JUST IN: $2,700 $ETH 🪙
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Channel
@odes_ai
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
353,076subscribers
+353,043 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 316,228–1,000,000.
| Telegram ID | -1001318057748 |
|---|---|
| Type | Channel |
| Username | @odes_ai |
| Description | The biggest trading community. Join and get free trading ideas every day. Instagram: https://www.instagram.com/odes_ai Facebook: https://www.facebook.com/odes.community 📍Cooperation/Promo - @tf_work |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/odes_ai |
Crypto & trading — 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 13 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 05:18 | 353,076 | -848 |
| 16 Sept 2026, 03:36 | 353,924 | -906 |
| 14 Sept 2026, 06:37 | 354,830 | -832 |
| 12 Sept 2026, 14:00 | 355,662 | -921 |
| 10 Sept 2026, 12:56 | 356,583 | -1,649 |
| 7 Sept 2026, 05:20 | 358,232 | -1,395 |
| 4 Sept 2026, 13:16 | 359,627 | -743 |
| 3 Sept 2026, 00:54 | 360,370 | -590 |
| 1 Sept 2026, 22:34 | 360,960 | -505 |
| 31 Aug 2026, 22:25 | 361,465 | -519 |
| 30 Aug 2026, 23:35 | 361,984 | -465 |
| 30 Aug 2026, 01:24 | 362,449 | -431 |
| 29 Aug 2026, 00:04 | 362,880 | -405 |
| 28 Aug 2026, 01:43 | 363,285 | -376 |
| 26 Aug 2026, 23:57 | 363,661 | -504 |
| 25 Aug 2026, 20:24 | 364,165 | -478 |
| 24 Aug 2026, 19:06 | 364,643 | -941 |
| 23 Aug 2026, 03:24 | 365,584 | -718 |
| 21 Aug 2026, 17:07 | 366,302 | -562 |
| 20 Aug 2026, 18:36 | 366,864 | first reading |
92 posts held, back to 29 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 77 pages of 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 21 September 2026 |
|---|---|
| Posts held | 92 (29 July 2026 – 21 September 2026) |
| Views total | 214,371 |
| Reactions total | 2,807 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Sept 2026, 06:34 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.
Lifetime counters from Telegram’s own channel header, read 21 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.
Measured directly from 7 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.
3,752 reactions across 92 posts, in 24 distinct kinds. The most used accounts for 48.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1,802 | 48.0% | |
| ❤ | 1,236 | 32.9% | |
| 👍 | 255 | 6.80% | |
| 😭 | 115 | 3.07% | |
| ⚡ | 73 | 1.95% | |
| 🤝 | 45 | 1.20% | |
| 🤯 | 38 | 1.01% | |
| 🐳 | 33 | 0.88% | |
| 🤩 | 25 | 0.666% | |
| 🤬 | 20 | 0.533% | |
| 🫡 | 17 | 0.453% | |
| 👀 | 16 | 0.426% | |
| 😨 | 16 | 0.426% | |
| 🏆 | 11 | 0.293% | |
| 🤓 | 11 | 0.293% | |
| 🍾 | 8 | 0.213% | |
| 👏 | 6 | 0.16% | |
| 👌 | 5 | 0.133% | |
| 🕊 | 5 | 0.133% | |
| 😍 | 5 | 0.133% | |
| 4 further kinds | 10 | 0.267% |
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 92 of the 92 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 3,752 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 92 most recent posts we hold, published 29 July 2026 to 21 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @odes_ai. 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 92 most recent posts we hold for this entry, published 29 July 2026 to 21 September 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.
JUST IN: $2,700 $ETH 🪙
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🐳 A whale linked to Matrixport transferred another 1,000 $BTC ($81.06M) to Binance What do you guys think, is this for a sell and are we about to see some volatility? 🔥 — this is for a sale ❤️ — this is just a regular redistribution 🔗 All useful info "click"
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🐳 Trader closed 26 winning trades in a row, had an 89% win rate across 47 trades, and made over $9M in net profit. But just one short position on ZEC wiped out all of his profits, and now he’s on the verge of liquidation. His $18.3M short is currently sitting at a $7.6M loss 🔽 Liquidation price: $1,550. You can follow it here Will he get liquidated? I think so. 🔥 — Liquidated ❤️ — No, he’ll make it out 🔗 All …
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🪙 BTC is back at $80,000 already
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🪙Now is the perfect time to talk about ETH 📈 Notice how price can’t break the key level at 2,549 per ETH. It has tested this level multiple times and keeps getting rejected. So I wouldn’t rule out the need for another reload. I think that reload could happen in the long interest zone, where we can build our long position with targets at the local high, and I wouldn’t rule out a test of the 3,000 level per ETH either…
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🎰 There are more short positions in the market right now 🔼 If BTC spikes to ~$85,000, short liquidations could exceed $4.76B. 🔽 If ETH spikes to ~$2,730, short liquidations could exceed $3.06B. ❗️Higher volatility is expected overnight due to the Japan news. What comes first? 🔥 — I’m bullish ❤️ — I’m bearish 🔗 All useful info "click"
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🐳 The largest ZEC shorter is sitting on an unrealized loss of -$28M. ❗️Liquidation price: $2,631 🔥 — He’s gonna get liquidated soon ❤️ — He’ll make money. 🔗 All useful info "click"
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🪙 Ethereum is leaving exchanges in large amounts as its price rises ↗️ ⚠️ ETH exchange reserves are dropping sharply as fewer coins remain available for immediate selling. 🔼 If demand continues to increase, the market could face a supply shortage, potentially accelerating the price increase. Do we believe in Ethereum going higher? Should we break down the chart? Let’s get 150 reactions and I’ll post the analysis. …
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🧠 The Crypto Investment Analyzer Prompt Before buying any coin, run it through this — it builds a full investment dashboard: final score, risk level, valuation, price momentum, tokenomics, catalysts, risks, and a scenario calculator with bullish/base/bearish targets. Prompt here 👇 Act as a senior crypto investment analyst. Research the latest available data for: [COIN] Create a beautiful, compact, interactive in…
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🪙My thoughts on btc haven’t changed. I think this corrective move will get bought up very quickly. We need to take advantage of that and monetize the move, targeting our weekly fractal at 82,800. And from there, I think the cascade of liquidations and the short squeeze will continue ↗️ Which asset should we look at next? 🔥 — Ethereum ❤️ — Solana 👍🏻 — XRP 🔗 All useful info "click"
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🇺🇸 The U.S. Federal Reserve raised the benchmark interest rate by 25 bps. The current rate is 4%. ❗️ FEDERAL RESERVE: 16 OFFICIALS PROJECT AT LEAST ONE MORE RATE HIKE IN 2026 🔗 All useful info "click"
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💪 Motivation of the day from CZ Are you buying? 🔥 — Yes, buying right now ❤️ — No, the bottom is still ahead 👍🏻 — Thanks, I’ve been buying for the last two years 🔗 All useful info "click"
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Showing the 12 most recent of 92 posts we hold for @odes_ai. 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.
@odes_ai edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
Named by 6 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.
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 13 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.
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.
This channel appears in 285 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“ODES → All about trading” (@odes_ai), 353,076 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/odes_ai.
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.