1. Optimism, Sui, and Wormhole amongst others, are set to unlock tokens next week, with the total value of these tokens surpassing $340 million. What should investors be looking at?
Many see token unlocks as a reason to stay alert: they often lead to price volatility, causing investors to worry about their assets. We should definitely expect at least some price fluctuations. They may not be the same for different coins: the unlock’s impact can be greater if a significant portion of the total supply enters circulation, and vice versa. For example, Optimism unlocks 31.3M tokens, which is less than 3% of the 1.1B current circulating supply. Its token unlock effect may be milder than that of Wormhole, which releases 600M tokens in addition to 1.8B currently in circulation.
The price dynamics of specific tokens will also largely depend on investor sentiment toward particular projects. Negative sentiment might lead to selling pressure, while positive sentiment can mitigate price drops.
2. Are there any challenges Bitget faces when reviewing token listings? How do you pin “hidden gems” in the early stages?
We at Bitget have developed our own methodology for evaluating early-stage projects, which includes both off-chain and on-chain metrics. The five main factors we consider are market traction, community, technological innovation, tokenomics, and security. We strive to list promising assets as quickly as possible, but we also must thoroughly assess all risks and the security of the project — balancing these two aspects is perhaps the greatest challenge.
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3. Using Bitget’s expertise in off-chain metrics and Nansen’s expertise in on-chain data analysis, how do you assess the true potential of a project?
It depends on the growth stage of the project. If the protocol is just about to release a token or has done so recently, there is still too little on-chain data to rely on, so we look at off-chain metrics.
First, we evaluate market traction and community — how many people are eligible for the airdrop? How many followers does the project have on social media? These numbers help us assess the market demand for this new protocol. Second, we look at the market pain points the project aims to solve — assuming that technological innovations that meet real market needs have growth potential.
Third, Bitget evaluates the project’s tokenomics — it should be robust enough to ensure the project will be sustainable in the long term. We check if the amount that the project raised in a token sale matches its valuation, assess investors’ reputations, and examine the token unlock schedule. Finally, Bitget verifies the project’s security — we make sure that the smart contract doesn’t have vulnerabilities and that the project doesn’t pose financial, compliance, ethical, and other risks.
For already running projects, we use on-chain metrics to score their potential. We ensure the project demonstrates confident trading activity, evaluate its total value locked (TVL), compare the token’s trading volume with its fully diluted valuation (FDV), and apply a number of complex statistical tests. All of this ensures that Bitget users have access to the best investment opportunities and engage with trustworthy projects only.
4. How crucial is community in evaluating a project’s strength? What metrics does Bitget use to assess community strength in early-stage tokens?
Evaluating the community is one of the first things we do when checking a new project. 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 look into Bitget’s own database of KOLs and top traders and 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.
Sometimes, in the project’s Discord channel, OTC trading occurs before the token is listed on any exchange. This also points to a certain level of FOMO around the project, serving as an additional growth factor.
5. Staying on community. What strategies can be used to manage community sentiment during unforeseen challenges such as the delayed CATI token airdrop of the Catizen crypto game and the resulting disappointment of its community?
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 discussion 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.
6. What will be the role of AI in token evaluations? How can smart investors use AI to their advantage for token investments?
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.
Investors can leverage AI, too, to maximize their profits. AI-driven trading bots can provide deep insights into tokens’ performance, execute trades based on real-time market analysis, and make market predictions. Machine learning models can spot projects’ risks and analyze sentiment around tokens, providing early warnings about market shifts or new opportunities.
AI helps investors gain a strong competitive edge — however, it’s not a panacea. No one, including AI, can predict prices precisely and detect all possible risks. Trading decisions still remain the responsibility of the investors themselves.
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