🚀 Bought 4719700000 FEG for 0.009 BNB on PancakeSwap 🟢 1M FEG = $0.00056635 1 BNB = 524410 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart

Channel
UniRocket FEG
@UniRocket_bFEG
On this record: Growth · Engagement · Posts · Cite this entry
877subscribers
-8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001268905717 |
|---|---|
| Type | Channel |
| Username | @UniRocket_bFEG |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/UniRocket_bFEG |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 02:46 | 877 | -4 |
| 15 Aug 2026, 05:59 | 881 | -4 |
| 6 Aug 2026, 23:01 | 885 | no change |
| 6 Aug 2026, 22:54 | 885 | first reading |
Engagement
20 posts held, back to 27 May 2022 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 27 May 2022. An engagement rate over an empty window would be a number about nothing.
Recent posts
🚀 Bought 5984400000 FEG for 0.011411 BNB on PancakeSwap 🟢 1M FEG = $0.00056632 1 BNB = 524440 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 141120000000 FEG for 0.269 BNB on PancakeSwap 🟢 1M FEG = $0.00056614 1 BNB = 524610 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 15743000000 FEG for 0.03 BNB on PancakeSwap 🟢 1M FEG = $0.00056597 1 BNB = 524760 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 400000000 FEG for 0.0007622 BNB on PancakeSwap 🟢 1M FEG = $0.00056593 1 BNB = 524800 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 14708000000 FEG for 0.028025 BNB on PancakeSwap 🟢 1M FEG = $0.00056591 1 BNB = 524820 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 131250000000 FEG for 0.25 BNB on PancakeSwap 🟢 1M FEG = $0.00056571 1 BNB = 525000 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 131320000000 FEG for 0.25 BNB on PancakeSwap 🟢 1M FEG = $0.00056541 1 BNB = 525280 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 1000000000 FEG for 0.0019031 BNB on PancakeSwap 🟢 1M FEG = $0.00056522 1 BNB = 525460 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
🚀 Bought 2101800000 FEG for 0.004 BNB on PancakeSwap 🟢 1M FEG = $0.00056523 1 BNB = 525450 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
👹 Sold 92725000000 FEG for 0.17562 BNB on PancakeSwap 🔴 1M FEG = $0.00056251 1 BNB = 527990 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
👹 Sold 152650000000 FEG for 0.28976 BNB on PancakeSwap 🔴 1M FEG = $0.00056187 1 BNB = 526810 FEG 🥞 Buy FEG | 📶 Tx Hash | 📈 Chart
Showing the 12 most recent of 20 posts we hold for @UniRocket_bFEG. 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.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“UniRocket FEG” (@UniRocket_bFEG), 877 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/UniRocket_bFEG.
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.