

  NA

  

  NA

  Participant

  Topics: 0

  Replies: 14

  Been thanked: 0 times
  05/21/2020 at 2:05 PM #132596
  NA

  hello

  do you have the file .itf of this last vectorial dax strategy ?

  please

  thanks

  NA

  

  NA

  Participant

  Topics: 0

  Replies: 14

  Been thanked: 0 times
  05/21/2020 at 2:15 PM #132598
  Paul

  Hi avrain

  My latest version is in the original topic. But I don’t use ML for it.

   

  1 user thanked author for this post.

  

  Paul

  Participant

  Topics: 40

  Replies: 812

  Been thanked: 660 times
• Author
  Posts