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Created
Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
Crypto & trading — 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 — 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.
Views per post sit far above this size band
11,700 average views per post against 13,621 subscribers — an engagement rate of 85.7%. Across the 6,344 registered channels in the same cohort — 10,002–31,609 subscribers, posting mainly in English — the middle half sit between 2.73% and 15.7%, with a median of 7.33%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
25 of 27 published in the window (0 exact, 25 rounded by Telegram)
Views totalled
292,000
Mature posts only
85.8% over 21 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 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 — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
7 measurements spanning 5 days, net -15. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 13,619–13,638 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 02:02
13,621
-1
10 Aug 2026, 23:07
13,622
-4
10 Aug 2026, 01:42
13,626
-1
8 Aug 2026, 23:17
13,627
-4
8 Aug 2026, 00:11
13,631
-5
7 Aug 2026, 02:15
13,636
no change
7 Aug 2026, 02:08
13,636
first reading
Engagement
27 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
85.7%
avg views ÷ 13,621 subscribers
Avg views / post
11,700
25 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
27
of 27 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
27 (29 July 2026 – 11 August 2026)
Views total
292,000
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 11:40 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
≈5,110
Videos
≈132
Links
≈341
Lifetime counters from Telegram’s own channel header, read 12 August 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.
🔥 $INJ LIQUIDITY SWEEP AT THE DEMAND (Revised setup)
STORY TIME 📖
$INJ is still trading inside a Potential Falling Wedge, but the recent move just became interesting.
Price swept the previous low around $4.43 and quickly reclaimed the level of a clean Liquidity Sweep from the demand area.
Now the real question is whether bulls can use this liquidity grab to push price toward the falling-wedge resistance.
CHARTON…
$OP — THE WEDGE IS GETTING INTERESTING
STORY TIME 📖
$OP has been respecting a prolonged downtrend, but price is now pressing against the upper boundary of a Potential Falling Wedge.
After months of lower highs and lower lows, the structure is finally approaching a critical breakout area.
A clean breakout with confirmation could trigger the next expansion toward the marked target.
CHARTONOMICS 📊
🔹 Potential Fall…
$OM — 157 DAYS OF DOWNTREND CONSOLIDATION 👀
STORY TIME 📖
$OM has been bleeding inside a prolonged downtrend, but something interesting is developing.
Price has now spent 157 days consolidating inside a potential Falling Wedge, gradually squeezing toward the apex.
After such a long consolidation, the breakout from this structure could bring some serious expansion.
CHARTONOMICS 📊
Potential Falling Wedge
🔹 157 …
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2. OPEC Monthly Report - Wednesday
3. July CPI Inflation data - Wednesday
4. July PPI Inflation data - Thursday
5. July Retail Sales data - Friday
6. August MI Consumer Sentiment data - Friday
$NEIRO is sitting -- at the edge of a structure that could get VERY interesting. 👀
STORY TIME 📖
I already told you about $NEIRO in my previous update & now the rest is the history it's finally breaking out 😉
The setup is all yours 📈
$NEIRO is sitting inside a Potential Falling Wedge with prices reacting from a strong HTF demand zone.
CHARTONOMICS 📊
Potential Falling Wedge with the Strong Demand is: $0.00005645…
$PENGU The Next Memecoin to Watch 🚀😉
After months of downtrend, $PENGU is compressing inside a Potential Falling Wedge right above a strong HTF support.
A clean breakout of the descending resistance could finally trigger the expansion we've been waiting for. 👀
CHARTONOMICS 📊
• POI: $0.00620 – $0.00680
• SL: $0.00513
🎯 TP-1: $0.00811
🎯 TP-2: $0.00923
🎯 TP-3: $0.01103
Key Support Zone: $0.00572
Confirmation: Fa…
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Showing the 12 most recent of 27 posts we hold for @cryptochartmakers. 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“crypto chart makers” (@cryptochartmakers), 13,621 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cryptochartmakers.
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.