Can VIRTUAL hold its 21% gain as active users return to 3.7K?

ambcryptoPubblicato 2026-01-03Pubblicato ultima volta 2026-01-03

Virtuals Protocol [VIRTUAL], an artificial intelligence token, has defied expectations of a potential weak performance following projections of a bubble phase, instead extending its move to the upside.

The asset, which had been on a downward trajectory after recording a 12% loss, emerged as the top gainer over the past day, posting a 21% rally at press time.

This move followed a community vote in which more than 86,000 out of 104,000 investors turned bullish, representing roughly 83% of participants. The shift has since been reflected across both on-chain and off-chain user activity.

User growth and revenue support price action

Investor activity around VIRTUAL has remained elevated. According to Artemis, there has been a noticeable increase in both user engagement and protocol revenue over the past day.

Data shows that the number of active spot users trading VIRTUAL across decentralized exchanges climbed to 3,700, a level last seen on the 19th of December.

The rising trading volume suggests increased adoption and usage of VIRTUAL, which has translated into price appreciation and stronger revenue performance.

DeFiLlama data shows that protocol revenue generated over the past day alone exceeded $26,000, a level last recorded in mid-December when broader market sentiment remained deeply fearful.

The combined rise in user participation and revenue points to a strengthening positive outlook that could support further price growth.

Other drivers remain in place

The derivatives market has also played a key role in VIRTUAL’s recent performance, driven by rising liquidity from investors opening long positions.

Market data indicates that liquidity surged by more than $24.4 million over the past day, with the majority of flows linked to buy-side contracts.

CoinGlass data on the Open-Interest-Weighted Funding Rate, which reflects perpetual market liquidity based on long and short positioning, supports this trend.

A positive Funding Rate typically signals buyer dominance in the perpetual market. At press time, the rate stood at 0.0055%, indicating a moderately bullish environment.

Similarly, long-to-short data, which tracks relative buy and sell volume, shows stronger buy pressure, with more long contracts changing hands than short positions.

Unfilled levels remain a key risk

An analysis of liquidation clusters on the price chart shows that downside risk remains.

Liquidation clusters often act as price magnets and can function as either support or resistance zones. These areas are typically highlighted in different shades, including green and yellow.

At present, a larger concentration of liquidity clusters remains below the current price, indicating that downside pressure still outweighs upward pull.

However, the risk of a sharp decline appears limited, as short liquidations have exceeded long liquidations, giving long traders a relative advantage.

At the time of writing, short liquidations stood at $491,000, compared with $134,000 in long liquidations.


Final Thoughts

  • VIRTUAL saw a majority of community members vote in favor of a rally as capital inflows reached $24.4 million.
  • On-chain activity remains positive, while revenue and active user numbers continue to grow.

Domande pertinenti

QWhat was the percentage gain of VIRTUAL token at press time, and what was the key community activity that preceded this rally?

AVIRTUAL posted a 21% rally at press time. This move was preceded by a community vote in which more than 86,000 out of 104,000 investors (roughly 83%) turned bullish.

QAccording to Artemis data, what was the significance of the number of active spot traders reaching 3,700?

AThe number of active spot users trading VIRTUAL climbed to 3,700, a level of user engagement last seen on the 19th of December.

QHow much protocol revenue did VIRTUAL generate in the past day, and how does this compare to a previous period?

AThe protocol revenue generated over the past day alone exceeded $26,000, a level last recorded in mid-December.

QWhat does a positive Open-Interest-Weighted Funding Rate of 0.0055% indicate about the market sentiment for VIRTUAL?

AA positive Funding Rate of 0.0055% typically signals buyer dominance in the perpetual market, indicating a moderately bullish environment.

QWhat is the current risk indicated by the larger concentration of liquidation clusters below VIRTUAL's price, and what data suggests the risk of a sharp decline is limited?

AThe larger concentration of liquidity clusters below the current price indicates that downside pressure still outweighs upward pull. However, the risk of a sharp decline appears limited because short liquidations ($491,000) have exceeded long liquidations ($134,000), giving long traders a relative advantage.

Letture associate

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit54 min fa

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit54 min fa

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit59 min fa

Token Inefficient, Economy Tokenless

marsbit59 min fa

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit1 h fa

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit1 h fa

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit1 h fa

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit1 h fa

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

In today's TechFlow Intelligence Briefing, several major tech stories highlight a growing theme of trust and credibility gaps across AI, crypto, and finance. AI company Anthropic has publicly called for a global pause in AI development, citing risks from Claude's "recursive self-improvement." Ironically, this coincides with reports the company is preparing for a massive IPO targeting a near $1 trillion valuation. This perceived hypocrisy, coupled with widespread user complaints about Claude's declining performance, is sparking debate over whether the safety warning is genuine or a competitive tactic. Meanwhile, in a substantive security move, Anthropic open-sourced a framework for AI-powered vulnerability discovery. In the crypto market, Bitcoin's price drop below $61,000 triggered over $1.16 billion in liquidations, flipping the market into a state where more BTC is held at a loss than at a profit, a historical bearish signal. On the corporate front, SpaceX's highly anticipated IPO is generating immense Wall Street excitement, with Goldman Sachs projecting 100x revenue growth by 2030. However, the S&P 500 has refused to fast-track the company's inclusion post-IPO, potentially limiting immediate institutional demand. Separately, ByteDance's AI app Doubao lost over 6 million monthly active users after introducing a subscription model, highlighting the challenges of AI monetization. Other notable developments include Nvidia certifying HBM4 memory from Samsung, SK Hynix, and Micron; Cloudflare's acquisition of front-end tooling company VoidZero; and its CEO warning that bot traffic now exceeds human traffic online. The underlying narrative connects these events: a trust crisis. From AI firms' contradictory actions and crypto volatility to the clash between SpaceX's hyped narrative and institutional rules, a pattern is emerging where stated intentions and actual practices are increasingly misaligned.

marsbit1 h fa

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

marsbit1 h fa

Trading

Spot
Futures

Articoli Popolari

Come comprare GAIN

Benvenuto in HTX.com! Abbiamo reso l'acquisto di GriffinAI (GAIN) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente GriffinAIGAIN.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva GriffinAI (GAIN)Dopo aver acquistato GriffinAI (GAIN), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia GriffinAI (GAIN)Scambia facilmente GriffinAI (GAIN) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

318 Totale visualizzazioniPubblicato il 2025.09.24Aggiornato il 2026.06.02

Come comprare GAIN

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di GAIN GAIN sono presentate come di seguito.

活动图片