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
32 measurements spanning 35 days, net -700. 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 76,072–76,982 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
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
-27
20 Aug 2026, 06:12
76,602
-22
19 Aug 2026, 08:35
76,624
-36
18 Aug 2026, 07:43
76,660
-19
17 Aug 2026, 09:44
76,679
first reading
Engagement
22 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.4%
avg views ÷ 76,177 subscribers
Avg views / post
9,440
2 posts measured
Reaction rate
0.842%
reactions ÷ views · ER floor
Posts in window
2
of 22 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 5 September 2026
Posts held
22 (22 December 2025 – 5 September 2026)
Views total
18,880
Reactions total
159
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Sept 2026, 08:04 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 12 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
4,481 reactions across 22 posts, in 5 distinct kinds. The most used accounts for 53.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,403
53.6%
👍
1,129
25.2%
🔥
480
10.7%
🤣
448
10.00%
👎
21
0.469%
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 22 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 4,481 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 22 December 2025 to 5 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.
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…
Here’s my trading result for this year…
YTD return: 21.33%
All-time return: 400.65%
In March, the stock market declined 10%, and this triggered an exit for most of my stock positions.
It turned out to be a false breakdown as the market rallied 17% of the lows.
Because of this rally, my trading system is bullish again, and needed to buy the stocks I sold earlier, albeit at a much higher price.
As you can tell, t…
If trading is 80% psychology, why aren't monks rich?
If trading is about discipline, soldiers would rule Wall Street.
If risk management alone worked, no one would blow up their account.
So clearly, something is missing...
And here's what most "experts" won't tell you...
Discipline is the last thing you should work on.
I know. Every trading guru and their grandmother says:
"You must be disciplined!"
I can rel…
AI might be the most dangerous tool for traders right now.
Not because AI is bad.
But because it can make bad trading look incredibly smart—like putting a suit on my 5-year-old and calling him a CEO.
With AI, you can now ask questions like:
“Give me a profitable trading system.”
And instantly you’ll get something like:
• Buy when the 50MA crosses above the 200MA.
• Sell when the price closes below the 200-day m…
Most traders rely on opinions, predictions, and gut feel.
That’s why their results are inconsistent.
Professional traders do things differently.
They use rule-based trading strategies backed by data.
So I’ve created a free training where I show you 3 proven trading strategies backed by 25 years of historical testing.
You’ll discover:
1. A mean reversion strategy that produced 2834% over 25 years
2. A futures tr…
AI won’t make you profitable.
Why?
AI learns from the internet.
And most trading advice online is garbage.
So AI just gives you better-written garbage.
🤣223👍87❤52🔥21👎6
Showing the 12 most recent of 22 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.
The Madras Trader (Official) @themadrastrader1 · 64,595 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 21 August 2026
A1 TRADING | Indices, Commodities, Forex, Futures @A1TradingFXAnalysis · 43,949 Telegram ranks this channel #38 of 88 here — alongside 87 others — read 28 August 2026
Power Of Stocks @PowerOfStocks · 274,894 Telegram ranks this channel #71 of 89 here — alongside 88 others — read 10 August 2026
Dhan - Stock Trading & Investing @JoinDhan · 49,957 Telegram ranks this channel #73 of 91 here — alongside 90 others — read 25 August 2026
This channel appears in 4 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.
“The Real Rayner Teo” (@tradingwithrayner), 76,177 subscribers as measured 10 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.