Toncoin: How profit-taking pressure can cap TON’s rally

ambcryptoPublicado em 2026-01-19Última atualização em 2026-01-19

Resumo

Toncoin (TON) faced resistance at the $1.70 level, struggling to maintain bullish momentum despite Bitcoin's recent surge. While a breakout above $1.70 could trigger a short-term rally, on-chain data suggests profit-taking may limit gains. The 90-day MVRV ratio increased, and although Open Interest rose, sideways movement in mean coin age indicates a lack of sustained accumulation. Weekly charts remain bearish, with key resistance at $3.75. However, the $1.70 zone has turned to support, offering a potential long entry. Traders are advised to target profits at $2.16 and $2.37, with invalidation below $1.56. A move toward $2.0–$2.37 is possible, but profit-taking is expected to cap upward movement.

Toncoin [TON] faced resistance at the $1.70 region over the past month. The bullish momentum many altcoins saw in the first week of January was inspired by Bitcoin’s [BTC] rally beyond $90k at that time.

While Bitcoin has managed to reclaim $94.5k as support, Toncoin has not exhibited much bullish momentum over the past week, having shed 1.29% over the past week.

In a recent AMBCrypto report, the importance of the $1.70 area was highlighted. A bullish breakout past this level could see a short-term rally ensue, the report concluded.

The on-chain metrics revealed a sizeable uptick in the 90-day MVRV ratio. Further price gains could be capped as holders take profits.

Open Interest had also surged, but the mean coin age was moving sideways. This was a reflection of a lack of network-wide accumulation, which translated to a lack of market conviction.

What the price charts reveal for TON holders

The weekly trend was firmly bearish, as the DMI and the price action showed. The swing point for the bulls to beat on this timeframe was at $3.75, more than double the current market price.

A move beyond this level will signal a bullish long-term trend.

The OBV has not made new lows over the past two months, which was a slight encouragement. The $2.3-$2.4 and the $2.8 levels were the notable supply zones the weekly chart revealed.

Traders’ call to action: Go long and don’t forget to take profits

The short-term bullish momentum was something traders could capitalize on. The OBV and the daily volume bars indicated a flurry of buying from the final week of December.

The imbalance and local supply zone at $1.70 has been flipped to support.

Swing traders can use this flip to buy TON. They need to be cautious and remember to take profits at $2.16 and $2.37, with a drop below $1.56 being invalidation.


Final Thoughts

  • Toncoin’s on-chain metrics showed network-wide accumulation was not underway.
  • A rally to $2.0 and $2.37 appeared possible in the coming weeks, and swing traders must be ready to take profits during the move.

Disclaimer: The information presented does not constitute financial, investment, trading, or other types of advice and is solely the writer’s opinion.

Perguntas relacionadas

QWhat key resistance level has Toncoin (TON) been facing over the past month?

AToncoin has been facing resistance at the $1.70 region.

QAccording to the on-chain metrics, what indicator saw a sizeable uptick, suggesting potential profit-taking pressure?

AThe 90-day MVRV ratio saw a sizeable uptick.

QWhat does the sideways movement of the mean coin age indicate for the Toncoin network?

AIt indicates a lack of network-wide accumulation, which translates to a lack of market conviction.

QWhat is the swing point price level that the bulls need to beat on the weekly timeframe to signal a long-term bullish trend?

AThe swing point for the bulls to beat is at $3.75.

QWhat are the two profit-taking target levels suggested for swing traders in the short term?

AThe suggested profit-taking target levels for swing traders are $2.16 and $2.37.

Leituras Relacionadas

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The Nasdaq Composite plummeted 4.18% on June 5, its biggest single-day drop since April 2025, triggering widespread debate over whether the U.S. stock market has peaked. The sell-off was sparked by a stronger-than-expected U.S. non-farm payrolls report, which fueled fears of economic overheating and pushed back market expectations for Federal Reserve rate cuts, leading to a sharp rise in Treasury yields. The AI sector, the primary driver of the recent bull market, suffered severe losses, with the Philadelphia Semiconductor Index crashing over 10%. Stocks like Nvidia, Broadcom, and Micron led the decline. Concerns are mounting about the sustainability of AI capital expenditures and high valuations, with signs of order cuts for next-generation chips emerging. Analyses point to several warning signs: historically high market valuations (e.g., elevated Shiller CAPE ratio, Buffett Indicator), extreme bullish sentiment indicators, and significant insider selling. The sell-off also caused a key technical breakdown, with the S&P 500 breaking below its short-term moving average and testing its 200-day moving average. Wall Street is divided on the outlook. Bears warn this could be the start of a bubble deflation or a "stagflation" scenario, while bulls view it as a healthy, overdue correction within a bull market driven by solid corporate earnings growth. A more moderate view suggests the easy liquidity-driven rally is over, and markets are entering a phase of fundamental stock-picking with potential for consolidation. The immediate future hinges on key upcoming events: the May CPI report and the mid-June FOMC meeting. Their outcomes will be critical in determining whether this is a temporary pullback or the beginning of a more significant trend reversal. The consensus is that the era of one-directional market gains may be ending, requiring increased investor caution.

Odaily星球日报Há 5m

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

Odaily星球日报Há 5m

The First Case on AI Agents: What Was Adjudicated?

"The First 'Agent' Ruling: What Was Decided?" On April 30, the Guangzhou Internet Court issued a ruling—China's first behavior preservation order in the intelligent agent (AI agent) field. The defendant, an open-source AI agent software, was ordered to stop downloads, cease actions that bypassed a platform's technical protection measures, and delete related tutorials and data. The core issue: the software used the operating system's "accessibility service" permissions to automate user interactions within other apps without those platforms' authorization. This mirrors a recent US case where Amazon sued Perplexity for similar reasons—bypassing Amazon's API to directly scrape and interact with its pages—and won a preliminary injunction. Both rulings establish a crucial legal boundary for the AI agent era: agents cannot operate unchecked. The article argues the fundamental legal principle emerging is one of **dual authorization**. An AI agent requires both **user consent** AND **platform consent** to operate legitimately within that platform's ecosystem. Bypassing platform rules through system-level permissions, even with user permission, undermines platform responsibilities for content moderation, data security, and user privacy, creating liability issues. The piece uses the evolution of "Doubao Phone" (an AI-integrated smartphone) as a case study. Its initial, aggressive version that bypassed platform controls faced roadblocks. Its upcoming 2.0 version is reportedly pivoting to negotiate API access and authorization deals with major platforms (like Alibaba's ecosystem), seen as a strategic adaptation to the new regulatory reality. A global trend is identified: the era of unregulated, "wild west" growth for AI agents is ending, replaced by a **compliance race**. This raises barriers to entry, as securing platform authorizations becomes a new cost. Open-source status is also not a legal shield if the code facilitates bypassing technical protections. In conclusion, these first rulings target not the largest, but the most **aggressive and representative** cases. By setting precedent with them, regulators are efficiently steering the entire industry towards a new, more regulated operating paradigm defined by dual authorization and platform cooperation.

marsbitHá 9m

The First Case on AI Agents: What Was Adjudicated?

marsbitHá 9m

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

In late 2020, Google AI researcher Timnit Gebru was effectively dismissed following a conflict over a 14-page, unpublished research paper she co-authored titled "On the Dangers of Stochastic Parrots." The paper, which has since been cited over 14,000 times, raised critical early warnings about the risks of large language models (LLMs). It argued that these models, trained on vast, biased internet data, are essentially "stochastic parrots" that mimic language without true understanding, potentially amplifying societal biases, generating plausible but false information (later termed "AI hallucination"), consuming massive energy, and obscuring their training data contents. Gebru's stance led to a clash with Google management, who requested the paper's withdrawal. Her subsequent internal criticism of the company's diversity efforts and handling of the matter culminated in her termination, which sparked protests from over 4,000 Google employees and researchers. Six years later, the paper's predictions have proven remarkably prescient. Issues like AI hallucination, embedded bias (evident in resume screening and healthcare algorithms), soaring energy consumption from AI data centers, unvetted training data containing harmful content, and the risk of "model collapse" from AI-generated internet content have become central industry challenges. The incident also highlighted concerns about AI development being driven primarily by commercial competition within a handful of powerful tech companies, often at the expense of ethical considerations. After leaving Google, Gebru founded the Distributed AI Research Institute (DAIR) to explore these issues independently. The controversy underscores how her early, critical insights into the fundamental limitations and societal impacts of LLMs anticipated many of the most pressing dilemmas in today's AI era.

marsbitHá 11m

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

marsbitHá 11m

Elderly Borrow Money to Trade Stocks, Entire Nation Adds Leverage: 'Ant Army' Panics as South Korean Stock Market Plunges

Titled "Panic Among 'Ant Army' as South Korean Stocks Plunge After Elders Borrow to Invest, Everyone Leverages Up," this article details a dramatic reversal in South Korea's red-hot stock market. After a sustained rally toward 9,000 points driven by AI semiconductor hype, the KOSPI index recently crashed, triggering circuit breakers. The sell-off was led by major chipmakers Samsung Electronics and SK Hynix, whose combined weight in the index is over 50%. The plunge exposed the extreme leverage and speculative behavior that fueled the boom. Individual investors, dubbed the "ant army," had borrowed heavily or used leverage ETFs to chase gains, with trading accounts outnumbering the population. A significant portion of this leveraged money came from older citizens, some of whom reportedly cashed out insurance policies to invest. ETF trading became dominated (over 90%) by high-risk leveraged and inverse products. The correction was triggered by a pullback in U.S. tech stocks, leading to a foreign capital exodus and a weakening Korean won, creating a vicious cycle. While President Lee Jae-myung attempted to reassure markets and NVIDIA's CEO signaled support during a visit, officials like Finance Minister Ju Yeong-geun expressed concern over the dangerous "herd mentality." The article highlights a pervasive, high-risk investment culture where everyone from office workers to retirees and even parents opening accounts for newborns sought quick profits, largely concentrated in a few tech stocks, setting the stage for a sharp and painful correction.

marsbitHá 16m

Elderly Borrow Money to Trade Stocks, Entire Nation Adds Leverage: 'Ant Army' Panics as South Korean Stock Market Plunges

marsbitHá 16m

From Hunyuan to WeChat AI: Tencent's Slow Paced Journey Reaches the Delivery Juncture

On June 8, 2026, WeChat's developer platform announced the internal testing of "WeChat AI," an AI assistant integrated into the WeChat ecosystem. It allows users to invoke, access, and operate Mini Programs through natural language conversation. The platform offers two access modes: an "Automatic Mode" where developers authorize platform access to their source code for zero-configuration AI operation, and a "Developer Mode" for building custom skills. While the name "WeChat AI" is provisional, this marks WeChat's first step in opening its vast Mini Program ecosystem—comprising over 400,000 developers and hundreds of millions of daily active users—to AI-driven conversational interaction. This move represents the latest step in Tencent's deliberate AI strategy, moving from technical R&D and standalone product validation to integration within its super-app. The underlying foundation is Tencent's self-developed Hunyuan large language model. Ranked first domestically in application-oriented capabilities like Agent task execution in 2025, Hunyuan's focus on stability and precision over raw parameter count aligns with WeChat AI's need for reliable, low-latency operations involving sensitive tasks like payments and bookings. Prior C-side validation came from "Yuanbao," a standalone AI app whose Monthly Active Users (MAU) surpassed 114 million during the 2026 Chinese New Year红包 campaign, though daily activity later subsided. This "pulse growth" highlighted the challenge of user retention for standalone apps, informing the decision to integrate AI natively into WeChat's high-frequency scenarios. However, WeChat AI's "Automatic Mode," which requires source code access, raises developer concerns about code security, data visibility, and liability for AI errors. A deeper, ecosystem-level tension exists between the efficiency of centralized AI task调度 and the potential "short-circuiting" of merchant pages, which could erode their branding, advertising revenue, and user engagement. As Tencent Chairman Pony Ma noted, balancing centralized AI调度 with the protection of decentralized merchant traffic is a core challenge. In summary, Tencent's AI path—comprising the stable Hunyuan base model, the user-validated Yuanbao app, and the newly testing WeChat AI integration—is logically coherent. The success of WeChat AI now hinges on resolving developer trust, establishing fair ecosystem rules for merchants, and ensuring operational reliability to gain user confidence for deep, transactional use.

marsbitHá 17m

From Hunyuan to WeChat AI: Tencent's Slow Paced Journey Reaches the Delivery Juncture

marsbitHá 17m

Trading

Spot
Futuros

Artigos em Destaque

Como comprar TON

Bem-vindo à HTX.com!Tornámos a compra de The Open Network (TON) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar The Open Network (TON) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu The Open Network (TON)Depois de comprar o teu The Open Network (TON), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona The Open Network (TON)Transaciona facilmente The Open Network (TON) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

525 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar TON

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de TON (TON) são apresentadas abaixo.

活动图片