Telegram RegisterThe public register of Telegram
Telegram profile photo for Trading Algorítmico MQL5

Channel

Trading Algorítmico MQL5

@mql5es

Not marked by Telegram, checked 30 August 2026

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

46,238subscribers

+2,478 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002196668706
TypeChannel
Username@mql5es
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 13 October 2026
On Telegramt.me/mql5es

Topic

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 why it has no browse page of its own yet.

Growth

43,76046,23844,9997 August 2026 — 43,760 subscribers8 August 2026 — 43,788 subscribers9 August 2026 — 43,810 subscribers10 August 2026 — 43,827 subscribers11 August 2026 — 43,869 subscribers12 August 2026 — 43,948 subscribers13 August 2026 — 43,997 subscribers14 August 2026 — 44,067 subscribers15 August 2026 — 44,136 subscribers17 August 2026 — 44,168 subscribers18 August 2026 — 44,223 subscribers19 August 2026 — 44,251 subscribers20 August 2026 — 44,305 subscribers21 August 2026 — 44,343 subscribers23 August 2026 — 44,420 subscribers24 August 2026 — 44,488 subscribers25 August 2026 — 44,592 subscribers26 August 2026 — 44,663 subscribers27 August 2026 — 44,702 subscribers28 August 2026 — 44,758 subscribers29 August 2026 — 44,802 subscribers30 August 2026 — 44,838 subscribers31 August 2026 — 44,855 subscribers1 September 2026 — 44,910 subscribers2 September 2026 — 44,995 subscribers4 September 2026 — 45,038 subscribers6 September 2026 — 45,083 subscribers10 September 2026 — 45,238 subscribers12 September 2026 — 45,320 subscribers14 September 2026 — 45,351 subscribers15 September 2026 — 45,414 subscribers17 September 2026 — 45,474 subscribers29 September 2026 — 45,831 subscribers5 October 2026 — 45,956 subscribers9 October 2026 — 46,090 subscribers13 October 2026 — 46,238 subscribers7 August 202613 October 2026
36 measurements spanning 67 days, net +2,478. 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 43,388–46,610 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
13 Oct 2026, 15:4646,238+148
9 Oct 2026, 16:1846,090+134
5 Oct 2026, 10:2045,956+125
29 Sept 2026, 09:0145,831+357
17 Sept 2026, 20:2045,474+60
15 Sept 2026, 16:5745,414+63
14 Sept 2026, 01:4045,351+31
12 Sept 2026, 09:1745,320+82
10 Sept 2026, 06:1845,238+155
6 Sept 2026, 20:3745,083+45
4 Sept 2026, 07:2045,038+43
2 Sept 2026, 19:5944,995+85
1 Sept 2026, 17:0444,910+55
31 Aug 2026, 13:5844,855+17
30 Aug 2026, 15:2944,838+36
29 Aug 2026, 17:1244,802+44
28 Aug 2026, 19:4744,758+56
27 Aug 2026, 22:1744,702+39
26 Aug 2026, 23:4844,663+71
25 Aug 2026, 22:0344,592first reading

Engagement

254 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 133 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.20%
avg views ÷ 46,238 subscribers
Avg views / post
1,940
114 posts measured
Reaction rate
0.373%
reactions ÷ views · ER floor
Posts in window
114
of 254 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
WindowRolling 30 days · latest post in window 13 October 2026
Posts held254 (2 August 2026 – 13 October 2026)
Views total221,243
Reactions total825
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Oct 2026, 11:03 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

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

1,860 reactions across 254 posts, in 14 distinct kinds. The most used accounts for 32.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
✍60732.6%
❤58731.6%
👌31316.8%
👍26614.3%
🔥361.94%
🏆231.24%
⚡130.699%
🎉40.215%
👀30.161%
👏30.161%
🤣20.108%
💔10.054%
🤓10.054%
🤯10.054%

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 254 of the 254 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 1,860 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 254 most recent posts we hold, published 2 August 2026 to 13 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.

Recent posts

13 Oct 2026, 08:00 UTC292 views2 reactionsread 13 October 2026
Photo

Firebase reduce el coste de mantener backend y permite centrarse en la lógica de la app, con dos opciones NoSQL: Realtime Database y Cloud Firestore. Realtime Database prioriza latencia mínima y sincronización inmediata con un árbol JSON simple; encaja en chats, juegos y paneles en vivo, pero complica modelos con relaciones y consultas elaboradas. Firestore usa colecciones y documentos, escala mejor y aporta consul…

✍1👌1

13 Oct 2026, 06:00 UTC353 views3 reactionsread 13 October 2026
Photo

Quienes operan con cuadrículas, martingala o promedios suelen dimensionar mal el capital por fijarse en la pérdida del último tramo. El fallo real llega antes: el stop-out se activa cuando el nivel de margen cae al umbral del bróker mientras la cadena sigue abierta. Este EA calcula la exposición completa (paso × N(N−1)/2), el margen realmente bloqueado vía OrderCalcMargin y el porcentaje de “flotante + margen” sobre…

✍2👌1

13 Oct 2026, 04:00 UTC538 views5 reactionsread 13 October 2026
Photo

Un script en MQL5 permite generar un archivo de comandos para personalizar el Asistente de IA en MetaTrader 5 sin depender de APIs, DLLs ni servicios externos. La configuración se controla editando un prompt que define idioma, personalidad, menú y reglas de comportamiento. El flujo es directo: ejecutar AI_Prompt_Writer.mq5 desde MetaEditor, elegir idioma y perfil, opcionalmente cambiar el nombre de salida, y generar…

✍2👍2👌1

12 Oct 2026, 08:00 UTC≈1,750 views5 reactionsread 13 October 2026
Photo

En MQL5 es posible ejecutar varios modelos ONNX ya entrenados y combinarlos en un único flujo de decisión, evitando construir un ensamblado ONNX complejo. Un caso práctico es un clasificador por votación que solo opera cuando los modelos coinciden. Se usan dos modelos para EURUSD D1: regresión con 10 velas OHLC (2003–2022) para estimar el cierre siguiente y convertirlo a tres clases, y clasificación con 63 cierres (…

❤2✍1👌1👍1

12 Oct 2026, 06:00 UTC≈1,470 views6 reactionsread 13 October 2026
Photo

Session Range Desk MT5 v4.01 es un asesor experto educativo y de código abierto para cuentas de cobertura en MetaTrader 5, orientado a rupturas de un rango móvil basado en LookbackCandles. Integra filtro por ATR, cálculo de volumen por riesgo según distancia de stop y un panel gráfico. Varias instancias por símbolo pueden compartir estado mediante variables globales de la terminal. No usa grid, martingala ni promedio…

👍2⚡1✍1❤1👌1

12 Oct 2026, 04:00 UTC≈1,420 views7 reactionsread 13 October 2026
Photo

La analítica posterior a la operación suele limitarse a precio de entrada y cierre. Este EA añade métricas en R basadas en la distancia inicial del stop, registrada en la primera detección antes de cualquier ajuste, para evitar que el trailing altere la referencia. Durante la vida de cada posición mide el recorrido máximo y mínimo del precio en múltiplos de R. Al cerrarse, genera una fila CSV en MQL5\Files con: tick…

👌2👍2✍1❤1🔥1

11 Oct 2026, 08:00 UTC≈1,890 views8 reactionsread 13 October 2026
Photo

Automatizar estrategias en múltiples instrumentos suele implicar adjuntar y parametrizar un EA en cada gráfico. En pruebas y en ejecución real, esta duplicación complica la gestión, consume recursos y dificulta consolidar resultados, en especial al evaluar una curva global de rentabilidad. Una plantilla “multibot” concentra el control en un solo gráfico y procesa el resto internamente, con listas en parámetros strin…

👍3✍2👌2❤1

11 Oct 2026, 06:00 UTC≈1,560 views6 reactionsread 13 October 2026
Photo

Indicador para detección de bloques de órdenes basado en acción del precio. Se busca la “última vela opuesta” previa a un movimiento impulsivo que rompe estructura, asumiendo que ese rango concentra el flujo que preparó la ruptura. La lógica opera en tres fases: validación de pivotes fractales (swing), confirmación de ruptura por cierre con distancia mínima y vela de impulso con cuerpo real suficiente, y búsqueda ha…

✍3👍2👌1

11 Oct 2026, 04:00 UTC≈1,540 views4 reactionsread 13 October 2026
Photo

Un EA puede comportarse distinto entre brókers por diferencias en spread, horarios de negociación y especificaciones de contrato. Cambios en sesiones diarias alteran la barra D1 aunque el precio sea el mismo, afectando rangos y cálculos basados en velas. Una utilidad de diagnóstico permite comparar dos brókers en paralelo: horarios por día laborable informados por el servidor y el cierre más tardío; tamaño de contra…

✍2❤1👌1

10 Oct 2026, 06:00 UTC≈2,030 views14 reactionsread 13 October 2026
Photo

Fair Value Gap Scanner identifica tres tipos de desequilibrios en velas y los representa como zonas alcistas y bajistas basadas en cierres confirmados. Las zonas pueden mantenerse visibles tras la corrección o eliminarse automáticamente según la configuración. La mitigación puede definirse por primer contacto con la zona o por relleno completo. Un filtro de tamaño mínimo permite descartar brechas pequeñas en activos…

❤5👍5👌3✍1

10 Oct 2026, 04:00 UTC≈1,810 views10 reactionsread 13 October 2026
Photo

IronHawk SMC Trade Zones M5 es un indicador gráfico para localizar oportunidades estructuradas en M5 usando únicamente velas cerradas. Combina pivotes confirmados, barridos de liquidez, BOS/CHoCH, desplazamiento, FVG, bloques de órdenes, RSI, MACD y métricas de riesgo basadas en ATR. No ejecuta ni gestiona operaciones. Propone niveles de entrada, stop loss, TP1 y TP2 para análisis manual, con selección automática en…

✍4❤3👍2👌1

9 Oct 2026, 16:00 UTC≈2,030 views6 reactionsread 13 October 2026
Photo

Trabajo en MQL5 con redes neuronales sin frameworks externos avanza hacia un punto crítico: los datos. La elección recae en MNIST por disponibilidad y tamaño, con imágenes 28x28, normalmente en escala de grises, a menudo en PNG. La biblioteca estándar de MQL5 no incluye lectura PNG, por lo que toca implementar un lector básico. El primer paso es validar la firma del archivo y luego procesar su estructura por bloques…

❤3✍1👌1👍1

Showing the 12 most recent of 254 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.

MQL5 Algo Trading
@mql5dev · 569,737
#1
.
@elmejo111 · 3,607
#2
Juego de Traders
@juegodetradersoficial · 12,074
#3
CURSOS SMART MONEY
@cursosgratis_do · 11,959
#4
XM Latino
@xmlatino · 6,491
#5
YO SOY UN TRADER GANADOR
@TradingconAsdrubalandrade · 5,683
#6
It's Smart Money
@itssmartmoneystrategy · 19,322
#7
Estrategias Ganadoras de Trading
@Estrategiasganadorasdetrading · 1,727
#8
Enigmatic Trading
@enigmatictrading · 8,347
#9
Telegram Oficial de Angel Casapía
@tdrangelcasapia · 2,939
#10
TRADING LAB
@institucionaltradinglab · 25,803
#11
Máster Yoel
@tradersdeindicessinteticos · 6,280
#12
Indices Sintéticos Trading Fácil y Sencillo
@Tradingparaindicesinteticos · 2,057
#13
🆓🇨 🇹 🇬- 🅒🅤🅡🅢🅞🅢 🅓🅔 🅣🅡🅐🅓🅘🅝🅖 🅖🅡🅐🅣🅘🅢 🆓
@CursosTradingGratis · 9,364
#14
EASYTRADEMASTER💎
@easytrademasterbot · 208
#15
𝐂𝐨𝐦𝐮𝐧𝐢𝐝𝐚𝐝 𝐝𝐞 𝐓𝐑𝐀𝐃𝐄𝐑𝐒 𝐀𝐥𝐩𝐡𝐚 𝐏𝐫𝐨 🗽
@AlphaProAcademy · 8,318
#16
Conceptos Trading Profesional
@IntensivosCTP · 15,670
#17
Cursos Smart Money ( SMC )
@smartmoneyconceptsfree · 10,937
#18
Admirals LATAM
@admirals_LATAM · 1,071
#19
Exness LATAM
@ExnessLatam · 4,096
#20
Señales Forex Gratis♦️MasTrading Forex♦️
@mastradingfx · 6,252
#21
Gram 🇪🇸
@toncoin_es · 196,999
#22
Wiki Trading | Cursos SMC / LIT GRATIS
@wikitrading_free · 3,447
#23
SIGNALS
@academyx10signal · 2,152
#24
CRASH Y BOOM INDEX SIGNAL
@crash_boom_index · 7,324
#25
WeltradeSignals_Free
@WeltradeSignalsFree · 764
#26
FXStreet Español
@fxstreetforexspanish · 2,537
#27
👑 𝘼𝙇𝙒𝘼𝙔𝙎 𝙏𝙍𝘼𝘿𝙄𝙉𝙂 🌎
@AlwaysTradingGlobal · 2,394
#28
Sniper Pro Índices Sintéticos
@Sniper_pro_sintetico · 2,764
#29
🔱🦈CAZADORES DE PIPS 🔱🦈
@Cazadoresdepip · 8,342
#30
Bull Cash VIP 📊🤑
@BULLCASHFREE · 8,258
#31
FBS Análisis en Español
@spanishfbs · 3,181
#32
📢 Investment News!
@InvestmentNewsEsp · 52,537
#33
Luis JC.FX
@luisjyc · 1,025
#34
💥🦅 Familia forex 💥🦅
@FAMILIAFOREX · 3,029
#35
Trading Fusion Concepts
@Traderanonimofusion · 6,598
#36
Indices Sinteticos Lina Becerra Figueroa (Método E.Q.R)🔥🔥 único canal oficial
@linabecerrafigueroaEQRoficial · 3,397
#37
Analisis Diario 🔥 8 PM 🇵🇪
@Analisisdiario · 6,156
#38
SEÑALES GOLD_BOLIVIA_FREE 🇧🇴
@canalVi3 · 1,478
#39
📊 TRADERS ACADEMY | SEÑALES GRATIS
@tradersacademyob · 40,305
#40
Ranking Cursos de Trading - ES
@TradingRanksCursos · 16,563
#41
Aurus Club FX | Bots de trading
@aurusclubfx · 898
#42
Trader Smart Synthetic TRADING🏆
@tradersmartsynthetic1 · 1,898
#43
Vanita Ruiz Trader especialista XAUUSD / STEP300- OFICIAL
@vanitaruizv75index · 1,332
#44
📊Alejandro Fintch | Señales Gratis 🚀
@alejandrosinalesgratis · 79,500
#45
VIC-FOREX
@vicforexgo · 5,221
#46
SNT - Scalping Nudista Trading
@scalpingnudista · 4,937
#47
KFX TRADING FOREX💥
@TRADINGKFXFREE · 1,085
#48
Jack's Backtest 📈✅
@JacksBacktestt · 729
#49
SEÑALES GRATIS - GESTIÓN DE CUENTAS FOREX
@Fxbasic_entradastrading · 11,149
#50
JONTRADER
@jontradercom · 8,083
#51
Sebaskingsofprofit
@sebaskingsofprofit · 13,557
#52
Simple Forex Tools
@simpleforextools · 31,741
#53
Trading Brain
@ICTesp · 2,978
#54
Traders por el mundo
@oficialtradersporelmundo · 13,562
#55
HotMarketGuy 👁
@hmgtrading1 · 5,807
#56
The Investing Bulls VIP®
@TheInvestingBulls1 · 5,984
#57
Trading Latino
@tradinglatinope · 5,362
#58
Telo News Español - Cripto | DeFi | Web3
@telonews_es · 69,224
#59
📈 AJ CASH | Señales + Educación 📉
@canaloficialAJ · 5,948
#60
𝐅𝐗 𝐒𝐈𝐆𝐍𝐀𝐋 𝐓𝐄𝐀𝐌™
@forexxauusdmarket · 6,087
#61

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 · 39,185
Telegram ranks this channel #6 of 47 here — alongside 46 others — read 3 September 2026
MQL5 Algo Trading
@mql5dev · 569,737
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 13 October 2026 — this entry's latest reading, not the date you are reading this.

“Trading Algorítmico MQL5” (@mql5es), 46,238 subscribers as measured 13 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.