Channel
@dmitrievskyai
On this record: Growth · Engagement · Reactions · Posts · Cite this entry
313subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001277607399 |
|---|---|
| Type | Channel |
| Username | @dmitrievskyai |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/dmitrievskyai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 05:48 | 313 | +1 |
| 15 Aug 2026, 09:25 | 312 | -2 |
| 7 Aug 2026, 01:02 | 314 | no change |
| 7 Aug 2026, 00:38 | 314 | first reading |
19 posts held, back to 24 June 2025 — 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 19 posts for this entry, the most recent from 26 July 2026. An engagement rate over an empty window would be a number about nothing.
144 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 51.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 74 | 51.4% | |
| ❤ | 39 | 27.1% | |
| 🔥 | 26 | 18.1% | |
| 👏 | 3 | 2.08% | |
| 🥰 | 2 | 1.39% |
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 17 of the 19 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 144reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 24 June 2025 to 26 July 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.
Подготовил для вас эссе на тему информативной разметки сделок с использованием кластеризации. I have prepared an essay for you on the topic of informative transaction labeling using clustering.
👍6👏2
Signed Max
In the code from the clustering articles, you can replace the clustering() function with this new one, which performs Wasserstein clustering. You can experiment with all my articles that use clustering.
👍7🥰1
Signed Max
An interesting article: Market Regime Detection: From Hidden Markov Models to Wasserstein Clustering. Later, I will revise my approaches and replace HMM and classic k-means with this type of clustering.
❤8🔥1
Signed Max
https://www.mql5.com/en/articles/17755
❤5🔥2
Signed Max
https://www.mql5.com/en/articles/17654
👍4❤1
Signed Max
My article on mean reversion strategies was published in English. https://www.mql5.com/en/articles/16457
👍10❤1
Signed Max
I translated the article about causal machine learning in unidirectional gold trading. https://medium.com/@dmitrievsky/machine-learning-in-unidirectional-trend-trading-the-case-of-gold-26fe1f666c9d
👍8❤3🥰1
Signed Max
I translated the article about a quick strategy tester, since it has not yet been translated on the site. Then the main useful articles will be translated, including new ones. I also left the MQL5 website. https://medium.com/@dmitrievsky/a-quick-tester-of-trading-strategies-in-python-using-numba-0b62fda7d72d
❤7👍4👏1
Signed Max
Вот сам бот, кто хочет потестировать. Довольно стабильный, но иногда с просадками. Here is the bot itself, who wants to test it. Quite stable, but sometimes with drawdowns.
👍5🔥2
Signed Max
Попробовал сделать обучение для AUDCAD М15 по этой статье: https://www.mql5.com/ru/articles/16457 Тоже получаются неплохие торговые системы. Так что перебор торговых символов всегда актуален. I tried to make a training for AUDCAD M15 using this article: https://www.mql5.com/ru/articles/16457 They also make good trading systems. So rechecking trading symbols is always relevant.
👍8
Signed Max
Dmitrievsky AI pinned a photo
"Buy me a coffee" if you want to support research. "Купить мне кофе" если хотите поддержать исследования. Teleram USDT TRC20 wallet: TWnZaMYpq72j8CGnaa4mt7wG6p1xMyHVT1
Signed Max
Showing the 12 most recent of 19 posts we hold for @dmitrievskyai. 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.
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.
“Dmitrievsky AI” (@dmitrievskyai), 313 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/dmitrievskyai.
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.