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 18 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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.
Growth
13 measurements spanning 41 days, net +14. 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 1,236–1,264 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 04:15
1,261
+1
13 Sept 2026, 02:20
1,260
+4
8 Sept 2026, 17:59
1,256
+6
7 Sept 2026, 01:22
1,250
no change
3 Sept 2026, 07:47
1,250
-1
30 Aug 2026, 18:45
1,251
+3
28 Aug 2026, 01:44
1,248
+5
24 Aug 2026, 22:38
1,243
+1
21 Aug 2026, 00:26
1,242
+3
17 Aug 2026, 16:17
1,239
-3
14 Aug 2026, 08:28
1,242
-3
11 Aug 2026, 02:13
1,245
-2
7 Aug 2026, 14:48
1,247
first reading
Engagement
12 posts held, back to 12 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
40.1%
avg views ÷ 1,261 subscribers
Avg views / post
505
8 posts measured
Reaction rate
1.90%
reactions ÷ views · ER floor
Posts in window
8
of 12 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. It is computed over the 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 4 September 2026
Posts held
12 (12 August 2026 – 4 September 2026)
Views total
4,041
Reactions total
59
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 01:22 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.
Reaction mix
111 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 30.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
34
30.6%
👍
30
27.0%
🔥
20
18.0%
🙏
10
9.01%
👏
6
5.41%
🥴
5
4.50%
🦄
3
2.70%
🫡
2
1.80%
🆒
1
0.901%
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 10 of the 12 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 111 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 12 August 2026 to 4 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.
1 dato su 3 sopra le aspettative -> mercato del lavoro solido.
Servono dei PPI/CPI flat o a ribasso per togliere al mercato l'idea di una Fed più hawkish.
Warsh vuole che il mercato faccia il suo gioco.
Rimango per una Fed che non alzerà i tassi.
🔚
Una nota: ho delle stime che mi danno come output dei NFP sotto alle aspettative (53k unità), però prendetele con le pinze perchè sto strutturando il modello.
Alle 14:30 usciranno i dati sui NFP, le previsioni ad ora sono per +56k unità generate nel mese di Agosto.
ADP ha mostrato un dato a ribasso rispetto il mese precedente e lo stesso vale per Revelio.
Il tasso di disoccupazione è visto al 4,1%.
Ieri è uscita la stima della Fed di Chicago che stima una disoccupazione al 4,1% (nessun cambiamento rispetto al dato precedente).
Nel mese di Luglio, i NFP si sono attestai …
A breve, ore 16:00, il discorso di Warsh.
Sinceramente, stando a quanto ci ha fatto intendere fin'ora, non mi aspetto che dica nulla di che.
Se seguirà la sua linea espressa fin'ora (nessuna forward guidance):
Market participants are learning to play the ball, not the referee.
Tenderà a ribadire ciò che ha già espresso nei due precedenti FOMC.
Il compito di interpretare i dati e muoversi di conseguenza sarà comp…
C'è un mix di dati, che riassumerei così:
Lato prezzi:
I dati del PCE sono usciti in linea con le aspettative. Ci interessa soprattutto il lato Core, che rimane elevato ma, almeno per ora, non sta accelerando ulteriormente.
Il GDP Price Index sopra le aspettative mostra invece come l'aumento dei prezzi stia continuando a radicarsi nell'economia -> un'inflazione potenzialmente più sticky e, al netto dell'effetto pe…
Per completezza, seppure un po' datati, se a qualcuno possono interessare, questi sono i dati sul Supercore CPI che non avevo avuto modo di pubblicare mentre ero in vacanza.
🔚
Alle 14:30 usciranno i dati sul PCE e sul GDP US del secondo trimestre.
Il GDP essendo un dato vecchio, porta reazione ai mercati in caso di grande miss.
Il lato interessante di questo dato è vedere il deflatore del PIL che misura la variazione dei prezzi di beni e servizi calcolato come Pil nominale (a prezzi correnti/ Pil reale (a prezzi costanti di un anno base) -> in altre parole misura se l'aumento del PIL è der…
Aggiornamento frattale DXY.
Linea gialla vecchio mandato di Trump (+ insediamento Biden fino al top del 2022);
Linea bianca prima parte del vecchio mandato di Trump.
🔚
https://home.treasury.gov/news/press-releases/sb0607
Nel frattempo il tesoro aumenta l'acquisto delle lunghe scadenze per stabilizzare il mercato.
In pratica emette debito a breve per finanziare l'acquisto a lungo...vi ricorda nulla questo?
Ne avevo parlato qua:
https://t.me/PassioneMacro/1927
Chi beneficia, oltre alla liquidità e al mercato, di questa mossa?
L'emittenti di Stable Coin che comprano scadenze a b…
Vedo ora i dati sui CPI, tutto in linea.
Il modello ha stimato correttamente su tutti e 4 i dati la direzionalità rispetto al dato precedente.
Sull'headline CPI YoY il modello è stato più "ottimista" con un 3.32% vs 3.4% uscito (pre arrotondamento 3.364%).
Sul core CPI non c'è stato nessuna sorpresa, dato che si attesta al 2.5% (pre arrotondamento 2.478%).
Supercore CPI YoY al 2.84% in diminuzione rispetto al dat…
❤11👍3🫡2
Showing the 12 most recent of 12 posts we hold for @PassioneMacro. 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.
Appears in Telegram’s recommendations for other channels
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.
Marco Casario Official @the10mintraderofficial · 41,296 Telegram ranks this channel #14 of 77 here — alongside 76 others — read 29 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“PassioneMacro” (@PassioneMacro), 1,261 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/PassioneMacro.
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.