Stop Focusing Only on Bitcoin—We Are Already in a Bear Market

marsbitОпубліковано о 2025-12-18Востаннє оновлено о 2025-12-18

Анотація

The author argues that the crypto market has been in a bear market for about a year, despite many investors' reluctance to accept it. The peak of market euphoria occurred around November 2024, with the launch of $TRUMP marking the final exuberance. Two key misconceptions are highlighted: First, the meme coin frenzy was not a precursor to an "altseason"—it *was* the altseason itself. Unlike previous cycles with distinct new narratives and liquidity splits between "dumb money" and "hot money," this cycle lacked differentiation, keeping both groups in the same arena. Second, Bitcoin is no longer driven primarily by crypto-native cycles but by institutional and macro factors, meaning its price resilience doesn’t indicate an ongoing bull market. The bear market began after the $TRUMP peak, and the market has since gone through phases of anxiety, denial, panic, and now anger and depression. The author writes to encourage debate, correct flawed mental models, and signal a intention to begin accumulating near what they believe is the bottom.

Author: XY

Compiled by: Tim, PANews

One Year into the Bear Market

It took me some time to convince myself: we are in a bear market, and it has been going on for about a year.

November 2024 was a period of market excitement, and the launch of $TRUMP pushed the market into extreme euphoria—it was the final frenzy that no one wanted to believe was the end.

Below, I will explain my perspective.

It all starts with that old cliché: "History doesn't repeat itself, but it often rhymes."

This foolish saying has been hugely misleading for market analysis—it's downright harmful.

It has made us overly reliant on historical patterns and, at the same time, eroded our ability to question.

Yes, this reliance on historical patterns for prediction is like viewing the world through a prism carved with old designs. It inevitably misinterprets new realities and ultimately causes us to overlook the latest driving factors in the market. This is precisely where the danger lies.

More specifically, we misread two fundamental changes.

Change One

We thought Meme mania was the spark that would ignite altseason, but in reality, Meme mania was altseason itself.

When Meme coins surged one after another, we thought it was just the beginning.

Some talked about altseason, and a few bold ones even mentioned a raging bull market.

We were all wrong.

Keep in mind that previous cycles always featured bubble叠加-bubble phenomena, typically driven by new narratives. These new narratives gave rise to new markets, which often led to differentiation.

This differentiation was important because it split liquidity into two distinct groups.

The first group is dumb money.

This type of capital prefers simple operations, market depth, and low barriers to entry, staying within highly liquid tokens.

The second group is hot money.

This capital actively pursues returns and is willing to overcome complexity to find opportunities.

The subsequent short-term rotation of hot money fueled bullish trends, which eventually evolved into what people called altseason.

This cycle never produced that trend. There was no new narrative to explore this time.

From start to finish, both groups remained in the same arena.

Dumb money could participate effortlessly, and hot money could still profit by getting in early.

Our mistake was expecting an "altseason" to occur.

But it never happened.

The only path the market had was: from Bitcoin to a new narrative, then to altseason.

That used to be the script you wanted.

But the reality is that Meme mania became the altseason people anticipated.

November 2024 marked the peak profitability for most traders, and TRUMP was the climax of the market狂欢.

Change Two

Bitcoin is no longer driven internally by the crypto market but is instead dominated by institutions and macro markets.

And the macro environment follows a different timeline and reacts differently to changes.

After the TRUMP surge, many interpreted Bitcoin's resilience as the market still being in a consolidation or bull market correction phase.

This interpretation stemmed from an anchoring bias based on past experiences: people are accustomed to the idea that Bitcoin must crash sharply to confirm a bear market, applying this to a market structure now dominated by institutions.

This cognitive framework is outdated.

Bitcoin has actually decoupled from the native cryptocurrency market cycle.

Once you recognize this, the subsequent developments make perfect sense.

The bear market began after the MEME coin TRUMP, regardless of Bitcoin's price performance.

So, stop focusing only on Bitcoin.

From January 2025 to the present, the market has fully gone through the three stages of anxiety, denial, and panic. If you've made profits, you can clearly see these stages in the people around you; if you've suffered losses, you've experienced these emotions firsthand.

We are now in the stage of anger and depression.

So, why am I writing this post?

Two reasons.

First, one of the reasons the crypto market has been profitable for me is the ability to buy near the bottom. If you misjudge the market phase, this advantage disappears.

If you think the bear market isn't over yet, you'll keep waiting for the bottom to arrive, unaware that you're already in it.

Second, I hope this perspective sparks fierce debate or helps people become alert and break free from the wrong cognitive framework.

I have extremely high confidence in this judgment.

That's why I will soon start acting to prove my judgment.

Пов'язані питання

QAccording to the author, when did the bear market in cryptocurrency actually begin?

AThe author states that the bear market began around the time of the $TRUMP meme coin frenzy, which was in November 2024, and has been going on for about a year.

QWhat were the two fundamental changes that the author believes most people misread about the market cycle?

AThe two changes were: 1) Meme frenzy was the altcoin season itself, not a precursor to it, and 2) Bitcoin is now dominated by institutional and macro markets, not the internal crypto market cycle.

QWhy does the author argue that there was no traditional 'altcoin season' in this cycle?

AThe author argues there was no traditional altcoin season because no new narrative emerged to create a differentiation between 'dumb money' and 'hot money.' Both groups operated in the same arena of meme coins, so the expected rotation of hot money into other altcoins never occurred.

QWhat is the danger of relying on the saying 'history doesn't repeat itself, but it often rhymes' for market analysis?

AThe author calls this saying misleading and pernicious because it creates a path dependency and reduces our ability to question new realities, causing us to misread new market factors and ignore the latest driving forces.

QWhat is the author's main purpose for writing this article?

AThe author's main purposes are: 1) To help people recognize they are already in a bear market so they can take advantage of buying near the bottom, and 2) To spark debate and help people break free from incorrect cognitive frameworks about the market.

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The Era Has Arrived Where Human Writers Must Prove They Are Not Machines

The article describes an era where AI-generated content is flooding the market, forcing human authors to prove they are not machines. It begins with the example of dozens of AI-written, error-ridden biographies of Henry Kissinger appearing on Amazon within hours of his death, a pattern repeated for other deceased celebrities and even living experts who find fraudulent books under their names. This spam content has exploded, with monthly new book releases on platforms like Amazon reaching 300,000 by late 2025. The issue spans genres, from suspiciously high proportions of AI-written teen romance and self-help books to dangerous, AI-generated foraging guides containing lethal advice. The platforms' automated review systems, designed to catch plagiarism and banned words, are ill-equipped to detect AI-generated text that avoids these pitfalls while being nonsensical or fraudulent. The problem has infiltrated traditional publishing. A major publisher, Hachette, had to recall a bestselling horror novel after AI detection tools suggested 78% of its content was machine-generated. An acclaimed European philosophy book was later revealed to be entirely written by AI under a fake author persona. In response, authors are fighting back. At the 2026 London Book Fair, 10,000 writers published a blank book titled "Don't Steal This Book" containing only their signatures—using emptiness as a protest weapon in an age of AI overproduction. Initiatives like the "Human Author Certification" program have emerged, ironically placing the burden on humans to prove their work is not machine-made. The article warns of a vicious cycle: AI-generated low-quality books pollute the data used to train future AI models, leading to "model collapse" and an ever-worsening flood of digital waste, eroding trust in publishing and devaluing human creativity.

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The King of Blind Date Attire in Korea: How SK Hynix Made a Comeback Against Samsung?

In South Korea's dating scene, SK Hynix employees are now highly sought after, a status shift fueled by the company's astronomical profits and employee bonuses, projected to reach up to 6.1 million RMB per person by 2027. This marks a dramatic reversal for the long-time second-place player in memory semiconductors, which has now surpassed its rival Samsung in annual operating profit. The turnaround story began in 2008 when a struggling Hynix, emerging from bankruptcy restructuring, took a risky bet by agreeing to develop High Bandwidth Memory (HBM) with AMD. At the time, HBM had no clear market beyond high-end graphics cards and was a costly, complex technology. Major players like Samsung, pursuing its own HMC technology, declined. For Hynix, with only memory as its core business, it was a gamble born of necessity. The pivotal moment came in 2012 when SK Group Chairman Chey Tae-won acquired Hynix. Defying industry downturns, he invested heavily in R&D and fabrication, sustaining the HBM project through over a decade of commercial uncertainty and internal challenges. A key break occurred around 2016-2017 when Samsung faced production issues supplying HBM2 for Google's TPU, allowing SK Hynix to gain a crucial foothold in the data center market. The AI explosion post-ChatGPT in 2022 was the catalyst, turning HBM into a critical bottleneck for AI accelerators like NVIDIA's GPUs. By 2025, SK Hynix captured 62% of the global HBM market, leaving Samsung at 17%. For the first time, its annual operating profit exceeded Samsung's. Analysts point to the "innovator's dilemma" to explain Samsung's miss: its vast, successful business portfolio made it risk-averse, preventing an all-in bet on the initially niche HBM technology. In contrast, SK Hynix, as a challenger with its back against the wall, had no choice but to commit fully. The story highlights how Korea's chaebol system allows for ultra-long-term bets beyond quarterly pressures. However, SK Hynix's lead isn't guaranteed. Samsung is aggressively catching up on HBM4, and challenges like customer concentration (heavy reliance on NVIDIA) and technical hurdles in advanced packaging remain. The narrative underscores a market truth: the greatest alpha often comes from betting on uncertain, long-term directions others dismiss, much like HBM in 2008.

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