Bull gang represent
WFC-C logo

WFC-C

Wells Fargo & Co. - 4.375% PRF PERPETUAL USD 25 - Class A Ser CC

Price Data Unavailable

About Wells Fargo & Co. - 4.375% PRF PERPETUAL USD 25 - Class A Ser CC

View all WallStreetBets trending stocks

Premarket Buzz
5
Comments today 12am to 9:30am EST


Comment Volume (7 days)
76
Total Comments on WallstreetBets

69
Total Comments on 4chan's biz

View all WallStreetBets trending stocks

Recent Comments

Goog 327.5 c for mid dec aquired
Most folks dont know that the majority of insider trading doesn't even result in profit. One hilarious case was at intel a C suite exec not only traded on insider info but had his brother and family in on it, all of them got busted, with the cherry on top being that they lost money haha
Too long, and it's not actually a good thing. When you don't bust within 15min women usually think: A. They're ugly B. Their 😺 is trash, or C. I'm secretly gay when the real answer is D. All of the above.
This is one of those stupid busy weeks where I stop by the sub once a day to simply say >!🫲**PENIS**🫱!<. >\> c:\memes\pepe\walking_out.png
Fml bought meta 650 c yesterday and sold at open this morning!
yeah one is class A, the other class C
Thanks for your input on the matter. The ironic part is, when you want to do something precise and focused, like I don’t know surgery for instance, I would think that a surgeon wielding a scalpel would end up doing a better job at that then one wielding a Swiss Army knife. Don’t get me wrong a Swiss Army knife will help you a bit more if you’re lost in the woods than a scalpel for sure, but executing a specific precise procedure requires precise tools. If you’re focused with those tools you’re gonna have a better outcome 9 times outs out of 10 than the other guy using universal tools. Also this is not a schilling or FOMO reply, I got into GOOGL C a few years ago when they did the 1:3 split.
Dibs on Hi-C
Pytorch/tensorflow work with both CUDA and TPUs so this isn't really true... anyone worth their salt in the AI industry already knows pytorch and tensorflow, and maybe JAX. The main benefit of CUDA is that you can directly access low level GPU kernels via C++/CUDA, whereas for TPUs you must use high-level languages only like pytorch and JAX. However since TPUs are built only for matrix multiplication, whereas NVIDIA GPUs are built for general purpose compute, you don't actually need the low level access to TPUs like you do for NVIDIA GPUs.
I feel like this might be the equivalent of seeing a guy hit the jackpot at Casino and not being excited b/c he’s still down overall. But what do I know
View All

Next stock WFC-D

Previous stock WFC-A