Full export of Stockfetcher scans

Keep in mind in this post, I detail the main scans I use everyday. The rest of these are backup scans and just a collection of filters I’ve picked up in various places over the years. I wrote/designed none of these.

But I’ve had several requests for this export so I figured I’d put it out there. Thanks

Dayrangers

show stocks where the average day range(10) is above 8 percent and close price is between 1 and 10 and volume is above 100000.

Percentage Gainers

show stocks where close gained more than 20 percent over the last one day and price is between 1 and 20
average day range is above 3 and volume is more than 100000

Two Day Percentage Gainers

show stocks where close gained more than 15 percent over the last 2 days and price is between 1 and 20
average day range is above 3 and volume is more than 100000

Run Forest Run

close is between 1 and 15
average volume(90) above 50000
average volume(10) above 250000
offset is 0

set{volcnt, count(volume above 50000, 100) }
set{volzero, count(volume equal 0, 100) }

set{x1, high – open}
set{Long_Profit, x1/open }

set{C1A, count(Long_Profit > .04 , 100)}
set{C2A, count(Long_Profit > .09, 100)}
set{C0010, C1A – C2A}

set{D1A, count(Long_Profit > .09 , 100)}
set{D2A, count(Long_Profit > .19, 100)}
set{D1020, D1A – D2A}

set{E1A, count(Long_Profit > .19 , 100)}
set{E2A, count(Long_Profit > .29, 100)}
set{E2030, E1A – E2A}

set{F1A, count(Long_Profit > .29 , 100)}
set{F2A, count(Long_Profit > .39, 100)}
set{F3040, F1A – F2A}

set{G1A, count(Long_Profit > .39 , 100)}

and add column daychg2
and add column C0010 {4_9}
and add column D1020 {10_19}
and add column E2030 {20_29}
and add column F3040 {30_39}
and add column G1A {40+}
and add column C1A {ttl}

sort column 6 descending

Red Candle Floaters

stocks where close is above upper bollinger band(20) and close is below open and price is between 1 and 20 and volume is greater than 100000
offset is 0

Run Forest Run 2

/* RUN FOREST, RUN for 1 day 8 pct loss, 2 day 10 pct loss or more */
/* and fails */

set{ DayChg1 , day change}
set{ DayChg2x , close – close 2 days ago }
set{ DayChg2y , DayChg2x / close 2 days ago }
set{ DayChg2 , DayChg2y * 100 }

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}

set{ pick1 , count( DayChg1 below -7.9999 , 1 ) }
set{ pick2 , count( DayChg2 below -9.9999 , 1 ) }
set{ pickx , pick1 + pick2 }
set{ pickx1 , pickx 1 day ago }
set{ pick3 , count( ClxCl below 0 , 1 ) * pickx1 }
set{ pick , pickx + pick3 }

add column DayChg1 {Day1}
add column DayChg2 {Day2}

/* 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)}

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

pick above 0

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

sort column 10 descending
set{total,I100+average day range(10)}
and add column total
and add column average day range(10)

Stripped Secret Combo

show stocks where the close is between 1 and 20
average volume(90) above 50000
average volume(10) above 500000
and average day range(30) is greater than 12 percent
and average day range(10) is greater than average day range(30)
offset is 0
and sort column 12 descending
set{volchng, average day range(10)-average day range(30) }
set{R1A, volchng/average day range(30)}
set{R2A, R1A * 100}
set{volcnt, count(volume above 500000, 100) }
set{volzero, count(volume equal 0, 100) }
set{x1, high – open}
set{Long_Profit, x1/open }
set{C1A, count(Long_Profit > .04 , 100)}
set{C2A, count(Long_Profit > .09, 100)}
set{C0010, C1A – C2A}
set{D1A, count(Long_Profit > .09 , 100)}
set{D2A, count(Long_Profit > .19, 100)}
set{D1020, D1A – D2A}
set{E1A, count(Long_Profit > .19 , 100)}
set{E2A, count(Long_Profit > .29, 100)}
set{E2030, E1A – E2A}
set{F1A, count(Long_Profit > .29 , 100)}
set{F2A, count(Long_Profit > .39, 100)}
set{F3040, F1A – F2A}
set{G1A, count(Long_Profit > .39 , 100)}
and add column day change(2)
and add column C0010 {4_9}
and add column D1020 {10_19}
and add column E2030 {20_29}
and add column F3040 {30_39}
and add column G1A {40+}
and add column C1A {ttl}
and add column R2A {volatilityChng%}
and D1020 is greater than 9

Combo Scan

close is between 1 and 15
average volume(90) above 50000
average volume(10) above 250000
offset is 0
set{volcnt, count(volume above 50000, 100) }
set{volzero, count(volume equal 0, 100) }
set{x1, high – open}
set{Long_Profit, x1/open }
set{C1A, count(Long_Profit > .04 , 100)}
set{C2A, count(Long_Profit > .09, 100)}
set{C0010, C1A – C2A}
set{D1A, count(Long_Profit > .09 , 100)}
set{D2A, count(Long_Profit > .19, 100)}
set{D1020, D1A – D2A}
set{E1A, count(Long_Profit > .19 , 100)}
set{E2A, count(Long_Profit > .29, 100)}
set{E2030, E1A – E2A}
set{F1A, count(Long_Profit > .29 , 100)}
set{F2A, count(Long_Profit > .39, 100)}
set{F3040, F1A – F2A}
set{G1A, count(Long_Profit > .39 , 100)}
and add column daychg2
and add column C0010 {4_9}
and add column D1020 {10_19}
and add column E2030 {20_29}
and add column F3040 {30_39}
and add column G1A {40+}
and add column C1A {ttl}
sort column 6 descending

Supernova 2-15

stocks where close gained over 10 percent over the last 4 days
and where close gained more than .5 percent over the last one day
and volume is above 500000
and Average Volume(4) is > Average Volume(30)
and price is between 2 and 15
set{ DayChg1 , close – close 4 days ago }
set{ DayChg2 , DayChg1 / close 4 days ago }
Set{ 4DayPctGain, DayChg2 * 100}
add column 4DayPctGain
and sort column 5 descending
Set{4DaysAgoPrice, close 4 days ago}
and add column 4DaysAgoPrice

1 Year Highs

high reached a new 1 year high and close is above 2.00 and average volume(30) is above 250000 add column Average Day Range(10) add column Average Day Range(30) Draw Average Day Range(10) Draw Average Day Range(30)

5 Day Percentage Gainers

show stocks where close gained more than 15 percent over the last 5 days and price is between 1 and 20
average day range is above 3

R Supernova Scan

show stocks where close gained more than 99 percent over the last 5 days

and price is between .25 and 15

average day range is above 8

and volume is greater than 500000

set{ DayChg1 , close close 5 days ago }

set{ DayChg2 , DayChg1 / close 5 days ago }

Set{ 5DayPctGain, DayChg2 * 100}

add column 5DayPctGain

and sort column 5 descending

Set{5DaysAgoPrice, close 5 days ago}

and add column 5DaysAgoPrice

One Month Percentage Gainers

show stocks where close gained more than 50 percent over the last one month and price is between 1 and 10
average day range is above 3 and volume is more than 100000

MW

Price is greater than .30
Price is less than 5
Volume is greater than 100000
Close was Greater than 35 percent above the EMA(20)

Resources from 4-14-2016 Webinar on Scanning and Watchlist building.

Yahoo Finance Percentage Gainers:

Finviz Top Gainers:

Investors Underground Nightly Scans:

Twitter “Watchlist Builder” list, by no means conclusive, but a solid curated list.

-Feel free to suggest any additions to this list!

Stockfetcher Scans:

I will post my handful of “Top scans” I have a lot more but seldom use them. Feel free to contact me if you want a full export, but remember when scanning KISS is very applicable.

Percentage Gainers:

show stocks where close gained more than 20 percent over the last one day and price is between 1 and 20
average day range is above 3 and volume is more than 100000

MW Scan:

Price is greater than .30
Price is less than 5
Volume is greater than 100000
Close was Greater than 35 percent above the EMA(20)

R Supernova Scan:

show stocks where close gained more than 99 percent over the last 5 days

and price is between .25 and 15

average day range is above 8

and volume is greater than 500000

set{ DayChg1 , close close 5 days ago }

set{ DayChg2 , DayChg1 / close 5 days ago }

Set{ 5DayPctGain, DayChg2 * 100}

add column 5DayPctGain

and sort column 5 descending

Set{5DaysAgoPrice, close 5 days ago}

and add column 5DaysAgoPrice

Red Candle Floaters:

stocks where close is above upper bollinger band(20) and close is below open and price is between 1 and 20 and volume is greater than 100000
offset is 0

The two stockfetcher.com scans I use for 99% of my watchlist.

I keep it simple when scanning, other then checking yahoo finance for big gainers, or finviz etc, I run these scans EVERY night. They are simple, probably exceedingly so, but they work for me.

 

Percentage gainers:

show stocks where close gained more than 20 percent over the last one day and price is between 1 and 10
average day range is above 3 and volume is more than 100000
Red candle floaters:
stocks where close is above upper bollinger band(20) and close is below open and price is between 1 and 10 and volume is greater than 100000
offset is 0