Author: Chloe, ChainCatcher
Opinion officially announced the token economics and roadmap for its native token OPN yesterday. At the same time, Binance also officially announced Opinion as the 72nd Launchpool project. According to the official roadmap, Opinion will conduct its TGE in the first quarter of this year, with the second quarter focusing on ecosystem growth and decentralized governance.
However, along with the good news of the listing came not only cheers from the audience but also numerous data points that raised market doubts, an airdrop ratio criticized as "ripping off" users, and market criticism of its "speedy path to Binance."
Why Now? The Factors Behind Abandoning User Growth for Token Issuance
In the global prediction market sector, Polymarket is undoubtedly the current recognized leader. However, despite having extremely high traffic during global elections and sports events, it has never announced any token issuance. This year, the demand for prediction markets has peaked. Opinion's抢先 (first-mover) listing on Binance at this time clearly aims to capture the attention and liquidity溢出 (overflowing) from the prediction market热潮 (boom) led by Polymarket. Moreover, by leveraging users' expectations of an airdrop, it seeks to establish a significant competitive advantage.
Additionally, for the vast number of retail investors, OPN, backed by Binance, has become the preferred choice for speculating on this narrative. As the first prediction market token listed on a CEX, OPN's scarcity has ignited a spark of excitement in the crypto industry today.
According to RootData, on February 4th, Opinion announced the completion of a $20 million Series A funding round with participation from Hack VC, Jump Crypto, Primitive Ventures, Decasonic, and others. However, @cryptobraveHQ pointed out that sources revealed that the vast majority of these participating investors have attached refund/principal protection agreements. Their nature is identical to BeraChain's principal-protected financing, essentially constituting a "pricing round" or "exchange listing round."
Furthermore, based on discussions with VC peers and exchange listing personnel, the general feedback suggests it is a typical吹水轮 (boastful round), pricing round, or花钱上所轮 (pay-to-list round). For VCs, rather than gambling on an uncertain future, it's better to capitalize on the current peak of the AI + prediction market narrative, complete the entire listing process swiftly, and achieve capital exit.
Massive Data Volume Questioned, Huge Discrepancy Between Number of Trades and Trading Volume
Perhaps in an effort to become the "first prediction market listing project," Opinion's impressive data was immediately questioned by the market.
Judging from Opinion's公开 (public) data, the trading volume in January 2026 reached $8.08 billion, accounting for 31% of the entire prediction market industry. A platform that only launched in October 2025 surpassed the trading volume of long-established players like Kalshi and Polymarket within a few months, being called the "fastest-expanding platform in prediction market history." DeFiRate scrutinized 17 consecutive weeks of on-chain data from Dune Analytics (from last October to this February) and found many anomalies that cannot be explained by normal platform growth logic.
1. Huge Discrepancy Between Number of Trades and Trading Volume:
The core issue is not the size of the trading volume, but the ratio between trading volume and the number of trades. In January 2026, Opinion's $8.08 billion trading volume came from 3.2 million trades, averaging about $2,525 per trade. During the same period, Kalshi generated $9.55 billion from 54.5 million trades, averaging $175 per trade; Polymarket generated $7.66 billion from 52 million trades, averaging $147 per trade. Simply put, Opinion produced 31% of the industry's trading volume with less than 3% of the industry's total number of trades.
This ratio has never been normal across more than ten consecutive weeks of data. The most extreme week was November 10th: Opinion produced $1.46 billion in trading volume from 218,582 trades, averaging a whopping $6,688 per trade; in the same week, Polymarket produced $952 million from 4.19 million trades, averaging $228 per trade. Opinion's number of trades was one-nineteenth of Polymarket's, yet its trading volume was 53% higher.
By February 9th, Opinion produced 13.2% of the industry's trading volume but contributed only about 0.7% of the number of trades. This 19:1 ratio has never been接近 (approached) by any prediction platform.
2. Abnormal Per Capita Trading Volume: Do New Users Actually Increase the Platform's Average Trading Volume?
The normal growth logic for a platform is: as the user base expands, incoming retail investors (new散户) lower the average trading volume per capita. Opinion's trajectory is恰恰相反 (precisely the opposite). According to DeFiRate data, at launch in October, 20,534 users generated a monthly trading volume of $38,537 per user; by January, the user base expanded to 101,954 people, but the per capita trading volume反而翻倍 (instead doubled) to $79,241. The platform size grew 5 times.
Typically, new users would lower the platform's average trading volume. But on the Opinion platform, each batch of new users actually increased the trading volume? This is截然不同 (completely different) from the natural growth seen on platforms like Polymarket, where the average trading volume per user grew steadily but slowly (August: $4,852/user, January: $11,817/user, user count grew 2.9x, trading volume grew 2.4x).
3. Dramatic Fluctuations in User Numbers, Only Looking Normal During Holidays?
Opinion's user base itself is another red flag. Within 17 weeks, weekly active users surged from 11,124 to 67,913, then fell back to 18,098, a fluctuation amplitude of 6 times. The most significant fluctuation occurred between February 2nd and February 9th: within one week, the number of users dropped from 67,804 to 18,098, a single-week萎缩 (contraction) of 73%. During the same period, Polymarket's user base fluctuated within a range of only 1.5 times over 17 weeks and showed a stable upward trend.
Particularly notable is a period where the data异常回归正常 (abnormally returned to normal): the holiday interval from December 22nd to January 4th. During these two weeks, Opinion's number of trades suddenly surged from the usual 300,000 to 600,000 trades to 1.4 million to 1.8 million trades, while the average trade size simultaneously dropped to $1,000 to $1,163. This was the only time Opinion's data profile looked like a normal prediction market. However, once the holidays were over, the data immediately反弹 (bounced back) to its previous abnormal state.
These anomalies are not without trace. Opinion's points system明确规定 (explicitly states) that trade size is one of the weighting factors for points, a design that directly encourages users to place larger bets. Coupled with the airdrop expectation before TGE and a KYC-free environment, this created a strong incentive for wash trading.
It is worth referencing that Columbia University researchers estimated in November 2025 that approximately 25% of Polymarket's total trading volume over three years came from wash trading, with sports markets as high as 45%, and Polymarket doesn't even have a points system or explicitly rewards based on trade size. Opinion, building on these existing conditions with a points mechanism that rewards large trades, has a significant wash trading incentive.
Extremely Low Airdrop Ratio, Criticized by Users as Being "Ripped Off"
Furthermore, the airdrop allocation announced yesterday sparked strong backlash from the community. Although the official claimed the total airdrop would be 23.5%, and the initial circulating supply at TGE is expected to be 19.85%, only 3.5% (approximately 8.2 million tokens) will be unlocked at launch, with the remaining portion being linearly released over 7 months. The rest is either老鼠仓 (rat trading warehousing) or上供 (offered up) to Binance.
Compared to Opinion's high fees and the门槛 (threshold) of its complex points system, many users who engaged in months of real trading and incurred high costs received extremely meager allocations, leading many深度参与者 (deep participants) to exclaim that they were essentially ripped off by the official team.
The impact of this ratio goes far beyond community sentiment backlash. It has also接连影响 (successively affected) prediction market projects within the Binance ecosystem. Users who are still观望 (observing) PredictFun and Probable can't help but question whether there is any real return expectation left for Binance's生态 (ecosystem) prediction markets?
Opinion's抢先 (first-mover) listing was supposed to背书 (endorse) later players in this sector. But the 3% airdrop ratio and data doubts are highly likely to make potential users of PredictFun and Probable望而却步 (hesitate to proceed).
Finally, it is undeniable that Opinion has genuine innovation at the technical level. Traditional prediction markets require manual review to open a market and manually set settlement conditions. Opinion uses an AI oracle to make this process almost instantaneous. This means it can cover far more scenarios than its competitors, not just elections and sports events. Changes in a DeFi protocol's TVL, the listing time of a token—all can become a liquid prediction market within minutes.
Additionally, independent researcher Haotian also mentioned that even if a significant portion of Opinion's trading volume必然 (inevitably) comes from wash trading for OPN points, "but撇开 (setting aside) wash trading, if institutions and arbitrageurs account for a relatively large proportion in a platform's user profile, it actually验证 (validates) the承载能力 (load-bearing capacity) of its underlying infrastructure from the side."
"Enabling large funds to conduct precise hedging in prediction markets like derivatives, not just gambling at the retail level, is the goal that prediction market 2.0 should strive for in the future."
It can be said that after TGE, Opinion will face a残酷的 (brutal) retention test: after the points rewards are removed, how many people will be willing to stay and truly use the platform? Can macro prediction markets attract a sufficient scale of institutional users to support organic trading volume?
