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Reviewing Major Institutions' 2025 Bitcoin Price Predictions: Almost All Failed

Review of Major Institutions' Bitcoin Price Predictions for 2025: Nearly All Failed In late 2024 and early 2025, the crypto market consensus was highly unified: post-halving momentum, ETF-driven institutional adoption, and favorable regulatory expectations were seen as key drivers for further gains in BTC and risk assets. Against this backdrop, multiple institutions and prominent figures issued aggressive year-end price targets, particularly in the $200,000–$250,000 range, while others focused on structural industry changes like expanded compliant product offerings and the mainstreaming of exchanges and crypto companies. A review of 2025's actual performance shows that price point predictions普遍 (universally) overestimated the strength and sustainability of the rally. In contrast, judgments related to regulation and industry structure were more likely to be at least partially realized. Most price predictions failed significantly. For instance: - KuCoin Research predicted a peak near $250,000; BTC's actual peak was ~$126,000, falling to ~$88,000 by year-end. - Tom Lee and H.C. Wainwright cited factors like regulatory tailwinds to forecast $250,000 and $225,000, respectively; these targets were vastly unmet. - Matrixport's more conservative $160,000 target and VanEck's detailed cycle path (peak of ~$180,000) also went unfulfilled. - Bitwise's prediction of BTC above $200,000 failed, though its call for Coinbase's entry into the S&P 500 proved correct. The common failure was underestimating the market's sensitivity to macro risks and leveraged positions at high valuations, triggering significant drawdowns and deleveraging instead of a continuous narrative-driven price ascent. Predictions focused on industry structure and regulatory/product development fared better: - KuCoin, Bitwise, Bloomberg, and others correctly anticipated the approval and sequential rollout of spot ETFs for assets like Solana (BSOL) and XRP (XRPC) throughout 2025. - Predictions about increased institutional participation, regulatory progress, and the expansion of stablecoins and tokenized assets (RWA) were directionally accurate, even if specific growth targets (e.g., stablecoins reaching $400B) were overly optimistic. In conclusion, the more a prediction relied on a specific, extreme price point, the more likely it was to fail. Predictions focused on regulatory processes, product supply, and structural industry trends were more reliable. The market of 2025 was characterized by high volatility—repeated macro shocks and deleveraging interrupted trends, preventing "correct logic" from translating into year-end price targets. Structural changes in the industry's foundation proved more verifiable and stable.

marsbit12/22 03:16

Reviewing Major Institutions' 2025 Bitcoin Price Predictions: Almost All Failed

marsbit12/22 03:16

Average Age 'Post-95s', Over a Billion USD in the Books: MiniMax Knocks on Hong Kong Stock Exchange's Door

MiniMax, a leading Chinese AI startup founded in December 2021 by former SenseTime executives, has filed for an IPO in Hong Kong, potentially becoming one of the fastest AI companies to go public. Specializing in full-spectrum AGI technologies—spanning text, voice, video, and music—MiniMax operates on a dual-strategy of "large model + AI-native applications." As of September 2025, it serves over 212 million individual users across more than 200 countries and regions, along with 100,000+ enterprise clients. Notably, over 70% of its revenue comes from overseas markets. Its AI-native products, including Haiduo AI, Xingye/Talkie, and MiniMax Voice, saw average monthly active users grow sharply to 27.6 million in the first nine months of 2025. Financially, MiniMax reported revenue of $53.4 million for the first three quarters of 2025, a 174.7% year-on-year increase. Despite an adjusted net loss of $186 million during the same period, the company demonstrated improved operational efficiency, with R&D expenses growing only 30% while sales and marketing costs fell 26%. Technologically, MiniMax has released several cutting-edge models: the voice model Speech 02, video generator Video 01 (and its upgrade Hailuo 02), and the open-source MiniMax-M2 text model—ranked among the top five globally. Its M2 model incorporates "Interleaved Thinking" for enhanced reasoning and agentic capabilities. The company is highly R&D-focused, with nearly 80% of its 385 employees in technical roles. The executive team is notably young, with an average age of 32. MiniMax plans to allocate 70% of IPO proceeds to R&D over the next five years to further advance its models and AI-native products.

深潮12/22 02:45

Average Age 'Post-95s', Over a Billion USD in the Books: MiniMax Knocks on Hong Kong Stock Exchange's Door

深潮12/22 02:45

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