Using only micro-blogging data for financial opportunity detection may have limitations in terms of data quality, coverage, and reliability. Micro-blogging data can be noisy, subjective, and prone to biases, which can impact the accuracy of the system's predictions. Additionally, relying solely on micro-blogging data may not provide a comprehensive view of the market dynamics and may overlook important signals from other data sources.
To improve the system, incorporating additional data sources such as financial news articles, company reports, market trends, and economic indicators can provide a more holistic view of the market. By integrating data from diverse sources, the system can enhance its predictive capabilities and reduce the impact of noise and biases present in micro-blogging data. Utilizing natural language processing techniques to analyze and extract insights from a variety of textual and numerical data sources can enrich the system's understanding of financial opportunities and improve decision-making outcomes.