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Telegram profile photo for Mrstarsahil

Channel

Mrstarsahil

@snbdia

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

50,296subscribers

-1,793 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001930981230
TypeChannel
Username@snbdia
DescriptionTrader || Youtuber || Actor
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/snbdia

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 9 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

50,29652,19051,2437 August 2026 — 52,089 subscribers8 August 2026 — 52,103 subscribers9 August 2026 — 52,114 subscribers10 August 2026 — 52,190 subscribers11 August 2026 — 52,181 subscribers12 August 2026 — 52,162 subscribers13 August 2026 — 52,142 subscribers15 August 2026 — 52,117 subscribers16 August 2026 — 52,084 subscribers17 August 2026 — 52,062 subscribers18 August 2026 — 52,021 subscribers19 August 2026 — 51,981 subscribers20 August 2026 — 51,944 subscribers22 August 2026 — 51,903 subscribers23 August 2026 — 51,887 subscribers25 August 2026 — 51,839 subscribers26 August 2026 — 51,771 subscribers26 August 2026 — 51,762 subscribers28 August 2026 — 51,714 subscribers29 August 2026 — 51,751 subscribers30 August 2026 — 51,721 subscribers31 August 2026 — 51,696 subscribers1 September 2026 — 51,662 subscribers2 September 2026 — 51,623 subscribers3 September 2026 — 51,559 subscribers5 September 2026 — 51,481 subscribers7 September 2026 — 51,391 subscribers10 September 2026 — 51,247 subscribers13 September 2026 — 51,170 subscribers14 September 2026 — 51,139 subscribers16 September 2026 — 51,069 subscribers18 September 2026 — 50,963 subscribers2 October 2026 — 50,654 subscribers7 October 2026 — 50,516 subscribers11 October 2026 — 50,372 subscribers14 October 2026 — 50,296 subscribers7 August 202614 October 2026
36 measurements spanning 67 days, net -1,793. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 50,012–52,474 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
14 Oct 2026, 02:5450,296-76
11 Oct 2026, 16:4150,372-144
7 Oct 2026, 03:3850,516-138
2 Oct 2026, 09:1750,654-309
18 Sept 2026, 15:4150,963-106
16 Sept 2026, 08:3651,069-70
14 Sept 2026, 12:0151,139-31
13 Sept 2026, 00:1751,170-77
10 Sept 2026, 23:3551,247-144
7 Sept 2026, 23:4251,391-90
5 Sept 2026, 00:4151,481-78
3 Sept 2026, 10:1251,559-64
2 Sept 2026, 06:0451,623-39
1 Sept 2026, 09:2551,662-34
31 Aug 2026, 12:2851,696-25
30 Aug 2026, 15:3651,721-30
29 Aug 2026, 16:4451,751+37
28 Aug 2026, 15:5251,714-48
26 Aug 2026, 21:5951,762-9
26 Aug 2026, 00:0451,771first reading

Engagement

343 posts held, back to 6 August 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 138 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 50,296 subscribers
Avg views / post
6,940
109 posts measured
Reaction rate
0.356%
reactions ÷ views · ER floor
Posts in window
109
of 343 held

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. It is computed over the 106 of 109 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 October 2026
Posts held343 (6 August 2026 – 13 October 2026)
Views total755,980
Reactions total2,634
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Oct 2026, 08:23 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.

What this channel posts

Photos
≈2,190
Videos
≈59
Links
≈279

Lifetime counters from Telegram’s own channel header, read 14 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
40s
Average length
20s

Measured directly from 2 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.

Reaction mix

8,726 reactions across 335 posts, in 57 distinct kinds. The most used accounts for 53.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4,69253.8%
👍1,08312.4%
💩5896.75%
🔥5516.31%
👏2252.58%
😁1802.06%
🥰1571.80%
😭1441.65%
😢1391.59%
🖕1271.46%
👎921.05%
🫡860.986%
🤣690.791%
🤯370.424%
🤬310.355%
🤔300.344%
🤪290.332%
💯280.321%
👨‍💻270.309%
😡270.309%
37 further kinds3834.39%

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 335 of the 343 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 8,726 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 343 most recent posts we hold, published 6 August 2026 to 13 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.

Recent posts

13 Oct 2026, 16:19 UTC≈2,480 views6 reactionsread 14 October 2026

Tomorrow Analysis In Nifty:- https://www.instagram.com/reel/DecNmSqSUSH/?vrfl=MWw4djdzdThqOTQ4bA==

❤5👍1

13 Oct 2026, 14:08 UTC≈3,180 views7 reactionsread 14 October 2026

I am now live join fast Friend's:- https://ytapplink.com/redirect?target=https%3A%2F%2Fwww.youtube.com%2Flive%2FXkbR2ZjfiV4%3Fsi%3DuBa5YDnRB3v3YTtk

❤7

13 Oct 2026, 13:38 UTC≈3,510 views15 reactionsread 14 October 2026
Photo

The Power of EMA, Bs Isse Waja se EMA 1 Time work nahi kiya.

❤11👍4

13 Oct 2026, 13:19 UTC≈3,550 views5 reactionsread 14 October 2026

New Video :- https://ytapplink.com/redirect?target=https%3A%2F%2Fyoutu.be%2Fh97O_DOpqLY%3Fsi%3DyG7fd6YDMeQ-hqT8

❤5

13 Oct 2026, 13:18 UTC≈3,430 views14 reactionsread 14 October 2026
Photo

Same Strategy But Different Result-- Why ?

❤12👎1🗿1

13 Oct 2026, 11:07 UTC≈3,920 views41 reactionsread 14 October 2026
Photo

most Probably market yaha sideways ho skta haa.

🤪16❤13👎5🆒4🤯2🔥1

13 Oct 2026, 11:06 UTC≈3,830 views22 reactionsread 14 October 2026
Photo

After 1:1 Market reversed.

🤪13❤4🤮4😁1

13 Oct 2026, 09:39 UTC≈4,110 views11 reactionsread 14 October 2026

SL:- After Candle closing below my EMA.

❤7👍3👎1

13 Oct 2026, 09:39 UTC≈4,140 views36 reactionsread 14 October 2026
Photo

My New Entry.

❤16🤮8👍7👎2🥰2👏1

13 Oct 2026, 06:58 UTC≈4,590 views27 reactionsread 14 October 2026

Here is my EMA Setup Video Friends.

🤣10❤7💩4😁4🔥2

13 Oct 2026, 06:58 UTC≈4,680 views30 reactionsread 14 October 2026
Photo

My Next Planning, After Pullback On My EMA.

❤20👎5🔥5

Showing the 12 most recent of 343 posts we hold for @snbdia. 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.

Mentions

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

The Trade Room
@thetraderoomss · 350,471
#1
Stock Burner
@stockburner_trading · 234,894
#2
Harsh Bhagat x Vittaara™️😇
@meharshbhagat1 · 95,585
#3
TRADING LEGEND F&O
@legend_of_trading · 159,391
#4
Crypto करो ! 2026
@cryptokaroo · 51,204
#5
Devansh Rai
@tradewithdevanshrai · 125,130
#6
THE SL HUNTER
@slhunterofficial · 1,728
#7
THE INDIAN TRADER
@theitrader · 24,697
#8
Trading Techstreet- Official
@tradingtechstreetofficial07 · 115,550
#9
Trader Vogue
@trader_vogue · 1,935
#10
Abhay Trading Live☝️
@abhaytrading · 94,006
#11
IITian Trader Official
@iitiantradersaurabh · 152,120
#12
️Trading Techstreet Crypto & Gold
@tradingtechstreetcryptoforex · 34,393
#13
Crypto Universe
@shivamcryptouniverse · 56,872
#14
Shivam trading academy 📊
@shivamtradingacademy0319 · 11,489
#15
Trading Diva
@simchantrade · 12,982
#16
Vinbull Trading Academy
@officialvinbulltradingacademy · 87,443
#17
Trader gupta
@tradermannugupta · 84,952
#18
Mr Scalping Fx
@mrscalping0 · 23,850
#19
TradeMix ™
@trademix700 · 8,919
#20
🧿Swappy Trading
@SNTrading786 · 86,332
#21
Traders Bootcamp
@tradersbootcamp · 9,884
#22
Super trade of pankaj
@supertradeofpankaj1021 · 16,191
#23
Balram Chouhan Trader
@Balram_Chouhan_Trader · 4,678
#24
way2laabh.com
@way2laabh · 83,347
#25
Trading With Sidhant [NO DM]
@tradingwsidhant · 38,586
#26
Stock Trends
@STOCKK_TRENDS · 14,963
#27
THE TRADING FEMME OFFICIAL
@ThetradingfemmeDEEP · 69,909
#28
The ShineTrader
@theshinetrader · 1,883
#29
Fearless trader Shivam
@shivamtradingacad · 32,836
#30
Vivaan Traders
@VIVAANTRADERS · 67,557
#31
Trader Ansh
@freeonlineidea · 13,183
#32
Malay Singha
@SinghaStockTrader · 671
#33
Two Side Traders
@twosidetraders · 14,291
#34
Earn rule F&O
@earnrule · 955
#35
Trade with kumar
@twkofficial79 · 63,602
#36
Impact Trading Inc
@impacttradinginc · 44,668
#37
XAU/USD Cafe 🤑
@xauusdcafeofficial · 5,280
#38
The option trading
@the_option_trading · 53,582
#39
FOREX WITH ISHA
@forexlearningfx · 28,681
#40
Delta Exchange - Crypto F&O Community
@deltaexchangeyoutube · 23,055
#41
The smart trader
@k898281 · 474 (as read 24 August 2026)
#42
Earn With Pawan
@fittraderrr · 685
#43
Crypto King Keyur
@CryptoKingKeyur · 635,178
#44
Trading with karol
@tradingwithkarol · 289,676
#45
Traders Paradise Live
@tradersparadise · 250,587
#46
Trade With Sunil free group
@tradewithsunilfreegroup · 259,040
#47
Crypto kanishk chaudhary public group🌍
@cryptokanishkchaudharypremium · 136,064
#48
The Trade Room- Crypto Group
@ttrcryptogroup · 152,404
#49
Pushkar Raj Thakur Official
@PushkarRajThakurOfficial · 211,699
#50
The Finance Face Free Crypto Group
@thefinancefacefreegroup · 20,317
#51
Booming Bulls Academy
@boomingbullscompany · 357,418
#52
TradeLikeMalika
@Tradelikemalikagroup · 113,611
#53
Wealthsecretofficial
@wealthsecretofficial1 · 101,452
#54
Wise Wealth Trader
@wisewealthtrader · 368
#55
BURNER - CRYPTO MARKET
@stockburner_crypto · 225,593
#56
Grow OnSpot LIVE
@growonspot · 153,333
#57
TRADING LEGEND QTX
@realdeepwinner · 129,619
#58
Tech Forex Officials
@techforexofficiall · 32,787
#59
Pankaj sahu official ( Let's Trade)
@pankajsahuofficial · 12,113
#60
Shashwat Amrev
@tradewithamrev · 32,677
#61
CANDLE KING 〄
@candleking009 · 84,542
#62
BullScout
@bullscout · 48,524
#63
GTI by Manish
@ghosttradeindicator · 64,991
#64
Neeraj Joshi
@Neerajjoshi5014 · 203,362
#65
Dropout Trading COMMUNITY🔥📈
@DropoutKidTrading · 48,400
#66
OPTION GURU STOCK MARKET
@optionguruindia · 4,710
#67
Samer Trader
@samer_trader · 2,302
#68
Index trading with CA Nitin Murarka (SMC)
@indextradingnitin · 200,065
#69
SP TRADER 🎯
@sptraderonline1618 · 10,791
#70
BULLRUNRAJ
@yooomanprofit · 18,763
#71
Free PCR Live Data
@pcr_live_data · 2,293
#72
TradingLikeVicky
@tradinglikevicky · 6,512
#73
Boom Trade
@boomtradearyanpal · 55,100
#74
Gokul Chhabra | SEBI Registered RA
@dilsetrader7 · 88,596
#75
Angel One
@Official_AngelOne · 301,249
#76
GHANSHYAM TECH ANALYSIS
@GHANSHYAMTECH · 268,764
#77
TheSigmaBull (PREMIUM)
@sigmabull · 40,373
#78
Stock Wale Bhaiyaa Learning Group
@swblearning · 56,126
#79
MoC Airdrop💰
@MoC_Airdrop · 28,582
#80
Exness - VN Partner Community
@exnessvnpartners · 2,828
#81
Navjot Brar
@NAVJOTBRAR911 · 212,370
#82

Read from Telegram’s recommendation API, most recently 24 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

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.

Trader Pankaj Gupta
@traderpankajgupta123 · 20,922
Telegram ranks this channel #17 of 63 here — alongside 62 others — read 24 September 2026
The Finance Face Free Crypto Group
@thefinancefacefreegroup · 20,317
Telegram ranks this channel #30 of 70 here — alongside 69 others — read 29 September 2026
THE INDIAN TRADER
@theitrader · 24,697
Telegram ranks this channel #43 of 76 here — alongside 75 others — read 14 September 2026
Navjot Brar
@NAVJOTBRAR911 · 212,370
Telegram ranks this channel #61 of 79 here — alongside 78 others — read 17 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“Mrstarsahil” (@snbdia), 50,296 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/snbdia.

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.