Tron DAO Founder Justin Sun Emphasizes Holding TRX Tokens

TheNewsCryptoPublicado em 2026-01-30Última atualização em 2026-01-30

Resumo

Justin Sun, founder of Tron DAO, has urged the community to hold TRX tokens. This follows an announcement by Tron Inc., which acquired over 170,000 TRX tokens, increasing its treasury holdings to more than 678.9 million tokens. Despite recent market turbulence, TRX saw a slight monthly gain, though it declined over the past week. Technical indicators suggest a neutral to bearish sentiment in the short term, with potential for a 25% surge in the next three months. Additionally, Tron DAO reported strong Q4 2025 performance, including $7.9 trillion in USDT settled and 10.1 million daily transactions on average.

Justin Sun, Founder of Tron DAO, has emphasized holding on to TRX tokens. This comes after Tron Inc informed the community about its acquisition of over 100k Tron tokens. TRX price also experienced a decline amid the ongoing turmoil across the crypto market. Meanwhile, network activity has been reported strongly across the network.

Justin Sun on TRX Holdings

Tron DAO Founder H.E Justin Sun has sought holding of the token no matter what. He has said this in response to an update shared by Tron Inc. Listed on Nasdaq as TRON, Tron Inc informed the community that it acquired 170,014 TRX tokens, adding that its TRX treasury now holds more than 678.9 million Tron tokens.

The average price of TRX was $0.29 when they were acquired. Tron Inc has expressed its commitment to enhancing its long-term shareholder value by continuing to further grow its Tron holdings.

TRX Price Outlook

TRX tokens have not been spared by the ongoing turmoil across the crypto segment. TRX has shed almost 1.81% over the last 24 hours and is now trading at $0.2892. The price also reflects a weekly decline of 6.1%. Nevertheless, it has surged by 2.09% over the last month. TRX technicals are currently hinting at sentiments in the range of neutral and strong sell.

TRX prices consolidated towards the end of 2025 and are now drawing a trajectory of an upward mountain followed by a correction phase.

Its volatility is medium at 2.71% with the projected surge of 24.97% in the next 3 months. This could take the TRX price as high as $0.3661. TRX is testing support levels of $0.2914 and $0.2862. This is along with resistance levels of $0.2966 and $0.3018.

Tron DAO Q4-2025

All that said, Tron DAO recently shared its report for the fourth quarter of 2025, focusing on the strength of its network in terms of activity. According to the post, Tron settled USDT worth $7.9 trillion over the year, bringing daily transactions to 10.1 million on average. Tron DAO further reported almost 2.9 million daily active addresses.

TRON’s core engine was stablecoins, considering it noted $82.2 billion USDT in circulation, making up for 42% of the global supply. Also, it earned recognition as a fiat-referenced token in Abu Dhabi (ADGM). Simply out, Tron DAO reported strong numbers – instilling a sense of confidence among its community members.

Highlighted Crypto News Today:

CFTC Chair Signals Shift Toward Clear Rules for Prediction Markets

TagsJustin SunTRON DAOTRX

Perguntas relacionadas

QWhat did Tron DAO Founder Justin Sun emphasize regarding TRX tokens?

AJustin Sun emphasized holding on to TRX tokens 'no matter what'.

QHow many TRX tokens did Tron Inc acquire according to the article?

ATron Inc acquired 170,014 TRX tokens, bringing its total TRX treasury holdings to more than 678.9 million tokens.

QWhat was the average acquisition price of the TRX tokens purchased by Tron Inc?

AThe average acquisition price was $0.29 per TRX token.

QWhat was the reported daily transaction volume and number of active addresses on the Tron network in Q4 2025?

ATron settled USDT worth $7.9 trillion for the year, with an average of 10.1 million daily transactions and nearly 2.9 million daily active addresses.

QWhat is the projected price surge for TRX in the next 3 months and the potential high?

ATRX is projected to surge by 24.97% in the next 3 months, potentially reaching as high as $0.3661.

Leituras Relacionadas

It Took Me a Year to See the Hard Truth About Agent Payments

**Title: It Took Me a Year to See the Hard Truth About Agent Payments** Over the past year, I've worked on infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, and numerous startups. The findings reveal a stark reality: genuine, widespread demand for Agent-based payments does not yet exist. **Key Observations:** * **Agent-to-Merchant (Shopping):** The user experience for AI shopping often falls short, especially for visual product discovery. While AI excels at understanding needs, conversational interfaces can't yet replace browsing and comparing multiple products visually. Current merchant interest is largely defensive ("Agent Engine Optimization") for a future that hasn't arrived. High-frequency, low-friction purchases (like food delivery) are potential fits, but lack open APIs and face high AI inference costs. Simpler, more affordable, or cross-language interactions for complex UIs are a niche opportunity but require massive consumer distribution to scale. * **Agent-to-API (Developer Tools):** Developer payment needs for APIs (computing, data, models) are already met through subscriptions and prepaid credits. The core challenge is not payment friction but supplier economics: most large SaaS providers prefer enterprise contracts over micropayments for API calls. Protocols like MPP and x402 suit the long-tail of smaller services but cater to a developer market historically reluctant to pay for these tools. Major infrastructure needs at the top of the stack are already being addressed. * **Agent-to-Agent (Machine Commerce):** This is a long-term vision with almost no current transaction volume. While a future with high-speed, high-frequency, multi-party machine-to-machine transactions would require novel infrastructure, it remains theoretical. The market is not here yet. * **Agent-to-Finance:** This is the only category with clear, present demand. Financial professionals and DeFi users already pay for tools, and AI augmentation is a natural evolution. Autonomous AI agents can enable entirely new financial strategies. However, competition is fierce from established, regulated incumbents who can more easily layer AI onto their existing products. **The Core Insight:** Companies, especially giants with long time horizons, are building defensively for a potential future of mass machine commerce. For them, early investment is a low-cost hedge. For startups, the current market reality is different. The primary challenge isn't just moving money between agents (payments). The larger, unsolved problem is **orchestration** – coordinating work between agents and humans, verifying outcomes, and then settling. Payment is just a part of settlement, which is just a part of orchestration. Companies that solve the orchestration problem will subsume payments, not the other way around. After a year of building, we see the real, growing, and underserved market opportunity lies in this broader domain of orchestration.

链捕手Mesmo agora

It Took Me a Year to See the Hard Truth About Agent Payments

链捕手Mesmo agora

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

A researcher discovered a critical "infinite mint" vulnerability in the Zcash cryptocurrency's Orchard protocol using Claude Opus 4.8, leading to a swift fix but also a 50% market drop, erasing billions in value. This incident highlights a new era where powerful, accessible AI models are dramatically lowering the barrier to finding software vulnerabilities. Previously, the security community feared specialized models like Claude Mythos Preview, capable of finding decades-old zero-day exploits. The Zcash case, however, involved a publicly available, general-purpose model. This shift makes advanced security auditing—and attack capabilities—accessible to far more people, not just experts. The mass democratization of vulnerability discovery brings a dual challenge: a flood of low-quality, AI-generated false reports that overwhelm maintainers, and the real, rapid uncovering of deep, dangerous bugs. Open-source projects, often understaffed and unfunded, are particularly vulnerable to this "attention DDoS." The article cites examples like curl shutting down its bug bounty program due to the unsustainable workload. Our perceived digital safety has often been luck, relying on the high cost and effort required to find deeply hidden flaws in complex systems, as seen with historical vulnerabilities like Heartbleed or Baron Samedit. AI changes this cost structure, effectively "mass-producing flashlights" to illuminate every corner of our codebase. While large companies operate extensive security chains involving external white-hat hackers and massive defensive operations, the global cybersecurity workforce faces a severe shortage, especially of experienced personnel capable of analyzing complex threats and coordinating fixes. The core dilemma emerges: AI makes *finding* bugs cheap and scalable, but *fixing* them remains a slow, expensive, and human-intensive process. The article concludes that AI won't destroy the internet but acts as a bright light, revealing that our digital existence is not inherently secure but is precariously maintained by ongoing human effort. The true cost in the AI era may not be discovery, but whether there will be enough people left willing and able to do the hard work of repair.

marsbitHá 34m

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

marsbitHá 34m

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

"Codex Goal Mode: How to Make AI Work Continuously Toward a Specific Goal" OpenAI's Codex "goal mode" (/goal) transforms the AI from a reactive code assistant into a proactive execution agent capable of working autonomously for hours or even days to achieve a defined objective. To maximize its effectiveness, follow these key principles: 1. **Define Clear, Verifiable Exit Criteria:** The goal prompt should be a concise, measurable success condition, not a lengthy specification. Use quantifiable metrics like "reduce build time by 30%" or "achieve 100% test parity." 2. **Provide Initial Guidance and Tools:** Direct Codex toward likely problem areas and specify available tools (e.g., browsers, testing environments) to prevent it from exploring unproductive paths. 3. **Enable Progress Measurement:** Equip Codex with ways to track advancement, such as creating comparison tools for visual tasks or evaluation sets, ensuring it can gauge its own progress. 4. **Use a Realistic Execution Environment:** For tasks like performance optimization, provide access to environments that closely mimic production (e.g., similar configs, databases) to yield valid results. 5. **Be Cautious with Visual Goals:** Avoid vague "pixel-perfect" instructions. Instead, supplement visual references with functional checklists or design system specifications to prevent Codex from obsessing over minor details. 6. **Implement Progress Tracking:** For long-running tasks, have Codex commit code to draft PRs, update progress documents, or send Slack updates to maintain visibility into its work. 7. **Review and Consolidate Results:** Once the goal is met, instruct Codex to review its work, clean up ineffective experimental code, and reflect on what strategies succeeded or failed. Ultimately, using goal mode shifts the developer's role from writing prompts to managing a persistent engineering agent—defining objectives, establishing metrics, configuring environments, and conducting final reviews.

marsbitHá 1h

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

marsbitHá 1h

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

Recently, Vitalik Buterin has frequently emphasized the concept of "CROPS," first outlined in the Ethereum Foundation's March mandate as core principles guiding its focus: Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. CROPS represents Ethereum's commitment to providing foundational capabilities for user sovereignty—enabling asset ownership, identity expression, and coordination without reliance on centralized platforms or surrendering ultimate control. This framework is gaining new urgency with the rise of AI, particularly AI agents managing digital assets and automating transactions. While AI offers convenience, it risks centralizing user data, intent, and control if dependent on opaque, centralized services. Vitalik argues for "CROPS AI"—AI that is open, privacy-preserving, secure, and capable of local execution to maintain user agency. He highlights convergence between "CROPS Ethereum access layers" and "CROPS AI," such as using zero-knowledge proofs for private remote LLM calls and Ethereum RPC reads, ensuring users can access services without exposing sensitive information. Ultimately, CROPS is not just an abstract ideal but a practical guide for Ethereum's development and AI integration. It addresses the critical long-term question: as digital systems grow more powerful, how can users retain control over their privacy, assets, and autonomy? In an AI-driven era, these principles may define Ethereum's enduring value—prioritizing verifiable, secure, and user-centric design over short-term optimizations like speed and cost alone.

marsbitHá 1h

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

marsbitHá 1h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar SUN

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

541 Visualizações TotaisPublicado em {updateTime}Atualizado em 2025.03.21

Como comprar SUN

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 SUN (SUN) são apresentadas abaixo.

活动图片