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[Guide] Hal-hal esensial yang wajib dimiliki mahasiswa.

Selamat pagi! Salam mahasiswa!
Terinspirasi dari komen-komen di thread gua sebelumnya, gua ingin compile beberapa must-have tools, stuff, and websites untuk kalian yang baru saja jadi mahasiswa atau sedang menjalani studi.
Gue akan memisahkan ke beberapa kategori, yaitu Wajib Punya, Wajib Punya Untuk Anak [Jurusan], Boleh Punya, Cukup Tau, dan Jangan Pernah Sentuh. Dalam kategori tersebut akan diisi dengan kombinasi apps, website, dan alat-alat fisik. Untuk yang bersifat bajakan, sorry to say gua gak akan link di sini, kecuali Sci Hub atau Gen Lib.
Bagi redditor yang bukan anak psikologi, tolong bantuin gua ya dengan comment berisi suggestion kalian.

WAJIB PUNYA

  1. WhatsApp, LINE, dan sometimes Telegram. : Ya menurut lo aja deh, hari gini masih SMS?
  2. Flash drive : Get an 8GB stick, walaupun sekarang udah serba digital, kadang dosen masih minta print-out tugas. Plus, tukang fotokopi pasti sibuk dan gak ada waktu buka e-mail (walaupun ada), akan lebih praktis kalau data yang mau lo print atau submit pindahin dulu ke sini. Side note : Untuk anak DKV, Arsitektur, Desain Produk, Musik, dan Film, sepertinya kalian wajib beli external hard-drive minimal 500GB. Kalau bisa SSD ya, biar file terus protected (tapi agak mahal).
  3. Google Drive dan isinya (Sheets, Docs, Draw, Slides) : Lo akan mobile for most of your campus life, GDrive gunanya bukan hanya sebagai backup tapi sebagai base of operations dari perkuliahan lo. Separate folders into semesters, lalu di dalamnya bikin folder per matkul, dan di dalamnya pun ada folder buku, tugas, class notes, and etc.
  4. Google Calendar : Start planning through this app. Its highly underrated and I suggest you take time and learn how GCal works. Most people only use this after they started working, getting a head start is always better.
  5. Mendeley atau reference manager lain : Lu akan menghabiskan waktu 4 tahun baca artikel ilmiah, kadang mereka suka aneh formatting filenya kalo di-download dan mereka udah pasti gak appealing untuk di-save di laptop. Mendeley cuts off all of the problems and puts all of your references in one place. (Available on desktop and mobile)
  6. Google Scholar : Berhubungan dengan sebelumnya, Google Scholar akan menjadi wikipedia elu di perguruan tinggi. You will access this site almost every day in uni.
  7. Genesis Library : Adalah perpustakaan terlengkap di jagad internet. Gak usah beli textbook kalau lu gak mampu, download aja di sini.
    1. Side points : Perpusnas punya akses e-book gratis pula, mostly koleksi mereka ada di situ. Appnya bisa dicari di Google Play Store (iOS setau gua belom ada).
  8. Sci-hub : This is the scalpel of academia, the tool of a true mahasiswa. Sometimes lo akan ketemu artikel yang BAGUS, tapi sayang lo harus bayar ke publishernya. Nah, this bypasses that and you can have the PDF for FREEEEEEEEEEEEEEEEEEEEEEEEEE. Add extensionnya https://github.com/allanino/sci-hub-fy
  9. E-book manager like Calibre (for PC and iOS) and Aldiko (for Android) : Pretty self-explanatory karena most of the time mahasiswa tingkat awal itu gak tau cara manage folder di laptop.
  10. m-Banking app from your bank : Sekarang apa-apa sudah serba digital, belom lagi kalau lo butuh bayar-bayar atau patungan sama temen. Dengan adanya mbanking app, lo udah gak butuh ke ATM. Bahkan, sekarang mbanking bisa bayar ke OVO, Gopay, or Shoppee Pay lewat QRIS.
  11. Go-Jek or Grab (and OVO) : Kemana-mana dan bayar apa-apa lebih gampang.
  12. Kartu emoney, Flazz, Brizzi, dan sejenis : Silahkan beli salah satu dari kartu ini untuk kalian yang harus menggunakan moda transportasi seperti KRL atau Transjakarta. Plus, very handy untuk beli air putih di Indo/Alfamart. Kalau bisa yang satu jenis dengan bank kalian, agar top-up dapat dilakukan secara mudah di ATM atau app mbanking (bagi yang memiliki NFC hpnya)
  13. Cheap OEM earphones : You will have some solace from annoying pieces of shit when you're reading or doing assignments. Browse through any ecommerce site and search for "headset samsung/iphone grosir" and buy 10.
  14. Masker : Well, duh.
  15. Zoom/Skype/Hangouts/Microsoft Teams : Please check on your faculty's specification, sekarang lagi pandemi and I don't think you guys are going back to school any soon.
  16. Powerbank : Trust me, you will forget to charge your phone. One powerbank on the ready will be a life saver, especially during late nights.
  17. OpenOffice or LibreOffice : I do not condone the piracy of a certain word processing software. Get open-source and just relax. Alternatively, you can go all-out with Google's existing apps inside Drive.
  18. JASP : I also do not condone the piracy of a certain statistics software.
  19. Canva : Untuk anak-anak non-design yang gak bisa design, ditambah gak punya duit untuk hire designer (ya menurut lo), please take time to learn Canva. I would recommend GIMP a few years ago, but Canva has been gold standard of designing for non-designers.
  20. Sumatra Reader : Lighter and more superior version of Adobe Reader.
  21. 7zip : Lighter and superior version of WinRAR.
  22. CamScanner : For scanning documents. Available on iOS and Android
  23. Condoms : Just, bring it.
  24. Kartu Perpusnas
  25. MSDN : Kadang Microsoft kerjasama dengan kampus, check on your faculty.
  26. Tar tambah lagiiiii.......

WAJIB PUNYA UNTUK ANAK.....

Teknik
  1. Kalkulator scientific : Bisa cari di toko buku atau e-commerce. Get Texas Instrument or Casio.
  2. KOPI SACHET
  3. Meteran
  4. nanti kali ya
Arsitektur
  1. Kopi sachet yang banyak
  2. Kotak P3K
  3. Penggaris segitiga atau meteran
MIPA
  1. Graphic Calculator
Psikologi
  1. APA Publication Manual : Sebagai S.Psi gua akan menekankan PENTINGNYA MEMILIKI PDF INI DI SEMUA DEVICE ELU. Pelajarin dan cross-check semua style tulis dengan editorial style APA. Dosen PASTI BAKAL PERIKSA GAYA TULISAN ELU DENGAN APA.
  2. KBBI : Dosen Psikologi paling terkenal dengan penulisan dan artikulasi kata, tolong pelajari bentuk baku kata-kata bahasa kita.
  3. 3D Brain : Untuk bantu Psiko Abnormal dan Faal.
Hukum
  1. Buku KUHP dan KUHPER, e-book or printed.
  2. Black Law
  3. UU yang berkaitan dengan kelas, e-book or printed.
  4. Printer dengan tinta isi ulang alias nyuntik
CompSci, Teknik Informatika, or Sistem Informatika
  1. Git Student Pack

BOLEH PUNYA

  1. Spotify Premium : Check if your school is eligible for student discount! I do not condone using modified APK for Spotify Premium.
  2. Audacity : Boleh lah punya kalau mau coba-coba bikin podcast.
  3. Da Vinci Resolve : Kalian akan sewaktu-waktu dapet tugas buat edit video, either untuk kelas atau organisasi. Ini software open source yang lumayan powerful untuk editing.
  4. SSDs for laptops : This is me speaking from experience, you'll need this if your risk of being in an accident is high. Upgrading to an SSD is 0-1, not only you get great booting and transfer speeds, but your data is almost always protected if amit-amit ketabrak atau laptop kenapa-napa.
  5. Powerstrip : Ini bisa wajib, bisa enggak. Kadang berguna kalau kalian nugas di cafe, tapi kalian gak mati juga kalau gak punya.
  6. Write Monkey : Ini dapat meng-enhance pengalaman kalian menulis, gue menggunakan program ini saat skripsi. Fungsinya cuma satu : Biar nulis lebih enak. Cocok bagi yang jurusannya rajin ngetik. Again, lo gak akan mati kalo gak punya ini.
  7. Eventbrite : Cocok buat yang pengen cari group activities atau seminar gratisan.
  8. TIX.ID : For the time being, jangan ke bioskop dulu. Tapi TIX suka banyak promo buy1get1. Lumayan buat irit duit.
  9. Trello or Asana : Nah, sebenarnya ini wajib untuk orang kantoran (depends industrinya), tapi menurut gua kalau kalian coba aja pelajarin agile project management, mungkin performance group akan lebih naik. Ditambah ini lagi pandemi, nugas akan lebih gampang menurut gua dengan ini. Kakak-kakak yang udah kerja di kantor agile pasti bisa jelasin.
  10. Jobstreet, Kalibrr, JobsDB, Glints : For work opportunities.
  11. Halodoc : Truth be told, this app have saved my life multiple times. I would suggest a healthy diet, but having this on your phone will not hurt one bit.
  12. Pisau lipat Victorinox : Handy untuk yang berencana jadi anak alam atau bocah camping. But basically handy untuk segala situasi, sih.
  13. Aplikasi sekuritas : Bisa mulai belajar, setau gua macem MNC Sekuritas bisa mulai trading dengan Rp100.000.
  14. Discord : Lumayan handy untuk jadi basis chat angkatan. Tapi, mereka lebih cater ke gaming crowd, walaupun fiturnya sebagus Slack Enterprise, tapi entah kenapa susah banget penetrate mainstream user.
  15. To be added later...........

CUKUP TAU

  1. Netflix : Bisa patungan sama temen-temen. I don't suggest buy shady accounts.
  2. Premier League app : Seru loh bikin liga fantasy sama temen-temen.
  3. GrabKios : Lumayan bisa jual pulsa di kampus.
  4. Saran minum oleh theblackmandarin
  5. To be added later...........

JANGAN PERNAH SENTUH

  1. Kredivo dan any P2P lending app : Tolong banget jangan kejebur sama trap ini. Kalian masih mahasiswa, belom punya penghasilan tetap.
  2. PayTren or any other MLM apps : Idem
  3. Judi bola : Idem.
  4. Rokok : Idem
  5. Forex/Crypto : Idem
  6. Dota 2 : Udah gak usah sentuh.
  7. Mobile Legend : Buang-buang waktu push rank, IP lo gak naek juga.
  8. Amfetamin : Gak baek ngedrug muda-muda.
  9. Red Bull : Gak baek, bisa gak tidur.
  10. Kopi ABC/78C/botolan : Ini sama kayak Red Bull, udah pasti gak tidur.
  11. To be added later...........
Segitu dulu guys, tolong ya kakak-kakak yang sudah lulus mohon ditambah. Terima kasih!
EDIT 1 : Nambahin banyak BUANGET. Thanks mie-sedaap elonelon theblackmandarin debukosmik JanganLupaSkripsian didunianyata ysupr selemenesmilesuponme ichhassesommer ANJINGHARAM AnjingTerang lukuntul imamsupriadiBPK pm-me-your-nenen
submitted by roflpaladin to indonesia [link] [comments]

My girlfriend of 8 years admitted she cheated on me with a close friend (messy)

So, since I'm here I suppose I should give some backstory. This will probably get lengthy so ill put a tl;dr at the bottom.
I (M/23) started dating my (ex)girlfriend (We'll call her C; F/23) since sophomore year in high school. We were the textbook "high school sweethearts". Fast forward thru 6 years of good, bad and everything in between; having 2 two kids and dealing with a miscarriage, etc... we essentially were a married couple without the title, and we pretty much operated as such. (ironically enough i was planning on proposing to her the week after d-day..)
Now the last year or so me and C had been hanging out with one of my close friends (we'll call him J) and his girlfriend (S); who also have two kids together. Me and J had known each other for years, but hadn't talked much recently so it was cool to catch up; and S and my girlfriend C became friends quickly, as well as our children. At this point we are like family to each other, we went on vacations together, playdates, babysat for each other etc.
Now, the past few months before d-day, C started to show telltale signs of cheating (now that I look back).. but due to the fact that she has severe bipolar disorder which she is prescribed medication for (but she did not take it regularly), it was hard for me to fully gauge what was going on; because manic depressive episodes can exhibit wild symptoms that eerily align with cheating behavior (i know, i pick em great right). So I was concerned; but moreso for her mental well being, than for what I was about to discover in the near future.
Here's where things get hairy.
(D-Day) So I get ready leave the house to do uber eats. I do this part time to pay the bills, I've been learning to trade forex for the last few months so I needed something that could free up time. Anyway, before I leave C asks me for a kiss, I kiss her and the kids and then I head out... No less than 20 minutes after I left, I check my phone and see a string of messages from C, and then I get a call from her. When I answer the phone she's already crying. She tells me that about two months ago her and J fucked. She tells me that J told her I would run off and fuck other girls and meet up with them on some dating app on my phone. None of which is true, for the record. He essentially fed her a bunch of bullshit, and she blindly accepted it as truth. She claims she fucked him to get "revenge" at me for everything I ever "did" (even though as far as infidelity goes, I did nothing). C destroyed our relationship, family, and her friendship with S, all off of hearsay. J helped mastermind it all, and also destroyed our friendship, along with his relationship with S. Worst part is, I was hitting J up the 2 weeks before D-Day to chill, and he wouldn't even respond. Making me look like an even bigger clown. I reacted in pure rage, said some things I probably shouldn't have in the heat of the moment, and then told her to get her shit out of my house.
She of course at this point is hysterical and is screaming through tears for me to not leave her, that she wants to save our family, that it only happened once and there was no feelings involved beyond her trying to get back at me. At this point though I just don't know if I can believe it. both C and J disrespected me to the ABSOLUTE highest level, not only me but also S. They orchestrated a whole plan to make it happen and then hid it for 2 months. She did also come to me and admit it on her own. Not that that excuses it AT ALL, but my thinking is, in reality I could've found out in worse ways than her direct admission.
I'm so torn here reddit. I love this girl to death, and want nothing more than to save our family. I grew up in a split home and i saw and heard things I shouldn't have, and i remember the depression i went through during that time.. i dont want that for my kids..
BUT I also know that I've NEVER been betrayed like this before in my life, not only by an SO but a friend as well. I'm completely heartbroken, and I've had hurt in the past but I've never felt true heartbreak like I do right now. Im doing my best to avoid contacting her, but we have two kids so it makes it really hard at times.. ive been learning to focus on me, but I have to literally keep my mind preoccupied 110% of the time, or I start to go into the same thought loops about this whole situation :(.
Do I give the love of my life a second chance after something like this? For the sake of my family? I know I have zero trust for her, and i understand that if we EVER were to rekindle something in the future, it will be a long time, if ever before the pain goes away. it will not be the same as before, we will be starting from scratch. I just would like advice on if there's anything worth saving or not.
If so, what signs should I be looking for thats shes actually invested in making things right?
If not, how do i start this healing process and begin to move on from an 8 year investment and a now dysfunctional family? Because I'm so fucking lost right now guys.
Thanks for reading all the way to the end, I dropped tears writing this and any advice is appreciated.
**UPDATE 9/20
C is out out the house now. Ironically she's already moved into a new apartment. I'm not dumb and I know 9 times out of 10 you don't just find an new apartment in a single day.. maybe my paranoia but probably not honestly. Ive been avoiding contact with her beyond child related things.
I tried to contact S, but Ironically her phone was broken in the fight her and J had... she tried to message me on Facebook the night I found out to help her move her daughter dressed into a storage unit, but I was physically weak and couldn't even think of what to say in response at that time. Not that she did anything wrong at all. At this point S has removed herself from Facebook so I'm trying to figure out another way to get ahold of her to try to get extra insight. Will post another update if/when I get more details.
C tried to "shit test" me today, and since we're now apart i could see it blind as day. She FaceTimed me, I normally would've ignored but i can see my daughter on the preview so i answer. C claims the kids wanted to talk to me, but they seemed relatively uninterested when I tried. Which no big deal, but its what came next that was so weird. What im talking about is her making a comment on a new vape i just got. How it was "so cool" and she wanted to see me take a drag off it again. This is significant only because I KNOW from being with her for 8 years that it turns her on to see me do smoke tricks. That's just always been her. On top of that, she kept taking the camera off the kids, and trying to talk to me about things that happened in her day indirectly. I kept it brief and told her i was busy before she could drag it on.. WHY IS SHE DOING THIS? This is fucking with my head even more now..
ALSO today I was working on music and I went into my downloads folder and noticed something called "J's App". Its date modified is 8/11. This lines up with the timeline C gave me which made me sick to my stomach. I open it, fully prepared to find some type of cynical cheating app they were using to sneak around on me with...
Turns out its an application for some ged boot camp for high-school drop outs. This girl had the NERVE to let this fucking bum use my laptop to apply for this shit?! I now certainly question the length of their relationship and the details behind it. For now, im going to continue with space and avoiding contact but I will be sitting down with C next week to lay everything on the table. Full truths, full openness, adult discussion no kid games. At that point ill either have closure to know the truth (or as much as I can get of it), or know if there's any chance of redemption, which at this point has went from 25% to 5%.
Thank you all sooo much for your advice and support during this; Alot of hard pills to swallow right now but its what I need. You guys are foreal a family to me and I will be here to support anyone here, new or old thats ever had to feel the way i feel right now.
Tl;dr my girlfriend of 8 years and mother of my 2 kids had an ONS with my friend, who is(was) dating her best friend. Now she wants to work things out
submitted by iknowalotaboutdrugs to survivinginfidelity [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

Just built PC. What are the possibilities for productivity, money and fun?

I built my PC with the idea of becoming an Amazon seller (recently opened an account and have 5 sales, obviously nothing but it's a start), expanding from there where I can and also with some light gaming in mind.
I built it and was like, riiiight what do I do now... Going to purchase a product research tool. Watch some informative. videos.
I could learn a programming language, used to know a bit of HTML & CSS, or get back into graphic/Web design, build PCs... What are some other good and current options?
I know there's some legit survey sites where you can make money, but don't really think they're worth it. Any other good ways of making money I'm interested in. Dunno if forex is worth getting into. Bitcoin for sure.
Plan to download and play Steam of course.. Happy to take the best game recommendations..
Any programs / tools that are fairly profitable to learn? Like WordPress?
Any programs that you highly recommend?
Just kinda stuck with what to do minds all over lol.
Downloaded Firefox and some add-ons like Mozilla Color, spiced it up a bit.
submitted by indicamon to pcmasterrace [link] [comments]

Universal Bypass - Changelog

Universal Bypass

Changelog

403e242

32fce08

13.14.0

4efad54

13.13.1

fb4d832

13.13.0

970fd0c

13.12.4

13.12.3

e683d2e

13.12.2

d3af8c5

13.12.1

4eb5057

13.12.0

13.11.3

268aa5a

13.11.2

2f8dfbd

13.11.1

5630ad1

13.11.0

ecf59ee

13.10.3

13.10.2

fc95789

13.10.1

4e02ff7

13.10

c3fc857

13.9

cac4de7

13.8.5

13.8.4

8d38fd9

13.8.3

825167d

13.8.2

aedb2fe

13.8.1

ea9921b

13.8

2a0b327

13.7

7dbafa1

13.6.2

c993457

13.6.1

f612f04

13.6

35e1206

13.5.1

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7d7a91b

13.4

4e8c2d0

13.3

7adc74e

13.2.1

13.2

5cb0e9f

13.1

df11aaf

13.0.1

9166983

13.0 — The Design Update

53e92b2

12.9.2

20c7c99

12.9.1

3816a8b

12.9

1dfbe81

12.8

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12.7

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08b001d

12.3

d83acea

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d183ae7

12.1

2793696

12.0.1

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12.0 — The Updated Update

11.19.1

11.19

11.18

11.17.2

11.17.1

11.17

11.16

11.15

11.14

11.13

11.12

11.11.1

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11.6

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11.4.3

11.4.2

11.4.1

11.4

11.3

11.2

11.1

11.0 — The Timed Update

10.47

10.46

10.45

10.44.1

10.44

10.43

10.42

10.41

10.40

10.39

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10.19.1

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10.18

submitted by Hakorr to UniversalBypass [link] [comments]

Factset DD

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.

P/E has declined in the past 2 years, making it a great time to buy.

Increasing ROE despite lowering of leverage post 2016

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
submitted by WannabeStonks69 to investing [link] [comments]

Built PC, what are the possibilities for productivity, fun & money?

I built my PC with the idea of becoming an Amazon seller (recently opened an account and have 5 sales, obviously nothing but it's a start), expanding from there where I can and also with some light gaming in mind.
I built it and was like, riiiight what do I do now... Going to purchase a product research tool. Watch some informative. videos.
I could learn a programming language, used to know a bit of HTML & CSS, or get back into graphic/Web design, build PCs... What are some other good and current options?
I know there's some legit survey sites where you can make money, but don't really think they're worth it. Any other good ways of making money I'm interested in. Dunno if forex is worth getting into. Bitcoin for sure.
Plan to download and play Steam of course.. Happy to take the best game recommendations..
Any programs / tools that are fairly profitable to learn? Like WordPress?
Any programs that you highly recommend?
Just kinda stuck with what to do minds all over lol.
Downloaded Firefox and some add-ons like Mozilla Color, spiced it up a bit.
I
submitted by indicamon to buildapc [link] [comments]

on the fakeness of the internet

funny to see that subject pop up again. it was what drove me insane enough to find this sub in the first place.
at any rate, the problem is not the bots. I thought it was, but those are just part of the parasitic ecosystem.
but to get that, first we need to take a few steps back on web history, ad serving, UX, tracking technology and media advertising.
too lazy to gather links, but you know, do your googlin'.
I assume that most of you are fairly web literate here, but I'll try to go down into the bare bones as much as possible for those who aren't.
so let's start with a basic question - what is a web visitor anyway?
from the standpoint of a normal person, that would be a person browsing a given website or piece of content. from the standpoint of technology however all you know is that some device has downloaded content from your server using the http protocol. thanks to the wonderful technology of web browsers, you can plant browser cookies on a visitor - stuff that's used to remember if they logged in, what their preferences are, stuff that your service can read from the device. it also serves usually very basic telemetry like last visit time, session time, and so on.
this, over time has evolved in what we call browser fingerprinting, a convoluted bunch of technology that allows websites and web services to uniquely identify you.
it still doesn't know if you're a human or not, but from the standpoint of the web technology, you're a visitor.
now back in ye old days of the web, when the first banner ads were springing up, these were important questions. most consumers were still to be reached on traditional media channels, and ad spend would have to be justified somehow on the risky ventures of online business. so beyond traditional polls that would infer the value of visitors, websites would start tracking number of visitors, time on page and so on. these were used to milk the advertising cow so to speak, and it gave in to some funny developments like the creation of the popup ad - if I recon correctly on geocities, where they would just but the ads everywhere until some big auto company noticed that they're appearing on porn sites. so - put the ad in the popup, and you can claim it's not in the context of porn!
around this point in time the online ad business is still pretty low tech. you actually have to call a physical human being, they send you ppts and pdfs, you send back image files and excel sheets, you wire money, the ads run, and so on. this is called direct sales, and it's tracked again by counting a bunch of visitors, and telling you how much impressions and clicks your marvelous creatives and ad budget generated.
now enter google - or more precisely, a technology firm called doubleclick that was to be acquired by google. they developed a tool for automatic ad serving, later to be called programmatic advertising, that keeps the pesky sales dude out of the loop and achieves reasonable amounts of scale for a more hefty price - after all, if the sales are automated, you get a bidding war for attention between different advertisers, and you're paying for clicks.
so you can see how this was a strategic move for google - they already had the most valuable data available in this situation. they were seeing in real time what people were searching for, and using the programmatic ad serving system, you could effectively bid not just for general attention - but for attention with an intent to buy.
...and the way that google got this data is because they indexed the web, using bots. at least GoogleBot would identify itself as a site visitor, but in the meantime they developed a service for websites to comprehensively track their own visitors and where they were coming from and what they were doing on your website. incidentally, you could also put on google's ads on your webpage to earn quite a bit of money, as content relevant ads would be shown through the doubleclick system.
this kicked off two things:
one, the ability to classify your website visitors into different clusters and segments allowed businesses to start tailoring the appearance of the website or service to fit that specific audience segment, starting off the great fracture - segmentation of the web (in the sense that two people viewing the same website at the same time were not seeing the same thing)
two, it created a very strong financial incentive for people to trick google into thinking they were having actual human visitors that would click on ads, when in fact they were bots. in an even funnier twist, some of them were from browser hijackers, commonly known as malware at the time, which google cross-financed. look up download valley and crossrider.
at the cross section of the above two, you had one interesting twist: websites that would appear differently to the security bots or the compliance officers of Google as they would to fake visitors or malware jacked human beings. the former would get a benign looking website, while the latter would get bombarded with auto clicking ads.
this kicked off the billion dollar arms race called online advertising fraud.
I'm not here to shed a tear for big money corps bleeding money. the real fallout lay somewhere else, but for that you have to understand that you never really saw the real internet, you only saw your corner and the one that was personalized for you.
but if you ever had the pleasure of watching daytime TVs or off channels and witnessing the ads, you could kind of infer what kind of audience must be watching these shows generally. from quite clear rip offs to magic number lotteries and television fortune telling, these sorts of programming was aimed at the most gullible, bought for pennies, where the smallest audience portion had to be converted into a money making operation.
...and with audience segmentation and data gathering, that was now possible at unprecedented scale, automatically. so big was the scale in fact, that it gave birth to an entire new beast of an industry called affiliate marketing, where instead of a regular payroll, you'd get a cut of the sale should you figure out an angle on where to push whatever fucking bullshit the vendors were offering to whoever the fuck would be dumb enough to click on an ad and buy. (the funniest story I recall was someone pulling five figures a month because he figured out that if you buy ads on anime-hentai pages and sell PUA shit courses and e-books you'd make a killing)
at any rate, affiliate marketing brought with it the killer landing page, the thing that's supposed to hammer the nail in the coffin once you get through the banner ad. the earliest form of deceptiveness in memory comes from various pirate sites, that had fake download buttons as banner ads and virus alerts as the landing pages. but then at some point, some schmuck realized that for certain type of products, like diet pills or forex trading or whatever, the best lander is in fact a fake news page that comes packed with comments and all. that would convert like crazy, because it had the appearance of social proof.
until at least the lawsuits came raining down, and these sorts of landing pages and campaigns for being banned left right and centre on all platforms. which just launched a new arms race as the campaigns would be disguised for the bots doing the checkups, and aged facebook profiles would start selling for like 5K USD - these people were making 30-40k a day, they could afford to spend that much to continue running the shop.
speaking of facebook - it came just about the right time for the shit to brew max total. first they were unprecedented in the amount of data they were getting off of their users, and they came just in time to catch the full swing of what we call the 'responsive web' - that no user at the same time would see the same thing on their page, it was all allocated through an intricate web of recommendations, running real time, based on previously gathered and forecast behavioral data.
it also ran on one simple premise: take over the starting page position from google for most people, then they do not have to justify, ever, any ad spend that takes place on their platform, as long as it performs. furthermore, it was completely lacking any revenue share sort of scheme (save for the short period of facebook gaming, see Zynga), thus there was no incentive for the amount of bot traffic that the previous internet era had bred. instead, it came with an entirely different one - bots that would offer social proof in the way of shares and likes, but would not directly risk the business model, thus giving no incentive for facebook to fight them. (note that google didn't do much jack shit either besides indiscriminately penalizing websites it deemed suspicious when they reached critical payout thresholds)
the rest of the story you kind of sort of know. how the obama campaign was brilliant in using the new social media to inspire hope and blah blah blah, kicking the door open for big money politics who could hire the best snake oil salesmen in the market, who had the data and as you can see from the above, had the ethical standards of a shoe. at around 2014-2015 the press (the mainstream media) started to raise question about the duopoly, the buzzword of filter bubbles started appearing, not entirely unrelated to the fact that facebook by this time cannibalized their traffic with a fucking embedded share / like button and started charging money for them to reach their own audience. after 2016 the cries of fake news were everywhere, because there was no online space left which everyone was viewing the same way, and you had no way to verify what the person next to you was looking at.
since then, we've all become grandpa yelling at the television set, with nobody around us seeing what we're seeing on the screen, so we're being accused as bots and looking for bots under the carpet.
but it's been a long way coming, and the bots are honestly the least of our worries. trust me, I went bankrupt over that one. truth or fake doesn't even begin to describe the magnitude of the problem: more like we entered the phase where every word, event or picture is defined by who ever the fuck wins the auction over it, as the marketers of human attention grind the gears of the money mill without even understanding how fast they're digging towards hell.
don't believe me? look around the marketing and advertising related subs these days. the priests are eating the indulgences, and we're only now entering the period of deep fakes, good algo generated audio and good enough NLP. and in the meantime, the shadowrunners running up between two corp headquarter-highrises are skinning your belief systems.
so the best you can do is really, not litter the remnants of cyberspace which are not being mined, astroturfed or being pulled apart by the algos. no human connections on a nuclear trash heap mate.
submitted by gergo_v to sorceryofthespectacle [link] [comments]

Dividend Discord chat server.. 1460+ dividend investors on it

Hi all,
I created a Discord chat server focused on dividend investing as a place where you can type (and/or talk) real-time with other investors (as well as people interested in becoming investors).
Our 1469th investor just joined a few moments ago.
We have folks in there with decades of experience that became millionaires through investing and people who have never invested and are just interested to learn, and everything in between... From teenagers to people in their 70s from all around the world including China, Croatia, Cyprus, Kuwait, Romania, Finland, Bulgaria, Sweden, Germany, Canada, Belgium, China, Singapore, Israel, England, Australia, Greece, Switzerland, and others.
We have a general chat channel that is basically for normal bs’ing, and then we have specific channels for dividend stocks and well as non-dividend stocks, and investing channels for ETFs & Mutual funds, Crypto, Commodities, Real Estate, and Forex. We also have a channel for talking about your portfolio & watchlist.
I've also created a channel for dividend alerts which automatically posts dividend cuts or increases which attempts to keep people informed as soon as the information is out there, as well as an automated investing news channel which posts investing articles as they come out, and an automated channel for breaking world news as it comes out.
There are also channels for movies & tv & books, politics, video games, general news, politics, sports, health & fitness, and a Polls channel (to optionally query people's thoughts on a variety of topics). This way we keep investing separate from others topics. I and my friend moderate it to keep topics aligned to channels, and to minimize self promotion or toxic individuals.
Feel free to check it out and chat with others, or come and just lurk :)
https://discord.gg/kkSr5FY
For those that are unfamiliar, Discord is just a free chat service that people use for text (and voice) persistent group communication. You can access it via your browser using the link above, or you can download a smartphone app and type in kkSr5FY in the invite field.
Of course, none of the information should be taken as financial advice that you act on without doing your own research.
submitted by GenXDividendInvestor to dividends [link] [comments]

Dividend Discord server.. 1750+ dividend investors on it

Hi all,
I created a Dividend Discord chat server focused on dividend investing as a place where you can type (and/or talk) real-time with other investors (as well as people interested in becoming investors).
Our 1755th investor just joined a few moments ago.
We have folks in there with decades of experience that became millionaires through investing and people who have never invested and are just interested to learn, and everything in between... From teenagers to people in their 70s from all around the world including China, Croatia, Cyprus, Kuwait, Romania, Finland, Bulgaria, Sweden, Germany, Canada, Belgium, China, Singapore, Israel, England, Australia, Greece, Switzerland, and others.
We have a general chat channel that is basically for normal bs’ing, and then we have specific channels for dividend stocks and well as non-dividend stocks, and investing channels for ETFs & Mutual funds, Crypto, Commodities, Real Estate, and Forex. We also have a channel for talking about your portfolio & watchlist.
I've also created a channel for dividend alerts which automatically posts dividend cuts or increases which attempts to keep people informed as soon as the information is out there, as well as an automated investing news channel which posts investing articles as they come out, and an automated channel for breaking world news as it comes out.
There are also channels for movies & tv & books, politics, video games, general news, politics, sports, health & fitness, and a Polls channel (to optionally query people's thoughts on a variety of topics). This way we keep investing separate from others topics. I and my friend moderate it to keep topics aligned to channels, and to minimize self promotion or toxic individuals.
Feel free to check it out and chat with others, or come and just lurk :)
https://discord.gg/kkSr5FY
For those that are unfamiliar, Discord is just a free chat service that people use for text (and voice) persistent group communication. You can access it via your browser using the link above, or you can download a smartphone app and type in kkSr5FY in the invite field.
Of course, none of the information should be taken as financial advice that you act on without doing your own research.
submitted by GenXDividendInvestor to dividend_investing [link] [comments]

MAME 0.215

MAME 0.215

A wild MAME 0.215 appears! Yes, another month has gone by, and it’s time to check out what’s new. On the arcade side, Taito’s incredibly rare 4-screen top-down racer Super Dead Heat is now playable! Joining its ranks are other rarities, such as the European release of Capcom‘s 19XX: The War Against Destiny, and a bootleg of Jaleco’s P-47 – The Freedom Fighter using a different sound system. We’ve got three newly supported Game & Watch titles: Lion, Manhole, and Spitball Sparky, as well as the crystal screen version of Super Mario Bros. Two new JAKKS Pacific TV games, Capcom 3-in-1 and Disney Princesses, have also been added.
Other improvements include several more protection microcontrollers dumped and emulated, the NCR Decision Mate V working (now including hard disk controllers), graphics fixes for the 68k-based SNK and Alpha Denshi games, and some graphical updates to the Super A'Can driver.
We’ve updated bgfx, adding preliminary Vulkan support. There are some issues we’re aware of, so if you run into issues, check our GitHub issues page to see if it’s already known, and report it if it isn’t. We’ve also improved support for building and running on Linux systems without X11.
You can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

MAME 0.214

MAME 0.214

With the end of September almost here, it’s time to see what goodies MAME 0.214 delivers. This month, we’ve got support for five more Nintendo Game & Watch titles (Fire, Flagman, Helmet, Judge and Vermin), four Chinese computers from the 1980s, and three Motorola CPU evaluation kits. Cassette support has been added or fixed for a number of systems, the Dragon Speech Synthesis module has been emulated, and the Dragon Sound Extension module has been fixed. Acorn Archimedes video, sound and joystick support has been greatly improved.
On the arcade side, remaining issues in Capcom CPS-3 video emulation have been resolved and CD images have been upgraded to CHD version 5, Sega versus cabinet billboard support has been added to relevant games, and long-standing issues with music tempo in Data East games have been worked around.
Of course, you can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

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El Mejor Simulador Forex Gratis - YouTube Using a FREE forex simulator - YouTube Best Forex Trading App's for Beginners (TOP 5) - YouTube Forex Game Chanale - YouTube

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El Mejor Simulador Forex Gratis - YouTube

Change the way you trade Forex, and you might change your whole life. 😎 From - to + in your account in no time. 👏 The future is mobile 📱, so prepare yourself... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. All information on this site is for Educational purposes Only. Trading involves substantial risk and losses may occur. All trading strategies are to be used ... In order to access this free simulator, visit http://forexsimulator.org. To learn more about my trading strategy, visit https://fibsdontlie.getlearnworlds.co... Link del Simulador http://soft4fx.com/software.php Mi correo [email protected] hey welcome everybody to the - nightsword-channel u will see awesome videos of gaming and my dream is to get 1.000.000 subscribers... lol... 😱 so dont forget... How to Trade Forex Using MetaTrader 4. Make Money From Your Phone! MT4 Walkthrough. - Duration: 15:01. RockStarrFX 483,354 views

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