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Created
Between 1 June 2024 and 30 September 2024 — 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-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 86% 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
49 measurements spanning 81 days, net +2,881. 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 43,328–47,073 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)
Subscribers
Change
27 Oct 2026, 10:09
46,641
+12
26 Oct 2026, 09:49
46,629
+7
25 Oct 2026, 10:36
46,622
+20
24 Oct 2026, 07:55
46,602
+53
23 Oct 2026, 07:16
46,549
+1
22 Oct 2026, 10:29
46,548
+54
21 Oct 2026, 05:09
46,494
+54
20 Oct 2026, 01:57
46,440
+40
19 Oct 2026, 01:07
46,400
+34
18 Oct 2026, 00:45
46,366
-8
17 Oct 2026, 00:45
46,374
+28
15 Oct 2026, 23:45
46,346
+71
14 Oct 2026, 21:16
46,275
+37
13 Oct 2026, 15:46
46,238
+148
9 Oct 2026, 16:18
46,090
+134
5 Oct 2026, 10:20
45,956
+125
29 Sept 2026, 09:01
45,831
+357
17 Sept 2026, 20:20
45,474
+60
15 Sept 2026, 16:57
45,414
+63
14 Sept 2026, 01:40
45,351
first reading
Engagement
317 posts held, back to 2 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 162 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.94%
avg views ÷ 46,641 subscribers
Avg views / post
1,840
131 posts measured
Reaction rate
0.323%
reactions ÷ views · ER floor
Posts in window
131
of 317 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 27 October 2026
Posts held
317 (2 August 2026 – 27 October 2026)
Views total
240,986
Reactions total
779
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Oct 2026, 01:39 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
≈2,300
Videos
≈7
Links
≈2,300
Lifetime counters from Telegram’s own channel header, read 28 October 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.
Video runtime
16m 55s
Average length
8m 28s
Measured directly from 2 videos 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.
Reaction mix
2,164 reactions across 317 posts, in 15 distinct kinds. The most used accounts for 32.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
702
32.4%
✍
663
30.6%
👌
403
18.6%
👍
297
13.7%
🔥
36
1.66%
🏆
25
1.16%
⚡
14
0.647%
🎉
7
0.323%
👏
5
0.231%
👀
3
0.139%
🤯
3
0.139%
👨💻
2
0.092%
🤣
2
0.092%
💔
1
0.046%
🤓
1
0.046%
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 317 of the 317 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 2,164 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 317 most recent posts we hold, published 2 August 2026 to 27 October 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.
Evaluación de un metaheurístico poblacional con 10.000 iteraciones y objetivo de convergencia completa: versión modificada de Dingo Optimization Algorithm (DOA-M). Las pruebas previas del DOA base quedaron fuera del umbral por un margen cercano al 20%, lo que motivó ajustes de ecuaciones y criterios.
Cambios clave: en el ataque en grupo se invierte el signo y se suma la mejor solución, y el término sumAttack se norm…
Parafrac y Parafrac V2 construyen un oscilador a partir de la distancia PSAR-precio, pero difieren en la normalización: el original usa rango fractal y V2 usa ATR. Ese cambio altera la lectura de tendencia e impulso, y por tanto el tipo de señales.
El artículo implementa en MT5 un EA con tres lógicas: cruce de cero con confirmación por histogramas (con umbral), detección de cambios de impulso en histogramas (sin umb…
Sistema de rupturas en MT5 diseñado para reducir señales falsas: combina un rango horario de sesión (máximo/mínimo) con confirmación por volatilidad usando ATR. La entrada no depende solo de superar el límite del rango, sino también de cruzar un umbral dinámico, separando impulso real de ruido.
El EA estructura la jornada por sesiones, recalcula automáticamente cada día hábil y mantiene referencias visuales en el gr…
El artículo aborda el fallo típico de los modelos ML en trading: gran rendimiento en backtest y degradación en real por falta de interpretabilidad. Ante cambios de régimen (crisis, inflación, volatilidad extrema), una red neuronal o un LSTM actúan como caja negra y dificultan decidir si parar, ajustar o reentrenar.
La propuesta combina regresiones (Ridge para precio y logística para dirección) con expansión polinómi…
MQL5 puede gestionar SQLite con SQL manual, pero ese enfoque se vuelve repetitivo y frágil al crecer el número de tablas, relaciones y validaciones.
La propuesta pasa por montar un ORM ligero usando el preprocesador: #define como sustitución de texto, macros con parámetros, el operador # para obtener nombres como literales y ## para concatenar identificadores. También se detalla el patrón de “macro que lista” + “mac…
Se publicó RiskPilot Pro como respuesta a un flujo de trabajo ineficiente al alternar entre calculadora de lotaje, gráfico y panel de órdenes. El sistema coloca en el gráfico tres líneas (entrada, stop loss y take profit) y permite ajustarlas por arrastre, con recálculo inmediato del tamaño de la posición al soltar el ratón.
El dimensionamiento se basa en un porcentaje fijo del saldo, manteniendo el riesgo constante…
Spread Monitor es un indicador informativo para MetaTrader 5 orientado a la supervisión en tiempo real del spread, con un panel de texto ligero que no recarga el gráfico.
Muestra el spread actual en puntos junto con los precios Bid y Ask. La señal visual se basa en umbrales configurables con codificación por colores (verde, amarillo, rojo) para identificar rápidamente condiciones normales, medias o elevadas.
Incluy…
El artículo muestra cómo automatizar la detección de patrones de velas en MetaTrader 5 con MQL5, leyendo datos OHLC de velas cerradas en cada tick mediante iTime/iOpen/iHigh/iLow/iClose. El objetivo es convertir reglas de análisis técnico en lógica reproducible, útil para EAs e indicadores.
Para patrones de una vela, se implementa Doji comparando apertura y cierre, y Martillo/Martillo invertido midiendo proporciones…
Spread Monitor es un indicador informativo para MetaTrader 5 orientado al seguimiento del spread en tiempo real. Presenta el valor actual en puntos mediante un panel gráfico compacto.
La visualización incorpora codificación por color y una barra de nivel para facilitar la lectura rápida y la comparación entre condiciones de mercado. El enfoque se centra en ofrecer una referencia inmediata del coste implícito de ejec…
Indicador de velas Heiken Ashi suavizadas con filtro ATR, dibujadas en el gráfico: azul para tramos alcistas y rojo para bajistas. El suavizado decide entre “movimiento importante” y “movimiento pequeño” comparando el nuevo cierre con el cierre suavizado previo mediante ATR × sensibilidad; en rangos menores mezcla valores con un factor de combinación para evitar cambios de color por ruido.
Incluye EMA rápida (20) y …
El factor Janus modela la dualidad del mercado: tramos tendenciales por realimentación positiva frente a rangos con realimentación negativa. La señal surge de cómo los participantes amplifican o frenan movimientos mediante compra/venta y toma temprana de beneficios.
La propuesta se operacionaliza con un “índice” de símbolos y retornos periódicos: retorno del símbolo, retorno de referencia (benchmark) y mediciones de…
MA Crossover EA es un asesor técnico que ejecuta operaciones cuando se produce el cruce entre dos medias móviles configurables, Fast y Slow. Puede aplicarse a cualquier par de divisas y a cualquier marco temporal.
Reglas de entrada: abre COMPRA cuando la Fast MA cruza de abajo hacia arriba a la Slow MA. Abre VENTA cuando la Fast MA cruza de arriba hacia abajo. Mantiene una única posición activa a la vez e incluye ni…
👌2
Showing the 12 most recent of 317 posts we hold for @mql5es. 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.
Channels Telegram recommends alongside this one
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 28 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.
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.
MetaTrader Hints @metatrader_hints · 40,852 Telegram ranks this channel #6 of 47 here — alongside 46 others — read 3 September 2026
MQL5 Algo Trading @mql5dev · 575,400 Telegram ranks this channel #7 of 66 here — alongside 65 others — read 15 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 27 October 2026 — this
entry's latest reading, not the date you are reading this.
“Trading Algorítmico MQL5” (@mql5es), 46,641 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/mql5es.
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.