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Filter Exchange · 5% A WEEK FILTER (BASED ON TRO'S CROCK POT)
selfhigh05
msg #134331
modified
2/15/2017 3:42:27 PM

nevermind I thought I had something to help narrow down the scan but this doesnt work as well as I thought:

AND close above .1
AND volume is above 500000
AND OBV increased past 2 days
AND CCI(20) increased past 2 days
AND CCI(20) crossed above -100
AND Connors RSI(3,2,100) increased past 2 days
AND volume is above Average Volume(30)

Filter Exchange · 5% A WEEK FILTER (BASED ON TRO'S CROCK POT)
selfhigh05
msg #134711
3/2/2017 6:44:51 PM

I made some tweaks to further narrow down the choices to remove stocks that dont have momentum in days prior to open on Monday. I think the results are great, take a look. Sort by performance and not reward.

Fetcher[
/*MEASURE THE DIFFERENCE FROM WEEKLY OPEN TO WEEKLY HIGH*/
set{whiop, weekly high - weekly open}
set{Long_Profit, whiop / weekly open }

/*DETERMINE THE FREQUENCY THAT 5% IS ACHIEVED OVER MULTIPLE TIME FRAMES*/
set{5_1wk, count(Long_Profit > .05,1)}
set{5_4wk, count(Long_Profit > .05,4)}
set{5_8wk, count(Long_Profit > .05,8)}

/*APPLY WEIGHTING FACTORS*/
set{var1,5_4wk*0.5} /*WEIGHT 4 WK AVERAGE AT 2X*/
set{var2,5_8wk*0.125} /*WEIGHT 8 WK AVERAGE AT 1X*/

/*CREATE A WEIGHTED SUMMATION OF STOCK PERFORMANCE (MAX SCORE = 3)*/
set{reward,var1+var2}

/*DETERMINE THE RISK OF TRIPPING A 10% STOP LOSS*/
set{wloss, weekly open - weekly low}
set{max_loss, wloss / weekly open}

/*DETERMINE THE FREQUENCY THAT A 10% STOP LOSS IS TRIPPED OVER MULTIPLE TIME FRAMES*/
set{loss_1wk, count(max_loss > .10,1)}
set{loss_4wk, count(max_loss > .10,4)}
set{loss_8wk, count(max_loss > .10,8)}

/*APPLY WEIGHTING FACTORS*/
set{var11,loss_4wk*0.5} /*WEIGHT 4 WK AVERAGE AT 2X*/
set{var21,loss_8wk*0.125} /*WEIGHT 8 WK AVERAGE AT 1X*/

/*CREATE A WEIGHTED SUMMATION OF RISK (MAX SCORE = 3)*/
set{risk,var11+var21}
set{performance,reward/risk}

add column performance
add column reward {reward}
add column risk {risk}
add column 5_4wk {4 wk reward}
add column loss_4wk {4 wk risk}
add column 5_8wk {8 wk reward}
add column loss_8wk {8 wk risk}

/*SCREEN FOR THE STRONGEST CANDIDATES*/
weekly open is above 1
average volume(90) above 500000
and reward is greater than 2.0

and draw 5_1wk
and draw loss_1wk on plot 5_1wk
and do not draw reward

sort column 4 descending

chart-display is weekly
and market is not OTCBB
and Connors RSI(3,2,100) has been increasing past 1 days
and CCI(20) has been increasing past 1 days
and Fisher Transform(10) has been increasing past 1 days
and volume is above 100000
and close is above EMA(6)
and close one days ago is above EMA(6) 1 days ago
and close two days ago is above EMA(6) 2 days ago
and close three days ago is above EMA(6) 3 days ago
]



Filter Exchange · 5% A WEEK FILTER (BASED ON TRO'S CROCK POT)
selfhigh05
msg #134713
3/2/2017 7:19:52 PM

The rules are to run scan over weekend and buy Monday at open. I am going to paper trade this for a few weeks. I want to see if I can further weed out the bad ones based on Premarket activity and maybe waiting 7-10 minutes after open to see which direction its going. These things are going to be tested to see if I can find better trading.

Filter Exchange · Breakout Trading Filter - GREAT RESULTS!
selfhigh05
msg #134413
2/19/2017 8:26:10 PM

this one?

Submit
Fetcher[
Stocks are not OTCBB
Bollinger Width Oscillator(5,2) below -1 in last day
Lower Acceleration Band(5) dropped more than 3.5 Percent
Lower Keltner Band(5)dropped more then 3 percent
Day Position(0.5,1)below day position 2 days ago
do not draw day position (-1.00,5)
do not draw day position
daily low crossed below lower acceleration band(5)

IMI(4) below 11
MARKET CAP IS ABOVE 100
williams %r is below -80
rsi(14) is below 50
draw parabolic
]



Filter Exchange · Breakout Trading Filter - GREAT RESULTS!
selfhigh05
msg #134418
2/20/2017 7:51:14 AM

That was shillllihs code from another post, I was asking him which ETF filter he was referring to below, I should have included his reply for better clarity.

shillllihs
2,732 posts
msg #134400
- Ignore shillllihs 2/18/2017 6:19:52 PM

Leveraged ETFs seem to behave very well with my revised ETF filter.

Filter Exchange · Day Trading Modified Filter from previous Authors (noted in Post)
selfhigh05
msg #135877
modified
5/12/2017 7:40:54 PM

Fetcher[
/* KEVINS CROCKPOT MODIFIED */

/*MEASURE THE DIFFERENCE FROM daily OPEN TO daily HIGH*/
set{whiop, daily high - daily open}
set{Long_Profit, whiop / daily open }

/*DETERMINE THE FREQUENCY THAT 5% IS ACHIEVED OVER MULTIPLE TIME FRAMES*/
set{5_1wk, count(Long_Profit > .05, 5)}
set{5_2wkA, count(Long_Profit > .05, 10)}
set{5_2wk, 5_2wkA - 5_1wk}
set{5_3wkA, count(Long_Profit > .05, 15)}
set{5_3wk, 5_3wkA - 5_2wkA}
set{5_5wkA, count(Long_Profit > .05, 25)}
set{5_5wk, 5_5wkA - 5_3wkA}
set{5_8wkA, count(Long_Profit > .05, 40)}
set{5_8wk, 5_8wkA - 5_5wkA}
set{5_13wkA, count(Long_Profit > .05, 65)}
set{5_13wk, 5_13wkA -5_8WKA}

/*APPLY WEIGHTING FACTORS*/
set{var1, 5_1wk * 1.0}
set{var2, 5_2wk * 0.50}
set{var3, 5_3wk * 0.333}
set{var5, 5_5wk * 0.20}
set{var8, 5_8wk * 0.125}
set{var13, 5_13wk * 0.07692}

/*CREATE A WEIGHTED SUMMATION OF STOCK PERFORMANCE */
set{reward5, var1 + var2}
set{reward4, reward5 + var3}
set{reward3, reward4 + var5}
set{reward2, reward3 + var8}
set{reward, reward2 + var13}
add column reward

/*DITTO FOR LOSS*/
set{wloop, daily low - daily open}
set{Long_loss, wloop / daily open }

set{Loss_1wk, count(Long_Loss < -.05, 5)}
set{Loss_2wkA, count(Long_Loss < -.05, 10)}
set{Loss_2wk, Loss_2wkA - Loss_1wk}
set{Loss_3wkA, count(Long_Loss < -.05, 15)}
set{Loss_3wk, Loss_3wkA - Loss_2wkA}
set{Loss_5wkA, count(Long_Loss < -.05, 25)}
set{Loss_5wk, Loss_5wkA - Loss_3wkA}
set{Loss_8wkA, count(Long_Loss < -.05, 40)}
set{Loss_8wk, Loss_8wkA - Loss_5wkA}
set{Loss_13wkA, count(Long_Loss < -.05, 65)}
set{Loss_13wk, Loss_13wkA - Loss_8WKA}

/*APPLY WEIGHTING FACTORS*/
set{loss1, loss_1wk * 1.0}
set{loss2, loss_2wk * 0.50}
set{loss3, loss_3wk * 0.333}
set{loss5, loss_5wk * 0.20}
set{loss8, loss_8wk * 0.125}
set{loss13, loss_13wk * 0.07692}

/*CREATE A WEIGHTED SUMMATION OF STOCK PERFORMANCE */
set{risk5, loss1 + loss2}
set{risk4, risk5 + loss3}
set{risk3, risk4 + loss5}
set{risk2, risk3 + loss8}
set{risk, risk2 + loss13}
add column risk

set{performance, reward - risk}
add column performance

/*SCREEN FOR THE STRONGEST CANDIDATES*/
daily close is above 2
average volume(30) above 500000
date offset 1
sort column 7 descending
add column 5_2wkA
add column 5_3wkA
add column 5_5wkA
add column 5_8wkA
add column 5_13wkA
add column Loss_13wkA
add column Average Day Range(10)
add column Williams %R(14)
and average day range(100) is above 3%
and performance is above 2


and market market is not OTCBB
and market is not ETF
and apply to sector(Aerospace)
and apply to sector(Auto-Tires-Trucks)
and apply to sector(Basic Materials)
and apply to sector(Business Services)
and apply to sector(Computer and Technology)
and apply to sector(Conglomerates)
and apply to sector(Construction)
and apply to sector(Consumer Discretionary)
and apply to sector(Consumer Staples)
and apply to sector(Finance)
and apply to sector(Industrial Products)
and apply to sector(Medical)
and apply to sector(Oils-Energy)
and apply to sector(Retail-Wholesale)
and apply to sector(Transportation)
and apply to sector(Utilities)


set{volcnt, count(volume above 50000, 100) }
set{volzero, count(volume equal 0, 100) }
set{x1, high - open}
set{Long_P, x1/open }
set{C1A, count(Long_P > .04 , 100)}
set{C2A, count(Long_P > .09, 100)}
set{C0010, C1A - C2A}
set{D1A, count(Long_P > .09 , 100)}
set{D2A, count(Long_P > .19, 100)}
set{D1020, D1A - D2A}
set{E1A, count(Long_P > .19 , 100)}
set{E2A, count(Long_P > .29, 100)}
set{E2030, E1A - E2A}
set{F1A, count(Long_P > .29 , 100)}
set{F2A, count(Long_P > .39, 100)}
set{F3040, F1A - F2A}
set{G1A, count(Long_P > .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}
]



Here is my current day or really more like swing trading filter. I modified the Graftonian Filter that was posted here:http://www.stockfetcher.com/forums2/Filter-Exchange/5-A-WEEK-FILTER-BASED-ON-TRO-S-CROCK-POT/81139/320

I also added in from this filter here to better help see the stocks overall pops over a period of 100 trading days.
http://www.stockfetcher.com/forums2/Filter-Exchange/Run-Forest-Run/56077/0

I use tradingview to view the charts on each stock since I started using it first. My settings are pretty simple I have a CCI, OBV, and fisher indicator but they are all lagging so really they dont help that much. The biggest help in finding good trending stocks is to use 1HR Renko bars set to ATR(100). From there I can see which stocks are trending up or down. I typically look for stocks that are early on in their trend and not already established. That doesnt mean you can't make money on a stock that has already been trending up for a few weeks but I would like to get one early so I can either get out with profit or better handle pull backs. I just started using this filter this week and I picked up these tickers with it at open on Monday. AA, LL, BANC, LITE, MITK, and FSLR. BANC is the only loser and I got very close to selling it today but I did not. I am still working on setting stop losses or I should say finding a good method on setting one. Right now I think I am going to evaluate each stock at night and determine if I should sell or not the next day depending on price action. I bought at open on Monday but this is a day traded filter so you can buy any stock at any time.

I have two version of this filter the one that is posted above called "high risk" and a "lower risk" one, code seen below. The only difference is just what its filtering out. The high risk doesn't restrict higher risk stocks while the lower one does.

please take a look and ask any questions and i will do the best to answer. If I am not mistake TRO=Holygrail=FOUR so he would know more about the bones of this then I would but I have put some time into it. (Also Kevin of course)

This is the code that is added to the "lower risk" filter:

and Williams %R(14) increasing past 1 days
and CCI(20) increasing past 1 days
and performance is above -0.01
and Loss_13wkA is below 3

Filter Exchange · Day Trading Modified Filter from previous Authors (noted in Post)
selfhigh05
msg #135879
5/12/2017 7:54:27 PM


Replace the entire /*SCREEN FOR THE STRONGEST CANDIDATES*/ section with this and get a variation of the post from below. I havent had much time to test this guy out yet but at first glance appears to be decent once the stock bottoms out.

/*SCREEN FOR THE STRONGEST CANDIDATES*/
set{vol%, volume/average volume(10)}
daily close is above 2
average volume(30) above 500000
date offset
sort column 7 descending
add column 5_2wkA
add column 5_3wkA
add column 5_5wkA
add column 5_8wkA
add column 5_13wkA
add column Loss_13wkA
add column Aroon Oscillator(25)
add column Average Day Range(10)
add column Williams %R(14)
add column vol%
add column rsi (2)
and average day range(100) is above 1%
and performance is above -0.01
and rsi(2) is below 15
and vol% is below 1
and C0010 is above 9
and Loss_13wkA is below 5

http://www.stockfetcher.com/forums2/Filter-Exchange/the-best-0f-the-mm-manipulation/29525/-1/29549

Filter Exchange · How to filter out Industry - Mining
selfhigh05
msg #139087
11/5/2017 12:35:37 PM

I want to filter out and have Mining stocks not appear in my filter how do I do that. I have tried

And no apply Industry(mining-gold), I've tried no Industry-mining as well. Any help would be greatly appreciated. thanks

Filter Exchange · How to filter out Industry - Mining
selfhigh05
msg #139104
11/6/2017 7:15:03 AM

so how would I filter the miner out, I dont want them to show up? I guess I could add each industry and then comment miners out. I was just hoping for a No statement of some sorts. Thanks

Filter Exchange · How to filter out Industry - Mining
selfhigh05
msg #139106
11/6/2017 8:23:39 AM

I just commented out mining after putting this together:

apply to industry (Advertising Marketing Services)
apply to industry (Aerospace - Defense)
apply to industry (Aerospace - Defense Equipment)
apply to industry (Agriculture Operations)
apply to industry (Agriculture Products)
apply to industry (Appliances - Household)
apply to industry (Auction Valuation Services)
apply to industry (Audio And Video Products)
apply to industry (Auto - Domestic)
apply to industry (Auto - Foreign)
apply to industry (Auto - Truck Original Parts)
apply to industry (Auto - Truck Replacement Parts)
apply to industry (Banks - Foreign)
apply to industry (Banks - Major Regional)
apply to industry (Banks - Midwest)
apply to industry (Banks - Northeast)
apply to industry (Banks - Southeast)
apply to industry (Banks - Southwest)
apply to industry (Banks - West)
apply to industry (Beverages - Alcohol)
apply to industry (Beverages - Soft)
apply to industry (Biofuels)
apply to industry (Broadcast - Radio And Tv)
apply to industry (Building - Cmt And Cnt And Ag)
apply to industry (Building - Heavy Construction)
apply to industry (Building - Maint And Service)
apply to industry (Building - Mobile Homes And Rv)
apply to industry (Building - Residential And Comm)
apply to industry (Building And Construction - Misc)
apply to industry (Building Products - Air Heating)
apply to industry (Building Products - Ltg Fx)
apply to industry (Building Products - Wood)
apply to industry (Building Products Retail - Wholesale)
apply to industry (Business Information)
apply to industry (Business Office Products)
apply to industry (Business Services)
apply to industry (Business Software Services)
apply to industry (Cable Tv)
apply to industry (Chemical - Diversified)
apply to industry (Chemical - Plastics)
apply to industry (Chemical - Specialty)
apply to industry (Coal)
apply to industry (Communication Network Software)
apply to industry (Communications Components)
apply to industry (Communications Infrastructure)
apply to industry (Computer - Integrated Systems)
apply to industry (Computer - Mainframe)
apply to industry (Computer - Mini)
apply to industry (Computer - Networks)
apply to industry (Computer - Optical)
apply to industry (Computer - Services)
apply to industry (Computer - Software)
apply to industry (Computer - Storage Devices)
apply to industry (Computers - Peripheral Equipment)
apply to industry (Conglomerates - Div Operations)
apply to industry (Consulting)
apply to industry (Consumer Products - Misc Discretionary)
apply to industry (Consumer Products - Misc Staple)
apply to industry (Consumer Services - Misc)
apply to industry (Containers - Metal And Glass)
apply to industry (Containers - Paper Products)
apply to industry (Cosmetics And Toiletries)
apply to industry (Diversified Comm Services)
apply to industry (E&p Mlp)
apply to industry (Electrical - Manufacturing)
apply to industry (Electrical Construction)
apply to industry (Electrical Power)
apply to industry (Electronic Manufacturing)
apply to industry (Electronic Misc Services)
apply to industry (Electronic Test Equipment)
apply to industry (Electronics - Connectors)
apply to industry (Electronics - Measuring Inst)
apply to industry (Electronics - Military)
apply to industry (Electronics - Misc Components)
apply to industry (Electronics - Parts Distrib)
apply to industry (Electronics - Semiconductors)
apply to industry (Electronics Products - Misc)
apply to industry (Emerging Markets Integrated)
apply to industry (Engineering And R&d Services)
apply to industry (Engines - Internal Combustion)
apply to industry (Fertilizers)
apply to industry (Fiber Optics)
apply to industry (Finance - Consumer Loans)
apply to industry (Finance - Investment Brokers)
apply to industry (Finance - Investment Funds)
apply to industry (Finance - Investment Mgmt)
apply to industry (Finance - Leasing Companies)
apply to industry (Finance - Misc Services)
apply to industry (Finance - Mortgage And Rel Svs)
apply to industry (Finance - Savings And Loan)
apply to industry (Finance - Sbic And Commercial)
apply to industry (Financial Transaction Services)
apply to industry (Food - Confectionery)
apply to industry (Food - Dairy Products)
apply to industry (Food - Meat Products)
apply to industry (Food - Misc And Diversified)
apply to industry (Food Items - Wholesale)
apply to industry (Funeral Services And Related)
apply to industry (Furniture)
apply to industry (Gaming)
apply to industry (Glass Products)
apply to industry (Government Services)
apply to industry (Hotels And Motels)
apply to industry (Indices)
apply to industry (Industrial Controls)
apply to industry (Industrial Robotics)
apply to industry (Industrial Scientific)
apply to industry (Industrial Services)
apply to industry (Insurance - Accident And Health)
apply to industry (Insurance - Brokers)
apply to industry (Insurance - Life)
apply to industry (Insurance - Multi Line)
apply to industry (Insurance - Property And Casualty)
apply to industry (International E&p)
apply to industry (Internet - Content)
apply to industry (Internet - Services)
apply to industry (Internet - Software)
apply to industry (Internet Commerce)
apply to industry (Internet Services - Delivery)
apply to industry (Internet Software Services)
apply to industry (It Services)
apply to industry (Large Cap Pharma)
apply to industry (Lasers - Systems And Components)
apply to industry (Leisure And Recreation Services)
apply to industry (Leisure And Recreational Products)
apply to industry (Machinery - Construct And Mining)
apply to industry (Machinery - Elect Utilities)
apply to industry (Machinery - Electrical)
apply to industry (Machinery - Farm)
apply to industry (Machinery - General Industrial)
apply to industry (Machinery - Material Handling)
apply to industry (Machinery - Printing)
apply to industry (Machinery - Thermal Processing)
apply to industry (Machinery - Tools And Related)
apply to industry (Media Conglomerates)
apply to industry (Medical - Biomedical)
apply to industry (Medical - Dental Suppliers)
apply to industry (Medical - Drugs)
apply to industry (Medical - Generic Drugs)
apply to industry (Medical - Hmo)
apply to industry (Medical - Hospitals)
apply to industry (Medical - Nursing Homes)
apply to industry (Medical - Outpatient And Hm Care)
apply to industry (Medical Information Systems)
apply to industry (Medical Instruments)
apply to industry (Medical Products)
apply to industry (Medical Services)
apply to industry (Metal Production And Fabrication)
apply to industry (Metal Products - Distribution)
apply to industry (Metal Products - Fasteners)
apply to industry (Mining - Gold)
apply to industry (Mining - Iron)
apply to industry (Mining - Misc)
apply to industry (Mining - Non Ferrous)
apply to industry (Mining - Silver)
apply to industry (Movie And Tv Production And Dist)
apply to industry (Nanotechnology)
apply to industry (Office Automation And Equipment)
apply to industry (Office Supply And Forms)
apply to industry (Oil - Exploration And Product)
apply to industry (Oil - Integrated)
apply to industry (Oil - Field Services)
apply to industry (Oil - International Integrated)
apply to industry (Oil - International Specialty)
apply to industry (Oil - Production And Pipeline)
apply to industry (Oil - Refining And Marketing)
apply to industry (Oil - Us Exploration And Product)
apply to industry (Oil - Us Integrated)
apply to industry (Oil - Us Royalty Trusts)
apply to industry (Oil And Gas - Drilling)
apply to industry (Oil Field Machinery And Equip)
apply to industry (Oil Gas Prod Pipeline Mlp)
apply to industry (Oil Refining And Marketing Mlp)
apply to industry (Other Alt Energy)
apply to industry (Outsourcing)
apply to industry (Paint And Related Products)
apply to industry (Paper And Related Products)
apply to industry (Pollution Controls)
apply to industry (Precious Metals And Jewelry)
apply to industry (Printing - Commercial)
apply to industry (Protection - Safety)
apply to industry (Publishing - Books)
apply to industry (Publishing - Newspapers)
apply to industry (Publishing - Periodicals)
apply to industry (Real Estate Developers)
apply to industry (Real Estate Operations)
apply to industry (Reit - Equity Trust Other)
apply to industry (Reit - Equity Trust Resident)
apply to industry (Reit - Equity Trust Retail)
apply to industry (Reit - Mortgage Trusts)
apply to industry (Retail - Apparel And Shoes)
apply to industry (Retail - Catalog Shopping)
apply to industry (Retail - Consumer Electronics)
apply to industry (Retail - Convenience Stores)
apply to industry (Retail - Discount)
apply to industry (Retail - Drug Stores)
apply to industry (Retail - Home Furniture)
apply to industry (Retail - Jewelry)
apply to industry (Retail - Mail Order)
apply to industry (Retail - Major Dept Stores)
apply to industry (Retail - Misc And Diversified)
apply to industry (Retail - Regional Dept Stores)
apply to industry (Retail - Restaurants)
apply to industry (Retail - Supermarket)
apply to industry (Retail - Wholesale Auto And Trucks)
apply to industry (Retail - Wholesale Auto Parts)
apply to industry (Retail - Wholesale Computers)
apply to industry (Rubber And Plastics)
apply to industry (Rubber Tires)
apply to industry (Satellite Communication)
apply to industry (Schools)
apply to industry (Securities Exchanges)
apply to industry (Semi Analog And Mixed)
apply to industry (Semi Communications)
apply to industry (Semi Discretes)
apply to industry (Semi Fab Foundries)
apply to industry (Semi General)
apply to industry (Semi Graphical)
apply to industry (Semi Memory)
apply to industry (Semi Power)
apply to industry (Semi Pro Logic Devices)
apply to industry (Semi Radio Frequency)
apply to industry (Semi-eqpt Material Services)
apply to industry (Semi-eqpt Photomask)
apply to industry (Semi-eqpt Wafer Companies)
apply to industry (Semi-eqpt Wafer Fabrication)
apply to industry (Shoes And Related Apparel)
apply to industry (Soap And Cleaning Products)
apply to industry (Solar)
apply to industry (Staffing)
apply to industry (Steel - Pipe And Tube)
apply to industry (Steel - Producers)
apply to industry (Steel - Specialty)
apply to industry (Technology Services)
apply to industry (Textile - Apparel)
apply to industry (Textile - Home Furnishings)
apply to industry (Textile - Products)
apply to industry (Tobacco)
apply to industry (Tools - Hand Held)
apply to industry (Toys And Game And Hobby)
apply to industry (Transportation - Air Freight)
apply to industry (Transportation - Airline)
apply to industry (Transportation - Equip And Lease)
apply to industry (Transportation - Rail)
apply to industry (Transportation - Services)
apply to industry (Transportation - Ship)
apply to industry (Transportation - Truck)
apply to industry (Unclassified)
apply to industry (Uniform And Related)
apply to industry (Utility - Electric Power)
apply to industry (Utility - Gas Distribution)
apply to industry (Utility - Water Supply)
apply to industry (Waste Removal Svcs)
apply to industry (Wire And Cable Products)
apply to industry (Wireless Equipment)
apply to industry (Wireless National)
apply to industry (Wireless Non-us)
apply to industry (Wireline National)
apply to industry (Wireline Non-us)
apply to industry (Wireline Regional)



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