While analyzing Bubblemaps ($BMT), I discovered a 'small bug': data discrepancies across platforms, and the truth lies in the details!
Recently researching @Bubblemaps.io ($BMT), unexpectedly stumbled into a 'data maze'—the key indicators reported by different platforms actually don't match, it's like different teachers grading the same paper, and the scores vary quite noticeably!
Take the circulation supply, for example; some websites report about 411 million, while others are stuck between 409 million and 410 million, differing by nearly 2 million; looking at fully diluted valuation (FDV) is even more lively, the low end estimates at 68 million dollars, while the high end is nearing 70 million dollars, with a gap of nearly 2 million. It was later understood that this isn't due to anyone miscalculating, but rather 'different algorithms'—some platforms included tokens from the contract address, while others did not; some data updates in real-time, while others only update every half day, resulting in natural discrepancies.
This situation also serves as a reminder for everyone: when looking at BMT data, don't 'get stuck on one platform'! If you only focus on one number, like just looking at the circulation of a certain site to make a decision, you might misunderstand the market situation. Besides data comparison, fund flow also needs to be analyzed carefully: BMT's 24-hour trading volume is quite stable, fluctuating around 20 million dollars, but looking at the 7-day trading volume seems a bit 'stagnant'—it hasn't really increased, indicating that the money that temporarily heated the market has come and gone, and hasn't become stable long-term funding.
Another interesting discovery: even though $BMT has landed on Bitget, the money is still concentrated in the hands of a few, and there's no obvious sign of distribution. This is quite clear—the chips in the hands of early investors haven't loosened yet, and ordinary users currently have limited opportunities to obtain low-priced chips.
However, it must be said that the previous Rugproof incident has turned into BMT's 'famous battle'—since then, on-chain data from Bubblemaps has suddenly gained popularity, and more and more exchanges and research platforms have started using it. Although there are still some minor discrepancies in data across platforms, it has made on-chain data into visual charts, increasingly gaining credibility, and even using it as 'evidence' is no problem. This also indicates that when trading BMT, just looking at price and trading volume is not enough; one must understand how the money is distributed and how it flows on-chain, otherwise it’s no different from 'blind men touching an elephant.'
So in the short term for $BMT, we need to look at the information such as circulation, trading volume, and fund allocation 'together'. If we only focus on one piece of data to draw conclusions, it's easy to be misled. After all, in Web3, data is the 'mirror to see the truth'; the more complete the information, the lower the chance of falling into pitfalls!@Bubblemaps.io #Bubblemaps $BMT 
