Channel
@arbiflowpm
On this record: Topic · Growth · Engagement · Posts · Cite this entry
39subscribers
-106 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003593621481 |
|---|---|
| Type | Channel |
| Username | @arbiflowpm |
| Created | 11 April 2026 — measured — dated from the channel’s first post |
| First recorded | 8 August 2026 |
| Last confirmed live | 3 October 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 3 October 2026 |
| On Telegram | t.me/arbiflowpm |
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 29 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Oct 2026, 00:22 | 39 | -11 |
| 18 Sept 2026, 12:21 | 50 | -29 |
| 10 Sept 2026, 00:18 | 79 | -12 |
| 30 Aug 2026, 22:06 | 91 | -15 |
| 23 Aug 2026, 23:59 | 106 | -13 |
| 16 Aug 2026, 02:25 | 119 | -25 |
| 8 Aug 2026, 21:30 | 144 | no change |
| 7 Aug 2026, 23:06 | 144 | -1 |
| 7 Aug 2026, 19:05 | 145 | first reading |
5 posts held, back to 11 April 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 1 page 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 5 posts for this entry, the most recent from 12 April 2026. An engagement rate over an empty window would be a number about nothing.
🤔 ЧТО ТАКОЕ РЫНКИ ПРЕДСКАЗАНИЙ? Это биржи, где торгуют не акциями, а ВЕРОЯТНОСТЬЮ событий. Пример: «Выиграют ли Lakers у Warriors?» — Контракт «ДА» стоит $0.62 — Контракт «НЕТ» стоит $0.38 Если Lakers победят — держатели «ДА» получат $1.00. Если проиграют — держатели «НЕТ» получат $1.00. Цена контракта = оценка рынком вероятности события. 62 цента = рынок считает, что вероятность 62%. Всё просто. Никакой магии. …
Статистика за февраль/март⬆️
File, posted without a caption
ARBIFLOW — ЭТО НЕ СТАВКИ. ЭТО МАТЕМАТИКА. Мы собрали робота, который зарабатывает на разнице цен между двумя главными рынками предсказаний — Polymarket и Kalshi. ЧТО ТАКОЕ РЫНКИ ПРЕДСКАЗАНИЙ? Это биржи, где торгуют вероятностью событий. «Трамп победит?», «Биткоин пробьёт 90k?», «Ставку ФРС поднимут?». Угадал — получил $1. Ошибся — потерял ставку. В ЧЁМ ПРИНЦИП? Одно и то же событие на Polymarket и Kalshi часто сто…
Channel created
Showing the 5 most recent of 5 posts we hold for @arbiflowpm. 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 3 October 2026 — this entry's latest reading, not the date you are reading this.
“ARBIFLOW / PREDICTION ARBITRAGE” (@arbiflowpm), 39 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/arbiflowpm.
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.