Inspiration
A few nights ago, a friend was really anxious because the stock market was dropping and he missed his chance to sell when he was ahead. We wanted to create a way to help people make informed decisions if they are unsure whether they should buy or sell.
What it does
It reads in stock data over the period of time relevant to the investor, and analyzes it by first smoothing it out to eliminate "false peaks", then making a mathematically informed decision based on trends in the slope of the graph.
How we built it
The data was extracted using R. The analysis algorithm was implemented with Python, and embedded using Flask into a website made using HTML, CSS, and Bootstrap.
Challenges we ran into
-Learning Flask -Coming up with the analysis algorithm
Accomplishments that we're proud of
Everything.
What we learned
-Flask -Designing a prototype using UI/UX -A lot about stocks
What's next for HerStocks
-Improve website so that it automatically imports live data for continual ability to predict future trends.
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