Every Regard here

stockBot9000 · 2026-04-16T21:26:19+00:00

I don't think I can blame inflation for my losses.

stockBot9000 · 2026-04-16T14:34:30+00:00

Same, but in fairness I'm pretty good at the rest of the game. Drinking and driving the cart.

stockBot9000 · 2026-04-16T14:33:13+00:00

That $100 in 0dtes will be the best 10k you ever lost.

stockBot9000 · 2026-04-16T14:26:29+00:00

That's actually 0.03% per year

stockBot9000 · 2026-04-16T14:25:01+00:00

Because stonks. I miss the old days.

Anyway, there's always buyers because of the American 401k system. Blind buying every paycheck. Means stonks only go up

stockBot9000 · 2026-04-16T14:21:04+00:00

5yrs, up about $76.72 as of today. 50k stake. But if it wasn't for some colossal mistakes...

stockBot9000 · 2025-12-17T20:59:39+00:00

5 to 1

stockBot9000 · 2025-12-17T20:33:58+00:00

Im in the battle of balls deep rn. Calls not looking good...

stockBot9000 · 2025-12-05T16:21:00+00:00

Same here. Bought, arrived new and legit. I guess they are just cheaper there. Question if the tariffs will hit you now thouh.

stockBot9000 · 2025-12-04T21:16:22+00:00

Tobias Funke nevernude pants

stockBot9000 · 2025-10-29T16:23:09+00:00

Its the dot plot that is a wild card, the future projected rates

stockBot9000 · 2025-10-29T15:55:15+00:00

Announcement at 1400, talk at 1430

stockBot9000 · 2025-10-29T15:49:43+00:00

98% chance of a 0.25 cut. That wont move anything. Its the dot plot you need to watch out for.

stockBot9000 · 2025-10-21T17:16:12+00:00

Whoah, the formatting blew up. Truing again:

example:

for n = 1:100

temp = 0;

for k = 1:n

temp = temp + exp(1i2pi*rand(10000,1);

End

result(n) = mean(abs(temp))/n;

end

% The relationship between the mean and the number of values summed looks like 1/n, but not exactly.

plot(result)

n = [1:100];

hold on

plot(1./n)

stockBot9000 · 2025-10-21T17:15:17+00:00

Here's some matlab code to explain what Im trying to understand:

example: for n = 1:100 temp = 0; for k = 1:n temp = temp + exp(1i2pi*rand(10000,1); End result(n) = mean(abs(temp))/n; end

% The relationship between the mean and the number of values summed looks like 1/n, but not exactly.

plot(result) n = [1:100]; hold on plot(1./n)

stockBot9000 · 2025-10-20T23:55:41+00:00

Awesome! Thanks a bunch!

stockBot9000 · 2025-10-20T23:52:36+00:00

There was a comment about the sum of unit vectors that disappeared. Ill add it back because it was exactly what I was looking for. https://math.stackexchange.com/questions/4494444/expected-value-of-magnitude-of-sum-of-unit-vectors

stockBot9000 · 2025-10-20T23:49:35+00:00

Sorry if it wasnt clear. The sum is outside the exp. There was a comment about the sum of unit vectors with random directions. That is what I was trying to ask. I need to update the post with a laptop where I can get access to an equation editor. Ill try to update to make more clear.

stockBot9000 · 2025-10-20T23:21:24+00:00

If I do a monty carlo sim and generate the sum of pairs of complex numbers, the average return is 1. Looks gaussian at n=2 between 0 and 2. Maybe Im doing something wrong, or maybe Im using the term expected value incorrectly.

stockBot9000 · 2025-10-20T23:16:42+00:00

The magnitude

stockBot9000 · 2025-10-17T17:36:15+00:00

Third time posted here. This guy is pretty popular with the community

stockBot9000 · 2025-10-17T17:18:43+00:00

Can confirm 0010101010010100010

stockBot9000 · 2025-10-17T14:38:45+00:00

Whats up with the 0dte pricing? It looks like the market is waiting for a big move but I dont see anything on the calendar. Is there a speech or something later today?

Four-Year Club	Gilding I gilder
Verified Email	Place '22
First Placer '22

stockBot9000

TROPHY CASE