Bitget 如何评估代币：早期发现隐藏宝石的方法

通过结合 Bitget 在链下指标方面的专业知识和 Nansen 在链上数据分析方面的专业知识，我们评估了项目的真正潜力。

1. Several protocols, including Optimism, Sui, and Wormhole, are set to unlock their tokens next week, with a combined value exceeding $340 million. Investors should anticipate price volatility and prepare for potential market shifts. The impact of the unlock on specific tokens will vary depending on the portion of the total supply entering circulation. For instance, Optimism will unlock 31.3M tokens, which is less than 3% of the current circulating supply, compared to Wormhole, which will release 600M tokens in addition to 1.8B already in circulation.

1. 包括 Optimism、Sui 和 Wormhole 在内的多个协议将于下周解锁其代币，总价值超过 3.4 亿美元。投资者应预测价格波动并为潜在的市场变化做好准备。解锁对特定代币的影响将根据进入流通的总供应量的比例而有所不同。例如，Optimism 将解锁 3130 万个代币，不到当前流通供应量的 3%，而 Wormhole 将在已流通的 1.8B 代币之外释放 6 亿个代币。

2. Bitget employs a unique methodology to evaluate early-stage projects, considering both off-chain and on-chain metrics. The five key factors include market traction, community, technological innovation, tokenomics, and security. We aim to list promising assets swiftly but must also thoroughly assess all risks and the project's security, striking a balance between these aspects.

2. Bitget 采用独特的方法来评估早期项目，同时考虑链下和链上指标。这五个关键因素包括市场吸引力、社区、技术创新、代币经济和安全性。我们的目标是迅速列出有前景的资产，但也必须彻底评估所有风险和项目的安全性，在这些方面取得平衡。

3. Depending on the project's growth stage, we use different metrics to assess its potential. For protocols yet to release a token or having done so recently, we rely on off-chain metrics. First, we evaluate market traction and community, considering the number of people eligible for the airdrop and the project's social media following, which helps us gauge market demand. Second, we examine the market pain points the project aims to solve, assuming that technological innovations meeting real market needs have growth potential.

3. 根据项目的成长阶段，我们使用不同的指标来评估其潜力。对于尚未发布代币或最近已经发布代币的协议，我们依赖链下指标。首先，我们评估市场吸引力和社区，考虑有资格获得空投的人数和项目的社交媒体关注者，这有助于我们衡量市场需求。其次，我们审视该项目旨在解决的市场痛点，假设满足实际市场需求的技术创新具有增长潜力。

4. Evaluating the community is among the first steps in assessing a project's strength. Interest from market participants and users indicates how much the product is in demand. To examine the community and verify the on-chain metrics (if there are any so far), we check Bitget's database of KOLs and top traders to see how they engage with the project. Then, we analyze Google Trends to find out how widely the project is discussed. Finally, we look at the protocol's social media (mainly X, Telegram, and Discord) to check their follower count, the post engagement rates, and other indicators.

4. 评估社区是评估项目实力的第一步。市场参与者和用户的兴趣表明该产品的需求量。为了检查社区并验证链上指标（如果到目前为止有的话），我们检查了 Bitget 的 KOL 和顶级交易者数据库，了解他们如何参与该项目。然后，我们分析 Google 趋势，了解该项目的讨论范围。最后，我们查看该协议的社交媒体（主要是 X、Telegram 和 Discord），以检查其关注者数量、帖子参与率和其他指标。

5. We believe in transparent communication: when something goes wrong, it is crucial to remain completely honest with the community. It’s natural that when a team struggles to deliver results by the promised time, negative community sentiment arises. However, delays happen for various reasons — sometimes, projects need more time to ensure a high level of product quality, and sometimes, they need to wait out unfavorable market conditions. In any case, it is essential to communicate this transparently with the people — staying in touch and open to discussions helps build long-term trust. After all, users will appreciate the work that has been done even with the delays. The key is to communicate the issues properly.

5. 我们相信透明的沟通：当出现问题时，对社区保持完全诚实至关重要。当一个团队难以在承诺的时间内交付成果时，社区的负面情绪自然会出现。然而，延迟的发生有多种原因——有时，项目需要更多时间来确保高水平的产品质量，有时，他们需要等待不利的市场条件过去。无论如何，与人们透明地沟通这一点至关重要——保持联系和开放讨论有助于建立长期信任。毕竟，即使有延迟，用户也会欣赏已经完成的工作。关键是要正确地沟通问题。

6. AI lets us spot things that analysts cannot see with the naked eye. It can process vast amounts of data from social media, news articles, financial reports, and blockchain transactions — and reveal patterns invisible to humans. Algorithms analyze public sentiment, predict future prices based on historical data, evaluate the risk associated with particular tokens, and much more. Importantly, machine learning models continuously improve as they process more data over time.

6.人工智能让我们能够发现分析师用肉眼无法看到的东西。它可以处理来自社交媒体、新闻文章、财务报告和区块链交易的大量数据，并揭示人类看不见的模式。算法分析公众情绪，根据历史数据预测未来价格，评估与特定代币相关的风险等等。重要的是，机器学习模型随着时间的推移处理更多数据而不断改进。