Channel
@championtradersclub
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
27,649subscribers
-1,099 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001699340506 |
|---|---|
| Type | Channel |
| Username | @championtradersclub |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/championtradersclub |
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 |
|---|---|---|
| 26 Sept 2026, 05:40 | 27,649 | -127 |
| 19 Sept 2026, 09:02 | 27,776 | -41 |
| 16 Sept 2026, 21:41 | 27,817 | -40 |
| 15 Sept 2026, 02:20 | 27,857 | -33 |
| 13 Sept 2026, 08:18 | 27,890 | -36 |
| 11 Sept 2026, 08:38 | 27,926 | -61 |
| 8 Sept 2026, 12:57 | 27,987 | -83 |
| 5 Sept 2026, 06:18 | 28,070 | -41 |
| 3 Sept 2026, 13:38 | 28,111 | -23 |
| 2 Sept 2026, 09:27 | 28,134 | -23 |
| 1 Sept 2026, 11:24 | 28,157 | -24 |
| 31 Aug 2026, 12:17 | 28,181 | -22 |
| 30 Aug 2026, 10:13 | 28,203 | -20 |
| 29 Aug 2026, 08:25 | 28,223 | -24 |
| 28 Aug 2026, 08:43 | 28,247 | -24 |
| 27 Aug 2026, 05:26 | 28,271 | -21 |
| 26 Aug 2026, 08:36 | 28,292 | -15 |
| 25 Aug 2026, 06:58 | 28,307 | -25 |
| 24 Aug 2026, 10:13 | 28,332 | -41 |
| 22 Aug 2026, 20:15 | 28,373 | first reading |
90 posts held, back to 29 July 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 65 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 1 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 September 2026 |
|---|---|
| Posts held | 90 (29 July 2026 – 16 September 2026) |
| Views total | 11,124 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 19:10 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.
19 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 68.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 13 | 68.4% | |
| 👏 | 3 | 15.8% | |
| 🥰 | 2 | 10.5% | |
| 💯 | 1 | 5.26% |
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 13 of the 90 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 90 most recent posts we hold, published 29 July 2026 to 16 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.
#ETH is forming a symmetrical triangle after the sharp volatility, with price currently near $2,399. The range is tightening between the descending resistance and rising support; a breakout above $2,405–2,415 could open the way toward $2,430–2,435, while a breakdown below $2,387–2,380 could lead toward $2,355.
#BTC LONG SETUP
#SOL BEFORE / AFTER
#BTC is consolidating around $77.2K after the sharp move down. The chart suggests a possible liquidity sweep into the $75.2K–$76.1K support zone, followed by a bounce and recovery toward $77.8K–$79K. The bullish setup strengthens if price reclaims $77.8K; a clean break below $75.2K would invalidate the expected upside move.
#TAO LONG SETUP
#TAO is in a pullback after a strong bullish breakout. Price is approaching the 224–231 demand zone, which looks like the key area for a potential long entry. If this zone holds, the expected move is back toward 255–265, with a possible extension toward 276–280. A clean breakdown below 224 would weaken the bullish setup.
#SOL is showing a bearish pullback toward the 97–98 support zone after rejecting the 106–107 area. If this demand zone holds, the expected path is a bounce toward 101–103, followed by a move toward the major 109–110 resistance zone. A clean breakdown below 97 would invalidate the bullish recovery setup.
#SOL is moving inside a descending channel. Price is currently testing the channel’s upper trendline around 104–105; a clean breakout above it could signal bullish continuation toward 106–108. If rejected, the setup favors a pullback toward 103, with stronger support around 101–102.
#OP BEFORE / AFTER
#BTC BEFORE / AFTER
#BTC LONG SETUP
#OP is forming an ascending triangle, with higher lows pressing into the 0.0900 resistance. A clean breakout above 0.0900–0.0905 could trigger a bullish continuation, while rejection may bring a retest of the lower trendline.
Showing the 12 most recent of 90 posts we hold for @championtradersclub. 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.
@championtradersclub edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
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.
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 10 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 40 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“Champion Traders Academy®” (@championtradersclub), 27,649 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/championtradersclub.
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.