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It’s really heartbreaking to see how inflation and recession impact low-income families. The cost of living keeps rising, and many struggle just to meet basic needs, let alone save or invest. It’s a reminder of the importance of finding ways to create financial opportunities. You've helped me a lot sir Brian! Imagine i invested $50,000 and received $190,500 after 14 days
Some persons think inves'tin is all about buying stocks; I think going into the stock market without a good experience is a big risk, that's why I'm lucky to have seen someone like mr Brian C Nelson.
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)
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
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?
Great question, you can take the average of the simulations or other statistical data (e.g. std dev) on the simulations to determine what the future price may be.
As a beginner, it's essential for you to have a mentor to keep you accountable. I suggest Miss Donna Patricia Hester is extremely good on that. She is really good on what she does, Now I can pay so many bills because of her help.
The first step to successful investment is figuring your goals and risk tolerance either on your own or with the help of a financial professional but it's very advisable you make use of professional
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
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.
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.
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?
28:34 This is such a massive miss lead (error in placement of targets (Signals)) that people would be better off not watching this video. Because if you are new in this space and follow those instructions worst case you implement real time trading bot, you will suffer huge losses, and best case you will smash your head against the keyboard for hours trying to replicate same accuracy with the same method, without achieving any progress
@@ComputerSciencecompsci112358 target column is not offset so model tries to predict weather price went up or down on current candle knowing it's open and close values
When you undertake this project in Python notebook as the presenter has done Gemini AI will complete the code for you by suggesting the lines of code. To accept what is suggested, just press the tab key on your keyboard. Through running the code can and getting an explanation from the Gemini AI regarding the errors, I determined that the API had changed.
Okay here's the deal,.... The Yahoo finance API has likely changed since this video was first published. For all of those introductory lines of code importing all those different packages you only need a single line now as follows: import yfinance as yf
