[Special attention] Is there no pressure for APTOS price rise? Let's see the analysis

HuobiОпубліковано о 2022-10-27Востаннє оновлено о 2022-10-28

Анотація

After APTOS was launched into the mainstream exchanges, the market performance was strong and a breakthrough was planned.

The valuation of the public chain Aptos will reach 2.75 billion dollars if it is not online. The goal of the public chain Aptos is to build a scalable, secure, trusted and scalable smart contract platform.

Unlike Ethereum, which focuses on decentralization and security, Solana extends its performance to the extreme. Aptos tries to find a more balanced position between the two.

With the launch of the main network Aptos Autumn on October 17, the head exchanges simultaneously support the online trading of APT. The Layer1 public chain project APTOS expects that the TPS can reach 160000, and the project ushers in a period of rapid development.

It is worth noting that APTOS is an L1 blockchain, aiming to become the most secure and scalable blockchain in history. At the same time, Aptos was developed by former Meta employees, and its own popularity has become the focus of recent market attention. Of course, the core of its technological innovation is Move, which is based on Rust and can be said to be the fastest network application programming language in the world.

1. Price performance

On October 19, after APTOS was listed and traded in Huabi Global, its price showed a strong performance. After rebounding from the daily level of $7.31, the price rose to the highest level of $10.29.

2. TVL value recovery

After APTOS was listed on the main exchange, its TVL on the chain also increased rapidly. According to the data on October 27, the data on the APTOS chain showed that there was a locked position worth US $28.69 million, an increase of 726% compared with the 3.47 million on October 21. Among them, AUX Exchange and LiquidSwap have the largest lock positions, reaching 16.96 million US dollars and 11.14 million US dollars, accounting for 97.9% of the total.

3. Aptos Token Economics

At 15:37 Taiwan time, Aptos officially announced its token economy overview on Twitter. The initial total supply of APT was 1 billion. The detailed token allocation is as follows:

Community:

51.02%, 510217359767 (510 million) pieces

Core contributors:

19.00%, 1900000000000 (190 million) pieces

Aptos Foundation:

16.50%, 165000000000 (165 million) pieces

investor:

13.48%, 134782640233 (134 million) pieces

Some 410217359767 (410 million) APTs of the community are held by the Aptos Foundation, and the remaining 100000000 (100 million) APTs are held by Aptos Labs.

In addition, the Aptos Foundation will distribute 410 million tokens within ten years in three types of situations:

125000000 APT (125 million) for ecosystem projects, grants and other community growth plans in support of community categories

5000000 APT to support Aptos Foundation's programs for foundation categories

The remaining 1/120 part of the community and foundation allocated is expected to be unlocked linearly every month in the next 10 years

The number of tokens held by investors is relatively small, accounting for 13.48% of the total number of tokens held, which is 134 million APTs.

From the perspective of the holding time of token holders, the lock in period of core contributors and investors is 4 years.

From the launch of the main network, all investors and current core contributors have a four-year unlocking period. The detailed unlocking conditions are as follows: no $APT will be unlocked in the first 12 months;

3/48 APTs will be unlocked every month from the 13th month to the 18th month (including the 18th month) after the release of the main website;

After the 19th month after the release of the main website, 1/48 APTs will be unlocked every month;

All APT tokens will be fully unlocked four years after the main network is launched.

Therefore, judging from the selling pressure, the market selling pressure of APT has not changed much since the launch of APT in major exchanges recently. In terms of trading volume, APT's trading volume after October 24 was in a shrinking state, which means that APT's price performance was relatively stable. From October 19 to October 24, APT continued to rise in volume, with the closing price rising by 9.32%. After the short-term shrinkage is over, we can continue to focus on low absorption opportunities and wait for the price to break through.

Пов'язані матеріали

Lei Jun Earns 7 Billion in One Day from CXMT's IPO? Xiaomi Executive Responds

On July 28th, Changxin Technology's stock price on the Sci-Tech Innovation Board experienced minor fluctuations. The company had made a historic market debut the previous day, becoming the first A-share stock to record a single-day trading volume exceeding 1 trillion yuan. This led to significant paper gains for its strategic investors. Among them, Xiaomi's wholly-owned subsidiary was allocated 18.24 million shares with an initial investment of approximately 158 million yuan. Reports estimated a paper profit of 717 million yuan for Xiaomi founder Lei Jun based on his shareholding structure. However, a Xiaomi executive clarified that this was a corporate investment and should not be conflated with personal wealth. Other major beneficiaries included Alibaba and Nio. Alibaba, an early investor, held nearly a 5% stake through two entities, with an estimated paper gain exceeding 160 billion yuan. Nio, participating in the strategic placement, also saw substantial paper returns. Additionally, state-owned banks and insurance institutions that invested in Changxin recorded potential gains in the hundreds of billions. Conversely, companies like Country Garden reportedly missed out on nearly 50 billion yuan in potential gains after divesting their stakes before the IPO due to liquidity pressures. The article notes that these are paper profits based on the listing price, as the allocated shares are subject to lock-up periods, and final realized gains will depend on future stock performance. An employee from Changxin Technology commented that ordinary staff remain focused on their salaries and benefits rather than the market hype.

marsbit9 хв тому

Lei Jun Earns 7 Billion in One Day from CXMT's IPO? Xiaomi Executive Responds

marsbit9 хв тому

Selling Tokens or Selling Outcomes: Several Paradoxes of the AI Business Model

"The Token vs. Outcome Sale: Key Paradoxes in the AI Business Model By mid-2026, the AI industry shows rapid growth in revenue and token usage, yet the underlying business models differ significantly. This article analyzes four structural paradoxes defining the current landscape, all pointing to the commoditization of intelligence and the concentration of profits in few segments. **The Cost Paradox: Cheaper Tokens, Heavier Bills** Despite a >95% price drop for equivalent AI capability since 2023, total spending has skyrocketed due to the Jevons Paradox: lower prices expand usage into previously uneconomical tasks. Furthermore, the shift to autonomous agents operating 24/7 multiplies consumption. However, efficiency gains often remain unrealized due to unchanged organizational workflows (the Solow Paradox). The focus is shifting from optimizing token price to optimizing the task itself. **The Hierarchy Paradox: The App is King vs. The App is Dead** While conventional wisdom holds that value accrues at the application layer, the AI stack is inverted. Infrastructure (chips) captures ~70% of industry revenue and ~80% of gross profit, while application-layer margins are thin (0-30%). Fast-evolving base models threaten "thin" apps. Sustainable applications are those that embed intelligence into specific contexts, possessing private data, workflows, or delivery capabilities that become more valuable as the base model improves. **The Responsibility Paradox: Profit Follows Accountability** Growth rates alone don't guarantee profit. A key differentiator is a company's willingness and ability to take responsibility for specific outcomes. Selling by the token competes for IT budgets; selling by the outcome (e.g., a resolved support ticket) taps into larger human labor budgets. Low-responsibility, high-volume tasks (e.g., generic客服) face commoditization. High-stakes, regulated domains (e.g., law, healthcare) where vendors assume heavier liability for results command higher margins, as seen with companies like Harvey in legal tech. **The Open-Source Paradox: Open Wins Traffic, Closed Wins Revenue** Open-source models dominate in usage share and developer adoption, often being 5-20x cheaper. However, closed-source models still capture the majority of enterprise spending (~89%). Enterprises pay a premium for closed-source reliability, support, compliance, and accountability. The total cost of ownership (TCO) is converging as closed-source prices fall faster than open-source builds trust, leading to hybrid deployments. Profit is migrating from the model layer itself to upstream (compute) and downstream (orchestration, data, services)."

marsbit10 хв тому

Selling Tokens or Selling Outcomes: Several Paradoxes of the AI Business Model

marsbit10 хв тому

Ethereum's 2030 Blueprint: 200x Speed Increase, Quantum-Resistance, and Native Privacy

Ethereum's 2030 Roadmap: 200x Speed, Quantum-Resistant, Native Privacy Ethereum, now in its 11th year, is guided by the "Lean Ethereum" vision, a unified development blueprint aiming to streamline the network. This plan, outlined in the evolving "Strawmap" document, targets five core goals for 2030. **1. Fast L1:** Ethereum aims for near-instant finality and faster block times. By using Zero-Knowledge (ZK) proofs to aggregate validator votes, final confirmation could drop from ~15 minutes to seconds. Block times are slated to decrease from 12 seconds to 6 seconds (2027-28) and eventually 4 seconds (2029-30). The minimum staking requirement may also lower to 1 ETH, enhancing decentralization. **2. 1 Billion Gas L1:** To break the scalability-decentralization trade-off, L1 ZK-EVM will replace redundant transaction execution with ZK proofs. This allows nodes (even on phones) to verify blocks without re-running computations, paving the way to increase L1 throughput ~200x to 1 billion gas per second. **3. Trillion-Gas L2:** Ethereum will become a high-capacity settlement layer for Layer 2 networks (L2s). Planned upgrades, like PeerDAS and subsequent optimizations, target 1 GB per second of data bandwidth for L2s (Blobs), enabling a massive ecosystem of high-throughput rollups for specialized use cases. **4. Quantum-Resistant L1:** To counter future quantum computing threats, Ethereum plans to migrate its cryptographic signatures (ECDSA, BLS) to quantum-resistant, hash-based schemes. This multi-upgrade transition is targeted for completion by 2029, securing the network in the post-quantum era. **5. Privacy-Native L1:** For the first time, native transaction privacy is an official goal. Using ZK proofs, transactions could hide sender, receiver, and amount while proving compliance with rules. This infrastructure is tentatively planned, though details remain fluid and subject to regulatory landscapes. Driven by a broader ecosystem beyond the core Foundation, this ambitious roadmap seeks to make Ethereum faster, more scalable, quantum-secure, and private, while preserving its core tenets of neutrality and trustlessness. All plans remain subject to ongoing research, audits, and community consensus.

marsbit23 хв тому

Ethereum's 2030 Blueprint: 200x Speed Increase, Quantum-Resistance, and Native Privacy

marsbit23 хв тому

Торгівля

Спот
活动图片