<div id="readability-page-1"><div><div><p>Author: Nikka, WolfDAO</p><p>At the beginning of 2025, the Bitcoin (BTC) market was filled with frenzied optimism, with institutions and analysts collectively betting that the price would surge to over $150,000 by the end of the year, or even reach $200,000 or higher. However, reality unfolded in a dramatic &#34;contrarian&#34; manner: BTC plummeted by over 33% from its early October peak of approximately $126,000, entering a &#34;bloodbath&#34; mode in November (a single-month drop of 28%), and as of December 10th, the current price has stabilized in the $92,000 range.</p><p>This collective miscalculation deserves in-depth analysis: Why were the predictions at the beginning of the year so consistent? Why were almost all mainstream institutions wrong?</p><p>This collective failure deserves in-depth analysis: Why were the predictions so consistent at the beginning of the year? Why were almost all mainstream institutions wrong?</p><p> ... </p><h2>I. Comparison of Initial Predictions vs. Current Status</h2><h3>1.1 The Three Pillars of Market Consensus</h3><p>At the beginning of 2025, the Bitcoin market was filled with unprecedented optimism. Almost all mainstream institutions gave year-end target prices of over $150,000, with some aggressive predictions even pointing to $200,000-$250,000. This highly consistent bullish expectation was based on three &#34;certain&#34; logics:</p><p><strong>Cyclical Factors: The Halving Curse</strong></p><p>The 12-18 months following the fourth halving (April 2024) have historically seen multiple price peaks.</p><p> After the 2012 halving, Bitcoin rose to $1,150 in 13 months; after the 2016 halving, it broke through $20,000 in 18 months; and after the 2020 halving, it reached $69,000 in 12 months. The market generally believes that the supply-side contraction effect will be delayed, and 2025 is currently in a &#34;historic window.&#34; Funding Expectations: ETF Influx The approval of spot ETFs is seen as the opening of a &#34;gateway for institutional funds.&#34; The market expects cumulative net inflows to exceed $100 billion in the first year, with traditional funds such as pension funds and sovereign wealth funds allocating on a large scale. The endorsement of Wall Street giants such as BlackRock and Fidelity has solidified the narrative of &#34;Bitcoin mainstreaming.&#34; **Policy Support: The Trump Card** The Trump administration's friendly attitude towards crypto assets, including discussions on a strategic Bitcoin reserve proposal and anticipated SEC personnel changes, is seen as long-term policy support. The market believes that regulatory uncertainty will be significantly reduced, clearing obstacles for institutional entry. Based on these three factors, the average target price from mainstream institutions at the beginning of the year reached $170,000, implying an expected increase of over 200% within the year. 1.2 Institutional Forecast Overview: Who is the Most Aggressive? The table below summarizes the year-end forecasts of 11 mainstream institutions and analysts. Comparing these to the current price ($92,000), the discrepancies are readily apparent: [Image of forecast distribution characteristics] Aggressive (8 institutions): Target price $150,000+, average deviation exceeding 80%. Representative institutions include VanEck, Tom Lee, and Standard Chartered. Moderate (2 institutions) JPMorgan provides a range forecast, Flitpay offers bull and bear scenarios, preserving downside potential. Contrarian (1 institution): Only MMCrypto explicitly warned of a crash risk, becoming the only accurate predictor. It's worth noting that the most aggressive predictions came from the most well-known institutions (VanEck, Tom Lee), while accurate predictions came from a relatively small group of technical analysts. II. Root Causes of Misjudgment: Why Did Institutional Predictions Collectively Fail? 2.1 Consensus Trap: When &#34;Positive News&#34; Loses Its Marginal Effect. Nine institutions unanimously bet on &#34;ETF inflows,&#34; forming a highly homogenized prediction logic. When a factor is fully recognized by the market and reflected in prices, it loses its marginal driving force. At the beginning of 2025, ETF inflow expectations were already fully priced in—every investor knew about this &#34;positive&#34; factor, and prices had already reacted in advance. What the market needs is &#34;exceeding expectations,&#34; not &#34;meeting expectations.&#34; ETF inflows for the whole year fell short of expectations, with net outflows of $3.48-4.3 billion in November. More importantly, institutions ignored the fact that ETFs are a two-way channel—when the market turns, they not only fail to provide support but also become a highway for capital flight. When 90% of analysts are telling the same story, that story has lost its alpha value. 2.2 Cycle Model Failure: History Doesn't Simply Repeat Itself. Institutions like Tom Lee and VanEck heavily rely on the historical pattern of &#34;price peaks 12-18 months after halving,&#34; believing that cycles will automatically materialize. </p><p><strong>Major Environmental Changes:</strong>The macroeconomic environment in 2025 is fundamentally different from historical cycles:</p><ul><li>2017: Global low interest rates, loose liquidity</li><li>2021: Pandemic stimulus, central bank easing</li><li>2025: The aftermath of the most aggressive interest rate hike cycle in 40 years, the Fed remains hawkish</li></ul><p><img src="https://imageproxy.pbkrs.com/https://img.foresightnews.pro/202512/842-1765785257296?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="2765" height="1880" original-src="https://imageproxy.pbkrs.com/https://img.foresightnews.pro/202512/842-1765785257296"/></p><p>The Fed's interest rate cut expectations have changed from the beginning of the year...</p><p>The 93% drop plummeted to 38% in November. This abrupt shift in monetary policy is unprecedented in historical halving cycles. Institutions treat &#34;cycles&#34; as deterministic laws, ignoring their inherent probability distribution and high dependence on the macro liquidity environment. When environmental variables fundamentally change, historical models inevitably fail. 2.3 Conflicts of Interest: Structural Bias of Institutions Top institutions such as VanEck, Tom Lee, and Standard Chartered exhibit the largest biases (over +100%), while niche institutions like Changelly and MMCrypto are the most accurate. Institutional size is often negatively correlated with forecast accuracy. Root Cause: These institutions are stakeholders themselves: VanEck: Issues Bitcoin ETF products Standard Chartered: Provides crypto asset custody services Fundstrat: Serves clients holding crypto assets Tom Lee: Chairman of Ethereum Treasury BMNR Structural Pressure: Bearish sentiment is tantamount to shooting themselves in the foot. If they release bearish reports, it's like telling clients, &#34;Our products are not worth buying.&#34; This conflict of interest is structural and unavoidable. Clients need a target price of &#34;$150,000+&#34; to justify their positions. Most of the clients served by these institutions entered the market at mid-bull market highs, with holding costs between $80,000 and $100,000. They need analysts to provide a target price of &#34;$150,000+&#34; to justify their decisions and to provide psychological support for continuing to hold or even adding to their positions. Aggressive predictions are more likely to receive media coverage. Headlines like &#34;Tom Lee predicts Bitcoin at $250,000&#34; obviously get more clicks and shares than conservative predictions. The exposure from aggressive predictions directly translates into institutional brand influence and business traffic. Well-known analysts find it difficult to overturn their past positions. Tom Lee rose to fame for accurately predicting the Bitcoin rebound in 2023, establishing a public image as a &#34;bullish standard-bearer.&#34; In early 2025, even if he had reservations about the market, it would be difficult for him to publicly refute his optimistic stance. 2.4 Liquidity Blind Spot: Misjudging Bitcoin's Asset Attributes The market has long been accustomed to comparing BTC to &#34;digital gold,&#34; considering it a safe-haven asset against inflation and currency devaluation. However, in reality, Bitcoin is more like a Nasdaq tech stock, extremely sensitive to liquidity: when the Federal Reserve maintains a hawkish stance and liquidity tightens, BTC's performance is closer to high-beta tech stocks than safe-haven gold. The core contradiction lies in the inherent conflict between Bitcoin's asset characteristics and a high-interest-rate environment. When real interest rates remain high, the attractiveness of zero-yield assets systematically declines. Bitcoin neither generates cash flow nor pays any interest; its value depends entirely on &#34;someone being willing to buy it at a higher price in the future.&#34; In a low-interest-rate era, this isn't a problem—money in the bank doesn't yield much return anyway, so why not take a gamble? However, when the risk-free rate of return reaches 4-5%, the opportunity cost for investors increases significantly, and Bitcoin, as a zero-yield asset, lacks fundamental support. The most fatal misjudgment was that almost all institutions presupposed that &#34;the Fed's rate-cutting cycle is about to begin.&#34; At the beginning of the year, the market priced in 4-6 rate cuts throughout the year, with a cumulative reduction of 100-150 basis points. But the November data gave a completely opposite answer: the risk of a rebound in inflation reignited, rate-cutting expectations completely collapsed, and the market shifted from expecting &#34;rapid rate cuts&#34; to pricing in &#34;maintaining high interest rates for a longer period.&#34; When this core assumption collapsed, all optimistic predictions based on &#34;loose liquidity&#34; lost their foundation. Conclusion: The collective failure in 2025 tells us that **accurate prediction is itself a false proposition**. Bitcoin is influenced by numerous variables, including macroeconomic policies, market sentiment, and technical factors, making it difficult for any single model to capture this complexity. Institutional predictions are not without value—they reveal the mainstream market narrative, funding expectations, and sentiment direction. The problem is that when predictions become consensus, consensus becomes a trap. True investment wisdom lies in understanding the market's thinking through institutional research reports, but not letting it dictate your actions. When VanEck and Tom Lee are collectively bullish, you need to ask not &#34;Are they right?&#34; but &#34;What if they're wrong?&#34; Risk management always takes precedence over profit prediction. History repeats itself, but never in a simple, predictable way. Halving cycles, ETF narratives, policy expectations—these logics all failed in 2025, not because the logic itself was flawed, but because the environmental variables fundamentally changed. Next time, the catalysts will have different names, but the market's overly optimistic nature will remain the same. Remember this lesson: independent thinking is more important than following authority, dissenting voices are more valuable than mainstream consensus, and risk management is more crucial than accurate prediction. This is the true moat for long-term survival in the crypto market.</p></div></div></div>

GBTC

<p>In early 2025, Bitcoin market predictions by institutions were highly optimistic, expecting prices to exceed $150,000. However, BTC dropped over 33% from its October peak of $126,000, stabilizing around $92,000 by December. The collective miscalculation is attributed to over-reliance on historical patterns, ETF inflows, and policy support, which failed to account for changing macroeconomic conditions and the marginal effect of positive news. Only MMCrypto accurately predicted the crash, highlighting the pitfalls of consensus-driven forecasts.</p>

A comprehensive review of Bitcoin market predictions for 2025: Why did institutional forecasts collectively fail?