There's another aspect of setting changes.
When looking for the optimal setting, you should look at the degree of BMA for each wave.
The degree of BMA for each wave is at the top of the table, listed as BMA Degree X; where X is the associated wave for that BMA calculation.
For Wave 1 it will be BMA Degree 1 and will have a value just below it.
In our original posted set for this Pick 3, Column B example, posted below, the value of the BMA Degree for Wave 1 is, -1.019.
|
Type = |
Linear |
BMA Degree 1 |
BMA Degree 2 |
BMA Degree 3 |
BMA Degree 4 |
BMA Degree 5 |
BMA Degree 6 |
BMA Degree 7 |
BMA Degree 8 |
Algorithm |
Predictor |
|
A = |
4.42422875 |
-1.019 |
-1.171 |
-1.108 |
-1.028 |
-1.024 |
-1.003 |
-0.981 |
-0.975 |
Wave / BMA = 0.50 |
Depth = 25 |
|
B = |
2.41131E-05 |
|
|
|
|
|
|
|
|
Amp / Freq = 0.50 |
Level = 25 |
|
Index |
Regression |
Wave 1 |
Wave 2 |
Wave 3 |
Wave 4 |
Wave 5 |
Wave 6 |
Wave 7 |
Wave 8 |
Remainder |
Data |
|
1 |
4.424252863 |
0.02065733 |
0.011125731 |
0.032315571 |
0.04100567 |
0.02118177 |
0.02126645 |
0.020582701 |
0.015140556 |
-1.607528642 |
3 |
|
2 |
4.424276976 |
0.015326489 |
0.009841715 |
0.030671635 |
0.038794694 |
0.019428526 |
0.019595307 |
0.018972558 |
0.013764332 |
4.409327768 |
9 |
|
3 |
4.424301089 |
0.008624798 |
0.008265779 |
0.02863233 |
0.036010233 |
0.017210792 |
0.01746498 |
0.016901908 |
0.011980038 |
4.430608052 |
9 |
|
4 |
4.424325202 |
0.000633215 |
0.006421243 |
0.026227577 |
0.032688998 |
0.014553921 |
0.014893482 |
0.014380464 |
0.00978721 |
-3.543911312 |
1 |
|
5 |
4.424349315 |
-0.00851875 |
0.004346501 |
0.023510441 |
0.028906419 |
0.011521306 |
0.011941196 |
0.011465385 |
0.007233309 |
0.485244878 |
5 |
|
6 |
4.424373428 |
-0.018677894 |
0.002086992 |
0.020544528 |
0.024754519 |
0.008191895 |
0.008685038 |
0.008231492 |
0.00438295 |
4.517427051 |
9 |
|
7 |
4.424397541 |
-0.029656011 |
-0.000300522 |
0.017410707 |
0.02035374 |
0.004672856 |
0.005233454 |
0.004788949 |
0.001336807 |
-2.448237522 |
2 |
|
8 |
4.424421655 |
-0.041223838 |
-0.002745517 |
0.014210988 |
0.015859913 |
0.001107258 |
0.001735691 |
0.001294427 |
-0.001756254 |
0.587095677 |
5 |
|
9 |
4.424445768 |
-0.053150124 |
-0.005176767 |
0.011048122 |
0.011428973 |
-0.002361907 |
-0.001659398 |
-0.002096211 |
-0.004748112 |
-4.377730343 |
0 |
|
10 |
4.424469881 |
-0.0651958 |
-0.007519886 |
0.008029397 |
0.007223733 |
-0.005584253 |
-0.004794305 |
-0.005217009 |
-0.007479537 |
-1.34393222 |
3 |
|
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
|
4801 |
4.539995904 |
-0.335539221 |
-0.041293204 |
0.006901579 |
0.016443406 |
0.009127483 |
0.007765404 |
0.005503697 |
0.002536573 |
-4.211441622 |
0 |
|
4802 |
4.540020017 |
-0.365412601 |
-0.055593693 |
-0.005581289 |
0.00489903 |
-7.59133E-05 |
0.000399222 |
-0.000201105 |
-0.001700996 |
4.883247328 |
9 |
|
4803 |
4.54004413 |
-0.394572134 |
-0.069757722 |
-0.018026053 |
-0.006603165 |
-0.009224227 |
-0.0069 |
-0.005828873 |
-0.005855687 |
0.976723731 |
5 |
|
4804 |
4.540068244 |
-0.422562589 |
-0.083521407 |
-0.030194435 |
-0.017877337 |
-0.018194895 |
-0.014071937 |
-0.011380675 |
-0.009973093 |
3.067708123 |
7 |
|
4805 |
4.540092357 |
-0.448910101 |
-0.096618509 |
-0.041839092 |
-0.028713025 |
-0.026837954 |
-0.021021214 |
-0.016813492 |
-0.014050849 |
-1.84528812 |
2 |
|
4806 |
4.54011647 |
-0.473112211 |
-0.108778884 |
-0.052697661 |
-0.038860447 |
-0.034959251 |
-0.027596444 |
-0.022014738 |
-0.018011163 |
1.235914329 |
5 |
|
4807 |
4.540140583 |
-0.494671237 |
-0.119741586 |
-0.062510027 |
-0.048056638 |
-0.042345969 |
-0.03361833 |
-0.026833742 |
-0.021732907 |
2.309369853 |
6 |
|
4808 |
4.540164696 |
-0.513103612 |
-0.129259266 |
-0.071022468 |
-0.05602945 |
-0.048769409 |
-0.038881656 |
-0.031083125 |
-0.025052369 |
-2.62696334 |
1 |
Quantum |
4809 |
4.540188809 |
-0.527961819 |
-0.137106594 |
-0.077998524 |
-0.062513841 |
-0.054000634 |
-0.043172343 |
-0.034557795 |
-0.027782494 |
-0.575094764 |
3 |
Projection -> |
4810 |
4.540212922 |
-0.534467762 |
-0.140597023 |
-0.081084833 |
-0.06536278 |
-0.056299313 |
-0.04505597 |
-0.036082676 |
-0.028982339 |
3.912954379 |
7.465234605 |
When looking for optimal settings, the first wave BMA Degree value should be near equal and negative of the last last wave BMA Degree value.
The following are a setting change of Linear, Waves 8, BMA Iterations 8, by Amplitude Only, and Wave to BMA RMS Ratio 0.12.
Everything else set to default.
|
Type = |
Linear |
BMA Degree 1 |
BMA Degree 2 |
BMA Degree 3 |
BMA Degree 4 |
BMA Degree 5 |
BMA Degree 6 |
BMA Degree 7 |
BMA Degree 8 |
Algorithm |
Predictor |
|
A = |
4.42422875 |
-1.458 |
-0.453 |
0.181 |
0.621 |
0.961 |
1.211 |
1.381 |
1.511 |
Wave / BMA = 0.13 |
Depth = 25 |
|
B = |
2.41131E-05 |
|
|
|
|
|
|
|
|
Amp / Freq = 0.50 |
Level = 25 |
|
Index |
Regression |
Wave 1 |
Wave 2 |
Wave 3 |
Wave 4 |
Wave 5 |
Wave 6 |
Wave 7 |
Wave 8 |
Remainder |
Data |
|
1 |
4.424252863 |
-0.135743076 |
0.449429584 |
0.424611498 |
0.20818194 |
-0.029846134 |
-0.208619291 |
-0.287287216 |
-0.301235238 |
-1.54374493 |
3 |
|
2 |
4.424276976 |
-0.136927448 |
0.43422151 |
0.432642908 |
0.340253405 |
0.314183631 |
0.341017465 |
0.379631105 |
0.412665238 |
2.058035209 |
9 |
|
3 |
4.424301089 |
-0.138331923 |
0.41198508 |
0.408587755 |
0.359035635 |
0.362870368 |
0.360431535 |
0.339542792 |
0.327010975 |
2.144566695 |
9 |
|
4 |
4.424325202 |
-0.139951449 |
0.382542552 |
0.343594002 |
0.244738711 |
0.122247053 |
-0.08469872 |
-0.297940458 |
-0.444591502 |
-3.550265391 |
1 |
|
5 |
4.424349315 |
-0.141778956 |
0.347006492 |
0.260200969 |
0.154373401 |
0.124320811 |
0.079404057 |
-0.001777338 |
-0.068785546 |
-0.177313206 |
5 |
|
6 |
4.424373428 |
-0.143806272 |
0.30652416 |
0.160922567 |
0.033709392 |
0.115205008 |
0.298323806 |
0.409587423 |
0.440909693 |
2.954250795 |
9 |
|
7 |
4.424397541 |
-0.146023497 |
0.262750451 |
0.052576491 |
-0.176724551 |
-0.212982026 |
-0.088266559 |
0.011260711 |
0.020774217 |
-2.147762778 |
2 |
|
8 |
4.424421655 |
-0.148418567 |
0.218193767 |
-0.028680112 |
-0.31964607 |
-0.464772043 |
-0.362174525 |
-0.165792459 |
-0.012274143 |
1.859142497 |
5 |
|
9 |
4.424445768 |
-0.150978741 |
0.174645772 |
-0.065431347 |
-0.334128726 |
-0.59640251 |
-0.664461295 |
-0.56186424 |
-0.429964309 |
-1.795860373 |
0 |
|
10 |
4.424469881 |
-0.153690076 |
0.133466501 |
-0.048432816 |
-0.123634975 |
-0.282650746 |
-0.384569102 |
-0.352659876 |
-0.264541921 |
0.05224313 |
3 |
|
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
|
4801 |
4.539995904 |
-0.365694212 |
0.029816088 |
0.033756055 |
0.15520685 |
0.109639229 |
-0.115382493 |
-0.327786867 |
-0.456483145 |
-3.603067409 |
0 |
|
4802 |
4.540020017 |
-0.379724087 |
0.004086135 |
0.166276012 |
0.416890832 |
0.4297053 |
0.304384946 |
0.225894078 |
0.223983899 |
3.068482868 |
9 |
|
4803 |
4.54004413 |
-0.393271388 |
-0.024779456 |
0.23871237 |
0.52656346 |
0.491851422 |
0.312099023 |
0.187975071 |
0.13165344 |
-1.010848073 |
5 |
|
4804 |
4.540068244 |
-0.406180363 |
-0.05827778 |
0.241241027 |
0.496694449 |
0.404485657 |
0.206893849 |
0.099484326 |
0.075120869 |
1.400469722 |
7 |
|
4805 |
4.540092357 |
-0.418297713 |
-0.096364393 |
0.177269639 |
0.346029717 |
0.181648046 |
-0.06239714 |
-0.210603763 |
-0.275078926 |
-2.182297826 |
2 |
|
4806 |
4.54011647 |
-0.429474642 |
-0.137020077 |
0.073366485 |
0.185070525 |
0.113524528 |
0.048948655 |
0.036076524 |
0.044857559 |
0.524533974 |
5 |
|
4807 |
4.540140583 |
-0.439570613 |
-0.177409151 |
-0.054720746 |
-0.011417764 |
0.000674904 |
0.084943268 |
0.168245395 |
0.215159772 |
1.673954353 |
6 |
|
4808 |
4.540164696 |
-0.448455771 |
-0.213866181 |
-0.183977719 |
-0.236423325 |
-0.248063281 |
-0.178538669 |
-0.134233045 |
-0.137306324 |
-1.759300381 |
1 |
Quantum |
4809 |
4.540188809 |
-0.456013642 |
-0.242321899 |
-0.27834673 |
-0.375673324 |
-0.347753749 |
-0.198513583 |
-0.082935359 |
-0.027417186 |
0.468786663 |
3 |
Projection -> |
4810 |
4.540212922 |
-0.459455035 |
-0.254153016 |
-0.313626432 |
-0.416070485 |
-0.346491711 |
-0.129454348 |
0.047799738 |
0.152172238 |
-1.044754848 |
1.776179023 |