And here's where MOST Python simulations make their mistake: - elimination of a no-car door is random to the player - before player makes his SEQUENTIAL PICK, he DOES NOT know whether he's picked the car or not, though he understands there are now two doors for him to choose; one door has the car, one door does not You've interjected Monty's certainty to player's probability where Python continues with the player KNOWING he's either picked the car and/or not with his first pick before making his second sequential pick. Python is a compiled and interpreted accelerator. You have to prompt it like you're talking to a second grader. If you've done it correctly, the answer will be a 50/50 guess between the two doors for the player's second sequential pick. From a layman's perspective, player has ZERO probability to pick Monty's no-car door, thus having ZERO probability to gain that 1/3 or 33% no-car probaiblity. You're explaining player's probability to pick a specific door, not the probability to get the car. There is a difference between the probability to pick a specific door, and the probability to pick the car. Lastly, I have a fan club - max5250, Araquis, Klaus7443, kt22027, KarlHeizSpock, hakancarlsson2881, endgolfviolence and Hank254, this comment is NOT for you. They are the leader drones of the emperor's new clothes and they'll be triggered to cyber bully anyone who challenges this 2/3 hoax. Let's see how quickly one or all of them responds.

How did you decide to use RandomForestClassifier? Why not go for Logistic after dropping redundant features? I am new to this hence confused. Please guide.

Can you give us the source code??

Making something is the best way of understanding it!

Thank you sir ❤❤

bro spelled jarvis

Thank you for the video. Have you tried intra day instead to improve results? To assist with an entry signal, predicting next bar on a 15 minute bar might be easier since there is less price movement / volatility vs trying to predict the next daily bar.

I'm new to investing, and I've lost a good sum trying out strategies I found in online tutorials. I would sincerely appreciate any recommendations you have.

now tell it about world geopolitical problems and the push for WW3... suddenly Raytheon, Boeing etc are the only stocks which might increase for a short time before even they collapse

where do i get that excel file

such short videos are what makes an adult depressed college guy happy:)

Infinite Collatz Sequences kzbin.info/www/bejne/apbCkIWIZ7Fgn8U

Good teaching 😃😊

The right choice of an investment has always been a big problem for me I know picking a wrong investment will leave a big scar in the future

Why complicate things? You can use the Bollinger Bands function from the TA library and check if the stock price is below the lower band. import pandas_ta as ta df.ta.bbands(close=df['Close'], length=20, std=2, append=True)

shame there's no code (just pitching for sign-up), I'll just type it in:)

thanks for basics

Amazing video. I learnt a lot. Thanks for sharing your knowledge.

Can I get a sample data, 'SPY.csv'?

Hey where is the link for the code of this video

Thx and god bless 😊

What if you adjusted the length of the long term data according to how long it's been on an upward trend? Like, say, after 200 days of conditions favorable to keeping them, every second day you increase the window by 1, or in other words, longTerm = daysSinceLastBuy < (baseTerm * 2) ? baseTerm : baseterm + (daysSinceLastBuy % (baseTerm *2) / 2

7 Years, Lol!

GalaxyCamero makes a application "Windows Camaro Movie Editor"

But after you built the simulations, you should calculated an average or composite average, or something else, to get a financial tool usable for trading proposes. The Monte Carlo simulation alone is not enough. What would you do to make it usable?

How do most of you guys still make profit, even with the downturn of the economy and ever increasing life standards

as a python pro (7 years) i choose python because its easy lol LIKE = input("did you like? :") print(f"YOU DIDNT {LIKE}HOW DARE U")

use dark mode from next time

bro the graph at the end is useless, you have to plot predicted vs actual RETURNS not stock prices, when you do that you'll see the model has a v low R score, ie model is useless

thank you my kurd from kurdistan plees video kurdish okay

u saved me oml

Great! many thanks!

the deficiency that I find in this method is that sometimes the classes of the html elements change.

It is necessary incorporate dividends. I think, even with dividends S&P500 have returned better cumulative returns , but dividend is an important part of real state.

Python reveals ❌ Data reveals ✅

Can u share the data set of IBM

I love this course. Thank you!!!

Simple teaching style

You are using the High and Low of the hour, but you will only know this information once the hour is finished. These two features dont make sense. Thanks anyways for the video.

you're a chad bro

Hi, Can you get me the API for the data from Indian companies trading in Indian Stock Exchange, NSE please

Great video, but where does one find the assets.csv file?

Hey great stuff you ever try using Backtesting library?

I can't reach to the code?

thanks man

see if you can do it again for 2025

i got all the way to the end but Im having trouble getting it running in streamlit? It says i need to put it through github but idk how, i am using vscode... Any advice would be greatly appreciated?

I believe you'd also want to have low MSE? for the model to predict accurately. Could be wrong, im just tryna learn out here hah

tf is this, useless sh!t i've ever seen

If you have everything paid, I am not expecting significant popularity of your channel.