Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 52% 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
36 measurements spanning 43 days, net -817. 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 75,937–77,000 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:16
76,060
-19
16 Sept 2026, 01:40
76,079
-27
14 Sept 2026, 10:19
76,106
-54
12 Sept 2026, 18:15
76,160
-17
10 Sept 2026, 15:36
76,177
-80
7 Sept 2026, 08:56
76,257
-82
4 Sept 2026, 16:02
76,339
-30
3 Sept 2026, 02:26
76,369
-14
1 Sept 2026, 22:04
76,383
-10
31 Aug 2026, 18:55
76,393
-19
30 Aug 2026, 21:45
76,412
-31
29 Aug 2026, 22:24
76,443
-23
29 Aug 2026, 00:28
76,466
+3
28 Aug 2026, 00:37
76,463
-20
27 Aug 2026, 01:34
76,483
-5
26 Aug 2026, 03:34
76,488
-17
25 Aug 2026, 05:24
76,505
-4
24 Aug 2026, 06:46
76,509
-24
22 Aug 2026, 17:26
76,533
-42
21 Aug 2026, 06:23
76,575
first reading
Engagement
28 posts held, back to 22 December 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 106 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.27%
avg views ÷ 76,060 subscribers
Avg views / post
7,050
7 posts measured
Reaction rate
0.847%
reactions ÷ views · ER floor
Posts in window
7
of 28 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 26 September 2026
Posts held
28 (22 December 2025 – 26 September 2026)
Views total
49,370
Reactions total
418
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 13:26 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
≈3,130
Links
≈3,110
Lifetime counters from Telegram’s own channel header, read 27 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.
Reaction mix
4,857 reactions across 28 posts, in 5 distinct kinds. The most used accounts for 55.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,672
55.0%
👍
1,190
24.5%
🔥
523
10.8%
🤣
451
9.29%
👎
21
0.432%
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 28 of the 28 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 4,857 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 22 December 2025 to 26 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.
Stock Trading Secrets, starts in less than 1 hour.
During this live event, you’ll discover:
· How to earn an extra 15% a year in 15 mins a day (less time than it takes me to find my TV remote).
· How to tell if a strategy actually works before risking real money.
· How to generate consistent profits during a bull market, bear market, or even when it feels like the world is ending (like when my wife discovers I’ve…
Hey hey, what’s up my friend!
We’re almost 9 months into 2026.
So I thought it’s a good time to show you how my trading is performing this year.
These aren't backtests. These are live trading results with real money.
Let's start with the first one.
Account #1: Momentum
This strategy looks to buy stocks that are showing strong momentum and ride the trend for as long as it persists.
Here's how it's performing so…
Imagine you have a trading strategy that makes 20% a year over the long run.
Sounds amazing, right?
But here's what the yearly returns might look like…
Year 1: +25%
Year 2: +18%
Year 3: +3%
Year 4: -12%
Year 5: -5%
Year 6: +30%
Now let me ask you…
If you started trading this strategy in Year 3, would you still be at it after two losing years?
(Year 3 was survivable. But Year 4 and 5? That's two years of watchin…
One of my favourite foods is chicken rice.
When I was a kid, a plate cost around $2.50. But the other day I paid $5 for the same plate. Same chicken. Same rice. Same uncle (who's also lost some hair over the years, so at least I'm not suffering alone).
How did this happen?
Inflation. The silent thief. It doesn't kick down your door; it just picks your pocket slowly, one piece of chicken at a time.
Now, for years y…
It's 2014, and my trend following system is on fire.
Every trade works. Winners run, losers get cut, and my account is climbing so fast I'm already mentally spending money I haven't made yet.
I remember thinking…
"This is it. I've cracked the code."
"Warren Buffett who?"
A few months later, the market decided to teach me some manners.
The clean, beautiful trends I was riding? Gone.
Replaced by the most frustra…
For four years, I looked for my edge in all the wrong places.
I hopped from Bollinger Bands to order flow to harmonic patterns like a man speed-dating strategies, hoping one of them would finally love me back.
I lost half my account doing this. And the painful part?
I wasn't stupid or lazy. I was working hard but in the wrong direction.
Because here's what nobody told me…
An edge isn't something you feel. It's s…
Chris Camillo had no finance degree. No Bloomberg terminal. No Wall Street connections.
Just an ordinary guy with $20k. And somehow this nobody turned that $20k into 8 figures, while outrunning the pros who do this for a living.
How did it happen?
When he began, Chris tried to beat Wall Street at their own game.
Same charts everyone stares at. Same indicators everyone uses.
Same earnings reports that 10,000 anal…
He turned $40,000 into over $20 million.
Won the 1984 U.S. Investing Championship.
And across the many trading contests he entered, he averaged 210% returns.
Not bad for a guy who lost money for 10 years straight.
This is the story of Marty Schwartz…
Now, Marty wasn't your average guy.
He had an MBA from Columbia and was a securities analyst at E.F. Hutton, flying around America, researching companies for a liv…
This strategy isn't working... time to find a better one.
How many times have you said that?
You've got a whole bunch of them by now.
· The breakout strategy from that YouTube guy.
· The moving average crossover you found on a forum.
· The supply-and-demand thing someone swore by.
Every time one hits a rough patch, you bin it and go chasing the next shiny object.
But here’s the thing…
You n…
Jesse Livermore made $100 million during the 1929 crash.
Then he lost everything.
Not because his strategy stopped working. Not because the markets changed.
But because he made one mistake that destroyed even the best traders.
Here’s his story…
They called him the Boy Plunger. He started trading at 14, and eventually, the bucket shops banned him because he kept taking their money.
In 1907, when the market panic…
Showing the 12 most recent of 28 posts we hold for @tradingwithrayner. 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.
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.
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 19 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.
TMA OFFICIAL® @TMAbyArty · 24,938 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 14 September 2026
Piranha Profits™ Online Trading School @piranhaprofits · 22,868 Telegram ranks this channel #4 of 82 here — alongside 81 others — read 19 September 2026
The Madras Trader (Official) @themadrastrader1 · 64,223 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 21 August 2026
A1 TRADING | Indices, Commodities, Forex, Futures @A1TradingFXAnalysis · 44,256 Telegram ranks this channel #38 of 88 here — alongside 87 others — read 28 August 2026
SGX Invest @sgxinvest · 25,177 Telegram ranks this channel #67 of 79 here — alongside 78 others — read 14 September 2026
Power Of Stocks @PowerOfStocks · 273,293 Telegram ranks this channel #71 of 89 here — alongside 88 others — read 10 August 2026
Dhan - Stock Trading & Investing @JoinDhan · 50,019 Telegram ranks this channel #73 of 91 here — alongside 90 others — read 25 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“The Real Rayner Teo” (@tradingwithrayner), 76,060 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/tradingwithrayner.
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.