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Channel

Hyperliquid Big Trades Feed

@hyperliquid_feed

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,714subscribers

-155 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001402256862
TypeChannel
Username@hyperliquid_feed
CreatedBetween 1 October 2018 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/hyperliquid_feed

Topic

Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

8,7148,8698,791.56 August 2026 — 8,869 subscribers6 August 2026 — 8,869 subscribers7 August 2026 — 8,859 subscribers10 August 2026 — 8,840 subscribers13 August 2026 — 8,824 subscribers16 August 2026 — 8,811 subscribers20 August 2026 — 8,795 subscribers23 August 2026 — 8,788 subscribers27 August 2026 — 8,781 subscribers29 August 2026 — 8,762 subscribers2 September 2026 — 8,755 subscribers7 September 2026 — 8,742 subscribers11 September 2026 — 8,727 subscribers15 September 2026 — 8,714 subscribers6 August 202615 September 2026
14 measurements spanning 40 days, net -155. 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 8,691–8,892 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 15:388,714-13
11 Sept 2026, 22:158,727-15
7 Sept 2026, 11:218,742-13
2 Sept 2026, 05:058,755-7
29 Aug 2026, 22:148,762-19
27 Aug 2026, 00:038,781-7
23 Aug 2026, 22:168,788-7
20 Aug 2026, 08:148,795-16
16 Aug 2026, 21:378,811-13
13 Aug 2026, 03:148,824-16
10 Aug 2026, 06:178,840-19
7 Aug 2026, 07:228,859-10
6 Aug 2026, 09:318,869no change
6 Aug 2026, 09:298,869first reading

Engagement

173 posts held, back to 2 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 29 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.68%
avg views ÷ 8,714 subscribers
Avg views / post
146
50 posts measured
Reaction rate
0.926%
reactions ÷ views · ER floor
Posts in window
50
of 173 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. It is computed over the 1 of 50 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 August 2026
Posts held173 (2 July 202625 August 2026)
Views total7,303
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 16:17 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.

Reaction mix

7 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
685.7%
🐳114.3%

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 9 of the 173 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 173 most recent posts we hold, published 2 July 2026 to 25 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.

Recent posts

25 Aug 2026, 10:08 UTC147 viewsread 28 August 2026

GOAT/USDC [Hyperliquid] Big Whales Buy Activity ✳ 17 whale trades in the rolling window 1.2M GOAT have been bought 💰Price: 0.0174 USDC (0.50%) 🚨Order Size: 20.9K USDC (5.64%) ⏳Duration: 14 minutes 📊24h Vol: 370.69K USDC

25 Aug 2026, 08:09 UTC160 viewsread 28 August 2026

S/USDC [Hyperliquid] Big Whales Buy Activity ✳ 3 whale trades in the rolling window 64.57M S have been bought 💰Price: 0.0296 USDC (13.77%) 🚨Order Size: 1.68M USDC (460.05%) ⏳Duration: 9 seconds 📊24h Vol: 365.72K USDC

25 Aug 2026, 07:49 UTC160 viewsread 28 August 2026

RENDER/USDC [Hyperliquid] Big Whales Sell Activity 🔴 3 whale trades in the rolling window 21.42K RENDER have been sold 💰Price: 1.52 USDC (0.99%) 🚨Order Size: 32.36K USDC (5.84%) ⏳Duration: 8 seconds 📊24h Vol: 553.98K USDC

25 Aug 2026, 07:43 UTC145 viewsread 28 August 2026

STBL/USDC [Hyperliquid] Big Whales Buy Activity ✳ 21 whale trades in the rolling window 958.18K STBL have been bought 💰Price: 0.0252 USDC (1.00%) 🚨Order Size: 24.13K USDC (5.41%) ⏳Duration: 9 minutes 📊24h Vol: 446.36K USDC

25 Aug 2026, 06:01 UTC130 viewsread 28 August 2026

CHIP/USDC [Hyperliquid] Big Whales Sell Activity 🔴 27 whale trades in the rolling window 2.25M CHIP have been sold 💰Price: 0.0345 USDC (2.23%) 🚨Order Size: 76.81K USDC (5.02%) ⏳Duration: 10 minutes 📊24h Vol: 1.53M USDC

25 Aug 2026, 06:00 UTC121 viewsread 28 August 2026

ALGO/USDC [Hyperliquid] Big Whales Sell Activity 🔴 26 whale trades in the rolling window 311.51K ALGO have been sold 💰Price: 0.0948 USDC (0.58%) 🚨Order Size: 29.5K USDC (5.41%) ⏳Duration: 13 minutes 📊24h Vol: 544.84K USDC

25 Aug 2026, 05:49 UTC105 viewsread 28 August 2026

MELANIA/USDC [Hyperliquid] Big Whales Buy Activity ✳ 14 whale trades in the rolling window 471.5K MELANIA have been bought 💰Price: 0.107 USDC (-3.34%) 🚨Order Size: 51.57K USDC (5.23%) ⏳Duration: 14 minutes 📊24h Vol: 985.34K USDC

25 Aug 2026, 05:46 UTC101 viewsread 28 August 2026

PENDLE/USDC [Hyperliquid] Big Whales Sell Activity 🔴 64 whale trades in the rolling window 73.1K PENDLE have been sold 💰Price: 1.83 USDC (1.08%) 🚨Order Size: 133.11K USDC (5.25%) ⏳Duration: 14 minutes 📊24h Vol: 2.54M USDC

25 Aug 2026, 04:29 UTC102 viewsread 28 August 2026

LDO/USDC [Hyperliquid] Big Whales Sell Activity 🔴 17 whale trades in the rolling window 487.58K LDO have been sold 💰Price: 0.379 USDC (1.18%) 🚨Order Size: 184.49K USDC (5.00%) ⏳Duration: 11 minutes 📊24h Vol: 3.69M USDC

25 Aug 2026, 02:33 UTC101 viewsread 28 August 2026

POPCAT/USDC [Hyperliquid] Big Whales Buy Activity ✳ 13 whale trades in the rolling window 637.88K POPCAT have been bought 💰Price: 0.0633 USDC (-1.49%) 🚨Order Size: 40.33K USDC (5.09%) ⏳Duration: 3 minutes 📊24h Vol: 792.54K USDC

24 Aug 2026, 17:32 UTC116 viewsread 28 August 2026

JUP/USDC [Hyperliquid] Big Whales Buy Activity ✳ 94 whale trades in the rolling window 733.72K JUP have been bought 💰Price: 0.202 USDC (-2.74%) 🚨Order Size: 149.33K USDC (5.02%) ⏳Duration: 10 minutes 📊24h Vol: 2.98M USDC

24 Aug 2026, 16:53 UTC116 viewsread 28 August 2026

STX/USDC [Hyperliquid] Big Whales Buy Activity ✳ 28 whale trades in the rolling window 556.51K STX have been bought 💰Price: 0.227 USDC (-3.05%) 🚨Order Size: 127.11K USDC (5.04%) ⏳Duration: 14 minutes 📊24h Vol: 2.52M USDC

Showing the 12 most recent of 173 posts we hold for @hyperliquid_feed. 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.

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.

Whale Hunter | CoinTrendz.com
@cointrendz_whalehunter · 24,198
Telegram ranks this channel #5 of 73 here — alongside 72 others — read 16 September 2026
Coin Sonar V2
@CoinSonarV2 · 26,584
Telegram ranks this channel #10 of 75 here — alongside 74 others — read 12 September 2026
WhaleBot Alerts 🐳
@whalebotalerts · 144,669
Telegram ranks this channel #50 of 96 here — alongside 95 others — read 13 August 2026
Whale Sniper
@WhaleSniper · 60,264
Telegram ranks this channel #57 of 96 here — alongside 95 others — read 22 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Hyperliquid Big Trades Feed” (@hyperliquid_feed), 8,714 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/hyperliquid_feed.

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.