StockFetcher Forums · Filter Exchange · Run Forest, Run<< 1 ... 3 4 5 6 7 ... 56 >>Post Follow-up
TheRumpledOne
6,359 posts
msg #57291
Ignore TheRumpledOne
12/1/2007 11:44:41 AM

Fetcher[
/* TRO STAT SCAN ENHANCED*/

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

/* Long Profit Percent Statistics Display */

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

set{HiOp, high - open}
set{Long_Profit, HiOp/open }

set{B1A, count(Long_Profit > .01 , 100)}
set{B2A, count(Long_Profit > .05, 100)}
set{B0010, B1A - B2A}

set{F1A, count(Long_Profit > .05 , 100)}
set{F2A, count(Long_Profit > .10, 100)}
set{F3040, F1A - F2A}

set{I100, count(Long_Profit > .10 , 100)}

set{ClOp, Close - open}
set{Close_Profit, ClOp/open }

set{CL1A, count(Close_Profit > .01 , 100)}
set{CL2A, count(Close_Profit > .05, 100)}
set{CL0010, CL1A - CL2A}

set{CX1A, count(Close_Profit > .05 , 100)}
set{CX2A, count(Close_Profit > .10, 100)}
set{CX3040, CX1A - CX2A}

set{C100, count(Close_Profit > .10 , 100)}

add column HiOp
add column Long_Profit {ProfitPct}

and add column B0010 {1_5}
and add column F3040 {5_10}
and add column I100 {10___}

and add column separator
add column ClOp
add column Close_Profit {ProfitPct}
and add column CL0010 {1_5}
and add column CX3040 {5_10}
and add column C100 {10___}

and add column separator
and add column volcnt
and add column volzero

close is between 1 and 15
average volume(10) above 250000

sort column 10 descending
]



I added the close profit ( close - open) so you can see how much is taken back.





TheRumpledOne
6,359 posts
msg #57298
Ignore TheRumpledOne
modified
12/1/2007 1:25:14 PM

Fetcher[
/* Run Forest, Run - OPEN ABOVE OPEN - BACKTEST */

set{CCb,days(close is above close 1 day ago,10)}
set{CCa,days(close is below close 1 day ago,10)}
set{ClxCl , CCa - CCb}

set{OPb,days(OPEN is above OPEN 1 day ago,10)}
set{OPa,days(OPEN is below OPEN 1 day ago,10)}
set{OPxOP , OPa - OPb}

add column ClxCl
add column OPxOP

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

/* Open above Open Display */

set{OpOp, Open - open 1 day ago}
set{Open_Profit, OpOp/open }

set{CL1A, count(OPxOP > 1 , 100)}
set{CL2A, count(OPxOP > 3, 100)}
set{OP2, CL1A - CL2A}

set{CX1A, count(OPxOP > 2 , 100)}
set{CX2A, count(OPxOP > 4, 100)}
set{OP3, CX1A - CX2A}

set{CY1A, count(OPxOP > 3 , 100)}
set{CY2A, count(OPxOP > 5, 100)}
set{OP4, CY1A - CY2A}

set{OP5P, count(OPxOP > 4, 100)}
set{OP2P, count(OPxOP > 1, 100)}

add column OpOp
add column Open_Profit {ProfitPct}

and add column OP2
and add column OP3
and add column OP4
and add column OP5P

and add column separator
and add column OP2P

and add column separator
and add column volcnt
and add column volzero


OPxOP 1 day ago equal 1
close is between 1 and 15
average volume(10) above 250000

sort column 14 descending

and date offset is 1
]



If "OPxOP 1 day ago equal 1" and you use "date offset is 1", then the stocks shows OPxOP equal 2 are winners!



moqual
38 posts
msg #57394
Ignore moqual
12/2/2007 6:15:49 PM

Thanks TRO, guess closing at the low had no significance.

TheRumpledOne
6,359 posts
msg #57756
Ignore TheRumpledOne
modified
12/7/2007 11:39:34 PM

Fetcher[
/* TRO STAT SCAN - MIDDLE*/

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

/* Long Profit Percent Statistics Display */

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

SET{ XRANGE, HIGH - LOW }
SET{ HALF, XRANGE * .50 }
SET{ MIDDLE , LOW + HALF }
SET{ CL_MID, COUNT( CLOSE ABOVE MIDDLE, 1 ) }

set{HiOp, high - open}
set{Long_Profit, HiOp/open }

set{B1A, count(Long_Profit > .01 , 100)}
set{B2A, count(Long_Profit > .05, 100)}
set{B0010, B1A - B2A}

set{F1A, count(Long_Profit > .05 , 100)}
set{F2A, count(Long_Profit > .10, 100)}
set{F3040, F1A - F2A}

set{I100, count(Long_Profit > .10 , 100)}

set{ClOp, Close - open}
set{Close_Profit, ClOp/open }

set{CL1A, count(Close_Profit > .01 , 100)}
set{CL2A, count(Close_Profit > .05, 100)}
set{CL0010, CL1A - CL2A}

set{CX1A, count(Close_Profit > .05 , 100)}
set{CX2A, count(Close_Profit > .10, 100)}
set{CX3040, CX1A - CX2A}

set{C100, count(Close_Profit > .10 , 100)}

add column HiOp
add column Long_Profit {ProfitPct}

and add column B0010 {1_5}
and add column F3040 {5_10}
and add column I100 {10___}

and add column separator
ADD COLUMN CL_MID
add column ClOp
add column Close_Profit {ProfitPct}
and add column CL0010 {1_5}
and add column CX3040 {5_10}
and add column C100 {10___}

and add column separator
and add column volcnt
and add column volzero

close is between 1 and 15
average volume(10) above 250000

sort column 10 descending
]



Just an idea.

13th_floor
724 posts
msg #57764
Ignore 13th_floor
12/8/2007 11:53:07 AM

The first RFR scan posted on this thread,the basic one I call it, with average volume(10) above 250,000 and PRICE CHANGED TO BETWEEN 15 AND 50 has been giving very impressive results since I've been tracking it daily the last few weeks.

Yestedays scan of the top 20 :
JRJC LULU ABK YGE CHNR ELON SSRX MTH EFUT CSIQ ASTI TBSI IOC PWRD WX SOLF MTG KBW GSOL MBI

18 ups/2 slight 1% downs

1 week results with a date offset of 5 for the top 20 matches show 16 ups/4 downs (3 very slight) with 9 of those 16 ups in double digits including big gains YGE 20% PWRD 30% SOLF 58% CSIQ 37%

TheRumpledOne
6,359 posts
msg #57768
Ignore TheRumpledOne
modified
12/8/2007 1:37:06 PM

Fetcher[
/* TRO STAT SCAN - GREED */

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

/* Long Profit Percent Statistics Display */

set{HiOp, high - open}
set{Long_Profit, HiOp/open }

set{B1A, count(Long_Profit > .01 , 100)}
set{B2A, count(Long_Profit > .02 , 100)}
set{B3A, count(Long_Profit > .03 , 100)}
set{B4A, count(Long_Profit > .04, 100)}
set{B5A, count(Long_Profit > .05, 100)}
set{B10A, count(Long_Profit > .10 , 100)}
set{B20A, count(Long_Profit > .20 , 100)}
set{B50A, count(Long_Profit > .50, 100)}

add column HiOp
add column Long_Profit {ProfitPct}

and add column B1A {OVER1PCT}
and add column B2A {OVER2PCT}
and add column B3A {OVER3PCT}
and add column B4A {OVER4PCT}
and add column B5A {OVER5PCT}
and add column B10A {OVER10PCT}
and add column B20A {OVER20PCT}
and add column B50A {OVER50PCT}

and add column separator

and add column volcnt
and add column volzero

close is between 1 and 15
average volume(10) above 250000

sort column 13 descending
]



This is a twist on the original. This tells you how many days out of the last 100 the stock ran over 1%, 2%, 3%, etc...

You can use this to determine how greedy you should be.

Fetcher[
/* TRO STAT SCAN - GREED with SYMLIST*/

SYMLIST(JADE)

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

/* Long Profit Percent Statistics Display */

set{HiOp, high - open}
set{Long_Profit, HiOp/open }

set{B1A, count(Long_Profit > .01 , 100)}
set{B2A, count(Long_Profit > .02 , 100)}
set{B3A, count(Long_Profit > .03 , 100)}
set{B4A, count(Long_Profit > .04, 100)}
set{B5A, count(Long_Profit > .05, 100)}
set{B10A, count(Long_Profit > .10 , 100)}
set{B20A, count(Long_Profit > .20 , 100)}
set{B50A, count(Long_Profit > .50, 100)}

add column HiOp
add column Long_Profit {ProfitPct}

and add column B1A {OVER1PCT}
and add column B2A {OVER2PCT}
and add column B3A {OVER3PCT}
and add column B4A {OVER4PCT}
and add column B5A {OVER5PCT}
and add column B10A {OVER10PCT}
and add column B20A {OVER20PCT}
and add column B50A {OVER50PCT}

and add column separator

and add column volcnt
and add column volzero

sort column 13 descending
]



A bunch of you were in Muddy's chatroom when he called JADE. I was away this week and was watching CNBC and saw JADE scroll across on the ticker. I knew MUDDY would be all over it when it hit $4.00. JADE ran to over $5.00.

So use the TRO STAT SCAN - GREED with SYMLIST to give you an idea just how far the stock may run.

The TRO STAT SCANs are really unfair!

But PLEASE REMEMBER, these are just ARBITRARY NUMBERS and you may want to BACKTEST THIS FOREVER before you decide to ever use it. In fact, it's probably better (for the rest of us) if you don't use it...LMAO!!





TheRumpledOne
6,359 posts
msg #57769
Ignore TheRumpledOne
12/8/2007 2:07:17 PM

Fetcher[
/* TRO STAT SCAN - GREED with SYMLIST*/

SYMLIST(DWCH,SDTH,ADAM,ACTU,ASUR,BITI,PED,TGB,WATG,CDS,GSB,LWSN,NGA,QSC,CBZ,DGC,RMTR,UVE,BSQR,GBT,BRKR,GSI,ARTG,PNS,TO,ZONS,BCP,CRMH,EDAC,WRLS,KAZ,TCM,EPMD,GEOI,HIMX,NAO,SLP,XOMA,CGS,ELSE,NTSC,SVA,TSTC,TGA)

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

/* Long Profit Percent Statistics Display */

set{HiOp, high - open}
set{Long_Profit, HiOp/open }

set{B1A, count(Long_Profit > .01 , 100)}
set{B2A, count(Long_Profit > .02 , 100)}
set{B3A, count(Long_Profit > .03 , 100)}
set{B4A, count(Long_Profit > .04, 100)}
set{B5A, count(Long_Profit > .05, 100)}
set{B10A, count(Long_Profit > .10 , 100)}
set{B20A, count(Long_Profit > .20 , 100)}
set{B50A, count(Long_Profit > .50, 100)}

add column HiOp
add column Long_Profit {ProfitPct}

and add column B1A {OVER1PCT}
and add column B2A {OVER2PCT}
and add column B3A {OVER3PCT}
and add column B4A {OVER4PCT}
and add column B5A {OVER5PCT}
and add column B10A {OVER10PCT}
and add column B20A {OVER20PCT}
and add column B50A {OVER50PCT}

and add column separator

and add column volcnt
and add column volzero

sort column 13 descending
]



Someone's idea of the best stocks under $10

TheRumpledOne
6,359 posts
msg #57770
Ignore TheRumpledOne
modified
12/8/2007 2:11:48 PM

Fetcher[
/* TRO STAT SCAN - GREEDY BASTARD */

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

/* Long Profit Percent Statistics Display */

set{HiOp, high - open}
set{Long_Profit, HiOp/open }

set{B1A, count(Long_Profit > .01 , 100)}
set{B2A, count(Long_Profit > .02 , 100)}
set{B3A, count(Long_Profit > .03 , 100)}
set{B4A, count(Long_Profit > .04, 100)}
set{B5A, count(Long_Profit > .05, 100)}
set{B10A, count(Long_Profit > .10 , 100)}
set{B20A, count(Long_Profit > .20 , 100)}
set{B50A, count(Long_Profit > .50, 100)}

add column HiOp
add column Long_Profit {ProfitPct}

and add column B1A {OVER1PCT}
and add column B2A {OVER2PCT}
and add column B3A {OVER3PCT}
and add column B4A {OVER4PCT}
and add column B5A {OVER5PCT}
and add column B10A {OVER10PCT}
and add column B20A {OVER20PCT}
and add column B50A {OVER50PCT}

and add column separator

and add column volcnt
and add column volzero

/* SELECTION CRITERIA */

B10A above 9
close is between 1 and 15
average volume(10) above 250000

sort column 13 descending
]



Stocks that run 10% or more 10 percent or more of the time.

DISCLAIMER: These numbers are purely HISTORICAL and could be considered by some as ARBITRARY.

WARNING: These stock could be profitable if traded well.



TheRumpledOne
6,359 posts
msg #57771
Ignore TheRumpledOne
modified
12/8/2007 2:22:33 PM

Fetcher[
/* TRO STAT SCAN - GREEDIER BASTARD */

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

/* Long Profit Percent Statistics Display */

set{HiOp, high - open}
set{Long_Profit, HiOp/open }

set{B1A, count(Long_Profit > .01 , 100)}
set{B2A, count(Long_Profit > .02 , 100)}
set{B3A, count(Long_Profit > .03 , 100)}
set{B4A, count(Long_Profit > .04, 100)}
set{B5A, count(Long_Profit > .05, 100)}
set{B10A, count(Long_Profit > .10 , 100)}
set{B20A, count(Long_Profit > .20 , 100)}
set{B50A, count(Long_Profit > .50, 100)}

SET{GREED, B1A - B2A}

add column HiOp
add column Long_Profit {ProfitPct}
ADD COLUMN GREED
and add column B1A {OVER1PCT}
and add column B2A {OVER2PCT}
and add column B3A {OVER3PCT}
and add column B4A {OVER4PCT}
and add column B5A {OVER5PCT}
and add column B10A {OVER10PCT}
and add column B20A {OVER20PCT}
and add column B50A {OVER50PCT}

and add column separator

and add column volcnt
and add column volzero

/* SELECTION CRITERIA */

market is nasdaq 100

sort column 8 Ascending
]



GREED is the difference between the times it runs 1% or more vs 2% or more. The smaller GREED is, the more likely it will run 2% or more if it runs 1%.

DISCLAIMER: These numbers are purely historical and may not be representative of what happens during market hours. The prices that represent the percentage moves could be construed as PURELY ARBITRARY POINTS IN SPACE and have no bearing on the market at all. Then again, the same could be said for SQUIGGLY LINE INDICATORS... ROFLMAO!!

On the otherhand, statistics have a way of repeating themselves...LOL!!



TheRumpledOne
6,359 posts
msg #57784
Ignore TheRumpledOne
modified
12/8/2007 5:32:36 PM

Fetcher[
/* TRO STAT SCAN - GREEDIER BASTARD COUNT PENNIES */

set{CCb,days(close is above close 1 day ago,100)}
set{CCa,days(close is below close 1 day ago,100)}
set{ClxCl , CCa - CCb}

add column ClxCl

set{volcnt, count(volume above 1000000, 100) }
set{volzero, count(volume equal 0, 100) }

/* Long Profit Percent Statistics Display */

set{HiOp, high - open}
set{Long_Profit, HiOp }

set{B1A, count(Long_Profit > .1 , 100)}
set{B2A, count(Long_Profit > .2 , 100)}
set{B3A, count(Long_Profit > .3 , 100)}
set{B4A, count(Long_Profit > .4, 100)}
set{B5A, count(Long_Profit > .5, 100)}
set{B10A, count(Long_Profit > 1.00 , 100)}
set{B20A, count(Long_Profit > 2.00 , 100)}
set{B50A, count(Long_Profit > 5.00, 100)}

SET{GREED, B1A - B5A}

add column HiOp
ADD COLUMN GREED
and add column B1A {OVER.10}
and add column B2A {OVER.20}
and add column B3A {OVER.30}
and add column B4A {OVER.40}
and add column B5A {OVER.50}
and add column B10A {OVER1.00}
and add column B20A {OVER2.00}
and add column B50A {OVER5.00}

and add column separator

and add column volcnt
and add column volzero

/* SELECTION CRITERIA */

market is nasdaq 100

sort column 7 Ascending
]



This counts pennies instead of percentage.

DISCLAIMER: Trading is risky. Seek the advice of trading professionals, gurus, financials advisors, etc. DO NOT RELY ON ANYTHING AS ARBITRARY AS STATISTICS to guide your trading decisions!!

Just because a stock, like AAPL, has gone up $.50 or more, from open to high, 80 times in the last 100 days, IT DOES NOT MEAN AAPL WILL CONTINUE TO DO SO. Basing your trading on something as ARBITRARY as statistics borders on the ABSURD!

Please consult numerous SQUIGGLY LINES INDICATORS on various time frames during the heat of the market BEFORE entering any trade because this is what PROFESSIONAL, RATIONAL TRADERS DO ALL THE TIME. Note: It has been widely stated that 9 out of 10 traders lose money.

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