The problem StockXpert solves

The stock market is a fast-paced environment filled with vast amounts of data and emotions, where smart decisions need to be made quickly. However, traditional analysis tools often miss the critical role of market sentiment and lack realtime data from diverse sources — particularly alternative data sources like news sentiment, social media trends, and non-financial metrics — limits the platform's ability to make well-rounded predictions and advise ethical investments. Investors are also increasingly seeking platforms that support sustainable and socially responsible trading; however, current tools often overlook Environmental, Social, and Governance (ESG) scores and fail to provide meaningful filters that align investments with personal ethics and global sustainability trends

Challenges we ran into

Data Integration and Quality: Integrating data from multiple sources, especially social media, news sentiment, and ESG scores, presented a major challenge.
Sentiment Analysis Accuracy: Extracting sentiment from social media and news with precision was difficult due to nuances in language and the presence of noise, such as slang, sarcasm, or ambiguous terms.