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Channel

Pivot Call

@pivotcalls

On this record: Growth · Engagement · Posts · Telegram's recommendations · Cite this entry

25,620subscribers

-77 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001142313730
TypeChannel
Username@pivotcalls
CreatedBetween 1 May 2017 and 31 July 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/pivotcalls

Growth

25,62025,69725,658.56 August 2026 — 25,697 subscribers6 August 2026 — 25,697 subscribers7 August 2026 — 25,693 subscribers8 August 2026 — 25,683 subscribers9 August 2026 — 25,671 subscribers10 August 2026 — 25,646 subscribers11 August 2026 — 25,640 subscribers12 August 2026 — 25,631 subscribers13 August 2026 — 25,620 subscribers6 August 202613 August 2026
9 measurements spanning 7 days, net -77. 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 25,608–25,709 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:3625,620-11
12 Aug 2026, 11:3725,631-9
11 Aug 2026, 08:0325,640-6
10 Aug 2026, 09:0025,646-25
9 Aug 2026, 06:4125,671-12
8 Aug 2026, 09:3625,683-10
7 Aug 2026, 11:4125,693-4
6 Aug 2026, 20:3025,697no change
6 Aug 2026, 20:2825,697first reading

Engagement

18 posts held, back to 26 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 25,620 subscribers
Avg views / post
3,530
15 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
15
of 18 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held18 (26 June 20268 August 2026)
Views total52,970
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 11:29 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.

Recent posts

8 Aug 2026, 02:54 UTC≈2,340 viewsread 13 August 2026

When Bank Nifty revisited the same level Yesterday, on 7th August, buyers stepped in once again, and the market bounced from that exact level. The lesson is simple: When PDH + Supply Zone or PDL + Demand Zone coincide, that level becomes a Confluence Zone—and the probability of it acting as a strong resistance or support increases significantly. This concept is explained in detail in The Trader's Handbook Page 279

8 Aug 2026, 02:54 UTC≈2,250 viewsread 13 August 2026
Photo

Yesterday, I explained why not every Previous Day High (PDH) and Previous Day Low (PDL) is equally important. In yesterday's post, we saw how Nifty reversed from the Previous Day High because it was not just a PDH—it was also a strong Supply Zone. Today, let's look at the opposite example in Bank Nifty. Yesterday, 7th August, Bank Nifty took support exactly at the Previous Day Low and bounced sharply. Was it simp

7 Aug 2026, 03:22 UTC≈2,740 viewsread 13 August 2026

Because the 5th August (Wednesday) High was not just a Previous Day High(PDH) It was also a Supply Zone. A strong bearish move had started from that level right at opening on 5th August, which tells us that aggressive sellers were already present there at PDH. When price revisited the same level yesterday, those sellers became active again, causing the reversal and breakout to fail. The same principle applies to th

7 Aug 2026, 03:21 UTC≈2,280 viewsread 13 August 2026
Photo

Not every Previous Day High (PDH) or Previous Day Low (PDL) is an important support or resistance level. One of the biggest mistakes traders make is assuming that every PDH and PDL will work as support or resistance. They don't. The real question is: How do you identify which PDH/PDL is powerful and which isn't? Take Nifty on 6th August (Yesterday) as an example. Price initially broke above the Previous Day High

31 Jul 2026, 03:17 UTC≈4,050 viewsread 13 August 2026

Since Nifty and Bank Nifty move in tandem most of the time, a breakout in one index without confirmation from the other has a higher chance of failing. As soon as Bank Nifty reversed from its day high resistance, Nifty also lost momentum and reversed, resulting in a fake breakout. The lesson is simple: A breakout becomes a higher-probability setup when both Nifty and Bank Nifty confirm the move together. If one i

31 Jul 2026, 03:17 UTC≈3,670 viewsread 13 August 2026
Photo

On 29th July (Wednesday), Nifty opened with a Gap-Up. On such gap-up days, the Day's High and Day's Low become important support and resistance levels because they form the Gap Borders. Nexy day, on 30th July(yesterday), Nifty opened and, as expected, started facing resistance at the Previous Day High (Upper Gap Border). Around 12:30 PM, a large bullish candle broke above the previous Day's High. At first glance, i

29 Jul 2026, 03:11 UTC≈3,520 viewsread 13 August 2026

The lesson here is simple: When trading intraday, don't limit your analysis to the 5-minute chart. Along with: Swing Highs & Swing Lows/Supply & Demand Zones, also mark 20 EMA level. Many traders focus only on horizontal support and resistance but ignore 20 EMA on daily time frame chart which also very important level. Learn Price Action: https://pivotcall.com/courses/

29 Jul 2026, 03:11 UTC≈3,140 viewsread 13 August 2026
Photo

Yesterday (28th July), Nifty broke the Previous Day High in the very first candle. This was an important level because 27th July was a Gap-Up Day, making the Previous Day High the Upper Gap Border. Yesterday The first candle gave a bullish breakout above the gap border. Many traders would have expected the market to continue rallying from there. But it didn't. After the breakout, Nifty reversed and remained side

26 Jul 2026, 03:54 UTC≈4,520 viewsread 13 August 2026

But remember... This does not mean every gap will be filled immediately or that every gap fill will result in a reversal. Instead, treat gap areas as high-probability price action zones where the market deserves your close attention. This Gap concept is covered in our book " A Trader's HandBook" https://shop.pivotcall.com/product/handbook/

26 Jul 2026, 03:54 UTC≈4,180 viewsread 13 August 2026
Photo

One of the popular sayings in Price Action Trading is: "Markets don't like gaps." What does that mean? Whenever a gap is created on the chart, the market has a tendency to revisit that area and eventually fill the gap. While there is no guarantee about when it will happen, many gaps do get filled over time. Take Nifty as an example. Between 12th June and 15th June, a significant gap-up was created. As you can se

24 Jul 2026, 03:15 UTC≈4,660 viewsread 13 August 2026

When a breakout occurs along with multiple levels, the probability of breakout working increases. But remember... A Narrow CPR does not guarantee always a trending day. It's the confluence of multiple factors that creates a high-probability setup. That is the difference between novice traders and professional traders. Professionals never trade with overconfidence. They trade with probability, discipline, and str

Showing the 12 most recent of 18 posts we hold for @pivotcalls. 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.

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.

Power Of Stocks
@PowerOfStocks · 278,022
Telegram ranks this channel #77 of 89 here — alongside 88 others — read 10 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Pivot Call” (@pivotcalls), 25,620 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/pivotcalls.

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.