Gate 2025 Spot Listing Key Data: Nearly 80% of Exclusive Projects Close Higher Within 30 Minutes of Opening, Median Gain | Bee Network
The 447 samples overall showed higher positive return coverage in short-term windows after listing, but this advantage diminishes over time. Calculated based on the full sample: • 30 minutes: 276/447 assets rose, accounting for 61.74% • 24 hours: 245/447 assets rose, accounting for 54.81% • 72 hours: 226/447 assets rose, accounting for 50.56% • 7 days: 211/447 assets rose, accounting for 47.20% • 30 days: 157/447 assets rose, accounting for 35.12% Overall, the time range where “the proportion of rising assets exceeds half” is mainly concentrated within 24 hours after listing. By around 72 hours, the proportion of rising assets is close to 50/50. At the 30-day dimension, the number of rising samples drops to about one-third. 2. Significant Divergence in Median Returns Between Initial and Non-Initial Listings in Early Windows
Looking at the time series of median returns, Gate’s different types of new projects show clear stratification in early post-listing windows: initial listing projects, especially exclusive ones, maintain higher median return levels at multiple time points from 5 minutes to 24 hours; the median for non-initial listing projects overall stays closer to the zero axis. As the window extends to 72 hours and beyond, medians generally weaken and gradually converge. Comparing the median gain of the full sample with that of initial and non-initial listing projects: • 30 minutes: Initial 25.69%, Non-initial 0.98% • 24 hours: Initial 12.56%, Non-initial 1.18% A corresponding gap also exists in the number of rising assets: • 30 minutes: Initial 65.09%, Non-initial 53.49% • 24 hours: Initial 55.97%, Non-initial 51.94% It is evident that during the most critical price discovery window after asset listing, Gate’s initial listing samples offer greater median return potential, while non-initial listings are closer to “narrow fluctuations around the zero axis.” Exclusive Gate listings, in particular, exhibit higher positive return coverage: nearly 80% (22/28) of exclusive projects rose within 30 minutes of opening, with a median gain of approximately 81%; in the 1-hour window, the median gain still exceeded 60%. 3. Around Three Days is the Key Node Where Overall Positive Returns Shift to “Only a Few Can Sustain Gains, Most Give Back or Weaken”
Observing the time series of the full sample median, the median gain in the 24-hour window remains positive (7.57%), but weakens significantly by 72 hours (median gain 1.20%, -0.49% after removing extremes), indicating that the break-even line is approached around the three-day mark. Subsequently, entering the 7-day and 30-day windows, median gains drop to -3.10% and -25.01% respectively (after removing extremes: -5.72% and -24.12%), and the proportion of rising projects also declines to 47.20% and 35.12% respectively. This result shows that the return structure of new tokens post-listing does not exhibit a linear continuation relationship. On a timescale of around three days, the advantages of the price discovery phase gradually fade, and trend divergence and pullbacks among assets begin to dominate. Initial, Exclusive, and Non-Initial Listings: Return Curve Divergence and Opportunity Density Through the above data statistics across multiple time windows, it is evident that Gate’s initial listing projects and non-initial listing projects exhibit different return curve patterns. Initial listings are more prone to converting hype into more visible gains and higher rising coverage, while non-initial listings are closer to relatively flat fluctuations around the zero axis. Behind this difference lies the systematic outcome of Gate’s annual listing structure, project selection, and initial listing execution: initial listing projects not only constitute the main body of new supply in terms of quantity (318/447) but also tend to generate clearer market feedback during the most critical price discovery phase. Within the initial listing system, exclusive listing projects further reinforce this characteristic: they resemble a “curated sample” of Gate’s initial listing capability, demonstrating higher positive return coverage and clearer price feedback in early listing windows—nearly 80% of exclusive projects achieved positive returns within 30 minutes of opening, with a median gain of about 81%, and over one-third of exclusive projects realized gains ≥100% within 30 minutes. The significance of exclusive samples lies not only in the rise or fall of individual projects but also in their more direct reflection of Gate’s comprehensive capabilities in project screening, initial listing execution, liquidity organization, and market heat capture—meaning the platform can not only provide new supply but also transform “new listings” into a process of trading, pricing, and wealth effect creation that can be quickly validated by the market. Looking back at the trajectories of representative projects in 2025, Gate’s initial listing system is not short of “multi-tenfold” wealth effect cases. From entry-level assets with massive user and traffic bases, to technical narrative targets like AI infrastructure, to community culture-driven Meme assets, some initial listing projects completed rapid transitions from attention to trading volume to price revaluation within short cycles. Although high-multiple returns do not occur uniformly across all assets, exclusive projects within initial listings clearly tend to generate stronger market feedback, precisely reflecting Gate’s efficiency in screening high-attention assets, execution speed for initial listings, and liquidity absorption capability during critical windows. 1. Among assets in the “ultra-large user scale and traffic entry” category, projects represented by Pi Network (PI) possess extremely strong external attention and community foundations. After listing on Gate, PI’s price rose nearly 60x within 7 days. For the platform, the challenge with such assets is not merely “whether to list,” but also whether it can quickly absorb concentrated incoming trading demand amidst an environment of both high attention and high controversy, drive efficient price discovery within critical windows, and convert attention into tangible trading volume and wealth effects. 2. As the AI narrative continued to diffuse in 2025, moving from the application layer to the infrastructure layer, Gate consistently covered assets in the AI+Infra direction, forming a more complete listing structure between “traffic-type” and “technology-type” assets. Taking early-stage AI infrastructure potential targets like Unibase (UB), related to the x402 protocol, as an example, its phased price trend after listing on Gate showed characteristics of steady ascent. It remained relatively stable and continued its upward trajectory during the market’s sharp volatility on October 11, eventually reaching an ATH of $0.086 on October 30, representing a gain of over 500% from the opening high. 3. In a cycle where Crypto-native driven Memes and community culture accelerate segmentation, attention often exhibits characteristics of high-frequency migration, explosive dissemination, and rapid differentiation. Projects represented by Mubarak (MUBARAK) and Useless (USELESS) derive their pricing logic more from cultural symbols, dissemination efficiency, and the speed of community consensus diffusion. The key to a platform’s capability with such assets lies in whether it can respond quickly and timely absorb trading demand during the hype uptrend phase. After Gate listed MUBARAK during the early stages of its hype, its single-day gain once exceeded 120%. Behind this is Gate’s keen grasp of the rhythm of the attention economy—keeping up with and absorbing hype during uptrends, thereby maintaining stronger participation potential and higher opportunity density within its initial listing pool amidst narrative rotations. Synthesizing the sample of 447 assets newly listed on Gate’s spot market in 2025, the data reveals three relatively clear conclusions: First, in a market environment of high volatility and high supply, Gate maintained a high density of new asset supply, with initial listings accounting for approximately 71%, making the initial listing pool the main structure of the platform’s new supply. Second, from the critical price discovery windows of 5 minutes to 24 hours, the median returns and positive return coverage of initial and exclusive listing samples are more prominent, indicating that Gate not only lists assets quickly but also more easily generates perceptible wealth effects in early windows. Third, when the timeframe extends to 72 hours, 7 days, and 30 days, the median gains of the samples gradually weaken and enter a phase of divergence, suggesting that the return structure of new tokens is not linearly continuous. However, this precisely highlights the value of the platform’s screening and execution in early windows—in a cycle of accelerating narrative rotations and frequent attention shifts, Gate’s initial and exclusive listing systems can more easily convert attention into trading volume and pricing outcomes, forming stronger wealth effects and market responses for some high-potential projects. Gate Research Institute is a comprehensive blockchain and 加密貨幣currency research platform, providing readers with in-depth content including technical analysis, hot topic insights, market reviews, industry research, trend forecasts, and macroeconomic policy analysis. 免責聲明 Investing in the cryptocurrency market involves high risks. Users are advised to conduct independent research and fully understand the nature of the assets and products they purchase before making any investment decisions. Gate is not liable for any losses or damages resulting from such investment decisions. 本文源自網路: Gate 2025 Spot Listing Key Data: Nearly 80% of Exclusive Projects Close Higher Within 30 Minutes of Opening, Median Gain Approximately 81% Related: Matrixport 市場 Watch: Finding Support Amidst Pressure, Crypto Market Enters a Critical Observation Period BTC and ETH experience deep corrections, accelerating deleveraging in the industry. Within the industry, the deleveraging process has accelerated significantly. Rumors of “whale sell-offs” and the concentrated liquidation of highly leveraged long positions amplified the short-term decline. The tightening macro environment and structural industry consolidation resonated, becoming a major driver of this rapid market cooling. As of November 24th, Bitcoin was trading at approximately $87,000, and Ethereum at approximately $2,800. Over the past month, Bitcoin has been declining steadily from its high above $100,000 in late October, with a cumulative monthly pullback of approximately 20%, briefly dipping to around $81,600. Ethereum has fallen from a high of nearly $3,500, breaking below the $3,000 mark, with a monthly decline of approximately 15%–20%. Technically, the daily RSI for both BTC and ETH… #分析# 加密#市場#代幣© 版權聲明文章版权归作者所有,未经允许请勿转载。 上一篇 100 Billion Robots, Generative Monopoly, and the Compute Highway: The Liberman Brothers' Vision for AI's Endgame 下一篇 X Personally Terminates InfoFi Incentive Model, Marking the End of the "Mouth Farming" Era 相關文章 RWA Weekly Report | Nasdaq is striving to launch tokenized securities trading; the US Senate’s cryptocurrency market str 6086cf14eb90bc67ca4fc62b 22,923 1 到 2025 年比特幣用戶將達到 10 億:價格預測是多少? 6086cf14eb90bc67ca4fc62b 51,051 2 Interactive Tutorial | Perle Labs, with $17.5M in Funding, Launches Season 1 Points Campaign 6086cf14eb90bc67ca4fc62b 12,816 保管好您的密碼 #SAFU (CZ's Tips) Bee Intern 2,382,721 853 The latest SOL proposal aims to lower the inflation rate. What are the opponents thinking? 6086cf14eb90bc67ca4fc62b 16,272 2 OKX exchange launched an “in-house DEX,” but what exactly did it do? 6086cf14eb90bc67ca4fc62b 16,777 Bee.com 全球最大的 Web3 入口網站 合作夥伴 CoinCarp Binance CoinMarketCap CoinGecko 幣活 盔甲 下載Bee Network APP開啟您的Web3之旅 白皮書 角色 常問問題 © 2021-2026.版權所有。. 隱私政策 | 服務條款 下載蜜蜂網路APP 並開始 web3 之旅 全球最大的Web3入口網站 合作夥伴 CoinCarp Binance CoinMarketCap CoinGecko Coinlive Armors 白皮書 角色 常問問題 © 2021-2026.版權所有。. 隱私政策 | 服務條款 搜尋 搜尋站內鏈上社群媒體新聞 熱門推薦: 擼毛打金 數據分析 必關大神 教我避坑 繁體中文 English 简体中文 日本語 Tiếng Việt العربية 한국어 Bahasa Indonesia हिन्दी اردو Русский 繁體中文
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