Introducing Stocksera. It is a web site I made to point out analyse extra about shares usually. You’ll be able to view the web site at stocksera.pythonanywhere.com
Aside from figuring out trending tickers on Reddit (primarily r/wallstreetbets, r/stocks and r/stockmarket ) based mostly on variety of posts, feedback, upvotes and sentiment within the final 48 hours, I included a wallstreetbets ETF, the place the highest 25 trending tickers on r/wallstreetbets might be purchased. I’ll embrace trending tickers on r/options within the subsequent few days!
You can too analyse a ticker historic information by sorting it in line with date, quantity, closing value and many others. Primary data reminiscent of beta, market cap, common quantity over the previous couple of buying and selling days, institutional holdings can be found too. I additionally added a piece to have a look at the pattern of a ticker on Google.
There are different data for individuals who purchase choices reminiscent of possibility chain, max ache, name put ratio.
Quick curiosity, failure to ship are additionally out there for standard tickers reminiscent of AAPL, GME, AMC and many others.
Monetary information of firm is included. However as that is nonetheless in progress, solely the money circulate of the corporate is obtainable. Stability sheet and monetary assertion might be out there within the subsequent replace.
That is my first time making an internet site in Django since I began studying programming by myself since one 12 months in the past so I’m leaving my code open-sourced for everybody to evaluate my code to enhance the web site sooner or later. You’ll be able to view the code at https://github.com/spartan737/Stocksera. Please give me a star if you happen to like my mission.
BONUS. In the event you host this software domestically in your pc, you may also view the most recent information and their sentiment stage of a ticker. This isn’t out there for individuals who use stocksera.pythonanywhere.com since I’m utilizing a free account and the web site that I used to get information article (Finviz) is just not whitelisted by pythonanywhere. Directions on learn how to view the information sentiment are included in github as properly.