美股還在殺,昨天的樂觀情緒都沒了

Channel
Benson's Trading Desk
@BensonTradingDesk
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
16,754subscribers
-410 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001149455236 |
|---|---|
| Type | Channel |
| Username | @BensonTradingDesk |
| Description | founder of coinkarma.co |
| Created | Between 1 March 2016 and 31 October 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 56 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/BensonTradingDesk |
Topic
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 86% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 14:56 | 16,754 | -2 |
| 4 Nov 2026, 14:16 | 16,756 | -8 |
| 3 Nov 2026, 13:55 | 16,764 | +1 |
| 1 Nov 2026, 19:38 | 16,763 | -6 |
| 31 Oct 2026, 18:31 | 16,769 | -5 |
| 29 Oct 2026, 18:58 | 16,774 | -11 |
| 28 Oct 2026, 17:54 | 16,785 | -5 |
| 27 Oct 2026, 16:04 | 16,790 | -5 |
| 26 Oct 2026, 14:04 | 16,795 | -8 |
| 25 Oct 2026, 16:36 | 16,803 | -5 |
| 24 Oct 2026, 19:07 | 16,808 | -4 |
| 23 Oct 2026, 16:47 | 16,812 | -7 |
| 22 Oct 2026, 17:35 | 16,819 | -6 |
| 20 Oct 2026, 13:49 | 16,825 | -11 |
| 19 Oct 2026, 15:35 | 16,836 | -6 |
| 18 Oct 2026, 12:44 | 16,842 | -5 |
| 17 Oct 2026, 10:05 | 16,847 | -2 |
| 16 Oct 2026, 10:38 | 16,849 | -1 |
| 15 Oct 2026, 12:15 | 16,850 | -1 |
| 14 Oct 2026, 15:06 | 16,851 | first reading |
Engagement
45 posts held, back to 14 February 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 60 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 26.5%
- avg views ÷ 16,754 subscribers
- Avg views / post
- 4,450
- 26 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 26
- of 45 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.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 45 (14 February 2026 – 5 November 2026) |
| Views total | 115,600 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 16:27 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
- Photos
- ≈1,220
- Videos
- ≈1
- Links
- ≈604
Lifetime counters from Telegram’s own channel header, read 5 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 26 posts held from the last 30 days (3.85%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
https://x.com/ericlu_86/status/2118007025221402914 https://x.com/coinkarma_/status/2118338479536951687 這波下殺之前 CK 官方分析師 Eric 跟官推都有預告 想趨吉避凶就追蹤起來吧
又畫門了,這幾次只要幣安出現賣壓牆就會畫門
Photo, posted without a caption
短線超漲賣壓沉重,槓桿部位先下車了
沒想到民主黨勝選會是大奇蹟日
買完了
Photo, posted without a caption
知道大家現在很恐慌,我換個角度來看這件事。 幣安這次被盜,官方目前確認凍結的資產約 25 億美元,大概佔被盜總額的一半。剩下的大頭,主要就是 BTC 和 ETH。 先說 BTC。 被拿走的大約十幾億美元,但要真正變成拋壓並不容易。 比特幣沒有像 ETH 上 Tornado Cash 那樣流動性夠深的大型混幣器。這些地址也會被各大交易所和鏈上分析公司標記起來,要轉移或變現,難度比 ETH 高得多。 回頭看過去的大規模被盜案,2016 年 Bitfinex 被盜的比特幣,一躺就是好幾年。今年 7 月冷錢包廠商 Coldcard 被盜的約 1,800 枚 BTC,截至九月初仍有九成沒動過,駭客只透過跨鏈橋零星換出一小部分。 這次幣安被盜是它的十倍規模,十幾億美元的 BTC,光是拆地址加混幣就是以年計算的工程,後面再走折價 OTC,整個流程至少好幾年。 所以被盜的 BTC 表面上是利空,實際上是變相鎖倉。另一邊,如果幣安動用…
被盜55億 其中25億穩定幣被凍結了 還有近20億的ETH, BTC 這個就很難追回來了 應該又是北韓幹的
雖說有預期會過山車,但沒想到是這種形式啊
Oh fuck 幣安被盜了
Showing the 12 most recent of 45 posts we hold for @BensonTradingDesk. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“Benson's Trading Desk” (@BensonTradingDesk), 16,754 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/BensonTradingDesk.
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.