Bought $2.8M worth of $ZIM @DoctorProfit_Crypto
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Channel
@drprofitcryptosignal
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
21,281subscribers
-2,466 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002130597094 |
|---|---|
| Type | Channel |
| Username | @drprofitcryptosignal |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 18 October 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 October 2026 |
| On Telegram | t.me/drprofitcryptosignal |
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 100% 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 |
|---|---|---|
| 18 Oct 2026, 23:29 | 21,281 | -13 |
| 17 Oct 2026, 22:56 | 21,294 | -10 |
| 17 Oct 2026, 02:06 | 21,304 | -3 |
| 16 Oct 2026, 00:57 | 21,307 | -40 |
| 15 Oct 2026, 00:06 | 21,347 | -46 |
| 13 Oct 2026, 17:44 | 21,393 | -34 |
| 9 Oct 2026, 22:58 | 21,427 | -146 |
| 5 Oct 2026, 17:35 | 21,573 | -162 |
| 30 Sept 2026, 04:56 | 21,735 | -696 |
| 18 Sept 2026, 04:35 | 22,431 | -29 |
| 16 Sept 2026, 00:40 | 22,460 | -152 |
| 14 Sept 2026, 06:40 | 22,612 | -130 |
| 12 Sept 2026, 17:00 | 22,742 | -107 |
| 10 Sept 2026, 16:39 | 22,849 | -81 |
| 7 Sept 2026, 14:01 | 22,930 | -147 |
| 4 Sept 2026, 14:37 | 23,077 | -28 |
| 3 Sept 2026, 02:28 | 23,105 | -60 |
| 2 Sept 2026, 01:14 | 23,165 | -49 |
| 1 Sept 2026, 00:36 | 23,214 | -27 |
| 31 Aug 2026, 02:13 | 23,241 | first reading |
275 posts held, back to 10 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 48 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 122 of 138 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 275 (10 August 2026 – 12 October 2026) |
| Views total | 471,285 |
| Reactions total | 1,543 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 17:20 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.
2,619 reactions across 242 posts, in 46 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 983 | 37.5% | |
| 🔥 | 403 | 15.4% | |
| 👍 | 273 | 10.4% | |
| 🤣 | 239 | 9.13% | |
| 🤡 | 193 | 7.37% | |
| 😁 | 167 | 6.38% | |
| 👏 | 92 | 3.51% | |
| 👎 | 64 | 2.44% | |
| 💯 | 21 | 0.802% | |
| 💩 | 19 | 0.725% | |
| 🥰 | 16 | 0.611% | |
| 🐳 | 15 | 0.573% | |
| 🤔 | 12 | 0.458% | |
| 🤷♂ | 11 | 0.42% | |
| 😐 | 9 | 0.344% | |
| 🙏 | 9 | 0.344% | |
| 🫡 | 9 | 0.344% | |
| 🤝 | 8 | 0.305% | |
| 🤪 | 8 | 0.305% | |
| 🦄 | 6 | 0.229% | |
| 26 further kinds | 62 | 2.37% |
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 247 of the 275 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 2,619 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 275 most recent posts we hold, published 10 August 2026 to 12 October 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.
Bought $2.8M worth of $ZIM @DoctorProfit_Crypto
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#ZIM Stock Bought $3M Worth of ZIM. I am buying $ZIM because higher container-shipping rates mean stronger profits, and the company just raised its 2026 adjusted operating-profit forecast by 72%. Also the chart looks ready and its showing a bullish ascending triangle that is ready for a breakout and in a sideway move since 2023 I think that shipping costs will continue to rise, the worse the situation gets, and th…
And now watch for the STOCK that is coming @DoctorProfit_Crypto
Now watch this ETF: I am BUYING (HIGH RISK) #BWET It does not buy shipping-company shares like ZIM or Heidmar. Instead, it holds freight futures: financial contracts linked to future shipping costs. Imagine it buys a contract priced at $30 per tonne of oil transported. If that contract rises to $40, the position gains value. If it falls to $20, it loses value. Those gains or losses feed into the ETF’s value, after…
The Ticker for FINQ ITS ( #AINT) @DoctorProfit_Crypto
Now let me show you something @DoctorProfit_Crypto
Bought #AINT ETF This ETF is the first ever ETF approved by the SEC that is FULLY OPERATED by an AI! This means there is no HUMAN and the sector this ETF belongs to is AI TRADING, and its the first one that is approved by the SEC. The good thing on this ETF is that it longs and shorts, so even in case of an AI crash, this FUND can be very profitable and act as an hedge! I decided to invest $200,000 into this FUND …
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Today I’m planning to invest into an ETF, and also I have one Stock in Mind that looks very interesting for my personal investments. More details at market opening @DoctorProfit_Crypto
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DrProfit Candle @DoctorProfit_Crypto
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No one ready for #BTC: $380,000 #ETH: $13,500 @DoctorProfit_Crypto
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#Bitcoin – What’s Next? The Big Sunday Report: All We Need to Know TA / LCA / Psychological Breakdown: Friends, the correction I warned about has arrived, and once again the direction was right. I bought Bitcoin at $60,000 and called for $88K. Before that move unfolded, I explained the sequence clearly: Break $82,500 and the bear is confirmed over, and the move toward $88,000 will be quick. Some days later Bitcoin…
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Photo, posted without a caption
Showing the 12 most recent of 275 posts we hold for @drprofitcryptosignal. 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.
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.
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 20 September 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 6 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 18 October 2026 — this entry's latest reading, not the date you are reading this.
“Dr. Profit Vip 🚀” (@drprofitcryptosignal), 21,281 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/drprofitcryptosignal.
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.