Analyzing Stock Price Correlations in Python
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- Опубликовано: 17 фев 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.
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.
Awesome work!!
Nice video as always!!
Thank you sir for always sharing
Incredible as a day trader learning to code doing stuff like this is really fun!
That was fun. Thank you
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.
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?
Thx_Nice.
Make web app using flask for stock market, like getting and storing data to database in flask webapp
Awesome! Thanks for introducing pandas_datareader. Do you know where (other lib or web) we can get additional features?
lit
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'
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..