StockFetcher Forums · Filter Exchange · BELLS AND WHISTLES<< >>Post Follow-up
TheRumpledOne
6,359 posts
msg #37257
Ignore TheRumpledOne
8/2/2005 3:05:08 PM

Someone asked me to add bells and whistle's to this filter...

Fetcher[
slow stochastic(7,3)fast %K crossed above slow stochastic(7,3)slow %D within the last 1 days

slow stochastic(7,3)fast %K crossed above 20 within the last 1 days

williams %R(9)crossed above -80 within the last 1 days

Average Volume (90) is above 100000

close is between 1 and 5
]



This adds the "BELLS" ...



Fetcher[
/* STOCK DASHBOARD DISPLAY for newbies and old pros */

set{E36b,days(ema(3) is above ema(6),100)}
set{E36a,days(ema(3) is below ema(6),100)}
set{E3xE6, E36a - E36b}

set{E50200b,days(ma(50) is above ma(200),100)}
set{E50200a,days(ma(50) is below ma(200),100)}
set{M50xM200, E50200a - E50200b}

set{E1326b,days(ema(13) is above ema(26),100)}
set{E1326a,days(ema(13) is below ema(26),100)}
set{E13xE26, E1326a - E1326b}

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

set{E5b,days(close is above ema(5),100)}
set{E5a,days(close is below ema(5),100)}
set{CxE5, E5a - E5b}


set{E50b,days(close is above ma(50),100)}
set{E50a,days(close is below ma(50),100)}
set{CxM50, E50a - E50b}

set{E200b,days(close is above ma(200),100)}
set{E200a,days(close is below ma(200),100)}
set{CxM200, E200a - E200b}


set{T10, count(10 day slope of the close above 0,1)}
set{T60, count(60 day slope of the close above 0,1)}
set{T200, count(200 day slope of the close above 0,1)}

Set{a1, T200 * 1}
Set{a2, T60 * 10}
Set{a3, T10 * 100}

Set{aa, a1 + a2}
Set{TREND, aa + a3}

set{v, volume 1 day ago}
set{volinc, volume - v}
set{volpc, volinc / v}
set{volpct, volpc * 100}

set{VolZ, days(volume < 1,100)}
set{VolUp, days(volume is below volume 1 day ago,100)}
set{VolDn, days(volume is above volume 1 day ago,100)}
set{VolCnt, VolUp - VolDn}

set{vck1, volume 1 day ago }
set{vck, volume / vck1 }
set{vdbl, days(vck < 2, 100)}


set{PARBuy, count(close crossed above Parabolic SAR, 5) }
set{DMIBuy, count( di(14) Difference crossed above 0 , 5) }
set{DMIBuyX, count( di(14) Difference above 0 , 1) }

set{PARSell, count(close crossed below Parabolic SAR, 5) }
set{DMISell, count( di(14) Difference crossed below 0, 5) }
set{DMISellX, count( di(14) Difference below 0, 1) }

set{PARSBuy1, PARBuy * DMIBuy}
set{PARSBuy, PARSBuy1 * DMIBuyX}

set{PARSSell1, PARSell * DMISell}
set{PARSSell, PARSSell1 * DMISellX}

set{PARSTrade, PARSBuy + PARSSell}

set{HiOp, high - open}

set{WRb,days(Williams %R(10) is above Williams %R(10) 1 day ago,100)}
set{WRa,days(Williams %R(10) is below Williams %R(10) 1 day ago,100)}
set{WRxWR, WRa - WRb}


and add column VolCnt
and add column Vdbl
and add column volpct

and add column HiOp
and add column Trend

and add column CxC {CxC_}
and add column CxE5 {CxE5}

and add column E3xE6 {E3xE6}
and add column E13xE26 {E13xE26}


and add column CxM50
and add column CxM200
and add column M50xM200

add column rsi(2)
add column weekly rsi(2)

add column PARSBuy
add column PARSSell

add column WRxWR

and draw RSI(2)
and draw ema(5)

and draw Williams %R(10)

and draw Parabolic SAR
and draw +di(14)

and draw -di(14)
and draw adx(14)
and draw di(14) difference

/* your filter code goes below this line */

slow stochastic(7,3)fast %K crossed above slow stochastic(7,3)slow %D within the last 1 days

slow stochastic(7,3)fast %K crossed above 20 within the last 1 days

williams %R(9)crossed above -80 within the last 1 days

Average Volume (90) is above 100000

close is between 1 and 5

SORT COLUMN 5 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */

]






This adds "WHISTLES"...


Fetcher[
/* 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 */

slow stochastic(7,3)fast %K crossed above slow stochastic(7,3)slow %D within the last 1 days

slow stochastic(7,3)fast %K crossed above 20 within the last 1 days

williams %R(9)crossed above -80 within the last 1 days

Average Volume (90) is above 100000

close is between 1 and 5

SORT COLUMN 5 DESCENDING

/* YOUR SELECTION CRITERIA GOES ABOVE THIS LINE */
]





Contrary to what some believe, these displays are NOT bells and whistles.

They are displays which give you the indicator readings to base your trading decisions on AND these columns give you the flexibility to sort your data many ways to check for patterns. And if you have any type of AUTOMATED SYSTEM, they allow the computer to process the information for your trading strategies.

It is much faster AND more accurate than reading a chart to determine trends, how many days volume or price has been increasing/decreasing, what crossovers occurred and how many days since the crossover, etc...

Of course, you can just run a filter WITHOUT the displays and hope for the best...

IT'S ALL UP TO YOU!

MAY ALL YOUR FILLS BE COMPLETE.






TheRumpledOne
6,359 posts
msg #48354
Ignore TheRumpledOne
12/2/2006 9:03:23 PM

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