Channel
@algocrat
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
1,612subscribers
-48 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002092428606 |
|---|---|
| Type | Channel |
| Username | @algocrat |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 1 November 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 1 November 2026 |
| On Telegram | t.me/algocrat |
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 17 September 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Nov 2026, 23:46 | 1,612 | -2 |
| 29 Oct 2026, 20:36 | 1,614 | -3 |
| 26 Oct 2026, 23:28 | 1,617 | -2 |
| 24 Oct 2026, 00:36 | 1,619 | -3 |
| 21 Oct 2026, 07:56 | 1,622 | -3 |
| 18 Oct 2026, 12:47 | 1,625 | -2 |
| 15 Oct 2026, 14:09 | 1,627 | -3 |
| 12 Oct 2026, 14:21 | 1,630 | -3 |
| 5 Oct 2026, 19:21 | 1,633 | -4 |
| 28 Sept 2026, 11:37 | 1,637 | -1 |
| 19 Sept 2026, 04:16 | 1,638 | -4 |
| 14 Sept 2026, 10:00 | 1,642 | -4 |
| 10 Sept 2026, 23:18 | 1,646 | -3 |
| 6 Sept 2026, 02:16 | 1,649 | -1 |
| 1 Sept 2026, 20:05 | 1,650 | -3 |
| 30 Aug 2026, 03:26 | 1,653 | -1 |
| 27 Aug 2026, 06:03 | 1,654 | -1 |
| 20 Aug 2026, 19:36 | 1,655 | -4 |
| 17 Aug 2026, 10:57 | 1,659 | -1 |
| 7 Aug 2026, 01:10 | 1,660 | first reading |
10 posts held, back to 9 February 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 2 pages 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 10 posts for this entry, the most recent from 2 June 2026. An engagement rate over an empty window would be a number about nothing.
🔍 FX Brokers vs Binance: What Works Best In 2026 One question dominates Algocrat AI's conversations: should you trade crypto on traditional FX brokers like IC Markets or stick with crypto exchanges like Binance? For hedge funds managing large sums, the answer remains crystal clear — crypto exchanges offer unmatched liquidity. But for retail traders? The landscape has completely shifted. The Great Reversal of 202…
🧭 What’s Next: New Track Record + Precision Accounts [2 of 3] As we explained in our previous post, our analysis made one thing clear: Pepperstone is no longer suitable for our crypto trading infrastructure. So we’re making a decisive shift. We are now strengthening our partnership with IC Markets, the broker that consistently delivered the best execution in our analysis. To start: We are moving our main track…
🧐 Why our 2025 track record underperformed reality Over the past several months, we’ve been conducting a deep execution analysis across our trading infrastructure at Algocrat AI. What we found explains why, last year, our public track record appeared significantly worse than what many clients actually experienced. The Discovery We analyzed performance across Pepperstone, IC Markets, and Fusion Markets. We select…
📈 64.81% In 90 Days [Q1 Performance Report] The first quarter of 2026 is officially in the books, and we're thrilled to share the exceptional results we got at Algocrat AI. After the foundational work we completed throughout 2025—refining our algorithms, enhancing risk management, and strengthening our infrastructure—these numbers represent the payoff our long-term traders have been waiting for. Legacy Portfolio P…
✨ AI bubble or not, this window won't last forever We recently discussed the AI bubble and how venture capital is heavily subsidizing tools like Claude and OpenAI Codex. This creates a rare opportunity where users get massive productivity gains at artificially low prices. Whether there's a bubble or not, it makes sense to use these tools to their fullest potential right now. The Reliability Problem Is Disappearin…
❓Is there an AI bubble, and will It pop? (here's the math) What is an AI bubble burst? Ask 10 people, and you'll get 11 opinions. However, for the purposes of this post, we'll call it a significant, sustained drop in the valuations of leading AI-related companies, supported by official price data and major news outlets Now, let's see what people are most worried about. The first concern among many investors is t…
🤨 ATH Portfolios, But Negative Sentiment? (The Paradox) January and February were marked by strong performance in both the Legacy and Nova Algocrat AI portfolios. However, within the Algocrat AI community, the sentiment has been mostly negative recently. Why are people often upset even though both portfolios are at an all-time high and are profitable? The Negativity Bias There are two practical reasons for this.…
🆚 Nova vs Legacy: The number's dont lie [Performance Analysis] Recently, our Legacy portfolio reached an all-time high, riding January's trends. In this short burst, it outperformed everything else, including our Nova portfolio. However, a system's performance can't be measured by just 1 or 2 months of trading. To do that reliably, we need at least 6 months of live results or more. So, let's compare the Nova and…
📉 What 13 major BTC crashes tell us about what's next [Market Analysis] After the last post, many people wondered: what does BTC usually do after a move like this? Nobody can fully predict the future, but we can look for similar historical events and see what happened next. For reference: we'll use Binance Futures data for the purposes of this research post. Futures are useful here because liquidation-driven move…
💥 Big Crash. No Panic. [Market Analysis] "Why aren't you trading the latest trends at Algocrat AI?" That's the question we've been asked most recently. Why everyone's asking that: After reaching an all-time high just a week ago for both the Algocrat AI's Legacy and Nova portfolios, we witnessed wild market movements unlike anything we've seen in a long time. We've seen a generation of market participants grow up…
Showing the 10 most recent of 10 posts we hold for @algocrat. 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.
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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.
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 1 November 2026 — this entry's latest reading, not the date you are reading this.
“Algocrat AI” (@algocrat), 1,612 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/algocrat.
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.