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The Minister of Finance confirmed the U.S. plans to create a bitcoin reserve
U.S. Treasury Secretary Scott Bessent confirmed President Trump's course on favorable regulation of digital assets and the creation of a state bitcoin reserve. At the World Economic Forum in Davos, he said that the government would stop selling confiscated bitcoins and add them to the country's digital assets reserve.

Trump filed a lawsuit against JPMorgan Chase and its CEO
Donald Trump filed a lawsuit against JPMorgan Chase and its CEO Jamie Dimon, accusing the institution of intentional debanking. He demands to recognize the bank's actions as illegal and pay $5 billion in compensation.
The document states that in February 2021, after the events around the Capitol, JPMorgan closed the accounts of Trump and related persons without explanation, effectively depriving them of access to banking services.

The American Banking Association (ABA) reported that containing the growth of stablecoin yields will be one of its main priorities in 2026. The body advocates preventing the transformation of payment stablecoins into functional analogues of bank deposits. In particular, banks insist on prohibiting the payment of interest, profitability or any form of remuneration to the owners of these assets.

The beginning of the week for bitcoin was marked by a decline. On January 19, the first cryptocurrency fell from $94,000 to about $92,000, in the following days the rate gradually decreased and on January 21 almost reached $87,000. By the end of the week, the asset remained in the range of $88,000-$91,000, demonstrating volatility throughout each day. At the time of writing, bitcoin is trading near $:

QCP Capital noted that the markets have switched to risk avoidance due to the escalation of geopolitical tension, which also negatively affects bitcoin. They pointed to the yield of Japan's 10-year government bonds, which increases concerns about the stability of the country's public finances with a public debt of more than 240% of GDP.
In addition, the United States imposes new duties on goods from eight European countries due to disputes over control over Greenland, which threatens to freeze the trade agreement with the EU. In such conditions, bitcoin does not perform the function of a protective asset, but behaves as a highly volatile tool, sensitive to changes in rates and geopolitics, analysts noted.

Against the background of the fall of bitcoin, Bloomberg Intelligence senior strategist Mike McGlown predicts a possible return of cryptocurrency to $10,000 in 2026. He called it a "strength test" for the market: the breakdown of the 200-day moving average in 2025 and the rebound in 2026 may mean the end of the current growth cycle. According to him, keeping the price below $100,000 indicates a potential phase change and a return to the level of $10,000.
Traders in the options market expect bitcoin to fall below $80,000 by mid-2026.
Movements of bitcoin whale
Institutional investors continue to actively accumulate bitcoin, said CryptoQuant CEO Ki Young Joo. According to him, wallets from the United States, which do not belong to exchanges or miners and contain from 100 to 1,000 BTC, have increased their reserves by more than 577,000 BTC over the past year - by about $53 billion, although this amount also includes the assets of exchange-traded funds (ETF).
CryptoQuant also added that new whales control most of the realized capitalization (Realized Cap) of bitcoin. We are talking about addresses with more than 1000 BTC purchased less than 155 days ago. According to experts, Realized Cap reflects the value of coins at the price of the last on-chain transaction, so the dominance of new whales indicates a recent change of owners of a significant part of the bitcoin supply at higher prices.
Analysts noted that during the recent downturns, whales recorded the greatest losses, selling at drawdowns and leaving during short-term rebounds, which indicates a lack of long-term confidence and a desire to minimize losses.
Long-term forecasts
Justin Bones, founder and CIO of Cyber Capital investment company, said that bitcoin may collapse within 7-11 years due to a fundamentally unstable security model. He explains this by a gradual reduction in the security budget due to halvings, as well as the risks of 51% attacks, censorship and double spending in the medium term.
ARK Invest has a different forecast. The Big Ideas 2026 report states that the capitalization of the crypto market will grow to $28 trillion by 2030, while bitcoin will occupy more than half of this amount, and the average annual market growth rate will be 61%, in particular for bitcoin - 63% per year.
The price of bitcoin on the Paradex exchange has fallen to zero
On January 19, 2026, on the decentralized Paradex exchange in the Starknet ecosystem, the cost of bitcoin fell to zero, causing a wave of liquidations. The amount of losses and the number of liquidated users are still unknown.

pump.fun announced the launch of an investment division
The platform for creating memecoins pump.fun announced the launch of the investment division of the Pump Fund and the Build in Public hackathon with a prize fund of $3 million. The initiative is aimed at rethinking approaches to launching and financing projects at the early stages of development.
As part of the hackathon, 12 projects will receive $250,000 each with an estimate of $10 million, as well as mentoring and expert support. The selection will be held according to the level of user interest - funding will be given to the teams that can attract the greatest attention of the community.

Grok 4 showed the best result among 8 AI models in stock market tradin

The Tesla Owners Silicon Valley community reported that the Grok 4 chatbot from xAI is leading the intermediate results of the trading experiment. As of January 21, 2026, as part of the Rallies AI Arena project, eight leading AI models are competing in the stock market, each with an initial capital of $100,000.
Since November 2025, models have been trading shares in real time without restrictions. Grok 4 shows a yield of about +7%, which is a profit of $6979 from the starting amount.
Anthropic called the export of Nvidia chips to China an "analogous of nuclear weapons supplies"
Anthropic CEO Dario Amodeus sharply criticized the AI chip export policy during the World Economic Forum in Davos. He questioned the recent decision of the U.S. administration to allow the supply of high-performance processors to China. Amodeus said that the export of such technologies could have "incredible consequences for national security", since AI models are a form of scalable intelligence. According to him, such systems can be compared to "a whole country of geniuses in the data center".

ChatGPT will start automatically determining the age of users
OpenAI has implemented a behavioralbased age prediction system in ChatGPT to automatically identify underage users and apply enhanced content restrictions to them. Users who are mistakenly identified as children will be able to confirm their age through verification. This function aims to strengthen the protection of children in response to the growing concern about the impact of AI on adolescents.

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Create Long Term Deflation and Shape Its Price in the Next Bull Cycle?
The $VANRY token introduces a rare and structurally meaningful approach to token economics by linking supply reduction directly to real utility through its AI subscription burn mechanism. Unlike traditional burn models that rely on temporary hype, manual burns, or inflation-funded rewards, Vanar’s model is rooted in recurring economic activity. Every time developers, enterprises, or applications use Vanar’s AI services such as data processing, AI agents, or on-chain intelligence toolsthey must pay in $VANRY . A portion of this revenue is then used to buy back tokens from the open market and permanently burn them. This creates a direct bridge between platform adoption and token scarcity, turning utility growth into deflationary pressure.

From an economic perspective, this design has strong potential to generate long-term deflation, but only if Vanar’s AI ecosystem achieves sustained adoption. Deflation is not automatic; it depends on whether the volume of tokens burned consistently exceeds the number of tokens entering circulation through staking rewards, ecosystem incentives, and token unlocks. If AI subscriptions scale alongside broader Web3 and enterprise adoption, the burn rate can gradually reduce circulating supply year after year. This would transform Vanry from a purely transactional token into a scarcity driven asset supported by real demand.

The most powerful aspect of this mechanism is that it is fueled by external value entering the system. Companies and developers are not burning tokens for cosmetic reasons they are paying for services they need. This means the burn is backed by real economic usage rather than internal token recycling. Over time, this creates a positive feedback loop: more AI usage leads to more $VANRY demand, which leads to more burning, which reduces supply and strengthens the token’s scarcity narrative. In contrast to many projects where burns are marketing tools, Vanar’s model resembles a business reinvesting revenue into share buybacks.In the next bull cycle, this mechanism could significantly influence $VANRY ’s price behavior across different phases. During the early stage of the bull market, when capital rotates into AI and infrastructure narratives, VANRY may benefit from its dual identity as both an AI token and a utility-driven deflationary asset. Investors tend to favor projects with clear value capture models, and visible on chain burns provide transparent proof of that value capture. This could support steady accumulation and relatively stronger price stability compared to purely speculative tokens.
As the bull cycle enters its peak phase, narratives become amplified. A token that “burns itself through AI usage” is a powerful and simple story for retail investors to understand. If adoption metrics and burn data show consistent growth, speculation may push price far above fundamental valuation in anticipation of future deflation. In this stage, scarcity combined with hype can create sharp upward price movements. However, this also introduces the risk of overvaluation, where price runs far ahead of actual revenue and burn impact.

During the later stages of the cycle and into a market correction, the burn mechanism could act as a stabilizing force. If AI subscriptions continue even in weaker market conditions, the system may burn more tokens when prices fall because the same dollar value of revenue buys more $VANRY from the market. This dynamic can strengthen downside support and encourage long-term holders to accumulate during dips. While it cannot fully protect against macro bear markets, it can reduce long-term inflation and soften drawdowns compared to tokens with no utility-driven demand.
Compared to other deflationary models in crypto, Vanar’s approach is structurally stronger. Many projects rely on transaction fee burns, which fluctuate wildly with market activity, or on artificial supply cuts that do not reflect real economic usage. Vanar’s burn is tied to subscription-based AI services, which are recurring by nature and potentially scalable with enterprise adoption. This gives VANRY a closer resemblance to a revenue-backed asset than to a purely speculative token.

However, risks remain. The entire model depends on Vanar’s ability to compete in the fast-growing AI and blockchain sector. If its AI services fail to attract developers or enterprises, burn volumes will remain low and inflationary forces may dominate. Token price volatility can also reduce the effectiveness of the burn, since higher prices mean fewer tokens are removed per dollar of revenue. Additionally, broader crypto market conditions will still heavily influence price behavior regardless of tokenomics.
In conclusion, $VANRY ’s AI subscription burn mechanism has genuine potential to create long-term deflationary pressure because it is rooted in real utility, recurring revenue, and transparent on-chain execution. If Vanar successfully grows its AI ecosystem, the token could benefit from a powerful combination of increasing demand and decreasing supply. Over the next bull cycle, this design may support stronger price resilience, a compelling investment narrative, and higher long-term valuation compared to inflationary tokens. The burn mechanism is not a guarantee of success, but it is a well-engineered engine for value accrual—one that can only reach its full potential if the Vanar ecosystem itself achieves meaningful adoption.
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