Coin Press - Bitcoin slump stirs doubt


Bitcoin slump stirs doubt




The cryptocurrency that promised to replace central banks has just recorded the biggest single‐day drop in its history. In early February 2026, Bitcoin plummeted from around $72,000 to about $63,000 within hours, its sharpest one‑day fall since the November 2022 rout. According to exchange data, more than $1 billion in leveraged positions were liquidated during the plunge and roughly $2 trillion in crypto market value evaporated in the month leading up to the crash.

This freefall followed a record liquidation event in October 2025, when more than $19 billion worth of cryptocurrency bets were wiped out after U.S. trade tensions triggered panic selling. That 24‑hour wipeout was nine times larger than the February 2025 crash and dwarfed the FTX collapse. Bitcoin briefly dropped below $105,000 during the October chaos, and despite a partial recovery the seeds of doubt were sown.

Several factors converged to turn a routine correction into a historic rout:
Hawkish policy fears: Markets were rattled by expectations that U.S. monetary policy could tighten under a new Federal Reserve chair. Investors interpreted political appointments and hawkish rhetoric as a sign that money supply growth could slow, removing a key source of liquidity for speculative assets.

Leverage and liquidations: On‑chain data show a rapid unwinding of leverage. Futures open interest dropped from $61 billion to $49 billion within a week, a decline of more than 20 %. Analysts estimate that roughly $3–4 billion in positions were forcibly closed during the selloff.

Vanishing buyers: Unlike previous crashes triggered by a single news event, the 2026 decline was driven by a lack of demand. Market depth had fallen more than 30 % below its October peak, on par with the liquidity vacuum after the FTX collapse. Spot exchange‑traded funds bled billions of dollars as mainstream investors fled, and institutional treasuries eased purchases. A prolonged outflow of nearly $4 billion in the first five weeks of the year reversed the inflows that had fuelled the 2024 rally.

Changing narratives: Bitcoin’s reputation as “digital gold” took a hit. Despite geopolitical stress, currency weakness and violent swings in gold and silver, crypto prices failed to rally. As capital rotated into artificial‑intelligence stocks and precious metals, Bitcoin appeared to be yesterday’s story.

Policy shocks and tariffs: In October 2025 the U.S. administration imposed 100 % tariffs on Chinese imports. This sparked an exodus from risk assets, including cryptocurrencies, and set the stage for the later collapse. Analysts say the October crash cleaned out excessive leverage but left the market vulnerable.
Investor sentiment turns sour

Across forums and trading desks, the mood has shifted from bravado to resignation. Some investors derided Bitcoin as a “bubble” or compared it to imaginary game currency. Others likened the latest crash to gambling and warned that speculators would eventually be flushed out. Environmental concerns resurfaced; critics argued that mining costs now exceed the coin’s intrinsic value. The absence of dip‑buyers was notable: a culture that once rallied around “buy the dip” memes was strangely quiet.

Yet not everyone has given up. A cohort of long‑term believers view the drop as a chance to accumulate. They point to Bitcoin’s programmed scarcity and halving cycles and argue that regular dollar‑cost‑averaging has historically been rewarded. Indeed, after every bear‑market year since 2013, Bitcoin has staged a strong rebound: it rallied 35 % in 2015, 95 % in 2019 and 156 % in 2023. April tends to be a good month, with an average gain of 13 %, although there are no imminent halving‑driven catalysts until 2028. Some small investors are increasing their regular purchases during the downturn, betting that patience will pay off.

A crisis of confidence
The crash has amplified a broader crisis of confidence. Analysts note that Bitcoin is currently trading nearly three standard deviations below its 200‑day moving average, a level unseen in more than a decade. On 5 February the coin registered a −6.05σ move on a rate‑of‑change index, placing the drop among the fastest on record. Historical comparisons show that previous declines of this magnitude typically mark late‑stage stress, but they do not always signal a bottom.

Market depth remains thin, and liquidity contraction suggests that further downside is possible. Analysts warn that if prices continue to fall, miners could be forced to liquidate holdings to fund operations, potentially creating a vicious cycle. There is also renewed debate about the resilience of Bitcoin’s underlying technology: concerns about quantum‑computing threats and the energy cost of mining have resurfaced.

Looking ahead
Despite the gloom, some observers urge perspective. Bitcoin has survived multiple boom–bust cycles over its 17‑year existence, and each has ultimately attracted a broader base of users and infrastructure. The recent crash was driven by deleveraging rather than structural failure; 90‑day realised volatility remains well below levels seen in the 2022 bear market. Institutional adoption continues in areas such as stablecoins and tokenised assets, and on‑chain flows suggest that capital is rotating from smaller altcoins back into the flagship cryptocurrency.

Even so, recovery may be slow. Analysts at Kaiko estimate that crypto markets are only a quarter of the way through the current downcycle and expect it could take six to nine months before volumes and prices stabilise. Others caution that a new all‑time high may not arrive for several years. Until then, investors are left to decide whether Bitcoin’s historic crash is a buying opportunity or the beginning of a long slide into irrelevance.

Metric Value Context
Lowest price during Feb 2026 crash ≈$63,300 Weakest level since Oct 2024
One‑day price drop ~12.6 % Largest single‑day fall since Nov 2022
Positions liquidated >$1 billion Forced liquidation in 24 hours
Market value lost $2 trillion Crypto market loss since Oct 2025 peak
Futures open interest decline −20 % From $61 B to $49 B in a week
January 2026 decline −11 % Fourth straight monthly loss, longest streak since 2018
ETFs net outflows (early 2026) ≈$4 billion Reversal of 2024 inflows
Historic liquidations (Oct 2025) >$19 billion Largest crypto liquidation in history
Altcoin drawdowns during Oct 2025 crash HYPE −54 %, DOGE −62 %, AVAX −70 % Altcoins were hit harder than Bitcoin

 



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Long live Ukraine - Хай живе Україна - Да здравствует Украина

Es lebe die Ukraine - Да здравствует Украина - Long live Ukraine - Хай живе Україна - Nech žije Ukrajina - Länge leve Ukraina - תחי אוקראינה - Lang leve Oekraïne - Да живее Украйна - Elagu Ukraina - Kauan eläköön Ukraina - Vive l'Ukraine - Ζήτω η Ουκρανία - 乌克兰万岁 - Viva Ucrania - Ať žije Ukrajina - Çok yaşa Ukrayna - Viva a Ucrânia - Trăiască Ucraina - ウクライナ万歳 - Tegyvuoja Ukraina - Lai dzīvo Ukraina - Viva l'Ucraina - Hidup Ukraina - تحيا أوكرانيا - Vivat Ucraina - ขอให้ยูเครนจงเจริญ - Ucraina muôn năm - ژوندی دی وی اوکراین - Yashasin Ukraina - Озак яшә Украина - Živjela Ukrajina - 우크라이나 만세 - Mabuhay ang Ukraine - Lenge leve Ukraina - Nyob ntev Ukraine - Да живее Украина - გაუმარჯოს უკრაინას - Hidup Ukraine - Vivu Ukrainio - Længe leve Ukraine - Živjela Ukrajina - Жыве Украіна - Yaşasın Ukrayna - Lengi lifi Úkraína - Lank lewe die Oekraïne

Stargate project, Trump and the AI war...

In a dramatic return to the global political stage, former President Donald J. Trump, as the current 47th President of the United States of America, has unveiled his latest initiative, the so-called ‘Stargate Project,’ in a bid to cement the United States’ dominance in artificial intelligence and outpace China’s meteoric rise in the field. The newly announced programme, cloaked in patriotic rhetoric and ambitious targets, is already stirring intense debate over the future of technological competition between the world’s two largest economies.According to preliminary statements from Trump’s team, the Stargate Project will consolidate the efforts of leading American tech conglomerates, defence contractors, and research universities under a centralised framework. The former president, who has long championed American exceptionalism, claims this approach will provide the United States with a decisive advantage, enabling rapid breakthroughs in cutting-edge AI applications ranging from military strategy to commercial innovation.“America must remain the global leader in technology—no ifs, no buts,” Trump declared at a recent press conference. “China has been trying to surpass us in AI, but with this new project, we will make sure the future remains ours.”Details regarding funding and governance remain scarce, but early indications suggest the initiative will rely heavily on public-private partnerships, tax incentives for research and development, and collaboration with high-profile venture capital firms. Skeptics, however, warn that the endeavour could fan the flames of an increasingly militarised AI race, raising ethical concerns about surveillance, automation of warfare, and data privacy. Critics also question whether the initiative can deliver on its lofty promises, especially in the face of existing economic and geopolitical pressures.Yet for its supporters, the Stargate Project serves as a rallying cry for renewed American leadership and an antidote to worries over China’s technological ascendancy. Proponents argue that accelerating AI research is paramount if the United States wishes to preserve not just military supremacy, but also the economic and cultural influence that has typified its global role for decades.Whether this bold project will succeed—or if it will devolve into a symbolic gesture—remains to be seen. What is certain, however, is that the Stargate Project has already reignited debate about how best to safeguard America’s strategic future and maintain the balance of power in the fast-evolving arena of artificial intelligence.

Ukraine sends ground robots

Ukraine is putting ground robots to work on a scale that is beginning to change how its army supplies positions, evacuates casualties and conducts some of its most dangerous combat missions. The significance lies in the gradual transfer of battlefield exposure from people to machines. For a force under sustained pressure to preserve experienced soldiers, that change could matter well beyond the individual missions captured on video.The expansion is measurable. By early September 2026, Ukraine’s DELTA battlefield management system had recorded approximately 112,000 logistics and evacuation missions by ground robotic systems since the start of the year. The monthly total rose from 7,511 in January to 25,143 in August, an increase of roughly 3.3 times. These figures describe missions, not the number of robots deployed, and they should not be read as a tally of successful attacks or lives saved. They nevertheless show how far the technology has moved into routine military activity.Supply work explains much of its value. Ammunition, food and water still have to reach troops in positions exposed to surveillance and attack. Wounded soldiers still have to be brought out. A remotely operated vehicle can undertake part of that movement while its operator remains elsewhere. The load may be ordinary; the route is what makes the task dangerous. Repeated across many positions, reducing the number of journeys made by people can alter the daily burden on an infantry force.The strongest case for a robot is often the journey it allows a soldier to avoid. That changes the economics of military equipment. The purchase price matters, but so do the consequences of losing it. A destroyed machine consumes production capacity and money. A lost soldier also removes training, experience and relationships that cannot be replaced on a factory schedule. This is why an apparently modest cargo platform can have greater practical importance than a more spectacular experimental weapon.Combat applications are developing alongside that logistical role. Ukraine’s Third Army Corps includes NC13, a unit specialising in ground robotic operations. In September, corps commander Andrii Biletskyi described an ambition to replace around a third of the corps’ frontline personnel with robots by the end of the year. That remains an objective for a particular formation, rather than a demonstrated reduction across the Ukrainian army. It signals how seriously some commanders now regard the technology.There is a longer history behind the sudden attention. In December 2024, the Khartiia Brigade used a coordinated force of aerial drones and ground robots in an assault near Hlyboke in the Kharkiv region. More than 50 unmanned systems took part. The operation demonstrated that different remotely operated platforms could be combined for surveillance, fire support and attack. It also exposed the limits: ground conditions disabled some machines, and soldiers were still needed to secure and hold the territory afterwards.Those distinctions remain essential. An unmanned vehicle has no crew aboard; that does not make it an autonomous decision-maker. Remote operation, assistance with navigation and independent target selection are different capabilities. Much of the operational change visible in Ukraine concerns the first of these. Human operators, commanders and technicians remain central to making the equipment useful. Describing every remotely controlled vehicle as an artificial intelligence weapon obscures both its present strengths and its weaknesses.The physical environment imposes constraints that software cannot simply remove. A ground vehicle must negotiate soil, vegetation, rubble and obstacles that an aircraft may pass over. Its camera sees from a low position. Communications can be intermittent, and movement through complex terrain requires information that may be incomplete or already outdated. Research on small military robot teams has long identified the combination of restricted visibility, difficult navigation and unreliable communication as a central challenge. Ukraine is testing those problems under combat conditions.Scaling the fleet therefore requires a larger support system. More vehicles mean more operators to train, more repairs, more replacement components and a greater need to coordinate machines with the soldiers around them. The useful measure is how many tasks can be completed reliably over time. A large delivery of equipment can look impressive while leaving unanswered questions about serviceability, workload and availability after repeated deployments.Nor does removing a crew eliminate risk. Operators still work within a military system exposed to attack, and a machine that fails during an evacuation may leave a casualty in danger. Remote control changes where human vulnerability sits. It does not make the mission consequence-free. Reliability is particularly important when the payload is a wounded person rather than ammunition, and success in one role cannot automatically establish suitability for another.The likely effect on the fighting is therefore uneven. Robotic systems can ease dangerous supply tasks and support selected assaults while remaining poorly suited to others. Their value depends on the terrain, the communications environment and the organisation using them. A successful demonstration offers evidence of a capability; repeated use establishes whether a formation can depend on it.Ukraine’s developing robot force is best understood through that practical test. Can it keep a position supplied with fewer exposed soldiers? Can it bring someone back who would otherwise remain stranded? Can it reduce the personnel required for a dangerous task without creating a greater burden elsewhere? The answers will determine how much battlefield activity can move to machines. For the soldiers still holding the line, those gains are substantial enough without the promise of a war fought without people.