Channel
@Sivafundamentals
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,247subscribers
+40 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001068744397 |
|---|---|
| Type | Channel |
| Username | @Sivafundamentals |
| Created | Between 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/Sivafundamentals |
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 14 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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 |
|---|---|---|
| 17 Sept 2026, 14:00 | 3,247 | +5 |
| 13 Sept 2026, 06:59 | 3,242 | +4 |
| 9 Sept 2026, 00:20 | 3,238 | +3 |
| 3 Sept 2026, 16:35 | 3,235 | +5 |
| 31 Aug 2026, 12:04 | 3,230 | +5 |
| 24 Aug 2026, 17:47 | 3,225 | +2 |
| 21 Aug 2026, 09:47 | 3,223 | +2 |
| 18 Aug 2026, 13:56 | 3,221 | +6 |
| 15 Aug 2026, 16:23 | 3,215 | -2 |
| 12 Aug 2026, 11:16 | 3,217 | +6 |
| 9 Aug 2026, 09:52 | 3,211 | +4 |
| 6 Aug 2026, 04:49 | 3,207 | no change |
| 5 Aug 2026, 23:21 | 3,207 | first reading |
39 posts held, back to 5 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 3 pages 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 39 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
11 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 36.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 36.4% | |
| 🔥 | 4 | 36.4% | |
| 😁 | 2 | 18.2% | |
| 🥰 | 1 | 9.09% |
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 11 of the 39 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 5 August 2026 to 7 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.
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Sticker, posted without a caption
JPMORGAN ON PREMIER ENERGIES Recommendation: Overweight Target Price: ₹1,095 Key Takeaways: Q1 results were largely in line with expectations Brokerage views the quarter as largely uneventful Premier's focus on the domestic market over exports provided greater stability during the quarter Domestic-oriented strategy continues to support operational resilience amid global market volatility
🥰1
Samvardhana Motherson | CLSA | O-P | TP: ₹190 Q1FY27 Performance - EBITDA margin: 8.8% - Up 65 bps YoY - In line with estimate - Revenue grew ~17% YoY - Supported by emerging businesses - Emerging businesses grew 30% YoY Growth Drivers - Gradual ramp-up in non-auto businesses - Focus on consumer electronics - Organic growth of ~14% CAGR over FY26-28CL - Continued steady execution in auto segments Inorganic Growth …
🔥1
Samvardhana Motherson | Jefferies | Buy | TP: ₹190 Q1FY27 Performance - Jun-Q recurring PAT grew 55% YoY - 5% above JEFe Growth Drivers - Expansion in electronics - Expansion in aerospace - Recent acquisitions - Recovery in North America CVs Margins - High commodity prices may pressure margins - Costs usually passed on - With 1–2 quarter lag Estimate Revision - FY27-29E EPS raised by 2–3% - FY26-29 EPS CAGR: 24%
🔥1
SBI | Q1 FY27 RESULTS Q1 Highlights - Net profit rose 10.2% YoY to ₹21,121 crore. - NII increased 15% YoY to ₹46,992 crore. - PPoP stood at ₹33,530 crore. - Gross NPA improved to 1.47%. - Net NPA improved to 0.38%. - Provisions increased to ₹5,047 crore. - Profit, NII and PPoP beat estimates. Growth Impact - Healthy earnings momentum. - Asset quality continues improving. - Strong core operating performance.
Electronics Mart India Ltd Q1FY27 Results:- Revenue 2418.95 Cr vs 1739.39 Cr (+39.07% YoY┃+26.43% QoQ) EBITDA 238.94 Cr vs 110.05 Cr (+117.13% YoY ┃+85.64% QoQ) EBITDA Margin 9.88% vs 6.33% YoY & 6.73% QoQ PBT Ex-Exceptional Items 162.07 Cr vs 37.07 Cr (+337.20% YoY┃+228.16% QoQ) PAT 120.64 Cr vs 21.62 Cr (+458.07% YoY┃+203.61% QoQ) Other Income 1.95 Cr vs 1.26 Cr YoY & 1.46 Cr QoQ Last Q4 Exceptional Gain of …
❤1
L&T UPDATE | MAJOR ONGC OFFSHORE EPCIC ORDER WIN ONGC Offshore Orders - Won major ONGC offshore orders. - Order value ₹5,000–10,000 crore. - Includes PRP-X and Well Head projects. - EPCIC scope for pipelines and platforms. - Projects off India's west coast. - Strengthens offshore EPCIC leadership. Growth Impact - Boosts order book. - Enhances revenue visibility. - Supports long-term infrastructure growth.
MAULIK МЕНТА DEEPAK NITRITE Cos That Are Able To Secure RM & Customers Are Able To Do Well During West Asia Crisis Have Focussed On Ensuring Raw Material Availability For Co See A Strong Year Ahead, Expect Performance Momentum To Sustain Will Invest Around ₹11,000 Cr In Capex Over Next 3 Years Upstream Assets Are Up And Running
PG Electroplast | Management Commentary & FY27 Guidance Growth Guidance - Revenue growth guidance 25–30% for FY27. - Similar growth expected in FY28. - Management sees strong demand visibility. - Confident of sustaining growth. Margin Guidance - FY27 EBITDA Margin (Ex-PLI) 8%. - Q1 FY27 EBITDA Margin 7%. - PLI incentives over and above 8%. - Reported EBITDA margin expected to exceed 8%. Management Commentary - Gro…
❤1
Texmaco Rail & Engineering: Executes MoU with Skoda Digital S.R.O., Czech Republic to explore business opportunities in railway digitalization solutions
Photo, posted without a caption
Showing the 12 most recent of 39 posts we hold for @Sivafundamentals. 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.
Named by 1 registered channel — 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.
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 13 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“SIVA fundamentals (Study Purposes)🔥 🔥” (@Sivafundamentals), 3,247 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Sivafundamentals.
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.