# Сопутствующие статьи по теме Airdrop

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Airdrop", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Why Do 85% of Token Launches Ultimately Become Expensive 'Funerals'?

According to Arrakis Research, 85% of tokens launched in 2025 ended the year with negative returns, highlighting a systemic failure in token design rather than market conditions. Token Generation Events (TGEs) are not celebrations but "open gladiator arenas" where flawed economic models are exploited. Key failures include excessive Fully Diluted Valuations (FDV) over $1 billion, which had a 100% failure rate, and low initial circulation, leading to massive sell pressure upon unlocks. Only 9.4% of tokens that dropped in their first week recovered. The report identifies four critical success factors: 1. **Sybil Resistance:** Filtering out airdrop farmers (e.g., LayerZero’s efforts reduced initial sell-off). 2. **Revenue-Based Airdrops:** Treating airdrops as customer acquisition costs tied to real protocol usage. 3. **Ready Infrastructure:** Staking, governance, and custody must be operational at launch to provide utility and retain holders. 4. **Effective Market Makers:** Choosing transparent market-making services that provide liquidity depth, not artificial demand. The ultimate goal is achieving decentralization in development, governance, value distribution, and participation. Success requires building genuine demand through protocol utility, not marketing hype. Tokens must be designed to withstand inherent sell pressure from airdrop recipients, exchanges, and market makers from day one.

marsbit02/24 09:21

Why Do 85% of Token Launches Ultimately Become Expensive 'Funerals'?

marsbit02/24 09:21

Data Modeling: How to Improve the Quality of Interaction on Polymarket?

Polymarket, a leading prediction market platform, is anticipated to have one of the largest airdrops in the sector. This analysis provides a data-driven strategy to optimize user interactions for potential rewards. A critical finding is that public dashboards often double-count trading volume by including both sides of a trade. The true, single-sided figure is likely half of what is displayed, which will be the metric Polymarket uses internally. User distribution data reveals extreme concentration: only 0.51% of addresses profited over $1,000, and a mere 1.74% traded over $50,000. Crucially, 79% of traders have never earned even $1 in liquidity provider (LP) rewards, making LP activity a currently undervalued and highly capital-efficient interaction. Historical airdrop precedents suggest rewards will be based on active behavior—not profitability—to avoid favoring insiders. A multi-dimensional model is predicted, likely featuring: * 40% weight on trade volume (using a square root compression formula to limit whale dominance). * 35% weight on LP rewards. * 15% weight on market diversity (number of distinct markets traded in). * 10% weight on longevity (months active). The analysis advises users to accumulate genuine, on-chain provable volume across diverse markets, hold positions for 1-24 hours, and, most importantly, begin providing liquidity to accumulate LP rewards, which are a strong anti-Sybil signal. A hard cap per address is also expected to prevent excessive concentration of the airdrop.

Odaily星球日报02/22 10:57

Data Modeling: How to Improve the Quality of Interaction on Polymarket?

Odaily星球日报02/22 10:57

The Evolution of Listing Cycles: Yesterday's Wind Won't Fly Today's Kite

The article "The Evolution of Listing Cycle: Yesterday's Wind Can't Fly Today's Kite" uses a dental braces metaphor to describe the structural evolution of cryptocurrency exchange listing processes from 2017 to 2025. It outlines four distinct phases: 1. **Community-Priced Era (2017-2018)**: A chaotic "milk teeth" period where listings were driven by community votes and loud narratives, with exchanges acting as passive platforms seeking user growth. 2. **Exchange-Priced Era (2019-2022)**: The "teeth-growing" phase where exchanges (e.g., via IEOs/Launchpads) became gatekeepers, providing due diligence and using new listings to empower their own ecosystem tokens. 3. **VC-Priced Collapse (2023-2024)**: A "malocclusion" period where high FDV, low float VC deals dominated, causing token prices to peak at launch. Excountered, exchanges intervened with measures like HODLer airdrops to redistribute value to retail users and counter VC dominance. 4. **Market/Derivatives-Priced Era (2025)**: The "orthodontic" phase marked by industrialization. Price discovery shifts to derivatives, with pre-market perpetual合约 trading allowing price formation before spot listing. Mechanisms like Binance Alpha act as a sandbox, requiring projects to prove market resilience. Concurrently, the "listing fee" model evolved: from direct payments to exchanges, to sharing tokens with the exchange's ecosystem, and finally to a current model where projects must allocate a significant portion of their token supply (3-7%) for user airdrops and marketing, effectively making listing a major customer acquisition cost. The core thesis is a transfer of pricing power: from community -> exchange -> VC -> finally to the market itself via sophisticated derivatives. The article concludes that the era of easy gains from simple listings is over, demanding greater professionalism from both projects and traders.

marsbit02/17 02:59

The Evolution of Listing Cycles: Yesterday's Wind Won't Fly Today's Kite

marsbit02/17 02:59

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