on cme fedwatch, there are probability changes only in maintaining and hiking rates. so far, chance of rate cut is ZERO even tho the rate hike probability end of this year fell to 77%. this is based on 1. macro structural pressure from double inflation - one is in the US, the other one is in Japan. 2. derived from point 1, yen carried trade unwind threat 3. expansion of capex in the market with uncertain future …

Channel
BUFFY’S BUFFET
@buffylines
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
207subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002697012794 |
|---|---|
| Type | Channel |
| Username | @buffylines |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 2 October 2026 |
| On Telegram | t.me/buffylines |
Topic
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 24 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 04:56 | 207 | -1 |
| 9 Sept 2026, 23:57 | 208 | -1 |
| 31 Aug 2026, 12:38 | 209 | +1 |
| 24 Aug 2026, 13:25 | 208 | -1 |
| 16 Aug 2026, 07:26 | 209 | -1 |
| 8 Aug 2026, 11:02 | 210 | no change |
| 7 Aug 2026, 18:07 | 210 | first reading |
Engagement
19 posts held, back to 29 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 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 19 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
72 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 56.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 41 | 56.9% | |
| 👍 | 17 | 23.6% | |
| 🔥 | 11 | 15.3% | |
| 👏 | 2 | 2.78% | |
| 😱 | 1 | 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 15 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 72 reactions 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 29 July 2026 to 8 August 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.
Recent posts
Photo, posted without a caption
👍3
for example, buying 1k a month at btc 65k until Oct and 55k at Nov till Jan next year before 65k at Feb next year will give you average entry price of 59.6k or so. thats 8.2% cheaper than the first entry. thats why you need to know how much risk tolerance you have. dca helps but if you fear the fall, you only have one choice, wait for 1 month chart vortex indicator bull cross to appear.
🔥3
BTC 64.2k to 53k realized price is only 17% drop. depending on your risk tolerance you can start considering where you want to start your DCA. As for me, I’m waiting for my cycle tipping point in Q4 to buy my BTC stock.
❤3👍3👏2
firstly, this is not a thesis. this is about money. everyone’s goal of being in crypto is to make money. everyone also knows how hard it is to make money. so, everyone should prioritize not losing by trusting a random guy creating a $(name) out of nowhere and say “pump”. provided data and theses are all for this tg members’ due diligence. may or may not be enough to cover everything but it tells us the things we ne…
❤7👍4
S&P500 reset comes every 3.5 to 5 years. we are in 4th year from the last 2022 reset. this Oct marks the year 4. BTC is known to bottom on the same month or following month historically. the number of bars on 1 month chart aligns with this if this year brings us bottom and stays true to cyclical patterns.
❤5
the next driver for btc to hit bottom might be publicly traded btc miners leading the pivot of their mining outfit to ai data center which cascades to private miners. this is my speculation but one public miner has alrdy announced using their facility for ai. $IREN pivot to ai is proving to be fruitful. edit: typos
❤2
adjusted training data to past 200 months using legacy btc index on trading view. forecast horizon 50 months, historical lookback 100 months for bigger dataset and more accuracy. dataset now has a full btc historical candles from 2009. result is in the pic. edit: typos
🔥4
this monte carlo central tendencies or monte carlo ct uses simulated probabilities of the past data to forecast the price action probability. my setting for it is based on past 120 months of bitcoin price action used to simulate 200 outcomes to get the future 50 months prediction.
👍3
i just applied monte carlo central tendencies to my $BTC forecast chart with vortex + support/resistance. Statistical evidence for the next 2 months is that it is currently in spot buy zone with 13 to 15% downside potential, and no long opportunity on 1month candles as well as 1week candles. shorts are tight too. 1day candles show 46% for longs to succeed within the tight range of 65.55k and 55.75k. 46% for longs m…
🔥4❤3
BTC now got 4 bars left on 1month chart for reversal based on previous cycles. end of 2nd bar should be where i start bidding and maybe grabbing some LEAPs options for SOL leveraged stock for a potential multi bagger. have a good one.
👍4❤2
https://x.com/buffylepup/status/2083400263189381462?s=46&t=dK_Cet-zS9NfeW-fjxGd4w
Showing the 12 most recent of 19 posts we hold for @buffylines. 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.
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 2 October 2026 — this entry's latest reading, not the date you are reading this.
“BUFFY’S BUFFET” (@buffylines), 207 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/buffylines.
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.