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Channel

fintraining

@fintraining

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

9,201subscribers

-65 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001155089414
TypeChannel
Username@fintraining
DescriptionРаспределение активов, пассивные портфельные инвестиции Сайт - https://assetallocation.ru Чат канала - https://t.me/+9jMyrRNcJDo2ZmVi Правила чата - https://t.me/fintraining/5219 Не размещаю рекламу, в т.ч. взаимную. Связь - @fintraining01
Created27 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/fintraining

Topic

Other / unclassifiable — 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 44% 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.

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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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)
Posted firstThenOverlapGap
@Allocation_ru/139931 Jul 2026, 10:13 UTC@fintraining/7359 · this entry31 Jul 2026, 10:13 UTC1.00under a minute
@Allocation_ru/14022 Aug 2026, 08:45 UTC@fintraining/7362 · this entry2 Aug 2026, 08:45 UTC1.00under a minute
@Allocation_ru/14075 Aug 2026, 08:30 UTC@fintraining/7367 · this entry5 Aug 2026, 08:30 UTC1.00under a minute
@Allocation_ru/14106 Aug 2026, 07:11 UTC@fintraining/7370 · this entry6 Aug 2026, 07:11 UTC1.00under a minute
@Allocation_ru/141611 Aug 2026, 10:33 UTC@fintraining/7376 · this entry11 Aug 2026, 10:33 UTC1.00under a minute
@Allocation_ru/141711 Aug 2026, 10:33 UTC@fintraining/7377 · this entry11 Aug 2026, 10:33 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@Allocation_ru25 (8/8 hand-verifiable sample passed)0.99under a minute@Allocation_ru (24–1)

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. 9 of the 22 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 86 comparable posts for this entry, running 27 July 2026 to 9 November 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @Allocation_ru. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.

Growth

9,1979,2669,231.56 August 2026 — 9,266 subscribers6 August 2026 — 9,265 subscribers9 August 2026 — 9,263 subscribers13 August 2026 — 9,253 subscribers16 August 2026 — 9,255 subscribers19 August 2026 — 9,256 subscribers22 August 2026 — 9,260 subscribers25 August 2026 — 9,263 subscribers28 August 2026 — 9,254 subscribers31 August 2026 — 9,262 subscribers5 September 2026 — 9,253 subscribers10 September 2026 — 9,239 subscribers14 September 2026 — 9,242 subscribers18 September 2026 — 9,238 subscribers27 September 2026 — 9,242 subscribers5 October 2026 — 9,221 subscribers11 October 2026 — 9,212 subscribers14 October 2026 — 9,204 subscribers18 October 2026 — 9,203 subscribers20 October 2026 — 9,202 subscribers23 October 2026 — 9,200 subscribers26 October 2026 — 9,197 subscribers29 October 2026 — 9,203 subscribers1 November 2026 — 9,202 subscribers4 November 2026 — 9,204 subscribers7 November 2026 — 9,201 subscribers9,2016 August 20267 November 2026
26 measurements spanning 93 days, net -65. 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 9,187–9,276 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
7 Nov 2026, 12:599,201-3
4 Nov 2026, 13:369,204+2
1 Nov 2026, 16:269,202-1
29 Oct 2026, 20:309,203+6
26 Oct 2026, 18:289,197-3
23 Oct 2026, 20:509,200-2
20 Oct 2026, 16:589,202-1
18 Oct 2026, 01:279,203-1
14 Oct 2026, 20:179,204-8
11 Oct 2026, 13:029,212-9
5 Oct 2026, 10:199,221-21
27 Sept 2026, 13:229,242+4
18 Sept 2026, 14:199,238-4
14 Sept 2026, 13:179,242+3
10 Sept 2026, 12:589,239-14
5 Sept 2026, 02:209,253-9
31 Aug 2026, 22:279,262+8
28 Aug 2026, 20:379,254-9
25 Aug 2026, 21:579,263+3
22 Aug 2026, 18:189,260first reading

Engagement

98 posts held, back to 27 July 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 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.4%
avg views ÷ 9,201 subscribers
Avg views / post
1,500
28 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
28
of 98 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
WindowRolling 30 days · latest post in window 9 November 2026
Posts held98 (27 July 2026 – 9 November 2026)
Views total42,129
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 23:26 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
≈2,130
Videos
≈40
Links
≈2,660

Lifetime counters from Telegram’s own channel header, read 10 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 28 posts held from the last 30 days (7.14%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 13:31 UTC816 viewsread 10 November 2026

Про Портфель Лежебоки и растущий интерес к нему Что меня радует в самое последнее время, так это то, что портфельные подходы начинают вызывать все больший интерес у российских читателей. Даже в рассаднике спекулянтов – Смарт-лабе, все больше постов начинают посвящать портфельным инвестициям, сравнению портфелей друг с другом и т.п. Вот, к примеру, несколько свежих ссылок (эти же посты есть в Пульсе и других соцсетя…

Signed Sergey Spirin

9 Nov 2026, 08:38 UTC819 viewsread 10 November 2026

компании, но и по другой, не менее важной причине – вознаграждения за продажу страховых продуктов, как правило, в несколько раз (!) выше вознаграждений за продажу инвестиционных продуктов. Именно поэтому «продавцы» очень любят начинать разговор с клиентом именно с них. 2. Структурные продукты, ноты, инвестиционные облигации (не путать с «обычными» облигациями!) 3. Вложения в кредитные кооперативы и микрофинансовые …

Signed Sergey Spirin

9 Nov 2026, 08:38 UTC754 viewsread 10 November 2026

Каких инвестиционных советников следует избегать? * Примечание: пост был написан 8 лет назад, в ноябре 2018 г., еще до вступления в силу закона об инвестиционных советниках. Время показало, что я оказался полностью прав относительно роли этого закона (он оказался не только бесполезным, но и вредным, отправив большинство советников в «серую зону»). А советы по выбору советника продолжают оставаться актуальны и сейчас…

Signed Sergey Spirin

8 Nov 2026, 09:25 UTC≈1,000 viewsread 10 November 2026

Есть такое забавное слово «коррекция». Его очень любят «эксперты». Для них оно обозначает не просто смену направления движения рынка, что время от времени происходит для любого рынка, и совершенно нормально и естественно. Слово «коррекция» одновременно как бы намекает, что до этого рынок вел себя «неправильно», а вот теперь вернулся к правильному поведению. И создается впечатление, что «эксперт», конечно, заранее з…

Signed Sergey Spirin

6 Nov 2026, 08:36 UTC≈1,210 viewsread 10 November 2026
Forwarded from @fastsalttimesPhoto

Мы всех их знаем, и некоторые из них — это мы 😎️️️️️️😉️️️️️️

Signed Sergey Spirin

6 Nov 2026, 08:07 UTC≈1,230 viewsread 10 November 2026

Что нужно знать про индексы Мне часто задают вопросы про биржевые индексы. Как они формируются, почему именно так, зачем индексы взвешивают по капитализации, что такое free-float, почему бы не использовать равновзвешенные индексы и т.д. и т.п. Вопросы справедливые, но ответ на них редко бывает коротким, который можно изложить в нескольких абзацах, а написанной понятным языком доступной информации в открытом доступе…

Signed Sergey Spirin

6 Nov 2026, 07:45 UTC≈1,180 viewsread 10 November 2026

Экспоненциальное богатство. Глава 3. Построение индексов: принципы и современные подходы ВВЕДЕНИЕ В предыдущей главе мы рассмотрели исторические показатели основных классов активов за последнее столетие. Мы увидели, как $1, инвестированный в начале 1926 г. в индекс общей доходности акций компаний крупной капитализации Ibbotson, к концу 2025 г. (спустя 100 лет) превратился в $14’751, что соответствует среднегодовой …

Signed Sergey Spirin

2 Nov 2026, 13:48 UTC≈1,610 viewsread 10 November 2026

💼 Модельный «Портфель лежебоки» (и не только) – октябрь 2026 г. Модельный «Портфель лежебоки» в октябре 2026 г. вырос на +1,1%, однако в плюс с начала года так и не вышел. Причина, главным образом, в сильной просадке цен на золото на мировых рынках. Результат модельного портфеля с начала года (за 10 месяцев) – -1,7%. Рост за 12 месяцев (октябрь 2026 к октябрю 2025) – +3,5% годовых. Составляющие модельного портфеля…

Signed Sergey Spirin

30 Oct 2026, 14:00 UTC≈1,750 viewsread 10 November 2026

Придумываю название темы для выступления на Investment Leaders Forum 2026 в Москве, 14 ноября. Пока получается примерно вот такой вариант: * «ИСТОРИЧЕСКИЕ ХАРАКТЕРИСТИКИ КЛАССОВ АКТИВОВ И ИХ ИСПОЛЬЗОВАНИЕ В ЛИЧНОМ ФИНАНСОВОМ ПЛАНИРОВАНИИ» * Возможно, кто-то сможет предложить более короткое или более интригующее название? Или более понятное для новичков? Также пишите в комментариях, если хотите, чтобы я затронул ка…

Signed Sergey Spirin

30 Oct 2026, 13:15 UTC≈1,580 viewsread 10 November 2026

(лениво) Что, там какую-то крипту в очередной раз сломали и кинули криптанов? Странно, что еще не всю. Все деньги, у которых нет влиятельного хозяина - защитника (сеньора) там будут. Разумеется, фиатные деньги тоже не без проблем. И их воруют, и их ломают. Но у них хотя бы есть хозяин - эмитент, который жизненно заинтересован в их защите. А по поводу крипты все претензии предъявляйте Сатоши Накамото, кто бы это н…

Signed Sergey Spirin

29 Oct 2026, 09:32 UTC≈1,700 viewsread 10 November 2026
Photo

С.С.: Переписка двух умных людей в одной западной соцсети а автопереводе. Мысли, про которые полезно время от времени напоминать. Одновременно с этим я каждый день натыкаюсь на бесчисленное количество каналов, которые занимаются именно попытками превзойти рынок. Уверен, что практически все их авторы не богаты настолько, чтобы это имело смысл. С точки зрения эффективности им было бы куда выгоднее жарить бургеры на п…

Signed Sergey Spirin

Showing the 12 most recent of 98 posts we hold for @fintraining. 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

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 3 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.

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.

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.

📚 Доказательное Инвестирование
@invest_science_channel · 38,572
Telegram ranks this channel #5 of 97 here — alongside 96 others — read 31 August 2026
RationalAnswer | Павел Комаровский
@RationalAnswer · 110,207
Telegram ranks this channel #33 of 98 here — alongside 97 others — read 15 August 2026
Александра Вальд Инвестиции
@life_and_invest · 29,902
Telegram ranks this channel #43 of 97 here — alongside 96 others — read 7 September 2026
Фининди | Александр Елисеев
@Finindie · 73,270
Telegram ranks this channel #43 of 96 here — alongside 95 others — read 19 August 2026
На пенсию в 35 лет
@pensiya35 · 122,808
Telegram ranks this channel #43 of 99 here — alongside 98 others — read 13 August 2026
Движение FIRE
@wkpbro · 28,264
Telegram ranks this channel #46 of 93 here — alongside 92 others — read 9 September 2026
ШЕРГИНА Юрист Финансовый советник
@LawAndFinance · 68,969
Telegram ranks this channel #52 of 90 here — alongside 89 others — read 20 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“fintraining” (@fintraining), 9,201 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/fintraining.

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.