AustrianCat
austriancat.bsky.social
AustrianCat
@austriancat.bsky.social
Trading | Python | Algorithm | Statistics
Don’t wait for the right time, create it.
#bassguitar #bassist #bassplayer
This is just Musks's way to manipulate Tesla stock price. It always works. Insiders and those who understand this can make a lot of money.
June 6, 2025 at 2:29 AM
Global trade is highly competitive. You cannot just dump goods into another country, you are bankrupt the next day if you are not smart.
April 13, 2025 at 7:47 PM
Thanks for posting!
April 1, 2025 at 8:25 PM
Can you also generate random signals with constrains, like go from 10 to 20 between 6 and 24 in 300 steps, like crypto prices?
March 23, 2025 at 8:43 PM
This is when even experienced traders have big losses, it goes down 10%, then 20% and more, without a bounce. It takes several months to recover.
January 1, 2025 at 7:22 AM
10% is a lot, what is your max loss?
December 31, 2024 at 7:16 AM
chatgpt:
write python to make an image file square by extending one side
December 17, 2024 at 10:55 PM
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December 1, 2024 at 9:59 PM
I hope nobody learns Matlab anymore.
December 1, 2024 at 9:45 PM
Thanks!
December 1, 2024 at 9:17 PM
Thanks, I did that, is there another step I have to do?
December 1, 2024 at 9:11 PM
I am a bass player and want to post something in this feed #Bass. How?
December 1, 2024 at 8:58 PM
Does anyone understand what the guy is saying at 3:00?
December 1, 2024 at 5:27 PM
One of my favorite tunes!
December 1, 2024 at 5:26 PM
Still watch every clip of Jaco.
December 1, 2024 at 5:11 PM
He was the man!
December 1, 2024 at 5:03 PM
It even generates support/resistence levels
November 29, 2024 at 10:55 PM
import numpy as np

def price_path(Y, steps, mu, sigma, price0):
dY = Y / steps
dW = np.sqrt(dY) * np.random.normal(size=steps)
inc = (mu - 0.5 * sigma**2) * dY + sigma * dW
prices = np.cumprod(np.concatenate([[price0], np.exp(inc)]))
return prices
November 29, 2024 at 10:42 PM
values = price_path(1, 1000, 0.05, 0.2, 100)
November 29, 2024 at 10:36 PM