Analyzing Stock Price Correlations in Python

Today we learn how to analyze stock price movements in terms of correlations.
DISCLAIMER: None of this is financial advice. This video focus on the programming aspects of the topic. I am not a financial professional.
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[@mayacho4910]

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[@nic.trades]

Your video and explanations are super clear. I am just starting in Python and was interesting in trying this out, but even if I copy the code line by line I am still getting issues with it. I have now spent 20 hours without being able to get anywhere smh.

[@JJTradess]

Incredible as a day trader learning to code doing stuff like this is really fun!

[@pietraderdetective8953]

Your channel is amazing!
Can you make a video about stock chart pattern recognition (just one of the popular chart patterns should be enough: triangle, double bottom, cup and handle, etc)?
I've looked it up but couldn't find any.

[@shafiqusman2362]

I am new in your channel, your videos are amazing and I will learn alot but
please use Ctrl + keys to zoom in the code for better big screen

[@andyn6053]

How to use Markowitz to build optimal portfolio?

[@johnmartin2561]

I copied your code exactly and yet when I ran the code it gave traceback (most recent call last:) with the file name - "in data = web.DataReader(ticker, "yahoo", start, end). Why doesn't my code work when I typed it in exactly as you did?

[@Tech_Doctor788]

Thank you sir for always sharing

[@kapilsonyt]

Another amazing video!!! Thanks.

[@sobhandeepgope]

I don't know why kivy Android apps are not working with Android 12....? Please help me...🙏🙏🙏🙏

[@theanalystkr3255]

could have just written it like this? # Set the date range
start = dt.datetime(2018,1,1)
end = dt.datetime.now()
# Define the stock symbols
tickers = ['FB', 'GS', 'NVDA']
# Create an empty dataframe to store the data
adj_close = pd.DataFrame()
# Download the data for each stock symbol
for ticker in tickers:
data = yf.download(ticker, start=start, end=end)
adj_close = adj_close.join(data['Adj Close'], rsuffix=ticker)
# Rename the columns
adj_close.columns = tickers
# Save the data to an Excel file
adj_close.to_excel('stock_data.xlsx', sheet_name='Stock Data', index=False)
# Print the adj_close dataframe
print(adj_close)

[@RohanDreamerz]

Thanks

[@cagataydemirbas7259]

are u working as an python engineer ? what python engineer/developer do as a job ?

[@hariprasad-zq2bp]

Make web app using flask for stock market, like getting and storing data to database in flask webapp

[@scottlee38]

Awesome work!!

[@BirKatredeBenden]

hello, yahoo is not working how can we solve this problem in line 14., data=web.DataReader(tickers,"yahoo",start,end)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'group'

[@Plu3e]

That was fun. Thank you

[@ali-om4uv]

Nice video as always!!

[@lzdps]

Awesome! Thanks for introducing pandas_datareader. Do you know where (other lib or web) we can get additional features?

[@philtoa334]

Thx_Nice.

[@sudeepgowda8375]

lit

[@brandonbyrd8466]

Yeah this doesn't work at all....

[@zedcandance]

AAA+

[@sanspentester8506]

❤️🤤

[@sanspentester8506]

Again, first comment 🌹🤝

[@1codetoonist695]

fiiiiiiiiiiirssssssssssssssssssssttttttttt (great vid btw)

[@brandonbyrd8466]

#chat gpt if you want code that actually works..