Channel
@learning_DEPFLY
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
583subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002508925705 |
|---|---|
| Type | Channel |
| Username | @learning_DEPFLY |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/learning_DEPFLY |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 07:49 | 583 | -2 |
| 16 Aug 2026, 20:45 | 585 | -1 |
| 8 Aug 2026, 03:19 | 586 | no change |
| 7 Aug 2026, 17:08 | 586 | first reading |
9 posts held, back to 10 June 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 6 August 2026 |
|---|---|
| Posts held | 9 (10 June 2026 – 6 August 2026) |
| Views total | 35 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:19 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.
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 66.7% | |
| 🔥 | 1 | 33.3% |
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 5 of the 9 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 10 June 2026 to 6 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.
📈Inverted Head and Shoulders The Inverted Head and Shoulders is a bullish reversal pattern that usually appears after a downtrend. It shows that sellers are losing momentum while buyers are gradually taking control. How to identify it? ✔️ The market should already be in a downtrend. ✔️The pattern forms three lows: Left Shoulder Lower Head Right Shoulder ✔️ Draw a Neckline by connecting the swing highs. When to …
Support and Resistance Levels: How to Identify Them When Trading Binary Options Trading binary options requires not only intuition but also a deep understanding of market mechanisms. One of the key tools for market analysis is support and resistance levels. 👆 In the images above, we will look at what they are, how to identify them, and how to use them in your trading. 🛬 Telegram | 📚 LRN | 👥 REVIEWS
How to Start Trading Binary Options from Scratch Trading binary options may seem like a difficult task, especially if you’re starting from zero. However, with the right approach and strategy, you can master this type of trading and start making money 💸 👆 In the images above, I’ve outlined a step-by-step guide to help you get started. 🛬 Telegram | 📚 LRN | 👥 REVIEWS
🔥1
Flag Pattern 🕯 A Flag Pattern is more than just a shape on the chart. It often shows that after a strong move, the market takes a short pause before a possible continuation of the trend. 📈 The biggest mistake beginners make is entering as soon as they see the flag. 1️⃣ First, look at what happened before it. A real Flag almost always appears after a strong impulse. If there wasn’t a clear move before the pattern, …
❤1
Ascending Triangle — when buyers keep pushing 🕯 💡 Ascending Triangle is a pattern where price keeps pressing into the same resistance level, while the lows become higher and higher. 📈 It means buyers are becoming more active. Every time price falls down, it doesn’t go as deep as before. Someone keeps buying earlier, and pressure slowly builds under resistance. Usually it looks like this: price touches resistance s…
Bull Trap — when the market makes UP look too easy 🕯 Bull trap is a setup where price breaks resistance, looks strong for a moment, pulls buyers into the market… and then quickly returns back under the level. ⭐ For beginners it usually feels obvious: big green candle, resistance broken, market is moving UP. So they click after the move, not before it. And that’s the problem — they enter when the first impulse is al…
Retest — when the market checks the level again 🕯 A breakout is not always the moment to enter. Sometimes price breaks a level too fast, and if you jump in immediately, you can get a bad entry or enter right before a pullback. That’s why I like retest. Retest happens when price breaks support or resistance, then comes back to the same zone and checks if the level still matters. Old resistance can become new support…
False Breakout — when the market tricks the crowd 📊 False breakout happens when price breaks a support or resistance level, makes everyone believe the move has started… and then comes back.🔴 For beginners it looks very convincing. Price breaks resistance — they click UP.↗️ Price breaks support — they click DOWN. 📉 But a few candles later price returns back, and the trade already looks stupid 😄 Usually this happen…
❤1
Double Bottom — when price hits the floor twice 🕯 Double Bottom is a pattern where price comes to the same support zone two times and fails to break lower. 1️⃣First touch: sellers push the market down, but buyers stop the fall. Price goes up a bit. 2️⃣ Second touch: sellers try again… but if price still can’t go lower, buyers may start taking control. For beginners it often looks like: “Oh, price touched the botto…
Showing the 9 most recent of 9 posts we hold for @learning_DEPFLY. 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 — 252,223 of 1,626,935entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“Learning - Depfly” (@learning_DEPFLY), 583 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/learning_DEPFLY.
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.