Channel
@Btmmb
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
613subscribers
-1 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001765234119 |
|---|---|
| Type | Channel |
| Username | @Btmmb |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/Btmmb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:45 | 613 | -1 |
| 14 Aug 2026, 21:02 | 614 | first reading |
20 posts held, back to 1 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 20 (1 July 2026 – 14 August 2026) |
| Views total | 2,496 |
| Reactions total | 41 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 21:02 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.
73 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 76.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 56 | 76.7% | |
| 👏 | 6 | 8.22% | |
| 🔥 | 6 | 8.22% | |
| 👍 | 3 | 4.11% | |
| 💯 | 1 | 1.37% | |
| 🤝 | 1 | 1.37% |
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 20 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 73reactions 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 1 July 2026 to 14 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.
⚔️ THE SWORD & SHIELD — A Trading Lesson In ancient wars, soldiers carried: 🛡 A heavy, strong shield ⚔️ A light, quick sword And they won battles — not by striking hard once — but by striking many times with precision. I used to ask myself: "Why a light sword? Wouldn't a heavy one be more powerful?" Until I realized the truth: A HEAVY SWORD: ✅ Has more power ✅ Can kill with one blow ❌ Takes time to lift ❌ Drains…
❤1
Signed BOE MOUSE
🛡 RISK MANAGEMENT — The Real Secret to Survival Most traders ask: "What's the best strategy? What's the best entry?" But the REAL question is: "How much am I willing to lose?" 📌 Here's the truth: You can have a terrible strategy and survive if you manage risk well. You can have the BEST strategy and blow up if you don't. Risk management isn't optional. It's the ONLY thing standing between you and zero. 🎯 THE GO…
❤3💯1
Signed BOE MOUSE
🔥 THE 4 PILLARS OF TRADING SUCCESS — PART 1 Let me ask you something: Why do you REALLY trade? Not the surface answer. The deep one. 📌 YOUR SOUL — The Foundation Your soul is your WHY. Your desires. Your dreams. Your reason for getting up every day. Without a strong soul: ❌ You quit when it gets hard ❌ You revenge trade after losses ❌ You have no purpose behind your screen With a strong soul: ✅ You stay commit…
❤4
Signed BOE MOUSE
New week is around the corner and the trend is clear. Bullish momentum is still dominating this market. Look at the mid-structure consolidation. The market makers engineered a false floor, trapped the early FOMO buyers, and then delivered a violent stop hunt to sweep the liquidity pool. This entire stop hunt sequence gave us a textbook outside structure Peak Formation Low. The TDI tells the whole story. The first l…
❤2
Signed BOE MOUSE
The narrative is clear. The moment the Dollar hit its key invalidation level, the bearish view flipped, paving the way for this massive EURUSD rally. The turning point was beautifully engineered at the bottom left structure. The TDI was pinned at the absolute extreme low, indicating that the down move was entirely out of gas. To lock in late sellers, the market makers executed a classic trap, driving price down one …
❤4
Signed BOE MOUSE
Missed the move? No, I protected capital. Look at Gold. I wanted a deeper pullback to the recent low before the push, but the market makers front-ran the zone and launched it straight to the upside without me. My bias was wrong, yet my account is 100% safe because no entries were forced. Amateurs FOMO into a running trade and get slaughtered. Grounded traders sit back, let it go, and wait for the next clean setup. D…
❤3🔥2🤝1
Signed BOE MOUSE
While many traders overcomplicate their charts and miss the obvious institutional moves. Look at NAS100 right now. It boils down to a fundamental market cycle: Push, Pullback, Push. Here is what the blueprint is showing us: The Impulse Move: We witnessed a strong, aggressive push to the upside. Whether you classify this as a brand new level or an institutional daily reset, the structural momentum is undeniably bull…
❤2👍1
Signed BOE MOUSE
The puzzle on the H4 chart is now complete. The correction trapping mechanism before the stop hunt zone has officially revealed itself through this wedge / double volume trapping pattern. You can see how beautifully the market makers are holding price under the higher EMAs while compressing the recent price action. This is designed to trick retail traders into taking early positions before the real move happens. Th…
❤3
Signed BOE MOUSE
Most retail traders fail because they lack an institutional roadmap. To consistently profit, you must view the market through the lens of the Market Maker Method (BTMM). Retail indicators lag behind, but understanding institutional movement allows you to anticipate market reversals before they happen. My daily technical framework relies heavily on the Traders Dynamic Index (TDI) to filter out market noise, avoid tra…
❤3👏1
Signed BOE MOUSE
The blueprint has delivered. No second-guessing, no panic—just the straightforward execution of our core system rules. Look at the chart now after our previous breakdown. Price is in freefall, dropping lower and lower. The entire structure unfolded exactly as planned: accumulation, a swift stop hunt to grab liquidity, and a confirmed peak formation to seal the top. It is moving like a falling knife now, and we just …
❤2
Signed BOE MOUSE
This is the textbook textbook pattern playing out right in front of us: a clean accumulation phase, followed by a violent stop hunt on the higher timeframe that forms an extended peak at the recent high level, and then boom—the market aggressively drops. While you read about these setups in books, seeing them live in action is a completely different game. On paper, you train your eyes to look for a flawless, aesthet…
❤4
Signed BOE MOUSE
Right now, the markets are completely boring—just moving up and down with absolutely no clear structural momentum to confirm a direction. This is exactly the phase where weak traders start to get deeply frustrated. Out of pure boredom, they begin forcing trades, trying to look for random variables completely outside their edge just to make the market move. And guess what? That is exactly what the Market Maker wants.…
❤4
Signed BOE MOUSE
Showing the 12 most recent of 20 posts we hold for @Btmmb. 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.
Citation-graph rank — 1,332,431 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“BTMM” (@Btmmb), 613 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Btmmb.
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.