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Channel

𝐃𝐫.𝐏𝐫𝐨𝐟𝐒𝐭 - 𝑽𝑰𝑷 πŸŽ–οΈ(NEW)

@vipdrprofit

On this record: Topic Β· Observations Β· Also posting the same content Β· Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Stars Β· Posts Β· Citations Β· Cite this entry

43,862subscribers

-1,248 since we began measuring on 7 August 2026

Risers and fallers across the register Β· movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001695233751
TypeChannel
Username@vipdrprofit
DescriptionElite trader, master of x100 πŸ₯‡ I trade psychology, BTC and Stocks. Educational content only. No financial advice!
CreatedBetween 1 December 2021 and 30 April 2023 β€” estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/vipdrprofit

Topic

Crypto & trading β€” a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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 β€” 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 5 other registered channels. They sit inside a group of 7 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts β€” open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@vipdrprofit/5204 Β· this entry4 Aug 2026, 17:31 UTC@drprofit_trade/114284 Aug 2026, 17:31 UTC1.00under a minute
@drprofit_trade/114345 Aug 2026, 02:20 UTC@vipdrprofit/5208 Β· this entry5 Aug 2026, 02:20 UTC1.00under a minute
@drprofit_trade/114365 Aug 2026, 02:49 UTC@vipdrprofit/5210 Β· this entry5 Aug 2026, 02:49 UTC1.00under a minute
@vipdrprofit/5211 Β· this entry5 Aug 2026, 12:28 UTC@drprofit_trade/114375 Aug 2026, 12:28 UTC1.00under a minute
@drprofit_trade/114405 Aug 2026, 19:00 UTC@vipdrprofit/5213 Β· this entry5 Aug 2026, 19:01 UTC1.00under a minute
@drprofit_trade/114425 Aug 2026, 19:19 UTC@vipdrprofit/5215 Β· this entry5 Aug 2026, 19:19 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@drprofit_trade8 (8/8 hand-verifiable sample passed)1.00under a minute@drprofit_trade (5–3)
@drprofitfreebycf8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (5–3)
@drprofitsignal7 (7/7 hand-verifiable sample passed)0.98under a minute@drprofitsignal (7–0)
@DoctorProfit_Crypto6 (6/6 hand-verifiable sample passed)0.98under a minute@DoctorProfit_Crypto (4–2)
@DrprofitVip_real5 (5/5 hand-verifiable sample passed)1.00under a minute@DrprofitVip_real (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp β€” in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 6 of the 22 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

β€œPublished first” means first in this corpus. We hold 10 comparable posts for this entry, running 4 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 7, the earliest publisher we hold is @drprofitsignal. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy Β· clone_mutual, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through β€” we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 6 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable β€” 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times β€” 60%, no better than a coin flip β€” because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying β€” a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story β€” and this measurement cannot tell those apart. How this is measured.

Growth

43,86245,11044,4867 August 2026 β€” 45,110 subscribers7 August 2026 β€” 45,095 subscribers8 August 2026 β€” 45,042 subscribers9 August 2026 β€” 45,014 subscribers10 August 2026 β€” 44,971 subscribers11 August 2026 β€” 44,912 subscribers12 August 2026 β€” 44,855 subscribers13 August 2026 β€” 44,828 subscribers14 August 2026 β€” 44,783 subscribers16 August 2026 β€” 44,748 subscribers17 August 2026 β€” 44,696 subscribers18 August 2026 β€” 44,638 subscribers19 August 2026 β€” 44,613 subscribers20 August 2026 β€” 44,577 subscribers21 August 2026 β€” 44,766 subscribers22 August 2026 β€” 44,719 subscribers24 August 2026 β€” 44,660 subscribers25 August 2026 β€” 44,787 subscribers26 August 2026 β€” 44,742 subscribers27 August 2026 β€” 44,704 subscribers28 August 2026 β€” 44,664 subscribers29 August 2026 β€” 44,632 subscribers30 August 2026 β€” 44,606 subscribers30 August 2026 β€” 44,577 subscribers31 August 2026 β€” 44,537 subscribers1 September 2026 β€” 44,489 subscribers2 September 2026 β€” 44,452 subscribers4 September 2026 β€” 44,385 subscribers7 September 2026 β€” 44,289 subscribers10 September 2026 β€” 44,172 subscribers12 September 2026 β€” 44,079 subscribers14 September 2026 β€” 44,013 subscribers15 September 2026 β€” 43,947 subscribers18 September 2026 β€” 43,862 subscribers7 August 202618 September 2026
34 measurements spanning 42 days, net -1,248. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β€” snapshots are recorded only when a count changes, so gaps mean β€œno change observed”, never β€œinterpolated”. The vertical axis spans 43,675–45,297 and does not start at zero.
Measurement log β€” every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 02:3743,862-85
15 Sept 2026, 23:1843,947-66
14 Sept 2026, 07:0044,013-66
12 Sept 2026, 12:5644,079-93
10 Sept 2026, 08:4044,172-117
7 Sept 2026, 01:5644,289-96
4 Sept 2026, 09:3644,385-67
2 Sept 2026, 20:4544,452-37
1 Sept 2026, 20:3544,489-48
31 Aug 2026, 18:5844,537-40
30 Aug 2026, 22:2544,577-29
30 Aug 2026, 01:3444,606-26
29 Aug 2026, 05:0544,632-32
28 Aug 2026, 04:1744,664-40
27 Aug 2026, 05:4744,704-38
26 Aug 2026, 08:0744,742-45
25 Aug 2026, 09:2744,787+127
24 Aug 2026, 10:4744,660-59
22 Aug 2026, 17:5544,719-47
21 Aug 2026, 10:1744,766first reading

Engagement

253 posts held, back to 3 August 2026 β€” the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 90 pages of Telegram’s post history, 20 posts per page.

ERR Β· 30 days
7.63%
avg views Γ· 43,862 subscribers
Avg views / post
3,350
127 posts measured
Reaction rate
1.84%
reactions Γ· views Β· ER floor
Posts in window
127
of 253 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) Γ· views β€” 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
WindowRolling 30 days Β· latest post in window 22 September 2026
Posts held253 (3 August 2026 – 22 September 2026)
Views total424,840
Reactions total7,799
Forwards / commentsnot exposed by the public surface β€” not measured, not estimated
Readings taken22 Sept 2026, 21:48 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 β€œcorrecting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form β€” 8.12K, 3.7M β€” 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 β€” read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
β‰ˆ2,730
Links
β‰ˆ163

Lifetime counters from Telegram’s own channel header, read 22 September 2026 β€” not the date at the top of this page, which is when the subscriber count was last read. A count marked β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints these counters in full below 1,000 and to three significant figures above, so β‰ˆ142,000 means somewhere between 141,500 and 142,499.

Reaction mix

13,598 reactions across 253 posts, in 4 distinct kinds. The most used accounts for 45.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❀6,24445.9%
πŸ”₯3,39525.0%
πŸ‘2,66719.6%
🐳1,2929.50%

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 β€” πŸ™ is thanks in one channel and mourning in another β€” 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 β€” 4.34K, 1.2M β€” 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 253 of the 253 sampled posts in this sample. Summed by Telegram’s own count on each post β€” not by adding up the per-emoji breakdown above β€” those same posts carry 13,598 reactions in total: the kind of figure the paragraph above means by β€œa reaction total printed elsewhere on the page”.

Measured over the 253 most recent posts we hold, published 3 August 2026 to 22 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
272
across the posts below
Posts paid on
14
of 253 we hold a reading for Β· 6%
Most on one post
101
single highest reading

A paid reaction is a reader spending Telegram Stars β€” bought with money β€” on a post by @vipdrprofit. 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 253 most recent posts we hold for this entry, published 3 August 2026 to 22 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.

Recent posts

22 Sept 2026, 11:11 UTCβ‰ˆ2,000 views75 reactionsread 22 September 2026

Your friends now finally bought BTC ? Ask them about their entry price

πŸ”₯44❀13🐳9πŸ‘9

22 Sept 2026, 09:02 UTCβ‰ˆ2,360 views116 reactionsread 22 September 2026
Photo

Increased my shorts to $13M USD

πŸ”₯64🐳23πŸ‘15❀14

22 Sept 2026, 08:11 UTCβ‰ˆ2,430 views91 reactionsread 22 September 2026

Good morning How is your X sentiment ? Bullish or Bearish! What I see, 99% are bullish.

πŸ”₯46πŸ‘22❀15🐳8

22 Sept 2026, 01:43 UTCβ‰ˆ2,720 views68 reactionsread 22 September 2026
Video

Unfortunately the market needs to clean a bit..

πŸ‘38❀22🐳5πŸ”₯3

22 Sept 2026, 01:28 UTCβ‰ˆ2,830 views105 reactionsread 22 September 2026

$BTC: Everyone expected the bottom in October. Then Bitcoin rallied from $60K to $87K, and suddenly everyone started FOMO buying, we can agree that today almost everyone who missed out, entered into the market. Now hardly anyone expects an October bottom anymore. Funny how quickly sentiment changes. I opened a short at $86,200, with $79K as my first target. The key is the weekly MA50. Reclaiming it gave us a bull-…

πŸ”₯53❀27πŸ‘20🐳5

22 Sept 2026, 01:15 UTCβ‰ˆ2,540 views23 reactionsread 22 September 2026

β€ΌοΈπŸš¨β€ΌοΈπŸš¨β€ΌοΈπŸš¨β€ΌοΈπŸš¨

πŸ‘15🐳4πŸ”₯4

22 Sept 2026, 01:03 UTCβ‰ˆ2,530 views72 reactionsread 22 September 2026

79k first target 🎯

❀47🐳14πŸ”₯11

22 Sept 2026, 01:00 UTCβ‰ˆ2,520 views18 reactionsread 22 September 2026
Sticker

Sticker, posted without a caption

❀12🐳4πŸ”₯2

22 Sept 2026, 00:58 UTCβ‰ˆ2,520 views58 reactionsread 22 September 2026

Exit when the herds enter.

❀39πŸ‘10🐳8πŸ”₯1

22 Sept 2026, 00:58 UTCβ‰ˆ2,540 views46 reactionsread 22 September 2026

The market is not forgiving

❀34πŸ”₯8🐳4

22 Sept 2026, 00:54 UTCβ‰ˆ2,630 views27 reactionsread 22 September 2026

Unfortunately no one is ready for what’s coming

πŸ”₯22🐳5

22 Sept 2026, 00:54 UTCβ‰ˆ2,690 views65 reactionsread 22 September 2026
Photo

I’m shorting #Bitcoin with big size $86,200 is my entry x2 leverage (Spot Positions, Galactic Three, all remain fully open. The Bear Market is over, yet a correction is due. I will use the short profits to buy more spot. But I’m expecting RED now)

πŸ”₯32❀22πŸ‘8🐳3

Showing the 12 most recent of 253 posts we hold for @vipdrprofit. 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 β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints views in full below 1,000 and to three significant figures above, so β‰ˆ1,200,000 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.

Mentions

Named by 1 registered channel β€” 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 β€” 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 β€” 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 β€” the β€œNamed 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 18 September 2026 β€” this entry's latest reading, not the date you are reading this.

β€œπƒπ«.𝐏𝐫𝐨𝐟𝐒𝐭 - 𝑽𝑰𝑷 πŸŽ–οΈ(NEW)” (@vipdrprofit), 43,862 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/vipdrprofit.

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 Β· 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.