Hello tony.m, Wow. He made a million dollars in future and then lost it all the next year? Wow, how did that happen?
More bullshit and lies. Why not. You probably just came across the term 4090 when you browsed amazon shopping. A dual 4090 setup is as entry level as it gets today for any serious neural network training and inference. And how would you use this anyway, you probably can't even write a hello world program instruction in any language. Again a bullshit claim purely designed to impress novices. You should really stick to pulling the wool over newbees' faces in options space. This is completely out of your league.
LMFAO HHAHAHAHAHAHAHAAHAHAHAHA good laugh for the day. @destriero owe me $5000 with interest and never paid me when he lost the bet.
I have a Lambda 2x4090. I clear an account that uses Hanweck and I took Calc3. Why don't you start another dest-thread? https://www.elitetrader.com/et/threads/has-destriero-been-decommissioned.376046/
the problem is 95% of the ppl in the general population don't understand the shit that is coming out of your mouth.
Yet you can't write a single line python code. Lots of claims all day long, interspersed by personal attacks of the worst kind. That is what your deluded mind is constantly concerned with, acknowledgement and affirmation of self worth. You try extremely hard to show off and establish yourself as being wealthy yet your sandbox fights and constant personal attacks of the worst kind only demonstrate how poor in mind and spirit you really are. Wisdom is a completely foreign term to you.
Don't worry, he googled those himself, so can you. He has a narcissistic need to be believed to be on top of everything, even though he knows next to nothing about the ai space.
import yfinance as yf # Define the ticker symbol and date range for historical data ticker_symbol = "SPY" start_date = "2023-01-01" end_date = "2023-09-06" # Fetch historical data for the ticker spy_data = yf.download(ticker_symbol, start=start_date, end=end_date) # Calculate the VWAP for the entire historical data spy_data['Cumulative TP'] = (spy_data['High'] + spy_data['Low'] + spy_data['Close']) / 3 spy_data['Cumulative Volume x Price'] = spy_data['Cumulative TP'] * spy_data['Volume'] spy_data['Cumulative Volume'] = spy_data['Volume'].cumsum() spy_data['VWAP'] = spy_data['Cumulative Volume x Price'] / spy_data['Cumulative Volume'] # Calculate the VWAP for the latest available data latest_vwap = spy_data['VWAP'][-1] # Define a condition to buy above VWAP buy_condition = latest_vwap < spy_data['Close'][-1] # Simulate buying if the condition is met if buy_condition: print(f"Buying {ticker_symbol} above its VWAP.") else: print(f"Not buying {ticker_symbol} above its VWAP.")