2.5 Selected Big Data

In the past, investors heavily relied on information provided by financing companies and advisors. However, in the 2020s, blockchain investors are taking matters into their own hands, seeking information independently rather than relying on biased information from conglomerates and specialists. This shift has created challenges for many users who are now exposed to an overwhelming amount of information. They are inundated with news updates, public announcements from blockchain projects, social media posts by CEOs, and influencer content on platforms like YouTube and Twitter.

Margin traders and users of centralized exchanges often monitor charts and market price fluctuations from the previous day, while DeFi users frequently check pool balances, future coin values, and interest rates prior to pool resets.

There are times when the sheer volume of online information, including favorable and unfavorable market conditions, dominance indices (BTC.D), and policy issues in different countries, surpasses what traders need to monitor continuously.

IMMT, based on its experience in prolonged investment, has discovered that relying solely on big data to sort through this enormous quantity of information can actually decrease effectiveness. The blockchain investment landscape is highly fragmented, and valuable insights can be obtained more effectively by relying on expert-curated reliable sources. By specifying preferred investment formats and targets, users can quickly access filtered information. Big data and artificial intelligence (AI) assist in targeting by learning user investment patterns, providing highly preferred information, recommending investment products, and matching traders with relevant opportunities.

Users are often more interested in specific project technology updates, price differences across exchanges, and technical indicators like Bitcoin's RSI or newly listed coins on specific exchanges, rather than consuming all global news. Proficient investors can harness the power of targeted data to obtain more powerful investment tools