The problem Stonks solves

Most conventional stock predictive models are highly dependent on technical analysis of a company's stock and are heavily reliant on crunching numbers and data, often taking into consideration how the stock has performed over time or the history of similar stocks.

This predictive model might be foolproof in a perfect world but in the real world, stock prices and growth/decline rates are often affected by other factors like news and media, which technical analysis often fails to take into account.

Challenges we ran into

The biggest challenge we ran into was getting accurate and reputable data-sources for finance and cryptocurrency news and prices. We were able to overcome this by scraping data from India's most trusted news source InShorts for finance news, and Economic Times for crypto news.