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Description by Gemini
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The Base Photo
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Pics with the Dots
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Loading Animation
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matlab
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✨ Inspiration
Driven by the goal of more accessible and transformative education, our group set out to find a viable solution. Stocks are very rarely taught in school and in 3rd world countries even less, though if used right, it can help many people go above the poverty line. We seek to help students and adults learn more about stocks and what drives companies to gain or lower their stock value and use that information to make more informed decisions.
🚀 What it does
Users are guided to a search bar where they can search a company stock for example "APPL" and almost instantly they can see the stock price over the last two years as a graph, with green and red dots spread out on the line graph. When they hover over the dots, the green dots explain why there is a general increasing trend in the stock and a news article to back it up, along with the price change from the previous day and what it is predicted to be from. An image shows up on the side of the graph showing the company image as well.
🔧 How we built it
When a user writes a stock name, it accesses yahooFinance API and gets the data on stock price from the last 3 years. It takes the data and converts to a JSON File on local host 5000. Then using flask it is converted to our own API that populates the ChartsJS API with the data on the stock. Using a Matlab Server, we then take that data to find areas of most significance (the absolute value of slope is over a certain threshold). Those data points are set as green if it is positive or red if it is negative. Those specific dates in our data points are fed back to Gemini and asks it why it is thinking the stock shifted as it did and the price changed on the day as well. The Gemini at the same time also takes another request for a phrase that easy for the json search API to find a photo for about that company and then shows it on the screen.
🤯 Challenges we ran into
Using the amount of API's we used and using them properly was VERY Hard especially making our own API and incorporating Flask. As well, getting Stock data to a MATLAB Server took a lot of time as it was all of our first time using it. Using POST and Fetch commands were new for us and took us a lot of time for us to get used too.
🏆 Accomplishments that we're proud of
Connecting a prompt to a well-crafted stocks portfolio. learning MATLAB in a time crunch. connecting all of our API's successfully making a website that we believe has serious positive implications for this world
🧠 What we learned
MATLAB integration Flask Integration Gemini API
🚀What's next for StockSee
- Incorporating it on different mediums such as VR so users can see in real-time how stocks shift in from on them in an interactive way.
- Making a small questionnaire on different parts of the stocks to ask whether if it good to buy it at the time
- Use (MPT) and other common stock buying algorthimns to see how much money you would have made using it.
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