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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.
Growth
58 measurements spanning 90 days, net -497. 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 10,740–11,387 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
6 Nov 2026, 06:10
10,815
-15
5 Nov 2026, 08:01
10,830
-10
4 Nov 2026, 08:58
10,840
-3
3 Nov 2026, 07:56
10,843
-3
2 Nov 2026, 09:57
10,846
-12
1 Nov 2026, 07:29
10,858
-4
31 Oct 2026, 04:18
10,862
-14
30 Oct 2026, 01:38
10,876
-3
29 Oct 2026, 02:59
10,879
-7
28 Oct 2026, 02:07
10,886
-6
26 Oct 2026, 23:09
10,892
-7
25 Oct 2026, 23:46
10,899
-7
24 Oct 2026, 22:57
10,906
-11
24 Oct 2026, 00:01
10,917
-5
23 Oct 2026, 00:19
10,922
+1
22 Oct 2026, 02:28
10,921
-5
20 Oct 2026, 20:18
10,926
-2
19 Oct 2026, 18:55
10,928
-6
18 Oct 2026, 16:16
10,934
-10
17 Oct 2026, 13:29
10,944
first reading
Engagement
39 posts held, back to 16 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.6%
avg views ÷ 10,815 subscribers
Avg views / post
1,250
5 posts measured
Reaction rate
0.498%
reactions ÷ views · ER floor
Posts in window
5
of 39 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 4 of 5 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 1 November 2026
Posts held
39 (16 July 2026 – 1 November 2026)
Views total
6,269
Reactions total
25
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 20:20 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
116 reactions across 25 posts, in 5 distinct kinds. The most used accounts for 37.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
43
37.1%
👍
31
26.7%
🔥
20
17.2%
👏
14
12.1%
🙏
8
6.90%
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 26 of the 39 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 116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 16 July 2026 to 1 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 5 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
TRADE NÃO É DIFÍCIL. É SÓ MATEMÁTICA BÁSICA.
Como pode um trader que acerta 40% ser mais lucrativo do que outro que acerta 70%?
No vídeo de hoje, eu te mostro a matemática por trás dos resultados e por que tantos traders continuam perdendo dinheiro!
Assista aqui: https://youtu.be/BWizWBfiNJ
📊 Quero você acompanhando esse processo comigo, ao vivo e de graça.
Quer entender o que estou vendo no gráfico, qual sinal estou esperando e como decido entrar ou ficar de fora?
Durante o Esquenta da Black Trader, vou liberar gratuitamente as salas que normalmente são pagas, comigo e com o meu time.
📅 De 03 a 09 de novembro, das 09h às 12h, nos dias de pregão.
Quer participar dessa degustação gratuita?
👉 Entra n…
🧠 O que se passa na cabeça de um trader que ganhou mais de US$ 150 MILHÕES na Bolsa?
Conheça a mentalidade de Takashi Kotegawa, o lendário trader japonês, e descubra como ele lidava com o risco, as perdas e as emoções do mercado.
Assista aqui: https://youtu.be/3sZdsO6gx1s
De US$ 10 MIL para mais de US$ 3 MILHÕES operando ações!
Mark Minervini conseguiu esse resultado em apenas 5 anos. E o mais interessante é que ele utiliza um padrão gráfico que você também pode aprender a identificar.
Esse padrão se chama VCP e é uma das peças centrais da sua estratégia.
Acabei de publicar um vídeo mostrando como funciona a metodologia de Minervini, como ele escolhe suas ações e onde procura os me…
Eu treinei uma IA para ODIAR trade. 🤖📉
A missão dela era simples: questionar tudo que eu acredito e tentar provar que trade é uma farsa.
E ela não pegou leve.
Foram algumas das perguntas mais difíceis que já respondi sobre trade — e a conversa chegou em lugares que eu não esperava.
Esse episódio ficou absurdo.
Assista aqui: https://youtu.be/ESNA6gpWyRs
Se você é AMBICIOSO, mas PREGUIÇOSO, eu encontrei uma estratégia que parece ter sido feita pra você rs
São apenas 4 regras.
Mesmo assim, nos meus testes ela chegou a 73% de acerto no Bitcoin e apresentou resultados impressionantes em outros mercados.
No vídeo novo eu te mostro a estratégia completa, os indicadores e exatamente quando comprar e vender.
👉 Assista aqui: https://youtu.be/IH5TuzAvFgk
Você pode ter uma estratégia lucrativa e mesmo assim não conseguir ganhar dinheiro.
Porque entre saber o que fazer e conseguir executar existe um fator que muita gente ignora: a sua mente.
No novo episódio do Money Talks, conversei com uma psicóloga sobre disciplina, medo, ganância, stops e a mentalidade necessária para se tornar um trader consistente.
🎙️ Assista ao episódio completo: https://youtu.be/0qTiYINpcCE
Bom dia, trader!
O Bitcoin voltou a passar dos US$ 80 mil depois de meses andando de lado. 👀
Mas, mais do que o número, o que chama atenção é o cenário: entrada institucional voltando, dólar enfraquecendo e o mercado ganhando força de novo.
Agora, isso significa que começou um novo ciclo de alta? Ainda é cedo pra cravar. É preciso acompanhar o gráfico e ver se o movimento vai ter continuidade.
Showing the 12 most recent of 39 posts we hold for @FabricioLorenz. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Se tu ganhasse 1 milhão de reais hoje, como você utilizaria esse dinheiro?
Investimento39%
Investir + operar60%
Imóveis13%
Pequenos luxos (carros, experiências...)4%
The shares total 116%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 39 most recent posts we hold, published 16 July 2026 to 1 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Lorenz - Trade e Investimentos” (@FabricioLorenz), 10,815 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/FabricioLorenz.
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.