Hackathon Entry
An experimental stock-analysis dashboard combining market data, Google Trends signals, and a PyTorch neural network to produce heuristic stock rankings.
About the project
Stock Advisories is a full-stack stock-analysis dashboard built during a hackathon, exploring how market data and wider public-interest signals can be combined to analyse stocks.
Users can search for a ticker to view recent price history alongside Google Trends data for company-related keywords, providing another perspective on momentum and public interest.
The project also includes a trainable PyTorch neural network that uses historical price and volume features to estimate future returns. Its output is combined with keyword trends and recent price momentum into an experimental holistic stock score and ranking.
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