LAB surges over 10 times in ten days, why is the AI trading terminal re-entering the market's hot zone?

Since May 2026, the overall crypto market remains in a clear oscillating structure. Although Bitcoin stays near high-level ranges, new market hotspots are unstable, and most funds still rotate in short-term trades. In this environment, directions that can quickly attract user attention are often not traditional public chains or infrastructure, but new tool-type products that can directly improve trading efficiency and enhance trading participation.

The recent rapid rise of LAB is, to some extent, a concentrated reflection of the market structure change after this stage. According to Gate market data, LAB’s price quickly surged from about $0.69 to around $7 within ten days, a stage increase of over 10 times. Compared to previous AI projects heavily driven by concepts, LAB’s current rally resembles a focused response to the re-entry of “AI trading terminals” into the market’s hot zone. Especially after early May, when LAB began to strengthen mobile functions, AI Agent automatic execution, and real-time strategy interfaces, discussions around AI-assisted trading have noticeably increased.

Compared to the concept-driven AI market in 2024, this round of market focus is gradually shifting from “Can AI change the industry” to “Is AI truly starting to influence user trading behavior.” The reason LAB has regained market attention is directly related to this shift.

Why did the market heat up quickly after LAB rose from $0.69 to $7

The core change in LAB’s rally isn’t just the price itself, but that it is now regarded by the market as one of the representative projects in the AI trading terminal direction.

Looking at the timeline, from late April to early May, the official X account of LAB continuously updated product interfaces, mobile functions, and Agent execution-related content. Meanwhile, several crypto trading KOLs publicly showcased screenshots of automated trading using LAB, gradually shifting LAB’s promotion from pure project publicity to real user scenarios.

Many past AI projects faced the problem that users found it hard to truly experience how AI capabilities are implemented; many products remained in chat, analysis, or concept demonstration stages for a long time. Recently, LAB’s focus has clearly shifted toward trading execution itself, including mobile strategy tracking, automatic order placement, real-time monitoring, and trading alerts. These features are more likely to form real usage scenarios and attract short-term traders’ interest.

At the same time, AI trading terminals are gradually adapting to the current market environment. Since the market remains in a high-volatility oscillation zone, user trading frequency has increased significantly compared to the previous long-term holding phase. Traditional reliance on Telegram signal groups and manual monitoring has exposed efficiency issues, while AI tools that can provide automatic alerts, strategy execution, and multi-market monitoring are regaining market attention.

Therefore, LAB’s rise is not just a re-emergence of the AI concept, but more like the market starting to seek new entry points to improve trading efficiency.

Why did user activity increase after LAB launched mobile functions

The recent market enthusiasm for LAB is strongly related to the launch of mobile features.

In early May, LAB’s official accounts continuously showcased mobile trading interfaces and emphasized the product direction of “tracking Agent strategies anytime.” Although this move appears as a simple product update, for AI trading projects, it actually signifies a change in user entry pathways.

Previously, many AI trading tools faced high usage barriers. Many products required deployment on web platforms, complex parameter configurations, or even scripting skills, which made them more accessible mainly to professional traders and difficult to reach a broader market.

The emergence of mobile functions reduces the participation cost of AI trading tools to some extent. Especially in the current market environment, many short-term traders have developed the habit of “instant trading on mobile,” preferring to observe, receive alerts, and make trading decisions via their phones rather than staying long on PC screens. Under this trend, AI trading products are migrating to mobile, essentially adapting to new user behavior structures.

From recent social media discussions, the new discussions around LAB are less about underlying technical routes and more about practical issues like “Is it convenient for monitoring,” “Can it reduce emotional trading,” and “Can it improve trading efficiency.” This indicates that market attention is gradually shifting from conceptual levels to user experience. Currently, LAB’s appeal is not solely to long-term AI researchers but also to active traders seeking more efficient trading methods.

Why did LAB regain attention after the resurgence of AI Agent trading

The revival of AI Agent trading in 2026 is clearly linked to the renewed focus on trading efficiency in the current market.

Over the past year, the crypto market experienced multiple hot sector shifts—from Meme assets, RWA, to on-chain yield protocols—funds have been constantly searching for new short-cycle trading directions. As major traditional hotspots entered consolidation phases, the market began to refocus on “trading efficiency” itself, and AI Agent trading re-entered the discussion zone.

Especially in high-frequency volatile environments, more users realize that relying solely on manual monitoring makes it difficult to cover the entire market 24/7. Whether it’s multi-chain asset monitoring, hot spot tracking, or real-time strategy execution, AI tools are beginning to show advantages.

Recently, the renewed interest in some AI strategy platforms, automated trading tools, and intelligent Agent projects indicates that the market is re-emphasizing “AI + trading.” LAB’s renewed attention is largely because it has been incorporated into this hot sector structure.

Compared to earlier AI projects focused on chatbots, the current market cares more about “execution capability.” Users are interested not just in whether AI can chat, but whether it can help them detect market changes faster and execute strategies more quickly. LAB’s recent emphasis on real-time monitoring and Agent execution logic aligns well with this market demand.

It’s worth noting that this wave of AI trading revival is still largely short-term oriented, with many funds focusing on phase-specific hotspots and trading sentiment rather than long-term fundamentals. Therefore, the current upward pace of AI trading projects is more susceptible to market sentiment.

Why are short-term funds starting to gather in AI trading assets

The recent resurgence of AI trading assets is partly due to short-term funds seeking new high-elasticity directions.

Although the market has not formed a unified main trend recently, AI trading has several characteristics very suitable for short-term participation: high dissemination efficiency, easy to generate social media discussion, intuitive product demonstrations, and user behavior that can be easily showcased. Compared to infrastructure projects requiring long-term validation, AI trading tools can more easily generate market buzz through screenshots, profit displays, and real-time operations—making them well-suited for the current emotional and short-cycle market environment.

Meanwhile, AI trading directions have strong hot-spot diffusion capabilities. After LAB’s rise, the market quickly shifted focus to other AI trading terminals, automated strategy tools, and Agent platforms, indicating that funds are not just flowing into a single project but trying to reactivate the entire AI trading sector.

From Gate’s hot asset rankings and recent market discussions, keywords like “AI Agent,” “auto trading,” and “smart strategies” are seeing increased discussion heat. Some industry media and data platforms are also re-aggregating AI trading project rankings, showing that market attention is gradually recovering.

However, this capital structure remains mainly trading-oriented rather than long-term allocation, so while sector enthusiasm rises quickly, volatility remains high.

Which user groups are actively trading during high volatility in LAB

Currently, active LAB users mainly fall into three groups.

The first are short-term high-frequency traders. These users are very sensitive to hot sector rotations and prioritize trading efficiency and immediate market response. LAB’s recent enhancements in real-time monitoring and mobile functions are particularly attractive to them.

The second group consists of early AI participants. Since the AI hot phase in 2024–2025, many users have already been exposed to AI-related assets. When AI trading reactivates, these users tend to return to familiar sectors first.

The third are strategy traders. Especially in the current oscillating market, more users are trying to reduce emotional impact through automation tools. The increased frequency of keywords like “automatic execution,” “real-time alerts,” and “copy trading logic” in discussions reflects this trend.

However, it’s important to note that LAB’s current user base remains primarily trading-oriented rather than long-term ecosystem users. This means market activity is high, but fund stability may be limited; once hotspots shift, short-term capital may exit quickly.

Why has the traditional signal group activity cooled as AI strategy trading expands

As AI trading tools regain popularity, a subtle change is that traditional signal groups are gradually cooling down.

In recent years, many short-term traders relied on Telegram, Discord, and other communities for signals. But as market pace accelerates, this model shows clear issues: many hot sectors are already in the first wave of price increases by the time signals spread, making it difficult for users to execute quickly in high volatility.

In contrast, AI strategy tools’ advantage lies in directly connecting monitoring, alerts, and execution processes. This structure is gradually changing some traders’ habits, reducing reliance on “manual signal calling” and shifting toward more automated trading.

To some extent, LAB’s recent attention indicates that the market is shifting from “information acquisition competition” to “execution efficiency competition.” As trading complexity increases, relying solely on manual analysis and community signals becomes less feasible for high-frequency environments. The true long-term value of AI trading tools may lie in their ability to improve execution efficiency.

Will LAB’s price stabilize after the correction from its high point

The sharp correction after LAB’s rapid rise is not surprising.

The overall AI trading sector remains highly volatile, with the market more focused on hot sector expectations rather than stable fundamentals. Therefore, after rapid gains, profit-taking and increased volatility are natural.

However, the current structure still offers some room for ongoing discussion. On one hand, the overall market lacks new unified hotspots, but AI trading tools that connect with real user needs are more likely to sustain attention than pure concept projects. On the other hand, features like mobile operation, automatic execution, and multi-market monitoring are gradually changing some user behaviors.

What’s more important now is whether AI trading tools can truly develop long-term user habits. If the market continues to emphasize “high-frequency + mobile trading,” AI trading terminals could shift from phase-specific hotspots to more stable product directions.

Conversely, if the market enters a low-volatility phase again, user trading frequency will decline, and the heat of AI trading assets may also diminish gradually.

Summary

LAB’s over 10x increase in ten days is not just a typical hot trend but more like a concentrated response after AI trading terminals re-enter the market’s attention zone.

Compared to the previous concept-driven AI phase, the current market is paying more attention to real trading scenarios, including automatic execution, mobile trading, real-time monitoring, and strategy assistance. This indicates that the market logic for AI trading tools is gradually shifting from “technological imagination” to “trading efficiency.”

However, the current capital structure of AI trading assets remains dominated by short-term funds, with high market volatility. Whether this trend can continue depends ultimately on whether AI tools can truly change user trading habits rather than just remain a phase-specific hotspot.

FAQ

Why did LAB suddenly surge recently?

LAB’s recent rise is related to the resurgence of AI trading terminal interest, along with updates to its mobile functions and strengthened focus on Agent trading.

Why is the AI trading terminal gaining renewed market attention?

Current high market volatility increases demand for automated monitoring, strategy execution, and mobile trading, making AI trading tools more attractive again.

What user groups are mainly attracted to LAB now?

Primarily short-term high-frequency traders, early AI sector participants, and strategy traders.

Will AI trading tools completely replace traditional signal groups?

Currently, it’s more about partial replacement. AI tools enhance execution efficiency, but community discussions and sentiment dissemination still play roles.

Can LAB’s popularity continue in the future?

The AI trading sector still has phase-specific hotness, but whether it sustains depends on real user retention and product adoption.