Social: The Fragmented Information Problem
Last updated
Last updated
Crypto’s vast information landscape presents two main issues: fragmentation and overload. In an always-on market, valuable insights (what traders call “Alpha”) exist abundantly—but they’re buried within a fragmented and noisy data landscape. Alpha might be hiding within an obscure smart contract interaction, or a single fleeting tweet. We live in an unprecedented age where every bit of relevant market information exists publicly, yet is rarely aggregated effectively.
Plus, for hype-driven assets such as meme coins, traditional financial metrics lose relevance, replaced instead by crypto-specific social metrics (or “pumpamentals”). These include hype, community attention, and social buzz. The true signals are always there—just obscured by overwhelming informational chaos.
This creates a ruthless, asymmetric, “PvP” battlefield in crypto markets. AI bots, whales, insiders, and influencers systematically exploit this information disparity, turning uninformed retail traders into exit liquidity. Individual human traders simply can’t realistically monitor, parse, and analyze this nonstop data flood in real-time, and are left frustrated, even during bull markets.
Edgen’s core premise is to level this playing field – to reshuffle the deck in favor of everyday traders. By transforming scattered market noise into coherent, timely signals (with a heavy assist from AI), Edgen ensures no one is left trading in the dark. In other words, we want to turn the tables so that even a solo retail trader with Edgen can act with the insight and speed of a Wall Street quant. Edgen empowers all traders to stand on equal footing, armed with a real-time, unified view of the market. It’s about making the “little plankton” as informed as the “big whale” and swift as the “market sharks”.
Understanding this fundamental challenge clearly demonstrates why Edgen leverages advanced artificial intelligence—beyond human capabilities—to overcome the information overload inherent in today’s crypto landscape.
The outcome? Most retail traders lose money while a tiny fraction reap most of the gains. For example, analysis of meme-token trading on pump.fun showed that nearly 90% of users either lost their investment or made under $100 in profit (source: ) – an extreme Pareto distribution where only a few big winners emerge. This inequality isn’t because retail traders lack skill or guts; it’s because they lack timely access to the right information. More than that, even among winners, profit distribution is extremely unequal.