RAVE rallies 29%, but is the post-launch correction already over?

ambcryptoPublicado em 2025-12-19Última atualização em 2025-12-19

Resumo

RAVE, the native token of RaveDAO, surged 29% in 24 hours, reversing its initial post-launch correction. Launched on December 14th at $0.50, it initially corrected to $0.27 before reclaiming its launch price. The rally was fueled by new exchange listings on OKX and Kraken, a market shift toward small-cap tokens, and increasing holder count, now at 7.19K. Open Interest rose above $17 million, suggesting the correction may be over. However, the price is currently ranging between $0.35 and $0.42. Liquidation data shows a higher concentration of long liquidations, indicating trader sentiment is bullish, but a short squeeze could amplify gains or trigger a decline if key liquidity clusters are hit.

A few days after launch, and RAVE crypto is still rising on the charts. RaveDAO [RAVE], a web3 entertainment ecosystem, spiked by more than 29% in the past 24 hours as volume jumped 23%.

The price action reversed from the post-launch correction, but will this uptrend be sustainable amid the short-term shift to small-cap coins?

Is the post-launch price correction over?

RAVE launched on the 14th of December at around $0.50, but immediately entered a correction phase to $0.27. Interestingly, on the same day, RAVE reversed from this point and reclaimed $0.50.

Launch hype and smart traders’ accumulation drove the initial move. RAVE’s price was trading above the SuperTrend indicator, but had broken below the rising trendline at press time.

The trajectory showed bulls were in control of price. The Open Interest (OI) was also following a similar trajectory at more than $17 million when writing.

This shift in OI direction could be an indication of a potential end to the post-launch correction. RAVE was, however, ranging between $0.35 and $0.42 on the 15-minute chart.

Why is RAVE up today?

More exchange listings for derivatives and Spot trading fueled this day’s rally. OKX and Kraken were among the popular exchanges that listed RAVE.

Additionally, traders were shifting to small-cap tokens, especially after Bitcoin [BTC] dropped below $90,000. That way, traders rotated to RAVE in emulation of smart money.

In fact, on-chain data showed a smart trader profited 83% after longing RAVE on the day of launch. At the same time, the number of individuals acquiring the token continued to increase even after this whale took profit.

The data from CoinMarketCap showed that the number of holders has been rising since the 12th of December. Despite this trend stabilizing, total holders stood at 7.19K at press time, with a market cap of $85 million.

As the market comes from a double bottom, having recovered the lost trendline support, liquidity could be a deciding factor.

How will liquidity affect RAVE?

The liquidation heatmap showed, despite the price being confined in between massive orders, that the one above was more concentrated. This was an indication that more traders were anticipating RAVE to hit higher prices.

The cumulative long liquidation leverage was at $5.66 million, compared to $3.15 million for shorts.

A move higher could result in a short squeeze, which would amplify the rise. However, the heatmap indicated that every time these clusters were triggered, a price decline occurred afterward.

It is worth noting that while liquidity could influence price movement in either direction, trader sentiment indicated that more bets were placed on an upward movement.


Final Thoughts

  • RAVE price rallied 29% after the launch correction due to an increase in holders, the exchange listing, and capital rotation.
  • The liquidity clusters confining the price of RAVE could spark a move toward either of the directions.

Criptomoedas em alta

Perguntas relacionadas

QWhat is the main reason for RAVE's 29% price rally in the article?

AThe main reasons for RAVE's 29% price rally are new exchange listings on platforms like OKX and Kraken, an increase in token holders, and a market rotation of capital into small-cap tokens.

QOn which date did RAVE launch and what was its initial price?

ARAVE launched on the 14th of December with an initial price of around $0.50.

QWhat on-chain data suggested a potential end to the post-launch correction for RAVE?

AThe shift in Open Interest (OI) direction to over $17 million was an indication of a potential end to the post-launch correction.

QAccording to the liquidation heatmap, what could a move to higher prices potentially trigger for RAVE?

AA move to higher prices could result in a short squeeze, which would amplify the price rise.

QHow many RAVE holders were there at the time the article was written, and what was the market cap?

AAt press time, there were 7.19K holders and the market cap was $85 million.

Leituras Relacionadas

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbitHá 9m

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbitHá 9m

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbitHá 1h

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbitHá 1h

Trading

Spot

Artigos em Destaque

Como comprar O

Bem-vindo à HTX.com!Tornámos a compra de O1 exchange (O) 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 O1 exchange (O) 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 O1 exchange (O)Depois de comprar o teu O1 exchange (O), 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 O1 exchange (O)Transaciona facilmente O1 exchange (O) 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.

467 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.29

Como comprar O

Como comprar PROS

Bem-vindo à HTX.com!Tornámos a compra de Pharos (PROS) 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 Pharos (PROS) 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 Pharos (PROS)Depois de comprar o teu Pharos (PROS), 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 Pharos (PROS)Transaciona facilmente Pharos (PROS) 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.

492 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.29

Como comprar PROS

O que é VERONA

I. Introdução ao Projeto VERONA é uma blockchain construída para todos, em todo o lado, através da abstração da cadeia. Utilizando a sua camada de Abstração Generalizada, a VERONA distingue-se por integrar funcionalidades complexas de blockchain, como contas, assinaturas e interoperabilidade, diretamente ao nível do protocolo. Esta abordagem permite a interação com aplicações de blockchain sem a necessidade de compreender as tecnologias subjacentes.1) Informação Básica Nome: VERONA (VERONA)III. Links Relacionados Link do site oficial: https://xion.burnt.com/ Whitepaper: https://xion.burnt.com/whitepaper.pdf Exploradores: https://explorer.burnt.com/ Mídias Sociais: https://x.com/burnt_xion Nota: A introdução ao projeto provém dos materiais publicados ou fornecidos pela equipa oficial do projeto, que é apenas para referência e não constitui aconselhamento de investimento. A HTX não se responsabiliza por quaisquer perdas diretas ou indiretas resultantes.

1.2k Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.22

O que é VERONA

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 A (A) são apresentadas abaixo.

活动图片