Your friends now finally bought BTC ? Ask them about their entry price
π₯44β€13π³9π9

Channel
@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 31,623β100,000.
| Telegram ID | -1001695233751 |
|---|---|
| Type | Channel |
| Username | @vipdrprofit |
| Description | Elite trader, master of x100 π₯ I trade psychology, BTC and Stocks. Educational content only. No financial advice! |
| Created | Between 1 December 2021 and 30 April 2023 β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/vipdrprofit |
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 channelβs own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a modelβs 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.
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.
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 Telegramβs forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @vipdrprofit/5204 Β· this entry4 Aug 2026, 17:31 UTC | @drprofit_trade/114284 Aug 2026, 17:31 UTC | 1.00 | under a minute |
| @drprofit_trade/114345 Aug 2026, 02:20 UTC | @vipdrprofit/5208 Β· this entry5 Aug 2026, 02:20 UTC | 1.00 | under a minute |
| @drprofit_trade/114365 Aug 2026, 02:49 UTC | @vipdrprofit/5210 Β· this entry5 Aug 2026, 02:49 UTC | 1.00 | under a minute |
| @vipdrprofit/5211 Β· this entry5 Aug 2026, 12:28 UTC | @drprofit_trade/114375 Aug 2026, 12:28 UTC | 1.00 | under a minute |
| @drprofit_trade/114405 Aug 2026, 19:00 UTC | @vipdrprofit/5213 Β· this entry5 Aug 2026, 19:01 UTC | 1.00 | under a minute |
| @drprofit_trade/114425 Aug 2026, 19:19 UTC | @vipdrprofit/5215 Β· this entry5 Aug 2026, 19:19 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @drprofit_trade | 8 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @drprofit_trade (5β3) |
| @drprofitfreebycf | 8 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (5β3) |
| @drprofitsignal | 7 (7/7 hand-verifiable sample passed) | 0.98 | under a minute | @drprofitsignal (7β0) |
| @DoctorProfit_Crypto | 6 (6/6 hand-verifiable sample passed) | 0.98 | under a minute | @DoctorProfit_Crypto (4β2) |
| @DrprofitVip_real | 5 (5/5 hand-verifiable sample passed) | 1.00 | under a minute | @DrprofitVip_real (3β2) |
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.
βPublished firstβ 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 detectorβs 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.
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.
This channelβs 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 channelβs 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 02:37 | 43,862 | -85 |
| 15 Sept 2026, 23:18 | 43,947 | -66 |
| 14 Sept 2026, 07:00 | 44,013 | -66 |
| 12 Sept 2026, 12:56 | 44,079 | -93 |
| 10 Sept 2026, 08:40 | 44,172 | -117 |
| 7 Sept 2026, 01:56 | 44,289 | -96 |
| 4 Sept 2026, 09:36 | 44,385 | -67 |
| 2 Sept 2026, 20:45 | 44,452 | -37 |
| 1 Sept 2026, 20:35 | 44,489 | -48 |
| 31 Aug 2026, 18:58 | 44,537 | -40 |
| 30 Aug 2026, 22:25 | 44,577 | -29 |
| 30 Aug 2026, 01:34 | 44,606 | -26 |
| 29 Aug 2026, 05:05 | 44,632 | -32 |
| 28 Aug 2026, 04:17 | 44,664 | -40 |
| 27 Aug 2026, 05:47 | 44,704 | -38 |
| 26 Aug 2026, 08:07 | 44,742 | -45 |
| 25 Aug 2026, 09:27 | 44,787 | +127 |
| 24 Aug 2026, 10:47 | 44,660 | -59 |
| 22 Aug 2026, 17:55 | 44,719 | -47 |
| 21 Aug 2026, 10:17 | 44,766 | first reading |
253 posts held, back to 3 August 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 90 pages of Telegramβs 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) Γ· views β note the denominator is views, not subscribers. Telegramβs 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 Β· latest post in window 22 September 2026 |
|---|---|
| Posts held | 253 (3 August 2026 β 22 September 2026) |
| Views total | 424,840 |
| Reactions total | 7,799 |
| Forwards / comments | not exposed by the public surface β not measured, not estimated |
| Readings taken | 22 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 βcorrectingβ 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.
Lifetime counters from Telegramβs 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 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 β142,000 means somewhere between 141,500 and 142,499.
13,598 reactions across 253 posts, in 4 distinct kinds. The most used accounts for 45.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 6,244 | 45.9% | |
| π₯ | 3,395 | 25.0% | |
| π | 2,667 | 19.6% | |
| π³ | 1,292 | 9.50% |
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 π 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 Telegramβs 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 βa reaction total printed elsewhere on the pageβ.
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.
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 Telegramβs short form and carry the same three-significant-figure rounding as everything else on this page.
Your friends now finally bought BTC ? Ask them about their entry price
π₯44β€13π³9π9
Increased my shorts to $13M USD
π₯64π³23π15β€14
Good morning How is your X sentiment ? Bullish or Bearish! What I see, 99% are bullish.
π₯46π22β€15π³8
Unfortunately the market needs to clean a bit..
π38β€22π³5π₯3
$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-β¦
π₯53β€27π20π³5
βΌοΈπ¨βΌοΈπ¨βΌοΈπ¨βΌοΈπ¨
π15π³4π₯4
79k first target π―
β€47π³14π₯11
Sticker, posted without a caption
β€12π³4π₯2
Exit when the herds enter.
β€39π10π³8π₯1
The market is not forgiving
β€34π₯8π³4
Unfortunately no one is ready for whatβs coming
π₯22π³5
Iβm 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 Iβm expecting RED now)
π₯32β€22π8π³3
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 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 β1,200,000 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.
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 todayβs namer to yesterdayβs 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 βNamed by N registered channelsβ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
βππ«.ππ«π¨ππ’π - π½π°π· ποΈ(NEW)β (@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.