therumpledone

7/30/2005 7:18:59 PM


Fetcher[
/* MP RSIWLR Filter */

/* YOUR SELECTION CRITERIA GOES BELOW THIS LINE */

SORT COLUMN 9 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */

add column accumulation distribution
add column RSI(2)
add column Williams %R(10)
add column momentum(12)
draw accumulation distribution
draw rsi(2)
draw Williams %R(10)
draw momentum(12)

/* SELECTION CRITERIA GOES BELOW THIS LINE */
set{rsix, count(rsi(2)crossed above 20, 1)}
set{wrx, count(Williams %R(10) crossed above -70 , 1)}
set{momox, count(momentum(12) above momentum(12) 1 day ago, 1)}
set{accdx, count(accumulation distribution above accumulation distribution 1 day ago, 1)}

set{ADHi, accumulation distribution 60 day high}

set{ADLo, accumulation distribution 60 day low}


set{xc2, rsix + wrx}
set{xc1, xc2 + accdx}
set{RSIWLR, xc1 + momox}

add column RSIWLR

accumulation distribution 1 day ago equal accumulation distribution 5 day low

average volume(90) above 100000
and not OTCBB
]


Due to set statement limitations, I couldn't do the math I needed to compute A/D percentages.

To get around this, I used:

accumulation distribution 1 day ago equal accumulation distribution 5 day low

so we get stocks off an A/D bottom!

I removed the RSI(2) < 25 selection in favor of sorting descending on the RSIWLR variable which counts the number of hits on the rsi, a/d, momentum and williams %r criteria... THE MORE HITS THE BETTER!

For the record, Mike Parker came up with the RSIWLR display for Prophet.net.

Corsino, developed a stockfetcher filter for it and posted that filter on the stockfetcher yahoo group.

I have been working to make a stockfetcher filter that selects the stocks that the RSIWLR would pick and I believe I have done it. I will continue working to improve this filter.

MAY ALL YOUR FILLS BE COMPLETE.

therumpledone

MP:

I am driven to make a profit trading stocks.

A MASTER? You are way too funny, MP!

If I can add to what someone else started, then I do it. It is called progress.

If I can help, I help. Nothing wrong with that, is there?

Complications? I don't think so. If you don't understand, that's on you, not me. It's now the how that's important, it's the results. My displays show all the pieces you need to make a trading decision. Furthermore, they lend themselves to automation. A totally automated stock selecting and trading system is something that I have been working on for a while. AutoAvery is almost complete.

I have a computer science degree and have been programming for decades.

Stockfetcher filters are simple. It is just that you have to work within the confines of the programming language and sometimes that means extra steps to implement the tools that you need.

An example is the boolean logic code I created for StockFetcher that gave EVERYONE the power to have "OR" and "NOT" logic that is absent from the StockFetcher commands. Most people are using my implementation.

LOOK IN THE MIRROR MIKE PARKER.

I don't know why some people are having problems with the filters I post.

Just copy paste EVERYTHING into a new stockfetcher filter and it should work but you don't copy the "FETCHER[" in the beginning and the "]" at the end!! Perhaps THAT'S THE PROBLEM!

I make the filters I post clickable and all you have to do is click on the magnifying glass icon and the filter will run.

MAY ALL YOUR FILLS BE COMPLETE.

mp6140

ill put it to you as simply as i can avery ---- IM SICK AND TIRED OF YOURE INCREDIBLE NEED TO ALWAYS IMPROVE ON MY WORK AND THE WORK OF OTHERS WHO WOULD CARE TO ASSIST ME --- go and work on auto avery if your so engrossed with money --- im not !!!!

when i first wrote the directions for the RSIWLR analyzer i stated that you would NOT BE ABLE TO RESIST TRYING TO IMPROVE IT !!!! your motivations and actions are just that predictable !

first --- you dont improve, just complicate ! if i came out with a new way to brush ones teeth, you would have to show you know a better way --- of course, no one could duplicate it without that computer degree you seem so proud of but which is meaningless in the real world of trading. does the word INSECURITY ring a bell with you ?

second -- we trade in a very different manner --- you trade as a scalper -- throwing away the greatest profit remaining whenever a market maker coughs, because you dont know how to last out a shake ! and the only way you can do it is with a lot of trades and a lot of money and a pattern day traders account, while mine are designed to allow newbs to learn without losing which may be one trade for one or more days. they dont understand boolean logic and couldnt care less -- only results count avery, and yours just dont work for the people i care about !

and while your ego simply cannot accept this simple fact, people are having problems with your filters because while youre a "legend in your own mind", your filters dont know it -- they dont work[u] !!

enough avery --- talk all you want but leave others work alone, MOST especially when you have nothing of note to add !

mp6140

__________________
Within the great hall at Elfinore stands a wondrous coffer, precisely four cubits square and securely latched against the outside world. Inside that repository, shut away from impertinent eyes, abides many an intriquing trading secret garnered from around the world and over the ages !

As a child, i used to watch from the darkness as the secrets were debated and annotated by the elders. No one there held a single thought of my presence -- BUT I KNOW WHERE THEY HID THE KEY !!

therumpledone

7/31/2005 2:16:20 PM

I made an improvement or two...


Fetcher[
/* MP RSIWLR ANALYZER DISPLAY */

/* YOUR SELECTION CRITERIA GOES BELOW THIS LINE */

close is between 1 and 10
volume above 1000000

WARM above 0

SORT COLUMN 5 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */

set{rsix, count(rsi(2)crossed above 20, 1)}
set{wrx, count(Williams %R(10) crossed above -70 , 1)}
set{momox, count(momentum(12) above momentum(12) 1 day ago, 1)}
set{accdx, count(accumulation distribution above accumulation distribution 1 day ago, 1)}

set{xBB1, count(HIGH crossed above the upper bollinger band (20),1) - count(LOW crossed below the lower bollinger band (20),1)}

set{xBB2, count(close above the upper bollinger band (20),1) - count(close below the lower bollinger band (20),1)}

set{xBB, xBB1 + xBB2}

set{xLR1, count(HIGH crossed above the top linear regression line(60),1) - count(LOW crossed below the bottom linear regression line(60),1)}

set{xLR2, count(close above the top linear regression line(60),1) - count(close below the bottom linear regression line(60),1)}

set{xLR, xLR1 + xLR2}


set{wBB1, count(HIGH crossed above the weekly upper bollinger band (20),1) - count(LOW crossed below the weekly lower bollinger band (20),1)}

set{wBB2, count(close above the weekly upper bollinger band (20),1) - count(close below the weekly lower bollinger band (20),1)}

set{wBB, wBB1 + wBB2}

set{wLR1, count(HIGH crossed above the weekly top linear regression line(60),1) - count(LOW crossed below the weekly bottom linear regression line(60),1)}

set{wLR2, count(close above the weekly top linear regression line(60),1) - count(close below the weekly bottom linear regression line(60),1)}

set{wLR, wLR1 + wLR2}

set{MoMob,days(Momentum(12) is above Momentum(12) 1 day ago,100)}
set{MoMoa,days(Momentum(12) is below Momentum(12) 1 day ago,100)}
set{M12xM12, MoMoa - MoMob}

set{ACDIb,days(accumulation distribution is above accumulation distribution 1 day ago,100)}
set{ACDIa,days(accumulation distribution is below accumulation distribution 1 day ago,100)}
set{ADxAD, ACDIa - ACDIb}

set{WPRb,days(Williams %R(10) is above Williams %R(10) 1 day ago,100)}
set{WPRa,days(Williams %R(10) is below Williams %R(10) 1 day ago,100)}
set{W10xW10, WPRa - WPRb}

set{rsib,days(rsi(2) is above rsi(2) 1 day ago,100)}
set{rsia,days(rsi(2) is below rsi(2) 1 day ago,100)}
set{R2xR2, rsia - rsib}

set{xc2, rsix + wrx}
set{xc1, xc2 + accdx}
set{RSIWLR, xc1 + momox}


Set{n1, momox * 1}
Set{n2, rsix * 10}
Set{n3, accdx * 100}
Set{n4, wrx * 1000}

Set{na, n1 + n2}
Set{nb, n3 + n4}
Set{WARM, na + nb}

set{rsi60D, count(rsi(2) equal rsi(2) 60 day low, 1)}
set{wr60D, count(Williams %R(10) equal Williams %R(10) 60 day low , 1)}
set{momo60D, count(momentum(12) equal momentum(12) 60 day low, 1)}
set{accd60D, count(accumulation distribution equal accumulation distribution 60 day low, 1)}

add column warm
add column w10xw10
add column ADxAD

add column r2xr2
add column M12xM12

add column wr60D
add column accd60D
add column rsi60D
add column momo60D

and add column xBB {BBx_}
and add column xLR {LRx_}
and add column wBB {wBBx}
and add column wLR {wLRx}


add column accumulation distribution
add column RSI(2)
add column Williams %R(10)
add column momentum(12)
and add column industry

draw accumulation distribution
draw rsi(2)
draw Williams %R(10)
draw momentum(12)

]


1) added the WARM column, so you know when a stock is getting warmer. Actually it's an acronym for Williams, Accumulation, RSI, Momentum.

WARM where:

W is williams %r(10), 1 = up, 0 = down

A is accumulation distribution, 1 = up, 0 = down

R is RSI(2), 1 = up, 0 = down

M is momentum(12), 1 = up, 0 = down

WARM
====
1111 means all four indicators going up

0 means all four indicators going up

10 means rsi(2) going up, and the others going down

101 means accumulation distribution and momentum(12) going up but williams %r(10) and rsi(2) going down.


2) I added the crossover counts for each indicator. The count is the number of consecutive days the indicator has been above (+) or below (-) zero.

3) I added the daily/weekly bollinger band and linear regression crossovers.

xBB/xWBB:
1 = High crossed above Upper Bollinger Band(20),
2 = close above Upper Bollinger Band(20),
0 = no cross,
-2 = close below lower Bollinger Band(20),
-1 = Low crossed below lower Bollinger Band(20) */

/* xLR/xWLR:
1 = High crossed above Top Linear Regression Line(60),
2 = close above Top Linear Regression Line(60),
0 = no cross,
-2 = close below Bottom Linear Regression Line(60),
-1 = Low crossed below Bottom Linear Regression Line(60) */


4) I added columns to indicate if the indicator is at a 60 day low:

column wr60D = 1 when Williams %R(10) is at a 60 day low, otherwise 0.
column accd60D = 1 when accumulation distributionis at a 60 day low, otherwise 0.
column rsi60D = 1 when rsi(2) is at a 60 day low, otherwise 0.
column momo60D = 1 when momentum(12)is at a 60 day low, otherwise 0.

You may want to tweak the 60 day low... maybe it should be different for each indicator.

Yes, I guess some people may think this is just "bells and whistles" but I know most of you will see the value of this display. People see WHAT THEY WANT TO SEE!

MAY ALL YOUR FILLS BE COMPLETE.

therumpledone

MY FILTERS WORK.

All you have to do is click on the magnifying glass icon to the left of the word fetcher and you will see that they all work.

Geez, MP, why are you fighting those who are working WITH you?

Yes, you didn't ask for my help. But so what?

What's the harm in someone creating a stockfetcher filter based on your display?

Some people scalp, others swingtrade, others invest. Is there a problem with that in your mind?

You think your system is better than mine. So what? They both make money.

You adapted from my work, RSI(2) and 10 day/60 minute charts came from my work. Of course, HolyGrail taught me RSI(2) and linear regression. I added to that base knowledge. I discovered how well rsi(2) worked on a 60 minute chart.

I adapted Momentum from your work.

I thought our "beef" was settled. Apparently, you want to continue the feud.

LOOK IN THE MIRROR, MIKE PARKER, LOOK IN THE MIRROR.

therumpledone

TheRumpledOne 7/31/2005 4:06:57 PM

Looks like I needed to multiply by .01 instead of .02... Thanks Cegis!



/* MP RSIWLR ANALYZER DISPLAY */

set{adrng, accumulation distribution 100 day high - accumulation distribution 100 day low}
set{adpct, adrng * .01}
set{adcon, accumulation distribution - accumulation distribution 100 day low}
set{adval, adcon / adpct }

set{morng, momentum(12) 100 day high - momentum(12) 100 day low}
set{mopct, morng * .01}
set{mocon, momentum(12) - momentum(12) 100 day low}
set{moval, mocon / mopct }

set{wrval, Williams %R(10) + 100}


set{rsix, count(rsi(2)crossed above 20, 1)}
set{wrx, count(Williams %R(10) crossed above -70 , 1)}
set{momox, count(momentum(12) above momentum(12) 1 day ago, 1)}
set{accdx, count(accumulation distribution above accumulation distribution 1 day ago, 1)}

set{xBB1, count(HIGH crossed above the upper bollinger band (20),1) - count(LOW crossed below the lower bollinger band (20),1)}

set{xBB2, count(close above the upper bollinger band (20),1) - count(close below the lower bollinger band (20),1)}

set{xBB, xBB1 + xBB2}

set{xLR1, count(HIGH crossed above the top linear regression line(60),1) - count(LOW crossed below the bottom linear regression line(60),1)}

set{xLR2, count(close above the top linear regression line(60),1) - count(close below the bottom linear regression line(60),1)}

set{xLR, xLR1 + xLR2}


set{wBB1, count(HIGH crossed above the weekly upper bollinger band (20),1) - count(LOW crossed below the weekly lower bollinger band (20),1)}

set{wBB2, count(close above the weekly upper bollinger band (20),1) - count(close below the weekly lower bollinger band (20),1)}

set{wBB, wBB1 + wBB2}

set{wLR1, count(HIGH crossed above the weekly top linear regression line(60),1) - count(LOW crossed below the weekly bottom linear regression line(60),1)}

set{wLR2, count(close above the weekly top linear regression line(60),1) - count(close below the weekly bottom linear regression line(60),1)}

set{wLR, wLR1 + wLR2}

set{MoMob,days(Momentum(12) is above Momentum(12) 1 day ago,100)}
set{MoMoa,days(Momentum(12) is below Momentum(12) 1 day ago,100)}
set{M12xM12, MoMoa - MoMob}

set{ACDIb,days(accumulation distribution is above accumulation distribution 1 day ago,100)}
set{ACDIa,days(accumulation distribution is below accumulation distribution 1 day ago,100)}
set{ADxAD, ACDIa - ACDIb}

set{WPRb,days(Williams %R(10) is above Williams %R(10) 1 day ago,100)}
set{WPRa,days(Williams %R(10) is below Williams %R(10) 1 day ago,100)}
set{W10xW10, WPRa - WPRb}

set{rsib,days(rsi(2) is above rsi(2) 1 day ago,100)}
set{rsia,days(rsi(2) is below rsi(2) 1 day ago,100)}
set{R2xR2, rsia - rsib}

set{xc2, rsix + wrx}
set{xc1, xc2 + accdx}
set{RSIWLR, xc1 + momox}


Set{n1, momox * 1}
Set{n2, rsix * 10}
Set{n3, accdx * 100}
Set{n4, wrx * 1000}

Set{na, n1 + n2}
Set{nb, n3 + n4}
Set{WARM, na + nb}

set{rsi60D, count(rsi(2) equal rsi(2) 60 day low, 1)}
set{wr60D, count(Williams %R(10) equal Williams %R(10) 60 day low , 1)}
set{momo60D, count(momentum(12) equal momentum(12) 60 day low, 1)}
set{accd60D, count(accumulation distribution equal accumulation distribution 60 day low, 1)}

add column warm

add column adval
add column moval
add column wrval

add column w10xw10
add column ADxAD

add column r2xr2
add column M12xM12

add column wr60D
add column accd60D
add column rsi60D
add column momo60D

and add column xBB {BBx_}
and add column xLR {LRx_}
and add column wBB {wBBx}
and add column wLR {wLRx}


add column accumulation distribution
add column RSI(2)
add column Williams %R(10)
add column momentum(12)
and add column industry


draw adval
draw moval
draw wrval

draw accumulation distribution
draw rsi(2)
draw Williams %R(10)
draw momentum(12)

/* YOUR SELECTION CRITERIA GOES BELOW THIS LINE */

close is between 1 and 10
volume above 1000000

SORT COLUMN 5 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */



Now all YOU have to do is select the appropriate values for the columns.



MAY ALL YOUR FILLS BE COMPLETE.

therumpledone

/* MP RSIWLR ANALYZER DISPLAY */

set{adrng, accumulation distribution 100 day high - accumulation distribution 100 day low}
set{adpct, adrng * .01}
set{adcon, accumulation distribution - accumulation distribution 100 day low}
set{adval, adcon / adpct }

set{morng, momentum(12) 100 day high - momentum(12) 100 day low}
set{mopct, morng * .01}
set{mocon, momentum(12) - momentum(12) 100 day low}
set{moval, mocon / mopct }

set{wrval, Williams %R(10) + 100}


set{rsix, count(rsi(2)crossed above 20, 1)}
set{wrx, count(Williams %R(10) crossed above -70 , 1)}
set{momox, count(momentum(12) above momentum(12) 1 day ago, 1)}
set{accdx, count(accumulation distribution above accumulation distribution 1 day ago, 1)}

set{xBB1, count(HIGH crossed above the upper bollinger band (20),1) - count(LOW crossed below the lower bollinger band (20),1)}

set{xBB2, count(close above the upper bollinger band (20),1) - count(close below the lower bollinger band (20),1)}

set{xBB, xBB1 + xBB2}

set{xLR1, count(HIGH crossed above the top linear regression line(60),1) - count(LOW crossed below the bottom linear regression line(60),1)}

set{xLR2, count(close above the top linear regression line(60),1) - count(close below the bottom linear regression line(60),1)}

set{xLR, xLR1 + xLR2}


set{wBB1, count(HIGH crossed above the weekly upper bollinger band (20),1) - count(LOW crossed below the weekly lower bollinger band (20),1)}

set{wBB2, count(close above the weekly upper bollinger band (20),1) - count(close below the weekly lower bollinger band (20),1)}

set{wBB, wBB1 + wBB2}

set{wLR1, count(HIGH crossed above the weekly top linear regression line(60),1) - count(LOW crossed below the weekly bottom linear regression line(60),1)}

set{wLR2, count(close above the weekly top linear regression line(60),1) - count(close below the weekly bottom linear regression line(60),1)}

set{wLR, wLR1 + wLR2}

set{MoMob,days(Momentum(12) is above Momentum(12) 1 day ago,100)}
set{MoMoa,days(Momentum(12) is below Momentum(12) 1 day ago,100)}
set{M12xM12, MoMoa - MoMob}

set{ACDIb,days(accumulation distribution is above accumulation distribution 1 day ago,100)}
set{ACDIa,days(accumulation distribution is below accumulation distribution 1 day ago,100)}
set{ADxAD, ACDIa - ACDIb}

set{WPRb,days(Williams %R(10) is above Williams %R(10) 1 day ago,100)}
set{WPRa,days(Williams %R(10) is below Williams %R(10) 1 day ago,100)}
set{W10xW10, WPRa - WPRb}

set{rsib,days(rsi(2) is above rsi(2) 1 day ago,100)}
set{rsia,days(rsi(2) is below rsi(2) 1 day ago,100)}
set{R2xR2, rsia - rsib}

set{xc2, rsix + wrx}
set{xc1, xc2 + accdx}
set{RSIWLR, xc1 + momox}


Set{n1, momox * 1}
Set{n2, rsix * 10}
Set{n3, accdx * 100}
Set{n4, wrx * 1000}

Set{na, n1 + n2}
Set{nb, n3 + n4}
Set{WARM, na + nb}

set{rsi60D, count(rsi(2) equal rsi(2) 60 day low, 1)}
set{wr60D, count(Williams %R(10) equal Williams %R(10) 60 day low , 1)}
set{momo60D, count(momentum(12) equal momentum(12) 60 day low, 1)}
set{accd60D, count(accumulation distribution equal accumulation distribution 60 day low, 1)}

add column warm

add column adval
add column moval
add column wrval

add column w10xw10
add column ADxAD

add column r2xr2
add column M12xM12

add column wr60D
add column accd60D
add column rsi60D
add column momo60D

and add column xBB {BBx_}
and add column xLR {LRx_}
and add column wBB {wBBx}
and add column wLR {wLRx}


add column accumulation distribution
add column RSI(2)
add column Williams %R(10)
add column momentum(12)
and add column industry


draw adval
draw moval
draw wrval

draw accumulation distribution
draw rsi(2)
draw Williams %R(10)
draw momentum(12)

/* YOUR SELECTION CRITERIA GOES BELOW THIS LINE */

close is between 1 and 10
volume above 1000000

SORT COLUMN 5 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */



MAY ALL YOUR FILLS BE COMPLETE

therumpledone

/* MP RSIWLR ANALYZER DISPLAY */

set{adrng, accumulation distribution 100 day high - accumulation distribution 100 day low}
set{adpct, adrng * .01}
set{adcon, accumulation distribution - accumulation distribution 100 day low}
set{adval, adcon / adpct }

set{morng, momentum(12) 100 day high - momentum(12) 100 day low}
set{mopct, morng * .01}
set{mocon, momentum(12) - momentum(12) 100 day low}
set{moval, mocon / mopct }

set{wrval, Williams %R(10) + 100}


set{rsix, count(rsi(2)crossed above 20, 1)}
set{wrx, count(Williams %R(10) crossed above -70 , 1)}
set{momox, count(momentum(12) above momentum(12) 1 day ago, 1)}
set{accdx, count(accumulation distribution above accumulation distribution 1 day ago, 1)}

set{xBB1, count(HIGH crossed above the upper bollinger band (20),1) - count(LOW crossed below the lower bollinger band (20),1)}

set{xBB2, count(close above the upper bollinger band (20),1) - count(close below the lower bollinger band (20),1)}

set{xBB, xBB1 + xBB2}

set{xLR1, count(HIGH crossed above the top linear regression line(60),1) - count(LOW crossed below the bottom linear regression line(60),1)}

set{xLR2, count(close above the top linear regression line(60),1) - count(close below the bottom linear regression line(60),1)}

set{xLR, xLR1 + xLR2}


set{wBB1, count(HIGH crossed above the weekly upper bollinger band (20),1) - count(LOW crossed below the weekly lower bollinger band (20),1)}

set{wBB2, count(close above the weekly upper bollinger band (20),1) - count(close below the weekly lower bollinger band (20),1)}

set{wBB, wBB1 + wBB2}

set{wLR1, count(HIGH crossed above the weekly top linear regression line(60),1) - count(LOW crossed below the weekly bottom linear regression line(60),1)}

set{wLR2, count(close above the weekly top linear regression line(60),1) - count(close below the weekly bottom linear regression line(60),1)}

set{wLR, wLR1 + wLR2}

set{MoMob,days(Momentum(12) is above Momentum(12) 1 day ago,100)}
set{MoMoa,days(Momentum(12) is below Momentum(12) 1 day ago,100)}
set{M12xM12, MoMoa - MoMob}

set{ACDIb,days(accumulation distribution is above accumulation distribution 1 day ago,100)}
set{ACDIa,days(accumulation distribution is below accumulation distribution 1 day ago,100)}
set{ADxAD, ACDIa - ACDIb}

set{WPRb,days(Williams %R(10) is above Williams %R(10) 1 day ago,100)}
set{WPRa,days(Williams %R(10) is below Williams %R(10) 1 day ago,100)}
set{W10xW10, WPRa - WPRb}

set{rsib,days(rsi(2) is above rsi(2) 1 day ago,100)}
set{rsia,days(rsi(2) is below rsi(2) 1 day ago,100)}
set{R2xR2, rsia - rsib}

set{xc2, rsix + wrx}
set{xc1, xc2 + accdx}
set{RSIWLR, xc1 + momox}


Set{n1, momox * 1}
Set{n2, rsix * 10}
Set{n3, accdx * 100}
Set{n4, wrx * 1000}

Set{na, n1 + n2}
Set{nb, n3 + n4}
Set{WARM, na + nb}

set{rsi60D, count(rsi(2) equal rsi(2) 60 day low, 1)}
set{wr60D, count(Williams %R(10) equal Williams %R(10) 60 day low , 1)}
set{momo60D, count(momentum(12) equal momentum(12) 60 day low, 1)}
set{accd60D, count(accumulation distribution equal accumulation distribution 60 day low, 1)}

add column warm

add column adval
add column moval
add column wrval

add column w10xw10
add column ADxAD

add column r2xr2
add column M12xM12

add column wr60D
add column accd60D
add column rsi60D
add column momo60D

and add column xBB {BBx_}
and add column xLR {LRx_}
and add column wBB {wBBx}
and add column wLR {wLRx}


add column accumulation distribution
add column RSI(2)
add column Williams %R(10)
add column momentum(12)
and add column industry


draw adval
draw moval
draw wrval

draw accumulation distribution
draw rsi(2)
draw Williams %R(10)
draw momentum(12)

/* YOUR SELECTION CRITERIA GOES BELOW THIS LINE */

close is between 1 and 10
volume above 1000000

SORT COLUMN 5 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */

MAY ALL YOUR FILLS BE COMPLETE

therumpledone

THIS ONE GET THE BOTTOM FISH


/* MP RSIWLR ANALYZER DISPLAY */

set{adrng, accumulation distribution 100 day high - accumulation distribution 100 day low}
set{adpct, adrng * .01}
set{adcon, accumulation distribution - accumulation distribution 100 day low}
set{adval, adcon / adpct }

set{morng, momentum(12) 100 day high - momentum(12) 100 day low}
set{mopct, morng * .01}
set{mocon, momentum(12) - momentum(12) 100 day low}
set{moval, mocon / mopct }

set{wrval, Williams %R(10) + 100}


set{rsix, count(rsi(2) between 0 and 20 , 1)}
set{wrx, count(wrval between 0 and 20 , 1)}
set{momox, count(moval between 0 and 30, 1)}
set{accdx, count(adval between 0 and 20, 1)}

set{xBB1, count(HIGH crossed above the upper bollinger band (20),1) - count(LOW crossed below the lower bollinger band (20),1)}

set{xBB2, count(close above the upper bollinger band (20),1) - count(close below the lower bollinger band (20),1)}

set{xBB, xBB1 + xBB2}

set{xLR1, count(HIGH crossed above the top linear regression line(60),1) - count(LOW crossed below the bottom linear regression line(60),1)}

set{xLR2, count(close above the top linear regression line(60),1) - count(close below the bottom linear regression line(60),1)}

set{xLR, xLR1 + xLR2}


set{wBB1, count(HIGH crossed above the weekly upper bollinger band (20),1) - count(LOW crossed below the weekly lower bollinger band (20),1)}

set{wBB2, count(close above the weekly upper bollinger band (20),1) - count(close below the weekly lower bollinger band (20),1)}

set{wBB, wBB1 + wBB2}

set{wLR1, count(HIGH crossed above the weekly top linear regression line(60),1) - count(LOW crossed below the weekly bottom linear regression line(60),1)}

set{wLR2, count(close above the weekly top linear regression line(60),1) - count(close below the weekly bottom linear regression line(60),1)}

set{wLR, wLR1 + wLR2}

set{MoMob,days(Momentum(12) is above Momentum(12) 1 day ago,100)}
set{MoMoa,days(Momentum(12) is below Momentum(12) 1 day ago,100)}
set{M12xM12, MoMoa - MoMob}

set{ACDIb,days(accumulation distribution is above accumulation distribution 1 day ago,100)}
set{ACDIa,days(accumulation distribution is below accumulation distribution 1 day ago,100)}
set{ADxAD, ACDIa - ACDIb}

set{WPRb,days(Williams %R(10) is above Williams %R(10) 1 day ago,100)}
set{WPRa,days(Williams %R(10) is below Williams %R(10) 1 day ago,100)}
set{W10xW10, WPRa - WPRb}

set{rsib,days(rsi(2) is above rsi(2) 1 day ago,100)}
set{rsia,days(rsi(2) is below rsi(2) 1 day ago,100)}
set{R2xR2, rsia - rsib}

set{xc2, rsix + wrx}
set{xc1, xc2 + accdx}
set{RSIWLR, xc1 + momox}


Set{n1, momox * 1}
Set{n2, rsix * 10}
Set{n3, accdx * 100}
Set{n4, wrx * 1000}

Set{na, n1 + n2}
Set{nb, n3 + n4}
Set{WARM, na + nb}

set{rsi60D, count(rsi(2) equal rsi(2) 60 day low, 1)}
set{wr60D, count(Williams %R(10) equal Williams %R(10) 60 day low , 1)}
set{momo60D, count(momentum(12) equal momentum(12) 60 day low, 1)}
set{accd60D, count(accumulation distribution equal accumulation distribution 60 day low, 1)}

add column warm

add column adval
add column moval
add column wrval

add column w10xw10
add column ADxAD

add column r2xr2
add column M12xM12

add column wr60D
add column accd60D
add column rsi60D
add column momo60D

and add column xBB {BBx_}
and add column xLR {LRx_}
and add column wBB {wBBx}
and add column wLR {wLRx}


add column accumulation distribution
add column RSI(2)
add column Williams %R(10)
add column momentum(12)
and add column industry


draw adval
draw moval
draw wrval

draw accumulation distribution
draw rsi(2)
draw Williams %R(10)
draw momentum(12)

/* YOUR SELECTION CRITERIA GOES BELOW THIS LINE */

close above 1
volume above 100000
RSIWLR equal 4

SORT COLUMN 5 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */

MAY ALL YOUR FILLS BE COMPLETE.