Tired of Crypto Hype? CoinW Research Explains How They Spot Quality Assets

HONG KONG (June 9, 2025) – In the fast-paced and sometimes confusing world of cryptocurrency, figuring out which assets are genuinely valuable while steering clear of investments driven purely by hype is a major challenge for everyone involved, from individual investors to the exchanges themselves.

CoinW Research, a key team within the CoinW exchange, says it’s tackling this challenge head-on. According to a recent announcement, the team is committed to being independent, honest, and rigorous in its analysis, using a data-driven approach to cut through market noise, uncover long-term value, and strengthen risk management.

Acting as the main team for reviewing potential assets and researching different sectors, CoinW Research combines data science with industry know-how to provide insightful evaluations. Their work not only supports the CoinW platform’s growth but also aims to contribute to a healthier overall blockchain ecosystem.

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The report touches on the evolution of the market since CoinW Research was established in 2020, noting the shift from earlier speculative phases influenced by ICOs (Initial Coin Offerings) towards a focus on fundamental value, particularly with the rise of DeFi (Decentralized Finance).

Early on, CoinW Research developed its own system for evaluating assets called the SCORE model. This comprehensive system blends quantitative measurements with in-depth research into specific market sectors and projects. It’s become a benchmark for identifying quality assets, considering factors like:

  • Sector & Hype: Tracking market trends while aiming to filter out irrational speculation.
  • Code & Security: Ensuring strict security through smart contract audits and code transparency.
  • Operations & Outreach: Evaluating project fundamentals like economic models, marketing, user growth, and community engagement to gauge sustainability.
  • Resources & Teams: Assessing the experience and network strength of the project team.
  • Evaluation & Data: Using on-chain analytics to understand a project’s real value and activity.

The SCORE model is more than just a rating system; it’s CoinW Research’s philosophy in action, helping identify real innovation, manage risk, and simplify decisions for users and the exchange.

This approach has led to practical successes. For example, using the SCORE model, CoinW Research identified and supported projects early on, such as listing DeFi projects like YFI and YFII before they became widely popular. They also provided timely analysis during events like Sushiswap’s launch, allowing CoinW to be an early lister of SUSHI.

During more recent speculative periods, like the BRC-20 boom in 2023, CoinW Research maintained a disciplined approach. While many projects emerged, they approved listing only two – Ordi and SATS – after thorough security reviews. This cautious strategy paid off, with SATS, for instance, seeing its market cap grow significantly.

The team also focuses on decoding meme trends, identifying early momentum in ecosystems like Solana and strategically backing projects that showed underlying innovation, even if initially dismissed by others. In parallel, they’ve prioritized the emerging AI sector within blockchain, listing projects that leverage AI to improve performance and supporting public infrastructure initiatives.

Safe & Secure Crypto Exchange – CoinW

CoinW Research says its team combines experience from both Web3 innovation and traditional finance, working to turn insights into strategic actions. Over the past five years, they’ve aimed to stick to four core principles: keeping the user first, independent judgment, industry foresight, and strategic execution. They see themselves as both a strict filter for what gets listed and a benchmark in the Web3 space.

In a market that can often feel noisy and unpredictable, CoinW Research believes that real truth can be found in on-chain data and by looking at long-term trends, aiming to guide users towards value discovery with clear-headed rationality.


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