Ayer compramos a buenos precios de rebaja ✅️️️️️️️ Habrá que ver si se mantienen las subidas de hoy, aún es temprano. Más allá de eso creo que hemos comprado con descuento, hay mucho pánico en el mercado en general.
❤99👍81🔥20🎉7😁5🤯1

Channel
@Enriquemorisoficial
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
66,055subscribers
+139 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001493826948 |
|---|---|
| Type | Channel |
| Username | @Enriquemorisoficial |
| Description | En este canal comparto todo tipo de información actualizada sobre los mercados y empresas cotizadas. |
| Created | Between 1 August 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/Enriquemorisoficial |
Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 35% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 16:37 | 66,055 | -12 |
| 5 Nov 2026, 19:47 | 66,067 | -11 |
| 4 Nov 2026, 16:34 | 66,078 | -29 |
| 3 Nov 2026, 17:56 | 66,107 | -16 |
| 2 Nov 2026, 17:31 | 66,123 | -23 |
| 1 Nov 2026, 17:06 | 66,146 | +1 |
| 31 Oct 2026, 20:38 | 66,145 | +11 |
| 30 Oct 2026, 22:54 | 66,134 | +70 |
| 30 Oct 2026, 01:08 | 66,064 | -31 |
| 29 Oct 2026, 01:49 | 66,095 | -8 |
| 27 Oct 2026, 23:16 | 66,103 | -24 |
| 26 Oct 2026, 21:39 | 66,127 | -11 |
| 25 Oct 2026, 19:05 | 66,138 | -1 |
| 24 Oct 2026, 15:56 | 66,139 | -16 |
| 23 Oct 2026, 19:29 | 66,155 | -22 |
| 22 Oct 2026, 20:40 | 66,177 | -28 |
| 21 Oct 2026, 14:28 | 66,205 | -39 |
| 20 Oct 2026, 11:20 | 66,244 | -23 |
| 19 Oct 2026, 13:00 | 66,267 | -2 |
| 18 Oct 2026, 13:00 | 66,269 | first reading |
134 posts held, back to 23 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 187 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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 134 (23 July 2026 – 6 November 2026) |
| Views total | 481,140 |
| Reactions total | 5,852 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 09:22 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.
Lifetime counters from Telegram’s own channel header, read 7 November 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.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
27,180 reactions across 134 posts, in 12 distinct kinds. The most used accounts for 52.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 14,130 | 52.0% | |
| ❤ | 6,941 | 25.5% | |
| 🔥 | 1,638 | 6.03% | |
| 🤔 | 1,478 | 5.44% | |
| 👏 | 1,004 | 3.69% | |
| 😱 | 914 | 3.36% | |
| 🤯 | 664 | 2.44% | |
| 🙏 | 149 | 0.548% | |
| 😁 | 133 | 0.489% | |
| 🎉 | 69 | 0.254% | |
| 🥰 | 36 | 0.132% | |
| 🤩 | 24 | 0.088% |
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 134 of the 134 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 27,180 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 134 most recent posts we hold, published 23 July 2026 to 6 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.
Telegram’s own ‘edited’ marker: 5 of 34 posts held from the last 30 days (14.7%) 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).
Ayer compramos a buenos precios de rebaja ✅️️️️️️️ Habrá que ver si se mantienen las subidas de hoy, aún es temprano. Más allá de eso creo que hemos comprado con descuento, hay mucho pánico en el mercado en general.
❤99👍81🔥20🎉7😁5🤯1
Brian Chesky, CEO de Airbnb, ha creado paralelamente un laboratorio de inteligencia artificial en el que también participa el CTO de Airbnb. La propia compañía vendió propiedad intelectual a esta nueva empresa por 7,1 millones de dólares y se reservó derechos para invertir en futuras rondas y licenciar parte de su tecnología, una operación que ha generado dudas sobre posibles conflictos de interés y sobre cuánto tiem…
👍73❤25🤔13
He hecho algunas compras más en mi cartera de largo plazo aprovechando el día de caídas.
❤151👍101🔥25🤔10😱10
La victoria demócrata ha sido recibida positivamente por las grandes tecnológicas como Amazon, Microsoft, Apple y Alphabet. El mercado interpreta que posibles restricciones al desarrollo de nuevos centros de datos de IA perjudicarían más a empresas jóvenes como CoreWeave o Nebius, mientras que los grandes proveedores cloud, que ya tienen mucha infraestructura desplegada, saldrían relativamente beneficiados. Además, …
👍101❤34🤔15
El mercado tecnológico estadounidense está viviendo una fuerte ola de fusiones y adquisiciones favorecida por un entorno antimonopolio más relajado bajo la Administración Trump. Las empresas saben que tienen una ventana de aproximadamente dos años antes de que el clima regulatorio pueda cambiar, y están aprovechándola: en lo que va de año se han anunciado operaciones por unos 2,6 billones de dólares, un 66% más que e…
🤔52❤37👍30👏14
La bolsa tecnológica llega tocada tras las fuertes caídas de la semana pasada, especialmente por el temor a que las grandes compañías estén gastando demasiado en inteligencia artificial. Google cayó con fuerza y el Nasdaq cerró su peor mes desde marzo de 2025, aunque los principales índices todavía siguen positivos en el año. Palantir presenta resultados con expectativas muy elevadas: prevé crecer un 83% interanual …
👍96❤55🤯10🤔6👏2
Aprovecho que es domingo para compartir este mini-curso de iniciación al trading que grabé hace unas semanas: Guía para hacer trading desde cero si eres principiante 👇 https://linktw.in/YEskuD
👍27❤12🤔2🙏1
En este tipo de escenarios donde hay pánico generalizado, es cuando hay que empezar a abrir posiciones de largo plazo a buenos precios.
❤138👍84🔥10🙏3👏1🤯1
🗣️️️️️️ Posiciones actuales en mi cartera de largo plazo, que he ido avisando aquí: • ORCL -> La mantenemos con una buena rentabilidad • INTC • GOOGL • RDDT • AMZN
👍164❤74🔥18🤔11🙏7👏2🤯2😱2
Acabo de abrir una pequeña posición en $AMZN en mi cuenta de largo plazo.
❤70👍43🤔6🙏5👏1
DoorDash ha acordado comprar Instacart por unos 17.000 millones de dólares, una valoración muy inferior a los más de 40.000 millones que llegó a contemplar pagar en 2021. La espera le ha salido bien a Tony Xu: Instacart ya no tiene las valoraciones de la pandemia, pero sigue creciendo, con ventas +17% en el último trimestre y más de 300 millones de dólares de generación de caja. La operación llega además en un momen…
👍69❤21🤔13👏1
He comprado $RDDT y $INTC en mi cartera de largo plazo. Ojo, son posiciones pequeñas para ir cargando más si siguen cayendo con fuerza. Alto riesgo.
❤100👍76🤔10👏6😱4🤯2🙏2😁1
Showing the 12 most recent of 134 posts we hold for @Enriquemorisoficial. 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.
@Enriquemorisoficial 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.
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 21 August 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 4 seed channels' Telegram-generated recommendation lists in total. 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“ENRIQUE MORIS - Noticias” (@Enriquemorisoficial), 66,055 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Enriquemorisoficial.
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.