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Specific stock screen
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Main stock screen
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stock position poll
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user statistics
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group statistics
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Tech Used
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Stock prediction up until 2024 for IBM
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IBM Watson services used
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The rest of the IBM Watson services used
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mongodb data store
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google cloud GCP serverless functions for poll functionality
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google cloud GCP serverless functions for poll functionality
Inspiration
College students are increasingly financially illiterate. We wanted to make a solution to teach people about investing without a large up-front capital investment. This fosters a low risk, high reward scenario, as you are learning a lot without risking lots of money.
What it does
We made a mobile-app where you can join investing groups of other new investors. Within these groups, you discuss strategies and invest in a stock. Your group will vote on trading positions and our app will tell you if those positions are good based on a forecasted model we've made for your stock.
How I built it
React Native, Redux, Node.js, Python, MongoDB, Yahoo Finances API, socket.io, IBM Watson Machine Learning models, Notebooks, Modeler Flows, and Data Refinery Flows(seen in screenshots).
Challenges I ran into
IBM Watson auth(Auth always gets me :/ ).
Accomplishments that I'm proud of
Making an app to empower the next generation of traders/investors.
What I learned
IBM Watson.
What's next for ShareTrade
Creating ability to crowd-invest in credit cards, crypto currencies, savings accounts, etc. These will allow college students to interactively try out different investment tactics with little overhead.
Built With
- gcp
- google-cloud-serverless-function
- ibm-cloud
- ibm-watson
- mongodb
- node.js
- python
- react-native
- redux
- socket.io
- yahoo-finances-api
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