$ubc(9psiRdn9cXYVps4F1kFuoNjd2EtmqNJXrCPmRppJpump) was launched on 11-26 at 8:07, reaching a peak of 25M on the same day. Then, it dropped to 11.4M at 23:37 that night before starting to rise again, peaking at 113.1M. What factors contributed to this overnight surge of 9 times?
Let's clarify the narrative of ubc:
ubc is designed for autonomous AI to access computing resources fairly, while kinos is the operating system for AI agents. Currently, over 20 AI agents are running, used for writing books, creating music, coding, etc., with 10 AI agents contributing to the book "Terminal Velocity."
The dev of ubc and kinos is NLR@LesterPaints, who is the co-founder and CTO of the French AI company DigitalKin, established 2 years ago and collaborating with Nvidia.
a16z's AI partner@venturetwins tweeted on 11-21 at 2:13 about the book being written by ubc and its GitHub.
The $ubc token is the only token in the ecosystem, created by NLR on Pionex.
Surge Time: 11-26 23:37~11-27 4:26
I. Twitter Data
As usual, we start by analyzing Twitter dissemination, filtering all tweets between 11-26 8:07 and 11-27 4:26 with more than 500 followers. The data collection time was 11-27 11:51:05.
The first tweet was sent by NLR@lesterpaints on 11-26 at 21:44:14, with 15,326 views, discussing the vision through a video. Then at 22:01:24, he tweeted the official Twitter account of $ubc, which garnered 11,898 views. He sent a third tweet at 11-27 02:43:24, detailing the reasons for creating $ubc on Pionex, which received 48,014 views.
NLR's tweets were the best in terms of timing and dissemination, highlighting the need to closely monitor the official and dev's Twitter accounts.
The second tweet was sent by @misterraycrypto on 11-26 at 22:21:47, with 20,842 views, mainly discussing what ubc is doing. His second tweet at 11-27 02:16:35 had 14,267 views, stating that $ubc broke through 30M, along with data showing that users were primarily whales, and that the 24-hour capital inflow ranked first.
The third tweet was sent by @alexmasoncrypto on 11-26 at 22:50:25. He is undertaking a challenge from $1 to $1000, and his private channel called $ubc at 2.3M at 9:29 AM, while his public channel called it at 22M at 20:37 PM.
The fourth tweet was sent by @whalewatchalert on 11-27 at 02:01:28, with 15,212 views, reporting that a whale named $zerebro bought 32.34K of $ubc.
These are the key tweets with good dissemination data. However, it is difficult to establish effective correlations based on their posting times and the price situation on the k-line, so we can only use them as reliable sources for key information.
II. On-Chain Data During the Surge
We divided the surge into 5 segments, as shown in the figure, to analyze which addresses played a key role in the price increase during each segment.
First Segment from 11-26 23:36:00 to 11-27 01:10:00
The first buying address is BH84Uo2YAnyWRUWeWyfFzttRmE51V682xUaD6NrLHM88, which made 15 purchases worth 170,000 USDT. After buying, the holding is Top 16, with a current yield of 300%, and has not sold yet.
The second buying address is GUT2KtprxxgmRERjJhd11y8W6EPD9YDyyU9CaMVTXxKY, which made 12 purchases worth 113,000 USDT. After buying, the holding is Top 25, with a yield of 370%, and has not sold yet.
The third buying address is 5t9Q4ia71sCQmg5TEtiQPerBpez773Poub1vXd4nezRQ, which bought 46,000 USDT during this period. This address also made multiple purchases at 16:00 and sold part at the peak, currently holding Top 23.
Second Segment from 2024-11-27 01:21:00 to 2024-11-27 01:52:00
The first buying address is CLhxXDchUtnwsn62Vp4zP1f2sRFXyZq2VjzvSeFRc93t, which made 14 purchases worth 137,000 USDT. This address had multiple purchases before and after this period, totaling 265,000 USDT, currently holding Top 16, and has not sold yet.
The second buying address is 2PSSWvjNmgyB9fJXhBDtku2uPBBNbyQF8CDimdRKNsK5, which made 8 purchases worth 100,000 USDT. After this period, it made 2 more purchases, currently holding Top 41, and has not sold yet.
Third Segment from 2024-11-27 02:05:00 to 2024-11-27 02:25:00
The first buying address is FjoTCAFMKStE18gBHVJdgNHXLhWvYExDdcek7Hiisyai, which made 8 purchases worth 64,000 USDT. This address also made multiple purchases later, ultimately holding Top 46, and has not sold yet.
Fourth Segment from 2024-11-27 02:47:00 to 2024-11-27 03:12:00
The first buying address is Eqxr8e3tuavYEV5xbomqkCrrkJ69xVaGNm5ZwKc4k2aZ, which made 14 purchases worth 158,000 USDT. This address had multiple purchases before and after this period, currently holding Top 20, and has not sold yet.
The second buying address is EkXQ8cxbf5AoJSvQqmvAfLHDxB1qakiSS9FuTn1cdqBM, which made 27 purchases worth 109,000 USDT. This address also had multiple purchases before and after this period and sold part at the peak, currently holding Top 28.
The third buying address is 7JqxsZ89cAAzLY7qcZTQ1gkPcnurEaw6QaXr6RG31t1u, which made 8 purchases worth 90,000 USDT. This address had early purchases and has now liquidated, making a profit of 117,000 USDT.
Fifth Segment from 2024-11-27 03:31:00 to 2024-11-27 04:23:00
The first buying address is CTRWQ3mn1VSPdZgJdA3GiLCcBo1vA24gPnZGma89mrKn, which made 23 purchases worth 217,000 USDT. After this period, it made multiple purchases, currently holding Top 9, and has not sold yet.
The second buying address is 7JJjwVewyw9PPNw9soxdgj8UJGiB1h7kYSHp1aHsKaQb, which made 8 purchases worth 199,000 USDT. It had purchases and sales before the surge, currently holding Top 29.
The third buying address is 6K2d9LvM3i47P9FxzEQP4hXZwiHA2c2wgfzGTeTvJqj8, which made 4 purchases worth 176,000 USDT, and has not sold yet.
These addresses played a key role in driving the price up during the surge. Of course, some addresses are not listed here. If they have holdings, it is essential to monitor when they will sell, as their holdings are at the forefront, and their selling could significantly impact the price.
III. Whale Holdings Before the Surge
I am quite curious about which whales with diamond hands and large positions had not sold from the opening until the drop to 11-26 23:37. Their operations provide significant reference value for our buying and selling.
The first address is FTg1gqW7vPm4kdU1LPM7JJnizbgPdRDy2PitKw6mY27j, which bought 100 SOL within half an hour of the opening, currently holding Top 1, with a yield of 7091%, and has not sold any tokens.
The second address is 5wagRVSuUBZqDhBVR899emmu7WRWMVAEShdwjyGYJBKi, which bought 30,000 USDT, sold part, and currently holds Top 4, with a yield of 4210%.
The third address is 24JaAVF4xVPcDPNwR4kyR4pcra9uuLJnc2bwATSH5KVh, which bought 10,000 USDT, sold part, and currently holds Top 3, with a yield of 13516%.
The fourth address is BteM1tDqVK1WkySReqR3dGKFA1FZtzjHmrLQrCopwH4D, which bought 40 SOL, currently holding Top 5, with a yield of 11554%, and has not sold any tokens.
The fifth address is 3HtWz7iMnbSJtrG4Jq5A3FcJoEN5gEZz95hkUPXBgNeG, which bought 100,000 USDT, currently holding Top 8, with a yield of 612%, and has not sold any tokens.
From the above analysis, we can draw the following conclusions:
Timely attention to the official and dev's Twitter accounts allows us to obtain the most timely information.
Keep an eye on the addresses that played a key role in the price increase in the second part to guide our selling decisions.
When most of the whale holdings in the third part are still intact, under good fundamentals, they can serve as a reference indicator for buying.
During the analysis of Twitter data, it was found that some tweets compared $radio(B4gipVUHKJ7keVN3MWEYDQCHjkdoXGsbmZoTSJDZpump) with $ubc. Currently, $radio has a market cap of 4.5M, and the k-line pattern is in a downtrend, which can be monitored in the future.
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