現買現噴準備漲停 提示:我們有專門做一隻短影音
❤10

Channel
@johnstock888
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
49,716subscribers
+2,572 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001738149583 |
|---|---|
| Type | Channel |
| Username | @johnstock888 |
| Description | 朝九晚五的生活本來就不容易,白天忙工作、晚上還要弄小孩,不妨對自己好一點,本頻道幫你挖掘產業的金礦,讓生活可以過得更好一點 (102)金管投顧新字第005號 本公司不保證獲利,投資人應獨立判斷,審慎評估並自負投資風險。 大華國際投資顧問股份有限公司 電話:02-23628000 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/johnstock888 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 07:22 | 49,716 | -13 |
| 16 Sept 2026, 19:19 | 49,729 | +2 |
| 14 Sept 2026, 19:57 | 49,727 | -21 |
| 13 Sept 2026, 03:56 | 49,748 | +6 |
| 11 Sept 2026, 07:35 | 49,742 | +109 |
| 8 Sept 2026, 09:18 | 49,633 | +293 |
| 5 Sept 2026, 00:37 | 49,340 | +101 |
| 3 Sept 2026, 09:04 | 49,239 | +211 |
| 2 Sept 2026, 04:07 | 49,028 | +506 |
| 1 Sept 2026, 07:15 | 48,522 | +1,125 |
| 31 Aug 2026, 09:43 | 47,397 | +42 |
| 30 Aug 2026, 11:05 | 47,355 | -2 |
| 29 Aug 2026, 10:04 | 47,357 | +3 |
| 28 Aug 2026, 10:26 | 47,354 | +85 |
| 27 Aug 2026, 08:19 | 47,269 | +28 |
| 26 Aug 2026, 07:02 | 47,241 | -2 |
| 25 Aug 2026, 05:02 | 47,243 | +2 |
| 24 Aug 2026, 06:08 | 47,241 | +7 |
| 22 Aug 2026, 13:33 | 47,234 | -14 |
| 21 Aug 2026, 00:48 | 47,248 | first reading |
306 posts held, back to 6 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 91 pages of Telegram’s post history, 20 posts per page.
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. It is computed over the 212 of 215 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 September 2026 |
|---|---|
| Posts held | 306 (6 August 2026 – 21 September 2026) |
| Views total | 1,552,450 |
| Reactions total | 7,468 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Sept 2026, 05:12 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.
Lifetime counters from Telegram’s own channel header, read 21 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
10,489 reactions across 300 posts, in 10 distinct kinds. The most used accounts for 73.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7,668 | 73.1% | |
| 🤔 | 1,059 | 10.1% | |
| 👍 | 867 | 8.27% | |
| 🔥 | 385 | 3.67% | |
| 😁 | 241 | 2.30% | |
| 👏 | 124 | 1.18% | |
| 🥰 | 91 | 0.868% | |
| 🙏 | 20 | 0.191% | |
| 🤩 | 20 | 0.191% | |
| 🎉 | 14 | 0.133% |
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 301 of the 306 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 10,489 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 306 most recent posts we hold, published 6 August 2026 to 21 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.
現買現噴準備漲停 提示:我們有專門做一隻短影音
❤10
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👍9❤2
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❤16🥰2
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❤13👍1
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❤24
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❤13
❤️再靠近一點點 就讓你牽手(S.H.E粉集合) https://www.youtube.com/watch?v=jL6D7rqk4SQ
❤19😁4🥰3👏2
林睿閎John ⏲發文時間:2026.9.21 週一 🇺🇸〈美股盤後〉美股四巫日震盪 晶片股力撐 費半升近3% 道瓊周線創半年最大跌幅 https://reurl.cc/YmGDLD 🇨🇳彭博:川習二會挑戰更大 專家預期最大成果可能只是雙方關係本身 https://reurl.cc/5XV3eV 🔥英特爾傳攜友達衝先進封裝 布局 CPO 與高密度算力晶片整合方案 https://reurl.cc/27NaXv 🛜6G 高峰會來了 電信三雄、聯發科、啓碁等台廠秀肌肉 https://reurl.cc/LeV2YK 🔥DRAM產出提升逾5成!長鑫科技 G5技術平台量產 https://reurl.cc/EYWmkk
❤15👍2
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❤20
林睿閎John ⏲️發文時間:2026.09.20 週日 🔺假日想法—是嘉義雞肉飯好吃、還是韓國高麗人蔘好喝?你還有選擇就是高速連接線!㊙️ 從上周二櫃買指數破季線跟半年線後,只花了兩天的時間就馬上站回來,沒意外這波只要守好季線,就跟我們之前講的一樣,大盤會一路震盪到九月中,開始進入下一個主升段,而在主升段來的時候,你已經準備好了嗎? 光通訊我們花了很了很大篇幅講,年中Semianalysis提到CPO延後,但CPO延後不代表光通訊延後!CPO延後代表過渡時期的產品NPO將會延長壽命爆發,而除了傳統台廠的光通訊跟著受惠之外,從零開始切入NPO的【嘉義雞肉飯】才是我們的首選,股價從320塊上禮拜買進一路飆到433塊,一個禮拜賺了35%,如果你還不知道嘉義雞肉飯是誰?趕快私訊來對答案💪 除了光通訊之前【天使的頭頂-光環】大賺40%、【嘉義雞肉飯】獲利35%之外,台股還有一個族群蠢蠢欲動📈 就是【之前Rubin晶片因為散熱設…
❤31
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❤4🤔2
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❤5
Showing the 12 most recent of 306 posts we hold for @johnstock888. 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 30 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“林睿閎證券分析師-John” (@johnstock888), 49,716 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/johnstock888.
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.