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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

45,238subscribers

+1,478 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
DescriptionLas mejores publicaciones de la mayor comunidad de tráders algorítmicos. Suscríbase para estar al día con las tecnologías más avanzadas y el desarrollo de programas de trading.
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 live10 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 10 September 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

43,76045,23844,4997 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 subscribers7 August 202610 September 2026
28 measurements spanning 34 days, net +1,478. 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 43,538–45,460 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
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, 22:0344,592+104
24 Aug 2026, 19:3544,488+68
23 Aug 2026, 06:3644,420+77
21 Aug 2026, 16:2844,343+38
20 Aug 2026, 17:1844,305+54
19 Aug 2026, 13:4244,251+28
18 Aug 2026, 13:1344,223+55
17 Aug 2026, 10:1644,168+32
15 Aug 2026, 19:3544,136first reading

Engagement

129 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 71 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.83%
avg views ÷ 45,238 subscribers
Avg views / post
2,180
98 posts measured
Reaction rate
0.309%
reactions ÷ views · ER floor
Posts in window
98
of 129 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 10 September 2026
Posts held129 (2 August 202610 September 2026)
Views total213,939
Reactions total662
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 11:40 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
2,110
Videos
6
Links
2,120

Lifetime counters from Telegram’s own channel header, read 10 September 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
2m 31s
Average length
2m 31s

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.

Reaction mix

932 reactions across 129 posts, in 11 distinct kinds. The most used accounts for 36.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
33836.3%
28830.9%
👌15416.5%
👍11312.1%
🔥192.04%
🏆90.966%
👀30.322%
👏30.322%
20.215%
🤣20.215%
💔10.107%

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 129 of the 129 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 932 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 129 most recent posts we hold, published 2 August 2026 to 10 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.

Recent posts

10 Sept 2026, 10:00 UTC297 views2 reactionsread 10 September 2026
Photo

Continuación del desarrollo en MQL5 de un panel holográfico para MT5 con supervisión multi-símbolo y multi-timeframe. Se consolidan RSI y volatilidad basada en ATR, con ordenación, alertas y animación opcional de pulso. La arquitectura se apoya en arrays para precios previos, spread, cambios porcentuales, volumen y RSI; además de índices para ordenar. Se gestionan handles de iATR e iRSI por símbolo y por timeframe,

1👌1

10 Sept 2026, 08:00 UTC357 views4 reactionsread 10 September 2026
Photo

En lugar de elegir entre linealidad interpretable y deep learning inestable, el artículo propone un modelo en dos etapas: una regresión autorregresiva lineal con 25 variables captura la estructura estadística principal y una red U-Transformer aprende solo los residuos, donde suelen quedar las dependencias no lineales. La U-Transformer adapta U-Net a series temporales con skip-connections y añade autoatención para re

2🏆1👌1

10 Sept 2026, 06:00 UTC448 views2 reactionsread 10 September 2026
Photo

SHK Heikin Ashi MACD Signal Arrows es un indicador para MetaTrader 5 orientado a análisis visual en la ventana principal. Calcula velas Heikin Ashi sintéticas y las representa con colores configurables, priorizando el seguimiento de cambios de dirección en tiempo real. Las señales se basan en barras cerradas: por defecto, las flechas solo se validan al cierre para evitar falsos cambios de color en la vela en formaci

1👌1

10 Sept 2026, 04:00 UTC687 views5 reactionsread 10 September 2026
Photo

Cuando se ejecutan varios EAs en una misma cuenta, el beneficio por sistema aporta poco si el riesgo agregado no está medido. La comparación útil es la suma de las peores rachas por sistema frente a la peor racha de la cuenta en el mismo periodo. La diferencia cuantifica la diversificación y no suele aparecer en reportes estándar. Un script analiza el historial de operaciones cerradas, agrupa por número mágico y rep

2👍2👌1

9 Sept 2026, 04:00 UTC≈1,960 views19 reactionsread 10 September 2026
Photo

El EA “Gold London Breakout” aplica una lógica de ruptura basada en la compresión habitual del XAUUSD durante Asia y la expansión al inicio de Londres. No intenta anticipar dirección: registra el máximo y mínimo entre InpAsianStartHour e InpAsianEndHour (hora del servidor) y, al llegar InpLondonStartHour, coloca dos órdenes pendientes OCO: BuyStop por encima del rango y SellStop por debajo. Al ejecutarse una, la otra

123👍3👌1

8 Sept 2026, 08:00 UTC≈2,520 views6 reactionsread 10 September 2026
Photo

Mantis replantea el análisis de series temporales para trading: en vez de predecir precios con regresión (lenta ante picos y difícil de calibrar), clasifica regímenes en tiempo real y entrega probabilidades bien calibradas mediante escalado por temperatura. La arquitectura tokeniza la serie en un número fijo de parches, haciendo el pipeline estable ante longitudes distintas. Combina contexto local (convolución/pooli

32👌1

8 Sept 2026, 06:00 UTC≈1,970 views3 reactionsread 10 September 2026
Photo

Muchas herramientas estándar de gestión de riesgo parten de una premisa implícita: la peor pérdida futura no será mucho más extrema que la ya observada. ATR, VaR histórico o remuestreo Monte Carlo tienden a centrarse en el cuerpo de la distribución y a subestimar colas gruesas. Se propone un indicador en MQL5 basado en Teoría de Valores Extremos con el enfoque Peaks-Over-Threshold. Convierte cierres en una serie uni

2👌1

8 Sept 2026, 04:00 UTC≈1,900 views9 reactionsread 10 September 2026
Photo

Indicador personalizado en MQL5 para MT5: RSI clásico en ventana independiente con histograma por colores según la dirección del impulso. Integra línea de RSI opcional y barras que clasifican subidas, bajadas o tramo plano mediante un umbral de cambio entre velas. Parámetros clave: periodo y precio del RSI, color y grosor. Histograma con ancho ajustable, Momentum_Filter para filtrar ruido y colores Up/Down/Flat. Niv

43👌1👍1

7 Sept 2026, 08:00 UTC≈2,480 views5 reactionsread 10 September 2026
Photo

El artículo refuerza la estabilidad de un sistema de repetición de mercado en MetaTrader 5 antes de añadir nuevas funciones, evitando riesgos si la plataforma está conectada al mercado real. Se blinda el indicador de control: se detecta su retirada usando OnDeInit y los códigos de desinicialización. Si desaparece, se elimina la variable global que sincroniza indicador y servicio, forzando el cierre del servicio y de

3👌2

7 Sept 2026, 06:00 UTC≈2,030 views5 reactionsread 10 September 2026
Photo

Asesor experto basado en Relative Moving Average (RMA) de Daniel A. Bloch, con señales formuladas en fractiles [0,1] en lugar de precios. Cada barra reexpresa una ventana de W cierres como rendimientos normalizados, calcula la CDF empírica y sitúa el último cierre como posición relativa dentro de la distribución. Umbrales como 0,9 conservan significado bajo distintos regímenes de volatilidad. Implementa cuatro varia

3👌1👍1

7 Sept 2026, 04:00 UTC≈2,100 views7 reactionsread 10 September 2026
Photo

Indicador para scalping manual en la apertura de Londres basado en el rango asiático. Calcula automáticamente los máximos y mínimos de la sesión asiática (00:00–08:00, hora del servidor) y los representa como niveles horizontales. Durante la sesión de Londres, monitoriza el precio alrededor de esos niveles y genera señales de compra o venta ante ruptura confirmada y retest. Traza el rango de la sesión actual, resalt

32👌2

5 Sept 2026, 08:00 UTC≈3,060 views12 reactionsread 10 September 2026
Photo

La parte 24 construye un EA de ruptura de la sesión de Londres en MQL5: define el rango previo a la apertura (máximo/mínimo), valida su tamaño y coloca órdenes pendientes BuyStop/SellStop con un pequeño offset para capturar el aumento de volatilidad. El sistema incorpora gestión de riesgo completa: relación riesgo/beneficio para TP, stop loss configurable, trailing stop activable por beneficio mínimo, límite de oper

53👌2👍2

Showing the 12 most recent of 129 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
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#4
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@xmlatino · 6,494
#5
YO SOY UN TRADER GANADOR
@TradingconAsdrubalandrade · 5,822
#6
It's Smart Money
@itssmartmoneystrategy · 19,504
#7
Estrategias Ganadoras de Trading
@Estrategiasganadorasdetrading · 1,688
#8
Enigmatic Trading
@enigmatictrading · 8,324
#9
Telegram Oficial de Angel Casapía
@tdrangelcasapia · 2,844
#10
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@institucionaltradinglab · 26,043
#11
Comunidad de Traders
@tradersdeindicessinteticos · 21,314
#12
Indices Sintéticos Trading Fácil y Sencillo
@Tradingparaindicesinteticos · 2,095 (as read 28 August 2026)
#13
🆓🇨 🇹 🇬- 🅒🅤🅡🅢🅞🅢 🅓🅔 🅣🅡🅐🅓🅘🅝🅖 🅖🅡🅐🅣🅘🅢 🆓
@CursosTradingGratis · 9,556
#14
EASYTRADEMASTER💎
@easytrademasterbot · 202
#15
𝐂𝐨𝐦𝐮𝐧𝐢𝐝𝐚𝐝 𝐝𝐞 𝐓𝐑𝐀𝐃𝐄𝐑𝐒 𝐀𝐥𝐩𝐡𝐚 𝐏𝐫𝐨 🗽
@AlphaProAcademy · 8,438
#16
Conceptos Trading Profesional
@IntensivosCTP · 15,813
#17
Cursos Smart Money ( SMC )
@smartmoneyconceptsfree · 10,895
#18
Admirals LATAM
@admirals_LATAM · 1,087
#19
Exness LATAM
@ExnessLatam · 4,158
#20
Señales Forex Gratis♦️MasTrading Forex♦️
@mastradingfx · 6,456
#21
Gram 🇪🇸
@toncoin_es · 201,335
#22
Wiki Trading | Cursos SMC / LIT GRATIS
@wikitrading_free · 3,403
#23
SIGNALS
@academyx10signal · 2,178
#24
CRASH Y BOOM INDEX SIGNAL
@crash_boom_index · 7,455
#25
WeltradeSignals_Free
@WeltradeSignalsFree · 760
#26
FXStreet Español
@fxstreetforexspanish · 2,569
#27
👑 𝘼𝙇𝙒𝘼𝙔𝙎 𝙏𝙍𝘼𝘿𝙄𝙉𝙂 🌎
@AlwaysTradingGlobal · 2,410
#28
Sniper Pro Índices Sintéticos
@Sniper_pro_sintetico · 2,820
#29
🔱🦈CAZADORES DE PIPS 🔱🦈
@Cazadoresdepip · 8,515
#30
Bull Cash VIP 📊🤑
@BULLCASHFREE · 8,441
#31
FBS Análisis en Español
@spanishfbs · 3,180
#32
📢 Investment News!
@InvestmentNewsEsp · 52,464
#33
Luis JC.FX
@luisjyc · 1,027
#34
💥🦅 Familia forex 💥🦅
@FAMILIAFOREX · 3,070
#35
Trading Fusion Concepts
@Traderanonimofusion · 6,664
#36
Indices Sinteticos Lina Becerra Figueroa (Método E.Q.R)🔥🔥 único canal oficial
@linabecerrafigueroaEQRoficial · 3,366
#37
Analisis Diario 🔥 8 PM 🇵🇪
@Analisisdiario · 6,246
#38
SEÑALES GOLD_BOLIVIA_FREE 🇧🇴
@canalVi3 · 1,457
#39
📊 TRADERS ACADEMY | SEÑALES GRATIS
@tradersacademyob · 41,884
#40
Ranking Cursos de Trading - ES
@TradingRanksCursos · 16,010
#41
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@aurusclubfx · 886
#42
Trader Smart Synthetic TRADING🏆
@tradersmartsynthetic1 · 1,892
#43
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@vanitaruizv75index · 1,322
#44
📊Alejandro Fintch | Señales Gratis 🚀
@alejandrosinalesgratis · 82,242
#45
VIC-FOREX
@vicforexgo · 4,412
#46
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@scalpingnudista · 4,973
#47
KFX TRADING FOREX💥
@TRADINGKFXFREE · 1,098
#48
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@JacksBacktestt · 727
#49
SEÑALES GRATIS - GESTIÓN DE CUENTAS FOREX
@Fxbasic_entradastrading · 11,194
#50
JONTRADER
@jontradercom · 8,171
#51
Sebaskingsofprofit
@sebaskingsofprofit · 13,875
#52
Simple Forex Tools
@simpleforextools · 30,782
#53
Trading Brain
@ICTesp · 3,100
#54
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@oficialtradersporelmundo · 13,779
#55
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@hmgtrading1 · 5,967
#56
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@TheInvestingBulls1 · 6,198
#57
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@tradinglatinope · 5,522
#58
Telo News Español - Cripto | DeFi | Web3
@telonews_es · 71,072
#59
📈 AJ CASH | Señales + Educación 📉
@canaloficialAJ · 6,073
#60
𝐅𝐗 𝐒𝐈𝐆𝐍𝐀𝐋 𝐓𝐄𝐀𝐌™
@forexxauusdmarket · 5,939
#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 · 34,774
Telegram ranks this channel #6 of 47 here — alongside 46 others — read 3 September 2026
MQL5 Algo Trading
@mql5dev · 552,197
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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“Trading Algorítmico MQL5” (@mql5es), 45,238 subscribers as measured 10 September 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.