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Channel

fintraining

@fintraining

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry

9,260subscribers

-6 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
Created27 December 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 22 August 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 why it has no browse page of its own yet.

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 1 other registered channel. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Allocation_ru/139430 Jul 2026, 09:03 UTC@fintraining/7355 · this entry30 Jul 2026, 09:04 UTC1.00under a minute
@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
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Allocation_ru21 (8/8 hand-verifiable sample passed)0.99under a minute@Allocation_ru (201)

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. 5 of the 18 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 23 comparable posts for this entry, running 27 July 2026 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 2, the earliest publisher we hold is @Allocation_ru. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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 1 other registered channel, 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.

Growth

9,2539,2669,259.56 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 subscribers9,2606 August 202622 August 2026
7 measurements spanning 17 days, net -6. 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 9,251–9,268 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 18:189,260+4
19 Aug 2026, 04:249,256+1
16 Aug 2026, 07:559,255+2
13 Aug 2026, 00:559,253-10
9 Aug 2026, 20:119,263-2
6 Aug 2026, 22:449,265-1
6 Aug 2026, 04:069,266first reading

Engagement

50 posts held, back to 27 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.5%
avg views ÷ 9,260 subscribers
Avg views / post
1,430
49 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
50
of 50 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 22 August 2026
Posts held50 (27 July 202622 August 2026)
Views total70,173
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 17:55 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.

Recent posts

22 Aug 2026, 09:14 UTC538 viewsread 22 August 2026

Индексному фонду исполняется 50 лет: как Джек Богл навсегда изменил инвестиции Аллан Рот, CPA, для Morningstar 31 августа 2026 г. первый индексный взаимный фонд отметит свое 50-летие. В этот день в 1976 году молодая управляющая компания Vanguard, возглавляемая покойным Джоном К. Боглом, запустила первый общедоступный взаимный фонд на индекс S&P 500. Полвека спустя активы всех классов акций фонда, включая Vanguard 50

Signed Sergey Spirin

20 Aug 2026, 07:56 UTC≈1,030 viewsread 22 August 2026

В этом году исполнилось 50 лет с момента запуска первого публичного индексного фонда, который успешно пережил эти 50 лет сейчас называется Vanguard 500 Index Fund. В связи с этим я опубликовал перевод статьи Vanguard "Взгляд из-за кулис на индексный фонд Vanguard 500 Index Fund" Иногда я бываю неправ. В прошлом я, бывало, высказывался в том духе, что управлять индексным фондом может любой студент - выпускник финансо

Signed Sergey Spirin

19 Aug 2026, 09:17 UTC≈1,160 viewsread 22 August 2026
Photo

Photo, posted without a caption

Signed Sergey Spirin

19 Aug 2026, 09:08 UTC≈1,160 viewsread 22 August 2026
Photo

Photo, posted without a caption

Signed Sergey Spirin

19 Aug 2026, 09:07 UTC≈1,020 viewsread 22 August 2026
Forwarded from @Allocation_ru

Когда Анар говорит, что «деньги должны зарабатываться за пределами биржи», я с ним согласен. Деньги инвестору вообще приносит не биржа. Деньги в инвестициях зарабатывает чужой бизнес – эмитенты акций и облигаций – которым вы передаете временно свободные средства для того, чтобы ваши деньги работали в чужом бизнесе и приносили пользу. Биржа здесь лишь площадка, на которой вы встречаетесь с эмитентами акций, облигаций

Signed Sergey Spirin

19 Aug 2026, 09:07 UTC700 viewsread 22 August 2026
Forwarded from @Allocation_ru

Если построить по оси времени график с долями «человеческого капитала» (когда вы делаете деньги) и «финансового» капитала» (когда деньги делают деньги) с переходом от «100% человеческого капитала» в начале жизни к «100% финансового капитала» в конце жизни, то он будет напоминает горку, с которой мы скатываемся, проходя через разные этапы. Форма этой кривой 17 лет назад навела меня на мысль статьи «Принцип бобслея» -

Signed Sergey Spirin

19 Aug 2026, 09:07 UTC738 viewsread 22 August 2026
Forwarded from @Allocation_ru

Про засолку и размножение мамонтов Пост родился по итогам прослушивания подкаста от Анара Бабаева (Бабайкина) – «Что я хотел бы знать в первый день инвестирования» (с заставкой «Я понял поздно») – https://www.youtube.com/watch?v=CfB-HCHVZ9A Там в целом здравые мысли, и под многими я готов подписаться. Но одна мысль, которую Анар в последнее время продвигает чуть ли не как ключевую, мне постоянно режет слух. Это мыс

Signed Sergey Spirin

19 Aug 2026, 06:52 UTC965 viewsread 22 August 2026

Уильям Бернстайн, «Четыре столпа инвестиций» Глава 7. Распределение активов для взрослых инвесторов, часть 3 Модельные портфели В предыдущей главе мы рассмотрели инвестиционную версию всей Торы Гиллеля – распределение акций/облигаций на протяжении всего жизненного цикла инвестора, – а в этой главе мы рассмотрим комментарии, которые для инвесторов включают два основных вопроса: • Какие категории акций следует покупа

Signed Sergey Spirin

18 Aug 2026, 09:39 UTC≈1,080 viewsread 22 August 2026
Photo

Индексные фонды взимают гораздо более низкие комиссии по сравнению с активно управляемыми фондами — их средний коэффициент расходов на конец 2024 года составил всего 0,09% по сравнению с 0,56% у активно управляемых фондов. Такое ценовое преимущество означает, что большая часть прибыли от инвестиций остаётся у вас. Графики: средние комиссии активно-управляемых и индексных фондов США, взвешенные по объему активов под

Signed Sergey Spirin

18 Aug 2026, 08:06 UTC≈1,070 viewsread 22 August 2026

Про пенсионное планирование Отдельно хочу обратить внимание на Главу 6 из книги Бернстайна «Четыре столпа инвестиций» тех, кто интересуется распределением активов в предпенсионный и пенсионный период. Правило 4% Бенгена, Исследование Тринити – все это у Бернстайна разобрано весьма подробно. Я знаю, что некоторые люди были недовольны тем, что вопросам пенсионного планирования на моих ресурсах уделяется мало внимания

Signed Sergey Spirin

18 Aug 2026, 06:02 UTC≈1,050 viewsread 22 August 2026

Уильям Бернстайн, «Четыре столпа инвестиций» Глава 6. Распределение активов для взрослых инвесторов, часть 2 Возрасты инвестора Рискуя зайти слишком далеко в древних литературных аллюзиях, я добавлю загадку Сфинкса к притче Гиллеля: Кто ходит на четырех ногах утром, на двух ногах днем и на трех ногах вечером? Человек, который в детстве ползал, во взрослом возрасте ходит на двух ногах, а в преклонном возрасте опира

Signed Sergey Spirin

Showing the 12 most recent of 50 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.

Citation-graph rank

Citation-graph rank — 115,323 of 1,583,249entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

RationalAnswer | Павел Комаровский
@RationalAnswer · 105,436
Telegram ranks this channel #33 of 98 here — alongside 97 others — read 15 August 2026
Фининди | Александр Елисеев
@Finindie · 73,085
Telegram ranks this channel #43 of 96 here — alongside 95 others — read 19 August 2026
На пенсию в 35 лет
@pensiya35 · 123,679
Telegram ranks this channel #43 of 99 here — alongside 98 others — read 13 August 2026
ШЕРГИНА Юрист Финансовый советник
@LawAndFinance · 69,605
Telegram ranks this channel #52 of 90 here — alongside 89 others — read 20 August 2026

This channel appears in 4 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“fintraining” (@fintraining), 9,260 subscribers as measured 22 August 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.