TAO hits $300-zone again, but when should traders expect next decisive move?

ambcrypto2026-03-21 tarihinde yayınlandı2026-03-21 tarihinde güncellendi

Özet

Bittensor (TAO) revisited the $300 resistance level after a sharp 28% rebound from a low of $242.7, though it struggled to close decisively above the key January swing high of $302.4. While the short-term structure appears bullish on lower timeframes, the RSI suggests overbought conditions and the On-Balance Volume (OBV) shows a bearish divergence, indicating weakening buying pressure. Market momentum in the AI sector has slowed, and Bitcoin’s price action around $70K is likely to influence TAO’s next move. Traders are advised to wait for clearer signals before entering positions, as neither bulls nor sellers currently hold a decisive advantage.

Bittensor [TAO] continued its stellar performance on Thursday and Friday, 19-20 March. In those two days, it registered a 28% move from the low at $242.7 to the high at $310.6.

The AI sector was an outstanding performer during the previous week. However, the sector was unable to maintain its upward momentum this week. At the same time, TAO token’s prices challenged the 1-day timeframe’s swing high at $302.4, made in January.

The bulls were unable to overcome this resistance, but their fight to drive prices higher on Thursday and Friday showed intent. It also marked a lower timeframe bullish continuation.

The long-term holder conviction in Bitcoin [BTC] was growing too as the leading crypto held on to the psychological $70k-level. This could aid TAO buyers in the short-term. Will it also allow the longer-term bear structure to be overcome?

Pitched battle at TAO’s January swing high

Source: TAO/USDT on TradingView

The relative strength of the AI sector has slowed down. As the biggest AI crypto asset, TAO’s momentum has an impact on the sector. The altcoin ran into a long-term resistance level at $302. The subsequent dip to $242 was quickly bought up.

At the time of writing, the RSI was in the overbought territory and indicated an overextended market. Moreover, the price has been unable to close a daily trading session above $302 to signify a swing structure shift.

Interestingly, the daily trading volume has been rising over the past week. This represented an intense battle between bulls and bears at the $300-area. It is unclear who the winner will be, but Bitcoin’s next move will have a big influence on the outcome.

Bullish short-term structure was weakened by volume divergence

Source: TAO/USDT on TradingView

On the 4-hour chart, the structure seemed bullish. The move beyond $300.7 (white) represented a bullish structure break after the retracement to $242.7. At the time of writing, the price had found support at the moving averages, and the RSI was also above the neutral 50-level.

And yet, the OBV made a lower high over the past few days, even as the price pushed higher. This bearish divergence indicated a lack of buying pressure as TAO attempted to breach the $300-resistance.

Traders need to wait and watch Bitcoin’s moves over the weekend to understand where Bittensor token’s prices can go next. Neither buyers nor sellers have a clear advantage right now.


Final Summary

  • Bittensor challenged the $300-psychological level yet again after a brief retracement to $242.
  • Traders should not rush to enter positions, and patience for a day or two can yield more clarity.

Trend Kriptolar

İlgili Okumalar

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit1 saat önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit1 saat önce

İşlemler

Spot

Popüler Makaleler

MOVE Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Movement (MOVE) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Movement (MOVE) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Movement (MOVE) Varlıklarınızı SaklayınMovement (MOVE) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Movement (MOVE) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Movement (MOVE) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

402 Toplam GörüntülenmeYayınlanma 2024.12.13Güncellenme 2026.06.02

MOVE Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların MOVE (MOVE) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片