Weekly update 📊 We’ve finished the week with a solid +4.7% profit 3 out of 4 trading days closed profitable ✅ That now takes our account to +131.5% total profit since February 🚀 All achieved while sticking to strict risk management on every trade. No gambling, no crazy risk — just consistency and trusting the system 🤖📈

Channel
AlgoTrader
@AlgoTrader_MainOfficial
On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
221subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002478176612 |
|---|---|
| Type | Channel |
| Username | @AlgoTrader_MainOfficial |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 30 August 2026 |
| On Telegram | t.me/AlgoTrader_MainOfficial |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 05:58 | 221 | -1 |
| 8 Aug 2026, 10:32 | 222 | no change |
| 7 Aug 2026, 13:39 | 222 | first reading |
Engagement
4 posts held, back to 30 April 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 page of 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 4 posts for this entry, the most recent from 8 May 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
Another trade hit beautifully this morning 📊 This setup plays out so often, and we’re able to position ourselves ready for it every single time. And today… it delivered again. You’ll see the results across both small and large accounts — because consistency with strict risk management is the ONLY way to trade successfully 📈 No gambling. No account blowing strategies. Just a system designed to take money from the …
End of week roundup 📊 Another solid week in the books — +6% this week, bringing QuantX Core to +120% total profit 🚀 I’ve attached the monthly breakdown so you can see exactly how the system performs day to day: February: +21.8% 14 profitable/breakeven days 4 losing days March: +31.8% 19 profitable/breakeven days 1 losing day April: +36.4% 13 profitable/breakeven days 4 losing days This is what a real system loo…
Big move just closed and a full TP hit across the accounts 📊 A 1200 point move captured — exactly the kind of setup our EA is built for. Clean entry, let it run, and take everything the market gives. We were slightly down earlier this week — and this is the perfect example of how quickly things can turn. One day, one trade, and the whole week looks completely different. That’s why we stick to the system. No panic,…
Showing the 4 most recent of 4 posts we hold for @AlgoTrader_MainOfficial. 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
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.
Mentions
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@AlgoTrader_MainOfficial named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 5 posts, 9 August 2026 – 10 August 2026
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“AlgoTrader” (@AlgoTrader_MainOfficial), 221 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/AlgoTrader_MainOfficial.
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.