AustrianCat

This is just Musks's way to manipulate Tesla stock price on a grand scale. It always works. Insiders and those who understand this can make a lot of money.

President Donald Trump threatened to cut off government contracts with billionaire Elon Musk's companies, while Musk suggested Trump should be impeached, turning their bromance into an all-out brawl on social media reut.rs/4mPSgPA

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.

Global trade is highly competitive. You cannot just dump goods into another country, you are bankrupt the next day if you are not smart.

Thanks for posting!

Can you also generate random signals with constrains, like go from 10 to 20 between 6 and 24 in 300 steps, like crypto prices?

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.

10% is a lot, what is your max loss?

chatgpt:
write python to make an image file square by extending one side

Let winners run, add to it, and be ruthless about cutting losers early. #daytrading #trading

The trading platform below is a scam. No references, no user reviews, google search has no results, registration goes nowhere.
procmrt.com

I hope nobody learns Matlab anymore.

Thanks!

Thanks, I did that, is there another step I have to do?

I am a bass player and want to post something in this feed #Bass. How?

YouTube video by Samo Salamon Peter Erskine talks about Jaco Pastorius

#bestbassplayers
www.youtube.com/watch?v=Y_vn...

YouTube video by Jazz Video Guy Did Herbie Really Borrow Jaco from Weather Report? Herbie Hancock and Jaco Pastorius

www.youtube.com/watch?v=H2T-...

Does anyone understand what the guy is saying at 3:00?

One of my favorite tunes!

Still watch every clip of Jaco.

He was the man!

It even generates support/resistence levels

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

values = price_path(1, 1000, 0.05, 0.2, 100)

Are there known techniques to generate realistic looking fake stock data? I recently wrote some Javascript code to generate random fake stock data as I wanted to show a chart that at first glanced looked like real stock data - but all I came up with was pretty noddy. I ...

See here:
stackoverflow.com/questions/85...

How about generating realistic stock/crypto prices (charts), not just using a random generator directly?

If you want to be a good trader just buy or sell whatever Nancy Pelosi is buying or selling.
#trading

well done! thx!

$HBAR !

BTC looks like it wants to go up again.