Aptos [APT] nears $1-support as $12.7M token unlock raises inflation fears

ambcrypto2026-02-08 tarihinde yayınlandı2026-02-08 tarihinde güncellendi

Özet

Aptos (APT) is facing significant selling pressure, with a 39% decline in the past month and a 67% drop from its November high. A key concern is an upcoming token unlock on February 10th, which will release $12.73 million worth of APT (1.48% of its circulating supply) into the market. This inflation event raises fears of increased selling, potentially driving the price toward the critical $1.00 support level. A break below this could result in a new all-time low. Despite the bearish outlook, some on-chain signals suggest a potential rebound. The RSI has entered oversold territory, indicating possible seller exhaustion and buyer interest. Furthermore, the MACD shows improving momentum. Liquidity conditions also show resilience, with the Total Value Locked (TVL) in the ecosystem increasing by $14.04 million since February 6th, and consistent weekly exchange outflows point to longer-term accumulation. However, short-term selling pressure remains, with daily net inflows to exchanges indicating ongoing distribution.

Aptos [APT] has been under sustained selling pressure for a while now, with the price consistently trending lower on the chart.

In the last 30 days alone, APT recorded a 39% drawdown. Over a longer timeframe, the losses amounted to 67% from its November high of $3.37 – A sign of its persistent bearish structure.

With new supply scheduled to enter circulation, questions have emerged around APT’s near-term direction and whether inflation-driven pressure could outweigh improving on-chain signals.

Inflation risk moves into focus

Aptos is scheduled for a token unlock on 10 February, introducing approximately $12.73 million worth of APT into circulation at press time valuations, according to DeFiLlama.

Here, token inflation refers to a hike in circulating supply due to new token issuance. It is typically used to reward network participants, support development, and incentivize ecosystem growth.

The upcoming unlock represents 1.13% of Aptos’s total supply and 1.48% of its circulating supply, underlining its potential market impact. The distribution will be allocated across core contributors, the community, and investors.

Historically, token unlocks have often triggered short-term sell pressure as recipients liquidate newly issued tokens. With community members and investors accounting for over 50% of the unlocked supply, or roughly $6.58 million, downside risk might be elevated.

In an already weak altcoin environment, reflected by a market index reading of 24, additional sell pressure could accelerate price declines.

APT tests critical support as exhaustion hit

On the weekly Binance chart, APT was trading at a pivotal technical level. The price had broken below the upper demand zone, previously highlighted as a key support area. At press time, it appeared to be hovering near the $1.00-level.

Failure to hold this support could result in a new all-time low, placing APT among a small group of assets to reach that threshold since the onset of the bear market.

While there is still some downside risk, technical indicators suggested that a rebound is still possible. Despite no confirmation or clear timing on the same.

The Relative Strength Index (RSI) entered a zone commonly associated with accumulation, where the probability of a price reversal increases too. It moved into oversold territory, a condition often linked to seller exhaustion and rising buyer interest at discounted levels.

This does not guarantee an immediate rebound though. And, further downside remains possible. However, historically, such conditions increase the likelihood of a corrective bounce.

Finally, the Moving Average Convergence Divergence (MACD) also hinted at improving momentum.

Liquidity and capital flows remain supportive

Despite price weakness, liquidity conditions did exhibit some resilience though. In fact, on-chain data indicated that the Total Value Locked (TVL), a measure of capital committed to the Aptos ecosystem, has continued to rise.

DeFiLlama data also revealed that since 06 February, the TVL has risen by $14.04 million. This implied that investors may be locking assets within the ecosystem, typically pointing to a longer-term view rather than short-term speculation.

Finally, in the spot market, exchange netflows hinted at steady accumulation. Weekly data revealed consistent outflows from exchanges beginning in early January, with $2.03 million worth of APT withdrawn this week alone.

However, short-term pressure persists. Daily netflow data found approximately $536,000 in net inflows to exchanges – Illustrative of ongoing selling activity.


Final Thoughts

  • A $12.73 million token unlock is expected to increase the circulating supply, raising downside risk.
  • On-chain indicators and capital flows suggested there may be early signs of selective accumulation by buyers.

İlgili Sorular

QWhat is the main concern raised by the upcoming Aptos token unlock on February 10th?

AThe main concern is that the $12.73 million token unlock will introduce new supply into circulation, raising inflation fears and the potential for increased selling pressure that could drive the price lower.

QWhat percentage of Aptos's circulating supply does the upcoming token unlock represent?

AThe upcoming token unlock represents 1.48% of Aptos's circulating supply.

QAccording to the article, what technical indicator suggests that a price rebound for APT is still possible?

AThe Relative Strength Index (RSI) has moved into oversold territory, a condition often associated with seller exhaustion and rising buyer interest, which increases the probability of a price reversal.

QWhat on-chain metric has continued to rise despite APT's price weakness, suggesting some resilience?

AThe Total Value Locked (TVL), a measure of capital committed to the Aptos ecosystem, has continued to rise, indicating investors may be locking assets for the longer term.

QWhat does the consistent weekly outflow of APT from exchanges since early January indicate?

AThe consistent weekly outflows from exchanges, including $2.03 million withdrawn this week, hint at steady accumulation by investors, suggesting they are moving tokens off exchanges for holding rather than immediate selling.

İlgili Okumalar

Has the 'Digital Gold' Narrative for BTC Failed?

**Title: Has the "Digital Gold" Narrative for Bitcoin Failed?** The article argues that Bitcoin's "digital gold" narrative remains valid despite a recent sharp price decline (from a peak near $126k in Oct 2025 to briefly under $61k in Feb 2026). It presents a long-term investment framework based on three core points: **1. Viewing Bitcoin as an Asset:** Bitcoin is presented as a superior potential store of value compared to gold. Key arguments are its absolute scarcity (21 million cap), superior portability, and transparent auditability via its public ledger. While acknowledging its current use in early, volatile stages (~3-4% global adoption), the author draws parallels to the early, disruptive phases of the internet and e-commerce. **2. Understanding the Recent Downturn:** The current ~50% correction is framed as a predictable, consensus-driven cycle following its post-halving peak (the 2024 halving preceded the Oct 2025 high). A crucial factor is a historic "changing of hands": the influx of new institutional buyers via ETFs allowed early, low-cost holders (miners, OG believers) to take profits. The author notes that while severe, Bitcoin's historical drawdowns (e.g., 93% in 2011, 77% in 2021-22) have been progressively smaller, suggesting maturing holder structure and decreasing volatility over time. **3. The Long-Term Perspective:** The long-term thesis hinges on Bitcoin capturing a portion of gold's market value. With Bitcoin's market cap at ~$1.4 trillion (at $70k) versus gold's ~$20 trillion, significant upside potential exists if the "digital gold" narrative is partially realized. However, the author strongly cautions that short-term risks remain, the bottom is unpredictable, and high volatility is inherent. The real risk is not Bitcoin failing but poor personal position management (over-leverage, wrong capital) and a lack of deep understanding, which can force investors out during severe downturns. The conclusion uses Amazon's 95% crash post-2000 dot-com bubble and subsequent 42x recovery as an analogy. The ultimate question is not if Bitcoin's price will rise, but if an investor's strategy and conviction can withstand the volatility to see the long-term play out. The recent divergence (gold up, Bitcoin down) is posed not as a narrative failure, but as potential evidence of this ongoing, painful transition from a speculative asset to a mainstream allocation.

marsbit4 saat önce

Has the 'Digital Gold' Narrative for BTC Failed?

marsbit4 saat önce

Has BTC's 'Digital Gold' Narrative Failed?

The article discusses Bitcoin's "digital gold" narrative, its recent price drop, and long-term outlook through the perspective of "Jason". It argues the narrative is not a failure but that Bitcoin represents a superior, new asset class due to its fixed supply (21 million), portability, and auditability. The piece compares its current ~3-4% global adoption rate to early internet/e-commerce, suggesting significant growth potential. Regarding the 2025-2026 price decline (from ~$126k to briefly under $61k), the author views it as a predictable, consensus-driven sell-off within Bitcoin's ~4-year cycle post-halving, exacerbated by a major "handover" from early, low-cost holders to new institutional buyers via ETFs. A key observation is that historical peak-to-trough drawdowns have lessened over time (e.g., 93% in 2011 to ~50% in 2026), indicating maturing volatility as holder structure changes. For the long term, the author uses a simple framework: Bitcoin's total market cap (~$1.4T at $70k) is only about 7% of gold's (~$20T). Even capturing 30-50% of gold's value would imply substantial upside. However, the article strongly cautions against viewing this as investment advice, emphasizing extreme volatility and the critical importance of risk management, position sizing, and deep fundamental understanding to survive severe drawdowns. It concludes by drawing a parallel to Amazon's 95% crash in 2000 and subsequent 42x recovery, stressing that the key is surviving market cycles to realize long-term potential.

链捕手5 saat önce

Has BTC's 'Digital Gold' Narrative Failed?

链捕手5 saat önce

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit5 saat önce

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbit5 saat önce

İşlemler

Spot
Futures
活动图片