As the sentiment of “starting to look at Bitcoin again” resurfaced, a forecast that Bitcoin could reach $750,000–$1,250,000 within the next five years drew community attention. While institutional adoption was cited as the primary rationale for the ultra-bullish view, debates over the authenticity of narrative-driven issues symbolized by the “107 BTC burn,” rug-pull allegations tied to sharp token crashes, and warning signs such as cooling trading volume also spread in parallel.
“$750k–$1.25M within 5 years” — bullish thesis spreads on institutional adoption
Posts circulated rapidly—especially across overseas channels—claiming Ark Invest’s Cathie Wood projected “Bitcoin at $750,000–$1,250,000 within five years.” The posts directly pointed to “institutional adoption” as the key driver, emphasizing optimism from a long-cycle perspective. Meanwhile, Korean channels also showed recurring reactions such as “I keep buying small amounts even on dips” and “I’ll treat this as an accumulation opportunity,” suggesting that long-term holding narratives continue to be consumed despite short-term volatility.
‘107 BTC burn’ story goes viral, followed by rebuttals citing “thin evidence” and “signs of selling”
In Korean communities, a “burn incident” narrative became a hot topic, alleging that 107 BTC from a dormant wallet dating back 11–12 years was moved to a burn address. The story claimed developers who met on IRC kept a promise to “burn instead of selling.” Soon after, pushback emerged—“the evidence is insufficient” and “there are traces of transfers to exchanges suggesting a sale”—escalating into a broader debate over authenticity. Rather than reaching a definitive conclusion, users showed a consumption pattern focused on screenshots and curated summaries to re-check the facts.
Rug-pull suspicions and crash cases highlighted — on-the-ground reporting on ‘ESPORTS’ also shared
Risk awareness around abrupt collapses rose simultaneously. Summaries spread that a gaming/e-sports coin, ‘ESPORTS,’ plunged by more than 90% in a single day, alongside claims of large-scale selling on-chain (a significant share versus circulating supply) and a Korean media report describing a visit to the developer’s office. Even with caveats like “it’s not confirmed whether this was insider selling or market-maker inventory,” community reactions remained highly sensitive to suspicion-driven narratives.
Slowing volumes and weakening correlations discussed — CME’s 24/7 shift puts ‘gap’ indicators in focus
On the data side, the phrase “spot volume across the top 10 exchanges down 50%” spread widely, reinforcing concerns about weakening liquidity. Another shared claim was that “Bitcoin’s correlation with global liquidity is at a 10-year low,” prompting interpretations that even with M2 expansion, capital inflows into crypto may be limited. At the same time, as CME crypto futures/options move to 24-hour trading starting May 29, 2026, posts explaining that the ‘CME gap’ metric will become harder to form—and listing the remaining upside/downside gap zones—attracted strong interest.
Altcoin ‘stock theme’ crowding felt, with steady consumption of event-driven info (campaigns/AMA/TGE)
Some users noted that Binance’s listing momentum appears centered on “stock (equity) themes.” This led to takes such as “excluding Bitcoin, it feels like alt season is here,” suggesting a narrative rotation toward a single sector. Meanwhile, practical community information—project campaigns (video-review events), a ZK-based project AMA announcement, experiences of sharp exchange-only dumps (price dislocations), and schedules like the Dropee TGE—continued to be widely consumed. Many posts also highlighted technology/metrics such as AI, on-chain memory, payments/settlement traction, and TVL growth, reflecting a market where “issues + information + events” are intertwined.
Overall, top community topics paired expectation-boosting messages like the ultra-bullish forecast with caution signals such as burn-story authenticity disputes, rug-pull suspicions, and volume slowdowns. The dominant response pattern favored cross-checking institutional adoption narratives, on-chain context, and indicators like volume/gaps, while also monitoring event- and reporting-driven risks. This article was produced using Telegram messages collected via DataMaxiPlus community analysis technology.
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