Streamlit STOCK dashboard using Python 🔴

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How to build Streamlit Stock Dashboard using Python: In this tutorial, we used Streamlit to make a simple stock dashboard. Streamlit web app is a great open-source app framework in Python language. Click 👇 “Show more” to learn more:

⌚ TimeStamps:
Introduction (0:00)
Topics to cover (2:15)
Streamlit web app setup (3:42)
Using yfinance to extract stock price (5:56)
Tabs for pricing, fundamental, and stock news analysis (7:45)
Stock Price Analysis on Streamlit (8:36)
Stock fundamental data using Alpha vantage (12:44)
My Google Drive (15:04)
Stock News analysis on Streamlit (16:18)
Outro (20:36)

𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐋𝐢𝐧𝐤𝐬:

𝐆𝐞𝐭 𝐢𝐧𝐬𝐭𝐚𝐧𝐭 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐯𝐢𝐝𝐞𝐨𝐬:

𝐌𝐚𝐤𝐞 𝐬𝐮𝐫𝐞 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐬𝐨 𝐲𝐨𝐮 𝐝𝐨𝐧'𝐭 𝐦𝐢𝐬𝐬 𝐨𝐮𝐭 𝐨𝐧 𝐦𝐲 𝐟𝐮𝐭𝐮𝐫𝐞 𝐯𝐢𝐝𝐞𝐨𝐬:

#fpritvik #streamlit #python
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Great Content. Thanks for doing this!!!
Subscribed!!

wyo
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Very nice Video, there is alot of information to digest. Getting started in this area, and found your channel! it a gold mine!

guyshepperd
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Awesome video!!! Thank you for this great

CCSS
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Truly awesome video, subscribed - thank you so much for taking the time to create such excellent videos. May you be the number 1 YouTuber in 2024!

SM-yhmj
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Great Job! I am going to check your channel for more educational videos

nandya
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Your videos are really helpful for me, thank you for uploading such awesome content...

SatyamKumar-jubf
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Very helpful video sir, thank you for that .

One question is there that if we want to plot a polarity graph from your stocknews possitivity or negativity data which is shown in top news tab of this dashboard?

Can we plot a graph or not if yes then how

belalkhan
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This is a great tutorial. I was walking through to practice some coding... test some other APIs even... BUT, I did not make sure to limit my date range or limit my excessive testing of the code... I soon realized that yahoo finance has a request limit LOL... nothing nefarious, however it cut my fun short... keep in mind those request limits...

jasoncj
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Can you please create a saperate video on building a streamong dashbaord using Plotly dash?

SandeepSinghDataAnalyst
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Amazing. Would it be possible to make a dashboard with streamlit or tableau/power bi to visualize our stock portfolio returns. Things like best performer, worst performer, drawdown graph, xirr, cagr, average number of stocks held in a week/month/year, number of trades in a FY, total expense in the FY composed of transaction costs, brokerage, exchange cost, applicable taxes etc. Average weekly/monthly/quarterly return. I'm interested to know how would we even get the data from our own demat accounts of brokers (like zerodha), to start analysis.

sulweaver
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Would be great if the charts were more interactive. Like allowing it to use own indicators and settings

DaeViZn
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Hello, how would you use Eikon (Refinitiv) data instead of Yahoo Finance ?
I replace the yf.download() part with ek.get_data(), but it does not work ? Any advice please, thanks!

samhuang
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well-developed video tutorial, more please

martin-xqte
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fig = px.line(data, x=data.index, y = data['Adj Close'], title = ticker)
st.plotly_chart(fig) this line is not running, its showing value error : ValueError: Cannot accept list of column references or list of columns for both `x` and `y` could you just help

deekshapandey
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Thanks for the videos. I cannot get text to display in streamlit dashboard. All I get is the blank page, any ideas as to why?

marketmaker_
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can you share the github link for this project?

shreyaskali
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Nice video,
Can you advise how to refresho data after every minute

ganeshpanpat
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This is a great tutorial with vast knowledge on streamlit however i dont know what i am doing wrong but i am getting this error "ValueError: No objects to concatenate"
data = yf.download(ticker, start=start_date, end=end_date)
fig = px.line(data, x=data.index, y=data["Adj close"], title=ticker)
st.plotly_chart(fig)

alexkabugo
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Hey, the dashboard that you are showing in your thumbnail looks at a lot better than the one your created. Where is the one that you are showing in your thumbnail?

eddyv
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Need to consider social media trend & should have applied sentiment analysis

nneguyu
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