AI Crypto Trading: 70% Accurate Buy and Sell Signals Using RSI & Python (MUST WATCH)

#Programming #Python
Build an artificial intelligence (AI) model that can predict buy and sell signals for Bitcoin with 70% accuracy.
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
⭐Please Subscribe !⭐
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🐦🔥🐤 Support The Channel🐤🔥🐦
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
⭐Get the code and data sets or just support the channel by becoming a supporter on Patreon:
► / computerscience
⭐Website:
►everythingcomputerscience.com/
▶️ Get 2 Free Stocks on WeBull (valued up to $1850) when you deposit $100 or more :act.webull.com/kol-us/share.h...
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📚Helpful Python Programming Books📚
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
► Hands-On Machine Learning with Scikit-Learn and TensorFlow:
amzn.to/2AD1axD
► Learning Python:
amzn.to/3dQGrEB
►Head First Python:
amzn.to/3fUxDiO
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📚Helpful Financial Books📚
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🌟Stock Market Investing Books:
✔️The Bogleheads' Guide to Investing
amzn.to/3s0icxA
✔️The Intelligent Investor
amzn.to/34Mj7t1
✔️A Random Walk Down Wall Street
amzn.to/3Bv0ghW
🌟Money Mindset Books
✔️Rich Dad Poor Dad:
amzn.to/3rZW6eE
✔️Get Good With Money: Ten Simple Steps To Becoming Financially Whole:
amzn.to/3I1UXc1

[@epicmonckey25001]

Something interesting to try would be to expand the features list to include more columns, and see what that does to the accuracy. Also displaying a graph of the performance would be cool, like where did the model predict right and wrong.

[@rrahll]

thanks mate)
always like this kind of topics
that's interesting

[@ViralFreedomLS]

Never stop making these 🙌🏾

[@eliotharreau7627]

;OK !nice work bro. And what is the name of this best model ? Thank you.

[@serg8483]

Dude, this is the last time I'll comment your videos .
Don't mislead people. You have a lot of subscribers and you must be responsible for it.
You are aware that you have a data leak here. You haven't made an offset in your target variable. Offset a day ahead and your accuracy will be 50% or so.

[@phulm]

I think this does what you say is needed:
# Create a new column % change
df['Percentage Change']= df['Close'].pct_change() # change here for 1 day offset?
# checks
df['Difference'] = df[['Percentage Change']].shift(-1)
# print(df.tail()) # a check

[@serg8483]

Yep
TARGET = 1
df['Percentage Change']= df['Close'].pct_change().shift(-TARGET)
@@phulm

[@Latte-rf7vg]

Come on. At least he created a video for people to learn. If you understand machine learning, you must know that no model is perfect, we need tunning as well. Whether it's misleading or not, he stated that he was not a financial advisor.