Gate 2025 Spot Listing Key Data: Nearly 80% of exclusive projects open with a 30-minute price increase, with a median rise of approximately 81%

PI-0,17%
UB1%
MUBARAK4,66%
USELESS-1,96%

In 2025, the total market capitalization of the crypto market repeatedly hit new all-time highs, on-chain stablecoins and asset tokenization scales continued to expand, and capital flows between on-chain and centralized trading platforms accelerated significantly. In this environment of high volatility and high supply, the platform’s ability to cover and select new assets, as well as the price discovery and pricing trajectories after assets go live, become important entry points for observing liquidity absorption efficiency and changes in risk appetite. Based on a sample of 447 newly listed spot assets on Gate in 2025, this article conducts statistical retrospectives across multiple time windows from 5 minutes to 30 days after listing, using indicators such as the proportion of gains, the increase in rising samples, and median values to depict overall performance and structural differences.

Overall Sample Overview: Listing Structure and First-Day Return Distribution

In terms of supply quantity, a total of 447 new assets were listed on Gate in 2025, including 318 initial listings (28 of which are exclusive) and 129 non-initial listings, with initial listings accounting for approximately 71%. The new asset supply on the platform mainly comes from initial projects, rather than secondary listings of existing tokens from other platforms.

If we take the opening price at listing as a uniform baseline, about 54.8% (245/447) of assets remained above the opening price 24 hours after listing. Among the rising samples, the average increase within 24 hours reached 635%; however, from the full sample (including declining projects), the median increase at 24 hours was 7.57%. After removing extreme fluctuations (increase >1,000% or <-90%), it further converged to 3.71%. This comparison reflects that there is significant excess return potential within the first-day window, but also indicates that high-multiplier surges are concentrated in a small number of tokens, with the overall return distribution exhibiting a typical long-tail characteristic.

Further splitting by listing type, there are obvious differences in performance on the first day: initial projects have a median increase of 12.56% (excluding outliers of 8.03%), significantly higher than non-initial projects at 1.18% (excluding outliers of 0.86%). This difference is not only evident within the 24-hour window but also becomes more pronounced at finer early time points, forming clearer stratification of return curves among different types.

Multiple Time Windows: Return Trajectories from 5 Minutes to 30 Days

Dissecting by time dimension, the performance of new tokens on Gate at 5 minutes, 30 minutes, 1 hour, 12 hours, 24 hours, 72 hours, 7 days, and 30 days was segmented and analyzed:

1. Short-term windows show higher positive return coverage

All 447 samples exhibit higher positive return coverage in short-term windows after listing, but this advantage diminishes as time extends.

Calculations based on the full sample:

  • 30 minutes: 276/447 rose, proportion 61.74%
  • 24 hours: 245/447 rose, proportion 54.81%
  • 72 hours: 226/447 rose, proportion 50.56%
  • 7 days: 211/447 rose, proportion 47.20%
  • 30 days: 157/447 rose, proportion 35.12%

Overall, the majority of “more than half” of the assets’ rising quantity occurs within 24 hours after listing; by around 72 hours, the proportion of rising assets approaches 50%; at 30 days, the number of rising samples drops to about one-third.

2. Clear median return differentiation between initial and non-initial projects in early windows

From the median return time series, different types of new projects on Gate show clear stratification in early windows after listing: initial projects, especially exclusive ones, maintain higher median return levels at multiple time points from 5 minutes to 24 hours; non-initial projects’ median returns are generally closer to zero. As the window extends to 72 hours and beyond, the median returns weaken and gradually converge.

Comparing median increase between initial and non-initial projects in the full sample:

  • 30 minutes: initial 25.69%, non-initial 0.98%
  • 24 hours: initial 12.56%, non-initial 1.18%

Corresponding to the number of assets that rose also differs:

  • 30 minutes: initial 65.09%, non-initial 53.49%
  • 24 hours: initial 55.97%, non-initial 51.94%

It is evident that during the core price discovery window after asset listing, the median return space for Gate’s initial samples is larger, while non-initial projects tend to fluctuate more narrowly around zero, especially for Gate’s exclusive listings, which show higher positive return coverage: the proportion of assets rising within 30 minutes after opening approaches 80% (22/28), with a median increase of about 81%; at the 1-hour window, the median increase still exceeds 60%.

3. Around three days is a key point where overall returns shift from being predominantly positive to a state where “only a few can continue rising, most retreat or weaken”

From the median time series of the full sample, the median increase at 24 hours remains positive (7.57%), but by 72 hours it weakens significantly (median increase 1.20%, excluding extreme values of -0.49%), indicating that around three days, the break-even point is reached. Beyond that, in the 7-day and 30-day windows, median increases drop to -3.10% and -25.01% (excluding extreme values of -5.72% and -24.12%), respectively, with the proportion of rising assets also falling back to 47.20% and 35.12%. These results suggest that the return structure of new tokens does not follow a linear continuation; in the roughly three-day window, the advantage of price discovery diminishes, and trend divergence and retracement among assets begin to dominate.

Initial, Exclusive, and Non-initial: Divergence of Return Curves and Opportunity Density

Through the above multi-time window data analysis, it is clear that Gate’s initial projects and non-initial projects exhibit different return curve patterns: initial projects are more likely to realize visible gains and higher coverage of rises, while non-initial projects tend to fluctuate more gently around zero. Behind this difference is Gate’s systematic approach to new listings, project selection, and initial launch execution throughout the year: initial projects not only constitute the main part of new supply (318/447), but also are more likely to generate clearer market feedback during the critical price discovery phase.

Within the initial listing system, exclusive projects further strengthen this feature: they are more like “selected samples” of Gate’s initial launch capability, showing higher positive return coverage and clearer price feedback in early windows—exclusive projects have an almost 80% positive return coverage within 30 minutes of opening, with a median increase of about 81%, and over one-third of exclusive projects achieve ≥100% increase within 30 minutes.

The significance of exclusive samples is not only in their individual gains or losses but also in their more direct reflection of Gate’s comprehensive ability in project screening, initial launch execution, liquidity organization, and market heat capture—meaning the platform can not only provide new supply but also turn “listing” into a process of market-quickly-verified trading, pricing, and wealth creation effects.

Looking back at representative projects in 2025, Gate’s initial launch system is not short of cases with “tens of times” wealth effects. From entry tokens with massive user and traffic bases, to AI infrastructure and other technological narratives, to Meme assets driven by community culture, some initial projects have achieved rapid transitions from attention to trading heat and price re-evaluation within short cycles. Although high-multiplier returns are not uniformly present across all assets, exclusive projects within initial listings are more likely to generate strong market feedback, precisely reflecting Gate’s efficiency in screening high-attention assets, executing launches quickly, and absorbing liquidity at key windows.

  1. For assets with “massive user scale and traffic entry points,” projects like Pi Network (PI) have extremely high external attention and community support. After listing on Gate, PI’s 7-day increase approached 60 times. For the platform, the challenge is not just “whether to list,” but whether it can quickly absorb the concentrated trading demand amid high attention and controversy, facilitate efficient price discovery within key windows, and convert attention into tangible trading activity and wealth effects.
  2. As the AI narrative continues to expand in 2025, moving from application layer to infrastructure layer, Gate continues to cover AI+Infra assets, forming a more complete new listing structure between “traffic-driven” and “technology-driven” assets. For example, early AI infrastructure potential tokens related to protocols like x402, such as Unibase (UB), show steady upward trends after listing on Gate, maintaining relative stability during market volatility on October 11, and ultimately reaching an ATH of $0.086 on October 30, over 500% above the opening high.
  3. In the cycle of Crypto-native Meme and community culture acceleration, attention often exhibits high-frequency shifts, explosive dissemination, and rapid differentiation. Projects like Mubarak (MUBARAK) and Useless (USELESS) derive their pricing logic more from cultural symbols, dissemination efficiency, and community consensus diffusion speed. The platform’s capability in this category hinges on its ability to respond quickly during hotness surges and promptly absorb trading demand. After Gate listed MUBARAK during the initial hype, its single-day increase once exceeded 120%. This demonstrates Gate’s keen grasp of the attention economy rhythm—keeping pace with hot trends and being able to absorb them, which also helps the initial listing pool maintain stronger participation and higher opportunity density amid narrative rotations.

In summary, based on the 447 newly listed spot assets on Gate in 2025, the data reveal three relatively clear conclusions: First, in a high-volatility, high-supply market environment, Gate maintains a high density of new asset supply, with initial listings accounting for about 71%, making the initial listing pool the main structure of new supply; second, from 5 minutes to 24 hours, the critical price discovery window, median returns and positive return coverage are more prominent for initial and exclusive samples, indicating Gate’s rapid listing and easier early-stage wealth effects; third, extending to 72 hours, 7 days, and 30 days, median gains weaken and diverge, suggesting that the return structure of new tokens is not linear, but this also highlights the platform’s value in early window screening and execution—during narrative rotations and frequent attention shifts, Gate’s initial and exclusive systems are more capable of converting attention into trading activity and pricing results, and can generate stronger wealth effects and market responses on some high-potential projects.

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