Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 87% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
32 measurements spanning 43 days, net +2,170. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,868–14,306 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 16:19
13,521
-119
17 Sept 2026, 07:39
13,640
-85
15 Sept 2026, 09:21
13,725
-60
13 Sept 2026, 17:40
13,785
-69
12 Sept 2026, 02:16
13,854
-55
9 Sept 2026, 20:15
13,909
+1,975
6 Sept 2026, 09:19
11,934
-54
4 Sept 2026, 00:39
11,988
-27
2 Sept 2026, 18:06
12,015
-667
1 Sept 2026, 15:37
12,682
-44
31 Aug 2026, 13:26
12,726
-23
30 Aug 2026, 13:28
12,749
-30
29 Aug 2026, 16:37
12,779
-17
28 Aug 2026, 17:54
12,796
-27
27 Aug 2026, 19:34
12,823
-9
26 Aug 2026, 17:55
12,832
-7
25 Aug 2026, 16:57
12,839
-15
24 Aug 2026, 18:07
12,854
-100
23 Aug 2026, 05:17
12,954
-246
21 Aug 2026, 19:03
13,200
first reading
Engagement
87 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.6%
avg views ÷ 13,521 subscribers
Avg views / post
1,570
28 posts measured
Reaction rate
2.27%
reactions ÷ views · ER floor
Posts in window
28
of 87 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 1 September 2026
Posts held
87 (5 August 2026 – 1 September 2026)
Views total
43,881
Reactions total
994
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:14 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
3m 12s
Average length
1m 36s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
3,311 reactions across 84 posts, in 16 distinct kinds. The most used accounts for 15.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
516
15.6%
🔥
414
12.5%
👍
412
12.4%
🎉
352
10.6%
🥰
339
10.2%
🤩
327
9.88%
❤🔥
316
9.54%
😍
293
8.85%
💯
239
7.22%
😁
70
2.11%
🤣
13
0.393%
🙏
9
0.272%
🤡
6
0.181%
🤯
3
0.091%
🕊
1
0.03%
😢
1
0.03%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 85 of the 87 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 3,311 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 87 most recent posts we hold, published 5 August 2026 to 1 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 87 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @phuocbaucommunity. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 87 most recent posts we hold for this entry, published 5 August 2026 to 1 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🔥 Saylor lại mua thêm $370M BTC
• Strategy vừa bán $602.8M cổ phiếu MSTR và dùng khoảng $369.7M để mua thêm Bitcoin, đồng thời chi $151.8M mua lại cổ phiếu STRC.
• Sau giao dịch, Strategy vẫn còn khoảng $5.1B để chi trả cổ tức STRC và $1.6B tiền mặt có thể tiếp tục dùng để mua BTC.
🔔🔔🔔 CẬP NHẬT CÁC SỰ KIỆN KINH TẾ ĐÁNG CHÚ Ý TRONG TUẦN (30/08 - 05/09) 🇺🇸🔔
⭐️⭐️⭐️⭐️ THỨ BA (01/09)
🔴 US ISM Manufacturing PMI:
Dự báo 55.2, thấp hơn mức 55.6 trước đó.
⭐️⭐️⭐️ THỨ TƯ (02/09)
🟠 US ADP Employment:
Dự báo 48K, tăng nhẹ từ 44K. Đây là dữ liệu việc làm tư nhân trước khi Mỹ công bố Non-Farm Payrolls.
⭐️⭐️⭐️⭐️ THỨ NĂM (03/09)
🔴 US ISM Services PMI:
Dự báo 54.2, gần như đi ngang so với 54.1 tr…
Từ hôm nay, Nghị định xử phạt tài sản mã hóa có hiệu lực có hiệu lực, giao dịch crypto thay đổi gì?
⁉️Sau 1/9 nhà đầu tư cá nhân có bị phạt ngay đến 100 triệu đồng nếu vẫn giao dịch crypto?
KHÔNG. Nghị định 284/2026/NĐ-CP có hiệu lực từ 1/9/2026 chỉ thiết lập khung xử phạt. NĐ284 vẫn phải chiếu theo NQ05 -> NQ05 cho thời gian chuyển tiếp 6 THÁNG kể từ khi sàn nội địa đầu tiên được cấp phép.
Hiện mốc này chưa bắt đầu…
🔥 Revenue sharing đang trở thành trend mới của crypto?
• Số protocol chia doanh thu trực tiếp cho token holder đã tăng từ chỉ 10 dự án cách đây 5 năm lên hơn 231 dự án hiện nay.
• Đây là một thay đổi đáng chú ý: thay vì token chỉ mang tính governance hoặc speculative asset, ngày càng nhiều dự án đang tìm cách gắn token với doanh thu thực tế của protocol.
👍👍👍Đây có thể là một trong những narrative đáng chú ý của De…
🚨 BlackRock gom hơn $1B #ETH trong 9 ngày liên tiếp
• ETF ETHA của BlackRock đã hút khoảng $1,02B dòng tiền trong 9 phiên liên tiếp, không có ngày net outflow nào.
• Giá mua trung bình ước tính khoảng $3.060/ETH. Đây là dấu hiệu đáng chú ý khi dòng tiền tổ chức đang liên tục tăng exposure vào ETH.
🔥 Crypto Việt Nam có thêm “mã thuế” riêng - Nhà nước bắt đầu tách dòng tiền crypto khỏi hệ thống thuế chung
• Bộ Tài chính vừa bổ sung 4 tiểu mục riêng để hạch toán thuế phát sinh từ giao dịch, chuyển nhượng và kinh doanh tài sản mã hóa. Quy định có hiệu lực từ 21/8/2026.
📌 4 mã mới gồm:
1016: Thuế TNCN từ giao dịch, chuyển nhượng, kinh doanh tài sản mã hóa.
- 1059: Thuế TNDN từ giao dịch, chuyển nhượng, kinh doan…
🔥 Thêm một perpdex đóng cửa — cuộc đào thải đang tăng tốc
• HyENA, perpdex xây trên HIP-3 và dùng USDe làm tài sản thế chấp, vừa thông báo dừng hoạt động sau hơn $4B volume và hơn 12.000 trader
• Nguyên nhân chính: Hyperliquid ngày càng nghiêng về USDC, khiến lợi thế của mô hình USDe-margin trên HyENA bị thu hẹp đáng kể.
Lời khuyên cho mấy khứa vô Phước Báu lùa gà mem:
1. Mem PB đa phần OG, già còn hơn tuổi đời trade coin mấy đứa bây, lùa có khi bị lùa lại thì mất vui
2. Mem PB còn trụ đến giờ mà còn tiền toàn cáo thành tinh đ còn là con người đâu
3. Đến 1/9 là áp dụng luật rồi, lùa đi để anh em report bay vài trăm củ cho tày
4. Quân tử không làm cứ chui vô mấy group kéo mem làm gì hèn con người ra, mẹ
🔥 Recap Jackson Hole: Walsh phát tín hiệu tăng lãi suất, chính sách Fed tập trung vào lạm phát
• Kinh tế Mỹ vẫn khá khỏe: đầu tư doanh nghiệp tăng, thị trường lao động vẫn ổn định, chưa xuất hiện dấu hiệu suy yếu đủ lớn để Fed phải vội nới lỏng.
• Lạm phát đã hạ nhiệt nhưng chưa đủ thuyết phục. Warsh nhấn mạnh Fed cần thấy lạm phát cơ bản giảm rõ ràng và đủ nhanh về mục tiêu 2%.
• Điều kiện tài chính chưa thực sự …
🔴 Kevin Warsh cảnh báo Fed vẫn còn việc với lạm phát.
• Lạm phát > 2%, cần giảm rõ rệt trước khi nới lỏng.
• Lãi suất vẫn là công cụ chính; điều kiện tài chính chưa đủ thắt chặt.
👍👍👍 Tín hiệu hawkish: Có khả năng Fed giữ hoặc tăng lãi suất thay vì giảm.
⛔️ Ledger dính lỗ hổng có thể ký nhầm giao dịch?
Founder OneKey cho biết team Anzen đã tái hiện trong lab một lỗi trên Ledger Ethereum App, trong đó race condition có thể khiến giao dịch hiển thị cho người dùng khác với giao dịch thực tế được ký.
Ledger xác nhận vấn đề liên quan đến Secure SDK và cơ chế xử lý I/O, đã được khắc phục ở cấp app/SDK. Chưa có bằng chứng lỗ hổng bị khai thác ngoài thực tế.
👍 Đây là dạn…
🔥RWA đang lặng lẽ chuyển mình từ narrative sang dòng tiền thật - và phần lớn ae vẫn chưa nhận ra
Cổ phiếu tokenized không còn là câu chuyện "sắp bùng nổ" nữa. Chúng đang thực sự chảy vào DeFi, tạo ra dòng tiền và lợi suất cụ thể:
- Kamino Lend dẫn đầu với $38.1M tiền gửi - đứng đầu về việc dùng tokenized stock làm tài sản thế chấp
- Fluid Jupiter Lend theo sau với $19.5M
- Pendle ghi nhận $13.8M nơi ae có thể tách…
💯7🎉6🤩5👍4❤3
Showing the 12 most recent of 87 posts we hold for @phuocbaucommunity. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 87 most recent posts we hold, published 5 August 2026 to 1 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Phước Báu Community” (@phuocbaucommunity), 13,521 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/phuocbaucommunity.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.