Someone bought 248 BTC for $88,200 in 2013, held it, then moved the entire amount at $20.3M, making a $20,000,000 profit in one trade. Crypto Mindset✅️
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Channel
@Crypto_Mindset_TM
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
76,896subscribers
-7,929 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002096075442 |
|---|---|
| Type | Channel |
| Username | @Crypto_Mindset_TM |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/Crypto_Mindset_TM |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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 |
|---|---|---|
| 24 Oct 2026, 19:57 | 76,896 | -93 |
| 23 Oct 2026, 22:27 | 76,989 | -121 |
| 22 Oct 2026, 18:57 | 77,110 | -118 |
| 21 Oct 2026, 15:36 | 77,228 | -97 |
| 20 Oct 2026, 12:56 | 77,325 | -109 |
| 19 Oct 2026, 13:50 | 77,434 | -77 |
| 18 Oct 2026, 14:51 | 77,511 | -94 |
| 17 Oct 2026, 13:10 | 77,605 | -88 |
| 16 Oct 2026, 13:36 | 77,693 | -98 |
| 15 Oct 2026, 12:37 | 77,791 | -117 |
| 14 Oct 2026, 14:09 | 77,908 | -126 |
| 13 Oct 2026, 02:57 | 78,034 | -422 |
| 8 Oct 2026, 16:20 | 78,456 | -465 |
| 4 Oct 2026, 04:02 | 78,921 | -880 |
| 25 Sept 2026, 07:58 | 79,801 | -615 |
| 18 Sept 2026, 20:39 | 80,416 | -219 |
| 16 Sept 2026, 15:18 | 80,635 | -226 |
| 14 Sept 2026, 17:57 | 80,861 | -136 |
| 13 Sept 2026, 07:39 | 80,997 | -203 |
| 11 Sept 2026, 12:17 | 81,200 | first reading |
33 posts held, back to 17 May 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 164 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 33 (17 May 2026 – 18 October 2026) |
| Views total | 6,777 |
| Reactions total | 57 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Oct 2026, 18:54 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.
450 reactions across 33 posts, in 8 distinct kinds. The most used accounts for 58.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 263 | 58.4% | |
| ❤ | 106 | 23.6% | |
| 🔥 | 51 | 11.3% | |
| 👌 | 16 | 3.56% | |
| 💯 | 7 | 1.56% | |
| ❤🔥 | 4 | 0.889% | |
| 😈 | 2 | 0.444% | |
| 🤩 | 1 | 0.222% |
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 33 of the 33 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 450 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 17 May 2026 to 18 October 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.
Someone bought 248 BTC for $88,200 in 2013, held it, then moved the entire amount at $20.3M, making a $20,000,000 profit in one trade. Crypto Mindset✅️
👍8❤3🔥1
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💰 CryptoBilis-linked wallet routes 464 ETH to Tornado Cash A wallet connected to the CryptoBilis thefts has moved 464 ETH through Tornado Cash, according to Ethereum on-chain records. The funds were routed via an intermediary address and four deposit wallets before reaching the mixer. The source wallet reportedly retained approximately 700 ETH following the transfer. Tornado Cash remains a common tool for obfuscat…
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👩🍳 Hyperliquid OTC HYPE Sale Hyperliquid Labs will sell 3.75 million HYPE to an institutional investor via an OTC deal. The tokens come from the October team unlock and are worth about $320 million at current prices. Unstaking starts September 30, with distribution on October 7. The tokens will not be sold on the open market. The September team unlock was moved and combined with October’s through the OTC deal. Th…
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🚩 Magic Eden NFT Drain Magic Eden users who listed NFTs on Ethereum should revoke their approvals. On September 25, CirrusNFT spotted one wallet taking 3,832 NFTs from hundreds of wallets through Magic Eden sales at 0 ETH. Yuga Labs CEO Michael Figge said the vulnerability was found hours earlier. 0xQuit is securing the assets in a white-hat operation. NFTs at 0x71cF...fe33 are reportedly safe and will be returned …
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🔥SEC Chair Paul Atkins says the agency is moving ahead with its 'Innovation Exemption' after CLARITY stalled. This exemption includes TSVs exempt from the 'exchange' definition and certain liquidity providers exempt from the 'dealer' definition. Permissioned access only will be allowed, with no synthetic tokenized stocks. Issuers can also object to trading. Anti-fraud and anti-manipulation rules still fully apply…
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📈 Spot XRP ETFs Hit $1.7B in Cumulative Inflows Spot XRP ETFs have set a new all-time high in cumulative inflows, reaching $1.7 billion as a nine-week streak of consecutive weekly inflows continues. The sustained demand marks one of the strongest sustained inflow runs for any crypto ETF product, reflecting growing institutional appetite for XRP exposure through regulated vehicles. Crypto Mindset✅️
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💥 CLARITY Act Could Face Delay Cynthia Lummis warned that if Congress does not pass the CLARITY Act in the current session, the next real chance to revisit it may come only in four years, potentially delaying it until 2030. A key Senate vote is scheduled for 15 September. The bill needs at least 60 votes to advance. Polymarket currently puts the odds of passage by the end of 2026 at just 17%. Crypto Mindset✅️
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🔐 Compliance Data Leak Exposes 291 Crypto Users' Identities A data leak has linked the real identities of 291 crypto users directly to their wallet activity, stripping away the anonymity they relied on. Copied support records exposed varying combinations of personal identity, location, and compliance data. Private keys and customer funds were not compromised in the incident. The breach highlights a persistent vuln…
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✊ Coinbase Tokenizes US Stocks Coinbase launched tokenized US company shares on Base. Issued under B20, they are backed 1:1 by real shares held by regulated broker and custodian Alpaca. Trading is available 24/7, with liquidity already on Aerodrome (AERO). Users outside the US in supported jurisdictions can trade fractional shares, including Apple and NVIDIA, through non-custodial wallets. Coinbase plans to add mo…
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🔽 BTC Capitulation Signs Emerge The share of BTC supply in profit fell to 51.4%, its lowest level in over three years. About 48.6% of coins are now at an unrealized loss. CryptoQuant said levels below 55% have historically marked capitulation and reaccumulation. Similar readings last appeared in early 2023, when BTC traded at $16,000-$20,000. Analysts warned that trying to catch the absolute bottom is misguided, as…
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Showing the 12 most recent of 33 posts we hold for @Crypto_Mindset_TM. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 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.
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.
@Crypto_Mindset_TM named 2 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.
References a handle that is not a live channel — we have no record it ever was one.
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 24 October 2026 — this entry's latest reading, not the date you are reading this.
“Crypto Mindset💰” (@Crypto_Mindset_TM), 76,896 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/Crypto_Mindset_TM.
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.