/biz/ - Business & Finance

>>24269050
CUTE

>>22665150
>>22665359

you're just posting cope because you can't cook and/or you don't have a wife to cook for you

>>19967523
>I like milk, classical and electronic music
nice I like those things as well

what divvy stocks are you holding?
do you really believe that a Chinese person can become "Americanized"?

also learn to cook before worrying about thots
what the hell, you are way too old to not know how to cook
the 9 hours that you spent staring at a wall, you could have been cooking

>>19316577
nice
you should have gotten a bigger one though

>>19316580
>authentic Mexican food vs. Americanized Mexican food
I like both 2bh
so good, so good

>>19316609
nah Jet's is fantastic
what did you have that you thought was better though, I'll check it out

>>15015800
your best bet is to try and find someone in mexico that you can trust who is financially literate to help you out before trusting me
good luck, remember to invest in companies that will profit from the construction of the wall

>>15015843
Elon you should be asking your lawyers this, not posting about it on /smg/
the short thing to say is: if you want to IPO a company you have to fill out a lot of paperwork and get approval
an easier route would be to somehow force a space-X payout, meaning to initiate a one-time dividend payout based on the company's cash holding and then use that money to fund TSLA
but the investors of SpaceX would probably riot (even though many are invested in both)

basically you aren't getting away with it
you have to make TSLA succeed on their own, they've had enough free passes so far

>>14684047
my bad dude I sold you those.
My real strategy (I learned in the mountains from the warrior monk traders) is SBWOCP
Sell Baggie Wild Options and Collect Premium

sorry you had to find out like this
for real this strategy is free money though you should try it. just do an inverse DOMSCUMM and pretty soon you'll be a multimillionaire joining me in the yacht club as I set sail on fair lady SBWOCP

>>14021819
you could do a more elastic points system

IE, say a P/E of 15 is 5 points, with normal distribution or linear +/- for higher or lower

then do that with all your parameters.

basically, get a huge pool of numbers for all your parameters, then do a normal/gaussian fit FOR EACH ONE INDIVIDUALLY, then assign a point distribution based on the real market distributions

does it make sense? let me know if I should re-phrase anything
some websites already do this kind of thing where they give scores for each parameter then give an aggregate score, so oyu'd just be re-creating that, but you can tweak it how you like

with that much data input though, there will probably be errors in your underlying dataset

but basically, just doing hard static cutoffs at generic round-number scores is a pretty basic and limited way to do things, you want to be a little more fluid than that. :)

Even without doing the broad-market pool analysis to get normal distributions for all stocks, you can still make a point system with just parameters from a smaller basket of stocks. That still gives you the most important point, that way you don't risk cutting out something good if it's PE is 15.0001and all it's other stats are juicy nice nice (for example)

I'm not super big into numbers though, that's some nerd shit
there are already a million nerds who are paid to look at those numbers, they already price all that slow moving value stuff in
I find my stocks by reading patterns in fat girls' thighs, it's like fortune telling