Канал об Инвестициях, Трейдинге и Жизни Дмитрия Солодина.
Youtube: youtube.com/user/uptrader/
Блог: boosty.to/solodin
ФинПрокачка: dsolodin.ru/finpro
ТехПрокачка: dsolodin.ru/techpro
ОпционПрокачка: dsolodin.ru/options
Обратная Связь: @gtsupport
Created
22 October 2015 — measured — dated from the channel’s first post
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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.
Previous handles
Recorded in 2019 as “GOODTRADERS” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 6,139 comparable posts for this entry, running 23 October 2015 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 3, the earliest publisher we hold is @goodtraders — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
32 measurements spanning 44 days, net -278. 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 44,993–45,355 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 12:16
45,035
-10
16 Sept 2026, 01:18
45,045
-12
14 Sept 2026, 06:37
45,057
-16
12 Sept 2026, 14:57
45,073
-12
10 Sept 2026, 11:57
45,085
-12
7 Sept 2026, 09:16
45,097
+14
4 Sept 2026, 17:19
45,083
-12
3 Sept 2026, 02:06
45,095
-4
2 Sept 2026, 01:06
45,099
-10
31 Aug 2026, 21:45
45,109
-9
30 Aug 2026, 20:44
45,118
-1
29 Aug 2026, 22:53
45,119
-11
28 Aug 2026, 19:35
45,130
-10
25 Aug 2026, 22:55
45,140
+3
24 Aug 2026, 22:44
45,137
-14
23 Aug 2026, 07:38
45,151
-6
21 Aug 2026, 19:03
45,157
-6
20 Aug 2026, 16:07
45,163
-10
19 Aug 2026, 17:25
45,173
-7
18 Aug 2026, 20:44
45,180
first reading
Engagement
9,056 posts held, back to 22 October 2015 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 625 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
39.0%
avg views ÷ 45,035 subscribers
Avg views / post
17,600
17 posts measured
Reaction rate
1.91%
reactions ÷ views · ER floor
Posts in window
17
of 9,056 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 25 September 2026
Posts held
9,056 (22 October 2015 – 25 September 2026)
Views total
298,720
Reactions total
5,707
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 21:12 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.
What this channel posts
Photos
≈4,770
Videos
≈107
Links
≈2,820
Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 52s
Average length
57s
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
16,279 reactions across 54 posts, in 15 distinct kinds. The most used accounts for 51.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
8,345
51.3%
🔥
2,744
16.9%
😁
1,735
10.7%
❤
1,148
7.05%
🤯
520
3.19%
🤔
348
2.14%
✍
334
2.05%
🤷♂
296
1.82%
😢
249
1.53%
💯
172
1.06%
👀
163
1.00%
👏
98
0.602%
🫡
91
0.559%
👌
21
0.129%
🙏
15
0.092%
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 1,000 of the 1,000 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 302,108 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 18 October 2024 to 25 September 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.
Telegram Stars
Stars received
288
across the posts below
Posts paid on
20
of 1,000 we hold a reading for · 2%
Most on one post
252
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @goodtraders. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 18 October 2024 to 25 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#GOOGL
Да, у Google прибыль рекордная, все в восторге…
🤔Только вот в чём прикол: если посмотреть на денежные потоки Alphabet за последние 12 месяцев, то из ~$244 млрд чистой прибыли больше половины (около $151 млрд) — это не бизнес, а переоценка инвестиционного портфеля.
👉 То есть буквально: Google открыла Excel, обновила котировки своих долей в Anthropic и SpaceX — и вуаля, «заработала» дополнительно сотню миллиа…
🇺🇸 #макро
👆 На графике — отношение маржинального долга инвесторов к денежной массе M2.
Маржинальный долг — это деньги, которые инвесторы занимают у брокеров для покупки акций. M2 здесь выступает грубым показателем количества денег в финансовой системе. Поэтому график показывает не просто рост долга, а насколько агрессивно инвесторы используют заемные деньги относительно общей ликвидности.
🔴 Сейчас показатель наход…
#ПрямойЭфир #ИнвестГРОГ
Сегодня будет короткий ГРОГ - всего на один час. Буквально несколько слайдов по теме - и ответы на ваши вопросы.
К сожалению очень много работы в последнее время ((
Начало в 20-00 мск:
📌 ССЫЛКА НА ГРОГ
#мошенники #банки
Revolut передал мошенникам персональные данные клиентов
⚡️ Британский необанк Revolut передал мошенникам персональные данные клиентов, приняв фальшивый запрос от государственного органа за настоящий, сообщило агентство Reuters.
В банке рассказали агентству, что письмо пришло с электронного адреса, который действительно использовался соответствующей госструктурой, но был взломан мошенниками. Прове…
#AAPL
👆 Если это диагональ как я нарисовал - возможно это лучшая точка для шорта в ближайшее время.
*Не является инвест рекомендацией - автор не знимает по этому активу никакой позиции.
#жизнь #налоги
Великобритания продолжает терять крупнейших налогоплательщиков
⚡️ Третий по величине индивидуальный налогоплательщик страны — миллиардер и основатель Rokos Capital Management Крис Рокос — меняет налоговую резиденцию Великобритании на Грецию. За последний год он заплатил британской казне около £330 млн налогов.
Выбор Греции понятен: для состоятельных новых резидентов действует специальный режим — €10…
#жизнь
Рейтинг: Лучшие и худшие страны для жизни в 2026 году
Данная визуализация ранжирует 184 страны, используя данные Rumavi за 2026 год. Рейтинг каждой страны основан на комплексном показателе, включающем 24 показателя по четырем направлениям: финансовое положение и налогообложение, качество жизни и здоровье, безопасность и стабильность, а также условия для проживания и возможности. Результаты выявили неожидан…
#ПрямойЭфир #waveweek
Сегодня коротко и по делу - обзор основной темы, а далее привычный план по основным мировым активам. У меня ограничение в 1 час - буду вынужден сегодня компактней излагать ))
Начало в 16-30 мск:
📌 ССЫЛКА НА ЭФИР
#жизнь
Вот чего точно не ожидал при заказе бутерброда в Испании в 2026-м году 😂
😁516🔥88👀31❤19🤯16👏3🤔3🤷♂3
Showing the 12 most recent of 9,056 posts we hold for @goodtraders. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
Mentions
Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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
6
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
6
vacant every time we have ever looked
@goodtraders named 6 handles 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.
@richpapa named in 3 posts, 8 August 2026 – 8 August 2026
@dmitrysolodin named in 2 posts, 8 August 2026 – 8 August 2026
@alibuy1 named in 1 post, 8 August 2026 – 8 August 2026
@dmitry_solodin named in 1 post, 8 August 2026 – 8 August 2026
@investmusli named in 1 post, 8 August 2026 – 8 August 2026
@rusandorra named in 1 post, 8 August 2026 – 8 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Кенгуру Капитал Фондовый рынок Австралии @australianstocks · 3,358#97
Read from Telegram’s recommendation API, most recently 27 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
💰 WALL STREET PRO @thewallstreetpro · 46,529 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 27 August 2026
Панель Приборов FTT @Ta_ftt · 28,280 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 10 September 2026
Инвестиции сегодня, Трейдинг, Экономика, Акции - ProfitGate. Кречетов. @ProfitGate · 79,009 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 19 August 2026
bitkogan @bitkogan · 259,899 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 10 August 2026
Сергей Елисеев - Курс доллара, евро и рубля, рынок акций и инвестиции @SergeiEliseevOfficial · 29,299 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 8 September 2026
Invest Era @usamarke1 · 61,168 Telegram ranks this channel #23 of 97 here — alongside 96 others — read 22 August 2026
MG Daily @themovchans · 22,155 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 21 September 2026
Сложный процент | финансы @procent · 47,666 Telegram ranks this channel #26 of 97 here — alongside 96 others — read 26 August 2026
IF News @if_market_news · 118,977 Telegram ranks this channel #28 of 95 here — alongside 94 others — read 14 August 2026
Финансовая нeзaвисимость @fndb777 · 66,033 Telegram ranks this channel #31 of 99 here — alongside 98 others — read 21 August 2026
Freedom Broker @FREEDOMFINANCEKAZAKHSTAN · 21,533 Telegram ranks this channel #33 of 93 here — alongside 92 others — read 23 September 2026
TruEcon @truecon · 26,540 Telegram ranks this channel #35 of 97 here — alongside 96 others — read 12 September 2026
Ленивый инвестор @smfanton · 51,918 Telegram ranks this channel #36 of 95 here — alongside 94 others — read 24 August 2026
Степан Демура @sgdemura · 32,104 Telegram ranks this channel #40 of 95 here — alongside 94 others — read 5 September 2026
Abzalov @AbzalovD · 43,757 Telegram ranks this channel #41 of 94 here — alongside 93 others — read 28 August 2026
MarketTwits @markettwits · 336,911 Telegram ranks this channel #43 of 95 here — alongside 94 others — read 10 August 2026
IVASCO | Иващенко Юрий @yivashchenko · 28,926 Telegram ranks this channel #46 of 91 here — alongside 90 others — read 9 September 2026
Деньги из бетона — Недвижимость РФ @if_estate · 64,074 Telegram ranks this channel #46 of 97 here — alongside 96 others — read 21 August 2026
FREEDOM FINANCE OFFICIAL @FREEDOMFINANCE · 25,756 Telegram ranks this channel #47 of 95 here — alongside 94 others — read 13 September 2026
headlines @headlines_for_traders · 115,317 Telegram ranks this channel #47 of 96 here — alongside 95 others — read 14 August 2026
InvestFuture @investfuture · 183,560 Telegram ranks this channel #48 of 97 here — alongside 96 others — read 11 August 2026
Евгений Коган l Личный блог l Не только про инвестиции @TotSamyiKogan · 54,322 Telegram ranks this channel #49 of 98 here — alongside 97 others — read 24 August 2026
Abeta - акции, облигации, аналитика @aabeta · 27,834 Telegram ranks this channel #56 of 92 here — alongside 91 others — read 10 September 2026
Rockettothemoon @rockettothemooonASHFXPRO · 64,872 Telegram ranks this channel #60 of 88 here — alongside 87 others — read 21 August 2026
This channel appears in 67 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“СОЛОДИН LIVE” (@goodtraders), 45,035 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/goodtraders.
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.