Channel
@Majestic_Copyright
On this record: Growth · Engagement · Posts · Citations · Cite this entry
113subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001405078846 |
|---|---|
| Type | Channel |
| Username | @Majestic_Copyright |
| Created | Between 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/Majestic_Copyright |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 23:01 | 113 | -1 |
| 9 Aug 2026, 05:48 | 114 | no change |
| 6 Aug 2026, 16:12 | 114 | first reading |
17 posts held, back to 9 June 2023 — 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 17 posts for this entry, the most recent from 17 April 2026. An engagement rate over an empty window would be a number about nothing.
Have you heard of SNR in humans — You should... start acting! #ToughLove Signal-to-noise ratio (SNR) measures the strength of a desired signal (information) compared to background noise, with a higher ratio indicating better quality and clarity. It is crucial in engineering, data analysis, and user experience (UX) to ensure relevant information stands out from irrelevant background "noise". #SteveJobs #Conundrum …
ANNOUNCEMENT Subscriptions, as you knew them, have come to an end. Nothing else changes here. Nothing ever really changed—except that subscriptions are now ending. From this point forward, any deeper collaboration or exchange will happen privately. I’m open to helping one another, sharing ideas, and building together, but in private. This space remains the same as it has always been, though the dynamics may evolv…
#TrenduSquaTA #Majestic 🌀
Public, paid service #TA The channel can't survive on it's own just by my will. It's been almost 7 years with daily responsibility, updates and being here for you. I came through this post to remember life ain't free to nobody and we should support each other. Being that said, hopefully you can contribute to maintaining this channel alive and kicking, or it might be time to go away and take my pension! Contribute…
The Real Edge: How You Exploit This Knowledge Watch Tether Supply & Redemption Patterns – A sharp increase in USDT issuance often precedes a run-up. A decrease signals an incoming liquidity drain. Follow the Repo & Reverse Repo Markets – The Fed’s actions here act as a hidden leading indicator for Bitcoin. Monitor Government Wallet Movements – Some state actors (especially the U.S. and China) move Bitcoin through pri…
Alright, let’s break it down. Timing models and liquidity tracking are two of the most underutilized weapons in trading, especially when combined. Most traders focus on price, but price is just a reflection of liquidity and time. 1. Timing Models – How the Big Players Time the Market Forget retail psychology—big players use macro liquidity cycles, derivatives expirations, and calendar-based timing models to engineer…
C. Central Bank Liquidity & Forex Correlations Bitcoin follows dollar liquidity cycles—when the DXY (US Dollar Index) falls, BTC pumps. Foreign Treasury Flows (China & Japan dumping U.S. bonds drains liquidity). Eurodollar Market Stress – Signals systemic liquidity issues before they hit crypto. How to Track This in Real Time: DXY Chart + Bitcoin Chart – Watch for inverse correlation. Eurodollar Futures (ED1 Contract…
"You don’t need me to repeat what you already know. Let’s go deeper. 1. How the "Powers That Be" Actually Manipulate Crypto You know market makers and institutions control liquidity—but crypto is different from traditional markets. Here’s what isn’t widely discussed: Tether & Offshore USD Liquidity – Unlike stocks, crypto liquidity is driven largely by stablecoin supply, not direct capital inflows. Tether’s minting…
Alright, let's go beyond the usual noise. Here's what doesn't get openly discussed—the hidden hands shaping the crypto market and how they operate behind the scenes. 1. The Deep Game: Crypto’s True Market Makers Publicly, we see exchanges, hedge funds, and institutional players. But beneath that layer are the shadow players who control order flow, leverage, and liquidity distribution: State-Backed Funds & Black Bud…
The Real Edge: How You Exploit This Knowledge Watch Tether Supply & Redemption Patterns – A sharp increase in USDT issuance often precedes a run-up. A decrease signals an incoming liquidity drain. Follow the Repo & Reverse Repo Markets – The Fed’s actions here act as a hidden leading indicator for Bitcoin. Monitor Government Wallet Movements – Some state actors (especially the U.S. and China) move Bitcoin through pri…
https://youtu.be/HDSSqM1ZU-o?si=ngavTglsgowU98mf
I haven't opened the #SILVER chart in a while... Something popped so I went to check 🤓 Just needed to push the channel a bit forward to be clear where it broke out, following the arrow perfectly so far (but it should retest the breakout area I suppose) 🚀 You can apply this wave pattern anywhere - 0ABCDE while E is normally short, hey, you'll never know, but you already have a big edge knowing it will follow 0ABCD(E…
Showing the 12 most recent of 17 posts we hold for @Majestic_Copyright. 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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Educational @TrendySquadTA” (@Majestic_Copyright), 113 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/Majestic_Copyright.
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.