Channel

FxMath_Apex_Grid

@FxMathApex

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

38subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1003127260497
Type	Channel
Username	@FxMathApex
Created	Between 1 September 2025 and 11 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	10 August 2026
Last confirmed live	9 October 2026
Measurements held	6
Confirmed unchanged	1 time, most recently 9 October 2026
On Telegram	t.me/FxMathApex

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 30 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 why it has no browse page of its own yet.

Growth

6 measurements spanning 62 days, net -1. 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 38–41 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
9 Oct 2026, 01:39	38	-1
28 Sept 2026, 18:59	39	-2
14 Sept 2026, 09:20	41	+1
5 Sept 2026, 19:18	40	+1
10 Aug 2026, 20:30	39	no change
7 Aug 2026, 21:11	39	first reading

Engagement

20 posts held, back to 11 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 24 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

20 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 55.0% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
👍	11	55.0%
❤	8	40.0%
🤯	1	5.00%

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 8 of the 20 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 20 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 November 2025 to 24 July 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

24 Jul 2026, 16:43 UTC89 views3 reactionsread 10 August 2026

💳 New Payment Gateway is Live! Great news for our global trading community! We have integrated a new, highly secure payment gateway on our site. You can now purchase any FxMath algorithmic system, scanner, or copier instantly using Credit/Debit Cards, Google Pay (GPay), and more. All licenses are available at their standard competitive prices (matching our crypto rates) with instant setup. 🌐 All-In-One Storefront Br…

👍3

Signed Reza Mehrabani

15 Jul 2026, 16:21 UTC79 views3 reactionsread 10 August 2026

As you may know, my favorite pair for trading is XAUUSD (Gold), and all the automated EAs I develop are specifically designed for this pair. I've recently launched a Telegram channel called FxMath_Aurum_ML, where I post every trade opened by the EA on the M5, M15, and H1 timeframes. Each post includes the open price, stop-loss, and take-profit levels. Once a trade hits its SL or TP, I also post an update with the re…

❤3

Signed Reza Mehrabani

19 Jun 2026, 17:04 UTC161 viewsread 10 August 2026

FxMath Ultimate AI Bundle – Complete Algorithmic Trading Suite Are you looking to diversify your automated trading portfolio? Expand your setup with a collection of machine learning and quantitative trading tools designed for the MetaTrader platform. Here is what is included in the suite: 🔹 Elite Pro & Evolution EAs (2-Year Shared License) Multi-layered neural networks built on adaptive parameters and evolutionary g…

Signed Reza Mehrabani

16 Dec 2025, 18:41 UTC249 views6 reactionsread 10 August 2026

Nowadays, algorithmic trading increasingly relies on advanced mathematical models and AI/ML techniques. MT5 provides a powerful Python API, which I’ve been working with for several years. This API enables seamless integration with any machine learning or AI library, giving traders exceptional flexibility. I believe this approach is ideal for our upcoming products: FxMath Gold AI Elite, FxMath Trade Fusion AI, FxMath…

👍4❤2

Signed Reza Mehrabani

8 Dec 2025, 17:29 UTC225 viewsread 10 August 2026

https://momentum.fxmath.com/

Signed Reza Mehrabani

8 Dec 2025, 17:27 UTC177 views1 reactionsread 10 August 2026

🚀 FxMath Momentum EA — Precision Momentum Trading for XAUUSD FxMath Momentum EA is a high-performance Expert Advisor for MetaTrader 5, built for XAUUSD on the M5 timeframe. It combines MACD crossover logic with RSI momentum filtering, enforces strict risk management, and avoids grid/martingale tactics. With fixed 1% risk per trade and a 1:2.5 reward-to-risk ratio, it’s optimized for prop firm compliance and discipli…

👍1

Signed Reza Mehrabani

5 Dec 2025, 15:41 UTC146 views4 reactionsread 10 August 2026

I’ve developed a new EA and, for now, optimized it for XAUUSD on the M5 timeframe. The initial results are promising, and I’m continuing to refine it with the goal of releasing it within the next few days. While the EA can work on any pair or timeframe, it should be optimized accordingly for best performance. It’s built on a momentum strategy and incorporates dynamic SL/TP management. Importantly, FxMath Gold AI Elit…

❤2👍2

Signed Reza Mehrabani

19 Nov 2025, 16:42 UTC157 viewsread 10 August 2026

Photo

During today’s 3:00–6:00 AM GMT session, FxMath Apex Grid executed 3 trades, closing with a +75 pip profit. No additional sessions were run today. Yesterday’s morning session also delivered strong performance, generating +129 pips in profit.

Signed Reza Mehrabani

17 Nov 2025, 15:23 UTC158 views1 reactionsread 10 August 2026

Photo

📊 FxMath Apex Grid – Second Session Recap Around 7:00 AM GMT, FxMath Apex Grid ran again. The market showed some trending behavior, and within 2 hours the EA generated +164 pips profit. In this session, all trades were opened automatically by the EA, while I managed them manually to adapt to conditions. ✅ Daily Total (two sessions): First session: +351 pips Second session: +164 pips Combined: +515 pips 💰 Profi…

👍1

Signed Reza Mehrabani

17 Nov 2025, 15:19 UTC125 viewsread 10 August 2026

Photo

🌟 FxMath Apex Grid – First Session Highlight At 3:00 AM GMT, FxMath Apex Grid kicked off the first session and delivered a strong performance on XAUUSD, closing with +351 pips profit in just 17 minutes. I had set restrictive parameters — max loss: -300 pips and target profit: +350 pips — and the EA hit the profit cap precisely, locking in gains efficiently within the short window.

Signed Reza Mehrabani

17 Nov 2025, 14:24 UTC122 views1 reactionsread 10 August 2026

https://youtu.be/47Hv049V47s?si=BBhP7ee6Oc7OsnWC

❤1

Signed Reza Mehrabani

14 Nov 2025, 17:42 UTC112 viewsread 10 August 2026

⚙️ FxMath Apex Grid – Semi-Automated Approach FxMath Apex Grid is an EA, but it’s not fully hands-free. While trade entries are 100% automated, the closure process still requires smarter functions and features. That said, the blend of automation + manual management has proven to deliver strong results in a short time. I’m currently working on increasing the number of closed trades to build a new model, training it …

Signed Reza Mehrabani

Showing the 12 most recent of 20 posts we hold for @FxMathApex. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

FxMath_Aurum_ML
@FxMathAurum · 691 post

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 9 October 2026 — this entry's latest reading, not the date you are reading this.

“FxMath_Apex_Grid” (@FxMathApex), 38 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/FxMathApex.

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.