Crypto market’s weekly winners and losers – TAO, CC, DOT, WLD

ambcryptoPublicado a 2026-03-29Actualizado a 2026-03-29

Resumen

The crypto market saw mixed performance over the past week, with Bitcoin declining by 3% and altcoins dropping 1.52%. Despite the overall bearish sentiment, several tokens stood out as winners. Bittensor (TAO) led with a 44.7% rally, breaking key resistance levels. Memecore surged 33%, boosting the memecoin sector, while Canton (CC) rose 13.47% in a single day. Other notable gainers included DeXe (18.5%), FET (11.8%), and Chiliz (11.9%). On the losing side, Polkadot (DOT) fell sharply, testing February support levels. Aave dropped 10.7%, continuing a six-month downtrend, and NEAR Protocol declined 9.7%. Other underperformers included ICP, ENA, MNT, and Worldcoin (WLD), which fell 12.5%. Despite Bitcoin holding above $65.6k and Ethereum above $2k, market stability remains fragile amid macroeconomic uncertainties.

Bitcoin [BTC] was down by another 3% over the past week, having fallen 3.8% the previous week. The altcoin market cap was down by 1.52%, meaning that Bitcoin has registered more losses than the altcoin market put together.

Nevertheless, many of the top 50 crypto assets by market cap were in the red due to Bitcoin’s correction and the wider market fear. A few select tokens outperformed the market by a wide margin.

Let’s take a closer look at these outperformers and their bearish counterparts.

Weekly winners

TAO at the helm of bullish altcoins once more

Source: TAO/USDT on TradingView

The move above $302 earlier in March broke the 1-day structure bullishly. Last week, a local high at $310.6 was breached (dotted orange), showing a bullish structure break. In other words, Bittensor experienced a bullish price structure on multiple timeframes.

The rally last week reached from $261.1 to $377.8, a whopping 44.7% move at its zenith. It has since receded to the 50% level. To the south, the $286 and $305 are key retracement zones to keep an eye on.

So long as the price is above $261, the bullish chances of TAO remain strong.

Memecore eclipses major memecoins with a 33% move

Glassnode data showed that the memecoin sector has been an outperforming one over the past week. It was up 5.8%, while Bitcoin and Ethereum [ETH] were down by 3.5% and 5%, respectively.

Memecore’s strong gains likely boosted the overall memecoin market cap. Another meme, siren [SIREN], also contributed.

Other popular memes such as Dogecoin [DOGE], Shiba Inu [SHIB], and Pepe [PEPE] have moved less than 0.5% each.

Canton rockets to local highs after being in retracement mode in March

Canton was a surprise weekly winner. It rallied 13.47% in 12 hours on Saturday, the 28th of March. The higher timeframe price structure was bullish, but CC has been retracing from $0.19 to $0.14 since the first week of February.

Towards the end of February, it saw a rally that challenged the local high at $0.175, measuring almost 9% in a day, before the retracement continued. A similar scenario can play out once again.

Other notable winners

DeXe [DEXE] and Artificial Superintelligence Alliance [FET] were up 18.5% and 11.8% for the week. Chiliz rallied by 11.9% over speculation of increased fan token activity for the upcoming FIFA World Cup 2026.

Midnight [NIGHT] rallied almost 9% but continued to labor within a downtrend, having faced rejection at $0.065 at the start of March. Ondo [ONDO] also rallied by 8.4% as RWA inflows bolstered its narrative.

Weekly losers

Polkadot sinks back to February support

Source: DOT/USDT on TradingView

DOT has been in down-only mode on the price charts over the past week. The mid-March support at $1.40-$1.45 was tested on Monday, the 23rd of February. It held for a brief time but was broken by the selling pressure a day later.

At the time of writing, the $1.25 support from early February was under siege. The RSI was forming a bullish divergence with the price in recent days, which could yield a price bounce soon.

Aave racks up considerable weekly losses

Popular DeFi protocol Aave continued its six-month downtrend and notched up 10.7% loss for the week. The $100-$105 support zone from February was finally breached.

Rising exchange reserves reinforced selling pressure. As things stand, more losses remain likely for the altcoin.

NEAR Protocol prices test $1.3 as resistance before sliding lower

The relative strength of the AI sector has faded away, with only a few tokens showing remarkable strength. NEAR was not one of them, having shed 9.7% over the past week.

The $1.3 and $1.2 levels had been interim supports established earlier in the month but had fallen below them both and were at $1.16 at the time of writing.

Other notable losers

The erratic crypto AI sector token performance was highlighted by Internet Computer [ICP] falling 7.1% for the week. The sector has tokens in both categories, showing that select, strong altcoins and evolving narratives are what traders should look out for.

Ethena [ENA] and Mantle [MNT] shed 6.5% and 7.2%, respectively. Worldcoin [WLD] was another standout weak performer, with a weekly drop of 12.5%.

Bitcoin is at a decision point, but volatility could still hit hard

It was encouraging that Bitcoin was able to defend the $65.6k local lows, and Ethereum continued to remain above $2,000. This stability could be fragile. Oil-driven inflation and escalations in the Middle East could put further stress on the crypto market.


Final Summary

  • DeXe and FET continued their stellar performance, with Bittensor being a leading bull in the altcoin sector.
  • Memecore and SIREN performances gave a positive spin to an otherwise stagnant memecoin market.

Preguntas relacionadas

QWhich cryptocurrency was highlighted as the top weekly performer and what was its key support level?

ATAO (Bittensor) was the top weekly performer, with a key support level at $261.

QWhat was the overall trend for Bitcoin and the altcoin market cap over the past week?

ABitcoin was down by 3%, while the altcoin market cap decreased by 1.52%.

QWhich memecoin significantly outperformed major memecoins like Dogecoin and Shiba Inu?

AMemecore significantly outperformed with a 33% move, while Dogecoin, Shiba Inu, and Pepe moved less than 0.5% each.

QWhat were the primary reasons for Chiliz's (CHZ) price rally?

AChiliz rallied due to speculation of increased fan token activity for the upcoming FIFA World Cup 2026.

QWhich two major support levels did Polkadot (DOT) lose during its decline?

APolkadot lost the mid-March support at $1.40-$1.45 and was testing the $1.25 support from early February.

Lecturas Relacionadas

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbitHace 1 min(s)

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbitHace 1 min(s)

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

Titled "I Don't Need a Better Model Anymore": AI User Reactions on Reddit Anthropic recently released Claude Fable 5, its first publicly available 'Mythos'-tier model, achieving 80.3% on the SWE-Bench Pro benchmark and significantly outperforming its predecessor and competitors. However, a viral Reddit post titled "Claude Fable made me realize I don't need better models anymore" highlighted a growing user sentiment of "good enough." Top comments expressed "model fatigue," with users stating that earlier models like Opus 4.5/4.8 already sufficed for their workflows. High cost was a key concern, as Fable 5's API is nearly twice the price of Opus 4.8, with users questioning the return on investment and suggesting the field has hit a plateau. The most frequent complaint targeted Fable 5's stringent safety filters. Designed to intercept high-risk requests (e.g., cybersecurity), the system was perceived as overly conservative. Users reported frequent rejections for routine security-related tasks, leading to automatic fallbacks to the older Opus model. Paying users were particularly frustrated, feeling they paid a premium for a less usable product. Dissenting voices came from users with heavy, complex tasks. For workloads like high-energy physics simulations with thousands of code lines, Fable 5's improved long-context understanding and error detection represented a significant, worthwhile leap—described as moving from a "college player to an NBA starter." The debate underscores a divergence between benchmark performance and practical utility. For most users, current models meet their needs, making further advances relevant only for extreme use-cases. The discussion also raised concerns about a potential "Public AI Freeze," where the most powerful models (like the restricted Mythos 5) remain exclusive to enterprises and governments, while public offerings stagnate. The launch presents two report cards: one of technical excellence and another of user skepticism. Fable 5's ultimate reception may depend on Anthropic's ability to refine its safety filters and justify its cost for specialized, high-demand users.

marsbitHace 8 min(s)

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

marsbitHace 8 min(s)

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

With AI-generated web traffic surpassing human activity, websites face a crisis as AI agents bypass ads, avoid clicks, and scrape data without generating revenue. This disrupts the ad-based internet economy, diverting traffic and reducing site visits. In response, sites are blocking AI crawlers and deploying traps like Cloudflare's "honeypot" pages. Traditional CAPTCHAs are now ineffective against advanced AI. The focus has shifted to behavioral biometrics—analyzing unique human patterns such as cursor movement, typing rhythm, and keystroke dynamics. Companies like IBM and BioCatch use this data to distinguish humans from bots, even detecting fraud through behavioral inconsistencies. Two competing approaches aim to verify human identity centrally. Sam Altman’s World (formerly Worldcoin) uses iris scanning to create unique credentials, though it faces privacy concerns and regulatory bans. Alternatively, cryptographic zero-knowledge proofs offer anonymous verification without revealing personal data, championed by Vitalik Buterin to avoid centralized surveillance. However, both systems have flaws. Centralized solutions risk biometric data misuse, while decentralized models may be exploited through identity rental markets in economically unequal regions. Despite challenges, the author favors cryptographic methods for preserving privacy over pervasive behavioral monitoring that permanently captures and controls personal biometric data.

marsbitHace 17 min(s)

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

marsbitHace 17 min(s)

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

**The 2026 Landscape of Decentralized AI: Why Blockchain is the "Cure" AI Cannot Ignore** Decentralized AI addresses fundamental bottlenecks of centralized AI: scarce and expensive computational resources, excessive control concentration, unverifiable model outputs, and increasing difficulty in acquiring training data due to privacy and regulation. Blockchain offers a path to make intelligence open, verifiable, and economically accessible. The technical stack comprises three layers: 1. **Applications & Services**: The main crypto use cases are "Agentic Finance" (converting natural language into on-chain actions) and "Agentic Payments" for machine-to-machine commerce. Projects like Giza, Infinity Labs, Coinvest AI, and x402 (handling 173M+ transactions) are key players. 2. **Middleware**: This coordination layer enables agents to discover, identify, and transact. Notable projects include Gokite AI (specialized L1), Virtuals (an OS for the agent economy), and especially Bittensor—a network of specialized subnets forming competitive AI micro-economies. 3. **Infrastructure**: The capital-intensive layer providing raw resources. It includes decentralized compute (Akash, Render, Aethir), verifiable inference (Venice AI, OpenGradient), distributed training (Prime Intellect, Templar AI), decentralized storage (Filecoin, Walrus), and privacy/verification layers (Nillion, Arcium, Phala Network) using technologies like ZKPs, MPC, and TEEs. The outlook for 2026-2027 indicates AI demand outpacing infrastructure, with AI agents as a primary growth engine. Computation is becoming an asset class, with on-chain markets as its financial layer. Tokenomics is emerging as a structural advantage for coordinating capital, compute, and data in decentralized AI networks. While still early—with adoption uneven and revenue often trailing token incentives—projects like Bittensor, NEAR, and Virtuals demonstrate a shift from speculative narrative to a new model for coordinating intelligence.

marsbitHace 20 min(s)

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

marsbitHace 20 min(s)

a16z Crypto Partner: Cash Flow is the Moat

Cash Flow as the Moat: A Playbook for Crypto Founders Historically, the most enduring businesses have been built by positioning themselves within the "flow of funds"—facilitating the creation and transfer of value in a network and extracting a portion of it. Cryptocurrency is the first modern technology natively built for this purpose. For startups, failing to architect products and businesses to leverage these principles means missing a major opportunity. Blockchains are inherently network businesses. Each transaction settles on a shared ledger, and every new participant strengthens the underlying network for all. Well-designed network tokens amplify this by aligning users, developers, and validators around growing the network, with value flowing back to contributors in a transparent feedback loop. This model is not new; companies from railroads and Standard Oil to Google, Meta, and AWS have thrived by inserting themselves into critical flows of value (goods, attention, compute). Financial markets make it even clearer: firms like Visa and major market makers generate immense revenue not by predicting markets but by being in the path of transactions. The combination of fund flow and network effects creates one of the most durable business structures. The high margins in traditional finance (payments, custody, lending, FX) represent prime targets. Crypto founders have the opportunity to build the next version—programmable, instant, global, and natively in the flow of funds. The frontier extends beyond finance to areas like computing/GPUs, AI training data, energy, robotics, and space—markets without entrenched intermediaries, ripe for building new, efficient value rails on programmable infrastructure. Founders should ask: Are you in the flow of funds today? Does your revenue scale 10x with the value of activity on your platform? Where in your target market are profit margins highest relative to value created? The opportunity is clear: embed your startup into the new flows of value and let the network effects accumulate.

marsbitHace 22 min(s)

a16z Crypto Partner: Cash Flow is the Moat

marsbitHace 22 min(s)

Trading

Spot
Futuros

Artículos destacados

Cómo comprar WLD

¡Bienvenido a HTX.com! Hemos hecho que comprar Worldcoin (WLD) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Worldcoin (WLD) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Worldcoin (WLD)Después de comprar tu Worldcoin (WLD), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Worldcoin (WLD)Tradear fácilmente con Worldcoin (WLD) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

149 Vistas totalesPublicado en 2024.12.11Actualizado en 2026.06.02

Cómo comprar WLD

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de WLD (WLD).

活动图片