You can view the application in https://stocksera.pythonanywhere.com

This website will be free forever! No subscription needed! But if you want to support me, please give me a star on Github or you can PayPal to https://www.paypal.me/stocksera

• View graph/historical data of your favourite ticker.
• Gather key statistics such as EPS, beta and SMA.
• Proportion of stocks held by major holders and major institutions.
• Google trending.
• Data is from yahoo finance

• View options chain of your favourite ticker. Inspired from Gamestonk Terminal
• Find out the max-pain price, OTM & ITM options and Call/Put ratio of the next few weeks.
• NOTE: Options chain and max-pain price are updated real time. Hence, there may be a slight delay in rendering this page.
• Data is from yahoo finance

• View short volume and short percentage of some of the popular tickers.
• Data is from shortvolumes.com

• View failure to deliver data of some of the popular tickers.
• Data is from SEC.gov

• View all tickers earnings report for the week ahead
• Market Cap, EPS Estimate and EPS Actual
• Sortable by market cap and day
• Data is from yahoo finance

• Find the most mentioned tickers with their sentiment level on different subreddits such as r/wallstreetbets, r/stockmarket and r/stocks. Inspired from Auto DD
• Data is updated daily, around 1 hour before market open.

• Analyse the performance of trending tickers on r/wallstreetbets.
• Top 10 most mentioned tickers with the highest sentiment will be added to the "Reddit ETF" when market opens.
• Tickers that fall outside the Top 10 list will be sold.

• Look at the increase in number of redditors on popular sub-reddits such as r/wallstreetbets, r/Superstonk and r/amcstock.
• Growth in number of new redditors and percentage of active redditors.
• This page is currently very basic, open to new suggestions on how to improve this page.

• Note: This page is still in development
• A compilation of top due-diligence on Reddit.
• Data is manually sourced by Stocksera on a regular basis.

• Identify top gainers and losers during market hours.

• Identify tickers with the highest short interest level.

• Identify tickers with low float.

• View holdings, trades and news of all companies in ARK Fund.
• View trades and ownership of a ticker.
• Data is from arkfunds.io/api

• View latest news of your favorite ticker
• Get their overall news sentiment and their sentiment level over time
• Compare the sentiment level with other popular tickers such as GME, AAPL, TSLA.
• NOTE: This feature is not available on pythonanywhere. To use this feature, you have to host the application locally. Please refer to the Developers section for more details
• Data is from finviz

• Advantages of hosting it locally on your computer:
  • Faster rendering time
  • Customise your own ticker
  • Access to news sentiment

# Clone the project
git clone https://github.com/spartan737/Stocksera.git

# Navigate into project's folder
cd Stockera

# Install modules
pip install -r requiresments.txt

• Register for an API in https://www.reddit.com/prefs/apps and enter credential in scheduled_tasks/config.py

cd scheduled_tasks
py create_database.py

• Please refer to Scheduled Tasks Guide for more information on how to run scheduled tasks.

• Go to ViewStocks/urls.py and uncomment 'sub_news/' and 'latest_news/'.
• Go to templates/format.html and uncomment line 33.
• Go to templates/ticker_price.html and uncomment line 92-95.

# Set up static file (you only need to run this the first time):
py manage.py collectstatic

# Run application (view it in 127.0.0.1:8000):
py manange.py runserver
# And you're ready to explore!

This project is under the MIT license.