ASTER Price on Roll After Stock & RWA Perps Fee Structure Update

TheNewsCryptoPublished on 2026-01-06Last updated on 2026-01-06

Abstract

ASTER price has surged significantly following the announcement of a fee structure update for its Stock and RWA Perpetuals. The update, effective January 7, 2026, aligns fees with standard rates (0.005% for makers, 0.04% for takers) and makes these products eligible for Stage 5 points and Crystal Weekly Drops. A 5% discount applies when fees are paid in ASTER. The token's price rose 2.52% in 24 hours and 11.58% over the week, reaching $0.7779. This surge coincides with the platform surpassing 200k on-chain holders, partly due to the new Shield Mode feature. Currently, ASTER is testing support at $0.7546 and $0.7018, with resistance at $0.8074 and $0.8602. Despite a predicted potential 23.41% correction to ~$0.59 in the short term, some forecasts suggest it could reach $5 by end of 2026.

ASTER price has surged considerably since the announcement about stock and RWA Perps fee structure update. The announcement further sheds light on eligibility and discount application. Meanwhile, ASTER is testing critical support and resistance margins.

Aster Update

Aster announced Stock & RWA Perps Fee Structure Update. It conveyed the community about changes in stock and RWA perpetuals. Per the announcement, these will align with its standard fee rates for maker and taker, which are 0.005% and 0.04%, respectively. The update is scheduled to go into effect on January 07, 2026, at 09:00 AM UTC.

The announcement has briefly explained the update by underlining what it means. For starters, stock and RWA perps will earn Stage 5 points like other perpetual contracts. Second, they will be eligible for Crystal Weekly Drops based on the fulfillment of $10k notional minimum for Other Pairs. Lastly, fees paid with ASTER will automatically adjust a 5% discount.

Impact on ASTER Price

With 2.49 billion in circulation, the token has reached a peak of $0.7779 when the article is being drafted. ASTER price is up by 2.52% over the last 24 hours, and has significantly surged by 11.58% in a week. The token noted an ATL of $0.08439 on September 17, 2025, almost a week before recording an ATH of $2.42 on September 24, 2025.

The impact on price also comes hours after the platform reported over 200k on-chain ASTER holders. This is credited partly to the launch of Shield Mode, a protected trading feature for on-chain traders. The weekly price chart of ASTER now shows an ascent filled with green trades since around January 01, 2026.

ASTER Testing Price Levels

The early months of 2026 estimate the token to undergo a maximum correction of 23.41%. Thereby taking its value to around $0.5944 in the next 3 months. ASTER price prediction, however, anticipates reaching the $5 milestone by the end of 2026. Needless to say, the crypto market is volatile, and the token can swing either way.

Its volatility is currently very high at 13.58%. The token is testing support levels of $0.7546 and $0.7018. Resistance levels have been drawn at $0.8074 and $0.8602 when the article is being drafted.

Highlighted Crypto News Today:

Strategy Adds 1,287 BTC, Pushing Total Holdings to 673,783 as Bitcoin Rises

AI Agent Completely Transforms Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New 2026 Agent Paradigm

This article explores how the AI Agent paradigm is fundamentally transforming Web3 gaming, moving from a disruptive force to a core, legitimized element. It begins with the controversy in the competitive baking game Rugpull Bakery, where automated scripts caused fairness issues. Instead of banning them, the developers integrated AI Agents into the official gameplay by providing technical documentation (skill.md, agent.json), marking a shift towards "Agentic Gaming." The piece outlines three primary implementation models for AI Agents in Web3 games by 2026: 1. **Autonomous Competitors & Economic Entities:** AI Agents act as independent players with unique strategies. Examples include TEN Protocol's poker agents, AI Arena's trainable NFT fighters, and Satoshi Strike Force's "Digital Athletes" trained on player data. The Somnia blockchain is highlighted as a dedicated "Agentic L1" infrastructure supporting this model at scale. 2. **Modular Infrastructure & Programmable Environments:** This model, exemplified by EVE Frontier, allows AI Agents to program game world logic itself. Using "Smart Assemblies" (e.g., Smart Turrets, Smart Gates), Agents can modify shared economic and physical rules on-chain, creating dynamic, player/AI-built worlds. The ERC-8183 standard further enables these automated entities to hire other AI services for complex tasks. 3. **Hybrid Companions & Dynamic Adaptation:** Here, AI serves as a collaborative partner. In Parallel Colony, highly autonomous AI Avatars work alongside human players who provide high-level guidance. Illuvium plans to use AI to make NPCs dynamic and responsive, creating personalized, emergent narratives for each player. The conclusion posits that Web3 gaming has reached a "post-human" inflection point. Blockchains' transparency and programmability, combined with new standards and infrastructure like Somnia, make integrating and governing AI Agents not just viable but essential. The future lies in a symbiotic digital order where players transition from manual laborers to commanders and partners of algorithmic intelligence.

marsbit4m ago

AI Agent Completely Transforms Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New 2026 Agent Paradigm

marsbit4m ago

Saylor Bought 1,550 BTC, But This Might Be Strategy's Worst Trade Recently

Saylor purchased 1,550 BTC, but this may be one of MicroStrategy's worst recent trades for its MSTR shareholders. The article explains that for MSTR to increase its Bitcoin-per-share (BPS) metric, it must issue new shares at an mNAV (market cap to net asset value) ratio above a "breakeven" level, calculated here as 1.30. In this transaction, MSTR raised $181 million via an ATM offering and used only $101.3 million to buy Bitcoin, with the rest reportedly added to its dollar reserves. Crucially, the author argues the shares were likely sold below the 1.30 mNAV threshold. This combination—selling below breakeven mNAV and not deploying all proceeds into Bitcoin—resulted in a slight dilution of BPS, estimated at a 0.19% decrease. The trade is framed as a sacrifice of MSTR shareholder value (BPS) to extend the dollar reserve runway for its Sustainable Treasury Reserve Coin (STRC) subsidiary from 6.3 to 7 months. The author concludes that Strategy is gambling that this move will improve market sentiment for STRC and MSTR, allowing future value-accretive fundraising. If it fails, the company may face the difficult choice of further diluting MSTR or delaying STRC dividends.

marsbit8m ago

Saylor Bought 1,550 BTC, But This Might Be Strategy's Worst Trade Recently

marsbit8m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

**Title: Saylor's Purchase of 1,550 Bitcoins Was a Bad Trade** The article critically analyzes Strategy's recent move of selling 32 bitcoins followed by a much larger purchase of 1,550 bitcoins. While appearing bullish, the author argues this trade is detrimental to MSTR shareholders. The core argument revolves around the concept of "breakeven modified Net Asset Value (mNAV)," a key metric for Strategy. To increase Bitcoin per share (BPS) for MSTR holders, Strategy must issue new shares at a premium high enough that the funds raised can buy more bitcoin than the bitcoin backing each existing share. Currently, this breakeven mNAV is estimated at 1.30. The recent trade failed on two counts: 1. The shares for the $181 million raise were issued at an mNAV *below* the 1.30 breakeven point. Selling "cheap" shares to buy bitcoin actually *reduces* BPS. 2. Only $101.3 million of the raised funds were used to buy bitcoin; the rest went to boost the company's dollar reserves. The breakeven mNAV calculation assumes *100%* of proceeds are used for bitcoin purchases. Diverting funds, even if mNAV were high, dilutes BPS. The result is an estimated 0.19% decrease in Bitcoin per share for MSTR holders. In exchange, Strategy merely extended its operational runway for its dollar reserves from ~6.3 months to 7 months. The author interprets this as Strategy prioritizing the survival and development of its STRC business over its stated core goal of increasing MSTR's BPS. This constitutes a gamble: if sacrificing MSTR value leads to improved market sentiment and a recovery in STRC's price (and thus mNAV), the whole system could work. If not, Strategy may be forced into a cycle of further diluting MSTR to stay afloat, potentially leading to deferred STRC dividends or corporate decline. The article concludes with a hope for price recovery for Bitcoin, MSTR, and STRC.

Foresight News15m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

Foresight News15m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

After a severe two-day selloff in early June that erased over $1 trillion from U.S. chip stock market value, capital is flowing back first to the memory sector. The correction was not driven by a collapse in AI demand but rather a market reassessment of high expectations. Stocks like Broadcom faced selling pressure despite strong AI revenue guidance, signaling a shift in focus from who has an "AI story" to who can most rapidly translate AI demand into verifiable profits and earnings per share (EPS). Memory companies, such as Micron and SK Hynix, are leading the recovery because their EPS growth is more immediately verifiable. The AI server boom directly increases demand for high-bandwidth memory (HBM) and high-capacity server DRAM, tightening supply and driving up contract prices for conventional DRAM and NAND Flash. This price increase, coupled with a shift to higher-margin products, flows directly into near-term revenue and profitability, as evidenced in recent earnings reports. In contrast, other AI semiconductor segments like GPUs, ASICs, and optical modules, while central to the long-term AI infrastructure story, face longer and less certain paths to EPS validation. Their growth depends more on future product cycles, customer adoption timelines, and capital expenditure plans. The rebound in memory stocks highlights a market preference for assets with shorter, more transparent EPS conversion cycles following the recent de-risking phase. However, this does not negate the potential of other AI hardware segments should they provide clearer near-term order visibility. The episode has raised the validation bar for all AI-related investments.

marsbit15m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

marsbit15m ago

Google's $85 Billion Secondary Offering Breaks Historical Record, Buffett Invests $10 Billion in AI Infrastructure

Alphabet (Google) has completed a record-breaking $847.5 billion equity offering, the largest in history. The funds are earmarked for AI infrastructure, with Alphabet's 2026 capital expenditure guidance raised to $180-190 billion. The complex financing structure included public offerings, convertible notes, and a $100 billion private placement to Warren Buffett's Berkshire Hathaway, seen as a major vote of confidence from value investors. Alphabet's move comes amid strong Q1 2026 results, with revenue hitting $110 billion and cloud backlog surpassing $460 billion. This offering signals the start of a massive AI funding supercycle. SpaceX is set for a $750 billion IPO, while AI giants Anthropic and OpenAI have also confidentially filed for public listings targeting trillion-dollar valuations. Analysts estimate total AI-related equity issuance in 2026 could reach $400 billion, dwarfing previous records. The flood of supply raises questions about market absorption, with historical data showing significant post-IPO pullbacks. Some advise investors seeking AI exposure to consider established players like Alphabet, which offers growth potential with comparatively lower risk than pure-play AI startups.

marsbit21m ago

Google's $85 Billion Secondary Offering Breaks Historical Record, Buffett Invests $10 Billion in AI Infrastructure