NEAR traders, don’t FOMO yet – THESE 2 levels may halt the 44% rally

ambcryptoPublished on 2026-03-03Last updated on 2026-03-03

Abstract

NEAR Protocol's token has surged 44% from last week's low, with a 13% gain in the past 24 hours and an 81% increase in Open Interest. Despite strong short-term bullish momentum and high spot trading volume, the long-term trend remains bearish since October. Key resistance levels at $1.5 and $1.67 may halt the rally, and a breakout above $1.89 is needed to confirm a bullish reversal. Traders are advised to avoid FOMO and wait for a confirmed breakout before considering long positions.

NEAR Protocol’s token has rallied 13.02% in the past 24 hours. It was up 44% since last Tuesday’s low at $0.953. In a week, its Open Interest has leapt by 81%, according to Coinalyze data.

The swift short-term gains and the heightened speculative interest suggested the bullish momentum was strong. It appeared the crypto AI sector was performing well, overall. Altcoins such as Bittensor [TAO] and Virtuals Protocol [VIRTUAL] also showed short-term bullishness.

High spot volume reflected NEAR bulls’ conviction

NEAR Protocol token prices slipped below a long-term range during the sell-off toward the end of 2025.

In doing so, the $1.82-$1.88 area was established as a supply zone. The $1.42 support from December was broken toward the end of January, showing seller dominance.

At the time of writing, the same resistance level was being retested. The MACD was about to form a bullish crossover above the zero line.

The spot trading volume has been above the 20-day moving average for the past six days.

This caused the A/D indicator to creep higher, making slightly higher highs compared to February. Overall, the buying volume hinted at a breakout beyond $1.42.

At the same time, swing traders and investors must remember that the long-term NEAR trend has been bearish since October.

Traders should not FOMO into long positions yet

Given the short-term momentum, this idea seems counterintuitive. Yet, traders must respect the long-term trends. The bearish swing move from $1.89 down to $0.84 needs to be closely examined.

Zooming in on the same 1-day chart, two imbalances and key Fibonacci retracement levels were highlighted.

The $1.5 and $1.67 were the notable resistances where the current move would likely halt.

Based on the evidence at hand, traders should curb their eagerness to go long on NEAR. Meanwhile, a breakout beyond $1.89 is needed to confirm a bullish swing structure. A retracement from such a breakout would be a buying opportunity.


Final Summary

  • The NEAR Protocol price action has been strongly bullish over the past week, alongside some of the other notable crypto AI tokens.
  • This short-term bullishness masked a longer-term downtrend.

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

Trending Cryptos

Related Questions

QWhat are the two key resistance levels that might halt NEAR's 44% rally according to the article?

AThe two key resistance levels that might halt the rally are $1.5 and $1.67.

QWhat does the significant increase in Open Interest for NEAR, as per Coinalyze data, indicate about market sentiment?

AThe 81% leap in Open Interest over a week indicates heightened speculative interest and strong bullish momentum in the short term.

QWhy does the article advise traders against FOMO (Fear Of Missing Out) into long positions on NEAR despite the recent bullish momentum?

AThe article advises against FOMO because the long-term trend has been bearish since October, and a breakout beyond the key resistance of $1.89 is needed to confirm a bullish swing structure.

QWhat technical indicator was about to form a bullish crossover above the zero line, signaling potential upward momentum?

AThe MACD indicator was about to form a bullish crossover above the zero line.

QWhat broader sector does the article mention as performing well overall, contributing to the bullishness of tokens like NEAR?

AThe article mentions that the crypto AI sector was performing well overall, contributing to the short-term bullishness of tokens like NEAR, Bittensor [TAO], and Virtuals Protocol [VIRTUAL].

Related Reads

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.

marsbit43m ago

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

marsbit43m ago

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.

marsbit47m ago

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

marsbit47m ago

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.

marsbit47m ago

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

marsbit47m ago

Trading

Spot

Hot Articles

How to Buy T

Welcome to HTX.com! We've made purchasing Threshold Network Token (T) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Threshold Network Token (T) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Threshold Network Token (T)After purchasing your Threshold Network Token (T), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Threshold Network Token (T)Easily trade Threshold Network Token (T) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

12.7k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy T

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of T (T) are presented below.

活动图片