Analyzing Stock Price Correlations in Python
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- čas přidán 17. 02. 2022
- 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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Another amazing video!!! Thanks.
Incredible as a day trader learning to code doing stuff like this is really fun!
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.
Nice video as always!!
Awesome work!!
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.
That was fun. Thank you
Thank you sir for always sharing
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
I don't know why kivy Android apps are not working with Android 12....? Please help me...🙏🙏🙏🙏
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?
Awesome! Thanks for introducing pandas_datareader. Do you know where (other lib or web) we can get additional features?
Thx_Nice.
Make web app using flask for stock market, like getting and storing data to database in flask webapp
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'
lit
are u working as an python engineer ? what python engineer/developer do as a job ?
❤️🤤
fiiiiiiiiiiirssssssssssssssssssssttttttttt (great vid btw)
AAA+
Again, first comment 🌹🤝
Yeah this doesn't work at all....
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)
Thanks
#chat gpt if you want code that actually works..