Channel
@Crypto_Without_Hype
On this record: Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
49,243subscribers
+573 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001326991874 |
|---|---|
| Type | Channel |
| Username | @Crypto_Without_Hype |
| Description | Simple crypto guides for beginners. Learn crypto step by step. No hype. No stress. Buy ads: telega.io/c/Crypto_Without_Hype ✍️ @AbdulrhmanSayed |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/Crypto_Without_Hype |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 15:24 | 49,243 | +244 |
| 14 Aug 2026, 01:28 | 48,999 | +169 |
| 12 Aug 2026, 18:15 | 48,830 | +105 |
| 11 Aug 2026, 17:04 | 48,725 | +55 |
| 10 Aug 2026, 22:30 | 48,670 | first reading |
20 posts held, back to 4 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 10 pagesof 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 10 August 2026 |
|---|---|
| Posts held | 20 (4 July 2026 – 10 August 2026) |
| Views total | 74,530 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 02:33 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.
Lifetime counters from Telegram’s own channel header, read 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 16 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
🚀 Bullish Gap Up Trading Strategy This one is a bit different for crypto. Since crypto runs 24/7, gaps don’t appear the same way they do in stocks — but you can still see them on BTC CME futures, some futures charts, or low-liquidity altcoins after a sudden move. The main idea here isn’t “gap = buy.” It’s more about understanding when a strong open or sudden jump is showing real buyer strength… and when it’s just pe…
📍 Strong Highs, Weak Highs, Strong Lows & Weak Lows This is one of those market structure lessons that makes crypto charts less random. The video explains how to tell which highs and lows are strong, which ones are likely to get taken out, and how traders use that to understand where BTC or altcoins might move next. Save this one before your next trade. If you can’t tell whether price is breaking structure or just …
🕯 Free Candlestick Patterns Course This is the kind of video you save, not just watch once. 125 minutes explaining candlestick patterns from the basics, which is actually useful if you trade crypto and still sometimes enter based on “vibes” or random green candles. Before indicators, leverage, signals, or any fancy strategy, you need to understand what candles are telling you. Watch it slowly, then open BTC or any …
Nobody is more stressed than the guy who's been in crypto since 2021 and still isn't rich.
🧭 Multi Time Frame Trading for Crypto Before you enter any BTC or altcoin trade, zoom out first. A setup can look perfect on the 5m chart, but if the 1H / 4H trend is against you, you’re basically trading blind. This clip explains how to use higher time frames to understand the real market direction, then use lower time frames for cleaner entries instead of randomly chasing candles. Save this one and watch it befor…
📉 Head & Shoulders Pattern in Crypto Trading This is one of those patterns every crypto trader should know, especially when BTC or an altcoin is looking weak after a big move up. The video explains the Head and Shoulders pattern, how it can signal a possible trend reversal, and how traders use the neckline to understand when momentum might be shifting. But don’t short every pattern you see randomly — it works better…
⭐️ Complete Crypto Trading Course: Beginner to Pro Before watching, remember this: Do not copy all three strategies. Pick one and test it properly. For every setup, record: • Entry price • Stop-loss • Take-profit • Risk-to-reward ratio • Screenshot before and after • Why the trade won or lost Backtest at least 30–50 trades before using real money. Also, win rate is not everything. A strategy with a 40% win rate and …
🕯 Hammer & Shooting Star Candles in Crypto Trading Small candles, but they can tell you a lot when BTC or altcoins are rejecting a level. This video explains the Hammer and Shooting Star candlestick patterns, how traders use them to spot possible reversals, and when they actually matter in price action. Don’t just trade them randomly though — they’re much stronger when they appear near support, resistance, supply/de…
📈 Hull Moving Average (HMA) Indicator Most moving averages are late… by the time they confirm the move, BTC already did half of it. That’s why HMA is worth checking. It’s smoother than a normal MA, but reacts faster, so it can help you see when a crypto trend is still alive — or when price is starting to lose momentum. Just don’t treat it like a magic buy/sell signal. Use it as a filter: are you trading with the tre…
📊 Different Ways to Trade Crypto 💰 Not every crypto investor trades the same way. Learn the four most common strategies and choose the one that fits your goals. #Crypto #CryptoTrading #Bitcoin
Save this one, seriously. ⭐️ This is basically a free 7-hour day trading course for beginners. If you’re trying to understand trading from zero, don’t just watch random clips — start with something like this. Watch it, take notes, and come back to it later. #Trading #DayTrading #CryptoTrading #LearnTrading #TradingForBeginners #FreeCourse #Finance
📍 Aggressive Supply & Demand Zones Like Smart Money This one is important if you trade crypto and keep entering too early. The video explains how to spot strong supply and demand zones, where price is more likely to react, and how smart money traders look at these areas before entering a trade. Save it and watch it before your next BTC or altcoin trade, especially when price is sitting near a key zone and you’re no…
Showing the 12 most recent of 20 posts we hold for @Crypto_Without_Hype. 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.
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.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Crypto Without Hype” (@Crypto_Without_Hype), 49,243 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Crypto_Without_Hype.
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.