27 measurements spanning 29 days, net -311. 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 13,388–13,793 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
4 Sept 2026, 23:37
13,435
-16
3 Sept 2026, 09:26
13,451
-15
2 Sept 2026, 02:04
13,466
-10
31 Aug 2026, 23:26
13,476
-6
30 Aug 2026, 21:25
13,482
-9
30 Aug 2026, 00:55
13,491
-12
28 Aug 2026, 23:37
13,503
-13
28 Aug 2026, 01:54
13,516
-10
27 Aug 2026, 02:47
13,526
-10
26 Aug 2026, 01:25
13,536
-6
25 Aug 2026, 04:32
13,542
-12
23 Aug 2026, 21:47
13,554
-9
22 Aug 2026, 05:46
13,563
-24
20 Aug 2026, 18:13
13,587
-14
19 Aug 2026, 14:37
13,601
-20
18 Aug 2026, 14:47
13,621
-8
17 Aug 2026, 16:05
13,629
-18
16 Aug 2026, 08:12
13,647
-13
14 Aug 2026, 22:27
13,660
-17
13 Aug 2026, 11:26
13,677
first reading
Engagement
23 posts held, back to 8 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.7%
avg views ÷ 13,435 subscribers
Avg views / post
1,430
3 posts measured
Reaction rate
0.79%
reactions ÷ views · ER floor
Posts in window
3
of 23 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 August 2026
Posts held
23 (8 July 2026 – 27 August 2026)
Views total
4,303
Reactions total
34
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:12 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
6m 22s
Average length
48s
Measured directly from 8 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
237 reactions across 22 posts, in 8 distinct kinds. The most used accounts for 64.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
152
64.1%
🔥
26
11.0%
😱
19
8.02%
👍
18
7.59%
👏
9
3.80%
💯
6
2.53%
❤🔥
5
2.11%
🥰
2
0.844%
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 22 of the 23 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 237 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 8 July 2026 to 27 August 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 Stars
Stars received
4
across the posts below
Posts paid on
4
of 23 we hold a reading for · 17%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @authenticacademy. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 23 most recent posts we hold for this entry, published 8 July 2026 to 27 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
⚙️ 2 HOURS. ONE INCREDIBLE RESULT.
💎 $100 ➜ $607
⚡ Completed in just 2 hours
❗️ Lowest Risk Mode
This is what happens when speed meets precision.
ORION Fast Scalping Mode scans the market, waits for high-probability opportunities, and executes trades with intelligent risk management built into every decision.
🔗 Fast Scalping Technology
🔗 Smart Entry & Exit Logic
🔗 Advanced Risk Protection
🔗 Fully Automated Execut…
📈 Another Incredible Day with ORION GOLD SCALPER! 💸
✔️ $100 ➜ $600 in a single trading day using ORION Fast Scalping Mode.☄️
Precision. Speed. Smart risk management.
⚡High-speed market execution
📊Intelligent trade management
🔒Advanced risk protection built in
🧠 Fully automated trading with the ORION dashboard
🔥Ready to experience the power of ORION Fast Scalping Mode?
✉️ DM @authentic_admin
#OrionGoldScalper #F…
💭 Another Happy Orion Gold Scalper User! 🔥
Nothing speaks louder than real client feedback. 💯
Our trader received the EA, activated the license, started trading, and the next message says it all… 👇
“Nice 👍😍😍 Can share high risk setup? Fast scalping.”
❓When traders ask for more aggressive settings, it shows the confidence they have in Orion’s performance after seeing the results.
⚡ Smart Entry Engine
📈 Fast Scalp…
⚡ Another Incredible Session with Orion Fast Scalping Mode!
💸 +$500 Profit Today
The market delivered the opportunity, and Orion Fast Scalping Mode executed with speed and precision.
🔼 Fast entries
🔍 Smart risk management
🔒 Quick profit capture
Consistency comes from discipline, strategy, and patience—not chasing every move.📈
Who’s ready for the next trading session? 👇
✉️Support @authentic_admin
#OrionGoldScal…
🚨CPI VOLATILITY. ORION DELIVERED.📈
Another powerful news session completed.✔️
💵 $662 profit in just 15 minutes during today’s CPI volatility.
This is exactly what 😈Orion Fast Scalping Mode is designed for—capturing high-probability opportunities when the market moves with strong momentum.
⚡ Fast execution.
💯Smart risk management.
📊 Fully automated trading.
When volatility arrives, Orion is ready.
Get Orion now
❓ORION PROFESSIONAL USER MANUAL – COMPLETE SERIES
Everything you need to master Orion from installation to advanced trading.
📗 Volume 1 – Getting Started
🔗 Installation & Activation
🔗 License Setup
🔗 EA Configuration
🔗 Basic Settings
🔗 First Trade Guide
📘 Volume 2 – Dashboard Guide
🔗 Dashboard Overview
🔗 Performance Metrics
🔗 Session Command
🔗 Protection Center
🔗 Smart Recovery
🔗 Trade Engine
🔗 Risk Modes
🔗 Orion …
❤7👍4🔥2
Showing the 12 most recent of 23 posts we hold for @authenticacademy. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
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.
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.
DWG ALGO @dwgalgo_T3Formula · 55,303 Telegram ranks this channel #36 of 83 here — alongside 82 others — read 23 August 2026
MR.QI - GOOD LUCK🍀 🌏 @mrqigoodluck · 32,778 Telegram ranks this channel #39 of 49 here — alongside 48 others — read 5 September 2026
Market Makers @mmsignalsfx · 105,880 Telegram ranks this channel #52 of 72 here — alongside 71 others — read 15 August 2026
The Forex Support | Free Forex Signals @TheFXSupportFree · 138,399 Telegram ranks this channel #55 of 61 here — alongside 60 others — read 15 August 2026
🇮🇩 TheForexSupport | Free Forex Signals @TheFXsupportSignalsID · 43,846 Telegram ranks this channel #59 of 66 here — alongside 65 others — read 28 August 2026
Chief Scalper @CPabloScalper · 30,772 Telegram ranks this channel #63 of 80 here — alongside 79 others — read 6 September 2026
CANDLE KING 〄 @candleking009 · 86,231 Telegram ranks this channel #82 of 83 here — alongside 82 others — read 18 August 2026
This channel appears in 7 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 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“Authentic Fx | Academy” (@authenticacademy), 13,435 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/authenticacademy.
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.