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Channel
Pivot Call
@pivotcalls
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
24,839subscribers
-858 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 |
|---|---|
| Type | Channel |
| Username | @pivotcalls |
| Description | Welcome to the official Pivot Call Telegram channel. |
| Created | Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/pivotcalls |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 16:11 | 24,839 | -9 |
| 9 Nov 2026, 01:01 | 24,848 | -6 |
| 7 Nov 2026, 14:50 | 24,854 | -11 |
| 6 Nov 2026, 15:17 | 24,865 | -6 |
| 5 Nov 2026, 17:51 | 24,871 | -13 |
| 4 Nov 2026, 15:56 | 24,884 | -10 |
| 3 Nov 2026, 16:47 | 24,894 | -7 |
| 2 Nov 2026, 18:45 | 24,901 | -6 |
| 1 Nov 2026, 15:09 | 24,907 | +1 |
| 31 Oct 2026, 16:21 | 24,906 | -18 |
| 30 Oct 2026, 14:34 | 24,924 | -18 |
| 29 Oct 2026, 14:36 | 24,942 | +4 |
| 28 Oct 2026, 16:48 | 24,938 | -12 |
| 27 Oct 2026, 20:08 | 24,950 | -8 |
| 26 Oct 2026, 16:18 | 24,958 | -8 |
| 25 Oct 2026, 14:39 | 24,966 | -7 |
| 24 Oct 2026, 16:56 | 24,973 | -9 |
| 23 Oct 2026, 13:39 | 24,982 | -6 |
| 22 Oct 2026, 16:50 | 24,988 | -22 |
| 21 Oct 2026, 08:48 | 25,010 | first reading |
Engagement
65 posts held, back to 26 June 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 139 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.5%
- avg views ÷ 24,839 subscribers
- Avg views / post
- 3,110
- 17 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 17
- of 65 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.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 65 (26 June 2026 – 11 November 2026) |
| Views total | 52,900 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 00:32 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
- ≈2,850
- Videos
- ≈5
- Links
- ≈1,190
Lifetime counters from Telegram’s own channel header, read 12 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 17 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Don't predict a reversal just because the market has opened with a big gap. Instead: 1️⃣ Mark the Initial Balance (IB) — the High and Low of the first one hour. 2️⃣ Wait for price to break either IBH or IBL. 3️⃣ Look for price action confirmation and trade in the direction of the breakout. On 5th November, Bank Nifty gave a good long opportunity when the 11:25 AM candle broke the Initial Balance High, followed b…
One common mistake traders make after a big gap-up is immediately looking for a reversal short trade, expecting the gap to get filled. Yes, many gaps eventually get filled. But the size of the gap matters! 📌 Small Gap-Up: There is a greater possibility of the gap getting filled. 📌 Very Big Gap-Up: Don't automatically expect a reversal. Such gaps can remain unfilled, and the market may continue moving higher. Look…
When both indices approach their respective support zones simultaneously, the possibility of a bullish reversal becomes more interesting, especially when price action confirms buying interest. The same principle applies to resistance. The BIG Lesson: Don't analyse Nifty and Bank Nifty in isolation. Always keep both charts open together. Before taking an intraday trade, check whether the other index is also approa…
One of the least-discussed concepts in intraday trading is the correlation between Nifty and Bank Nifty. If you observe both charts closely, you will notice something interesting. When Nifty is bullish, Bank Nifty often moves higher, and when Bank Nifty is bullish, Nifty often follows — and vice versa In simple words, Nifty and Bank Nifty often move in tandem. But here's where this correlation becomes really usef…
Four Important Entry Opportunities on a Trending Day 📍 1. Breakout of Previous Day High (PDH) When price breaks above PDH and sustains the move, it can offer an opportunity to enter in the direction of the trend. 📍 2. Retracement to 20 EMA In a strong uptrend, price often pulls back towards the 20 EMA before continuing higher. Watch for entry opportunities around this area. 📍 3. Retracement to Previous Swing Low A…
Trending days can offer some of the best risk-reward opportunities in intraday trading. But the biggest challenge is knowing when a trending day is developing. Once you start noticing a pattern of Higher Highs and Higher Lows, don't jump into every candle out of FOMO. Instead, be patient and wait for price to come to important levels where you can get a better entry with a defined stop loss.
📊 Look at Nifty on 28th October. Around 10:15 AM, Nifty broke below the day’s low, giving traders a potential breakdown signal. But around 10:35 AM, the breakdown failed, and price reversed sharply. Traders who entered short on the breakdown were now at risk of getting trapped, while the failed breakdown created a potential opportunity in the opposite direction. How Can You Identify a Potential Fake Breakout? Al…
Many traders love trading breakouts because they expect a strong move once price breaks an important level. But after years of trading, I’ve learned something interesting: A fake breakout is more powerful than real breakout in Intraday trading. Why? When a breakout fails, traders who entered in the breakout direction can get trapped. As their stop losses get triggered, the resulting price movement can accelerate i…
Look at what happened on these two days: ✅ Daily Time Frame: Bank Nifty was in a clear downtrend. ✅ 21st October: Bank Nifty opened above CPR. Despite being above CPR, the bearish higher-time-frame trend meant CPR may not work as support. ✅ 22nd October: Bank Nifty opened below CPR. With the daily trend still bearish, CPR likely to work as resistance. The difference wasn't necessarily the CPR itself. It was the c…
Showing the 12 most recent of 65 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.
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.
@cprbykgs · 27,341#1
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@PivotRangers · 397 (as read 14 September 2026)#3
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@VpFinancials · 68,928#5
@OptionsScalping · 28,584#6
@SuperTraderLakshya · 124,699#7
@natarajmalavadeofficial · 2,410#8
@tradinghubreal · 36,455#9
@supplydemand2 · 898#10
@orderflowasok · 3,124#11
@transparentoptiontrader · 656#12
@traderchitra · 9,474#13
@besttradingview · 2,573#14
@Shoonya_Finvasia · 2,013#15
@mindfluentialtrading · 16,261#16
@TRR_Group · 852 (as read 14 September 2026)#17
@traderslibrary4 · 18,770#18
@NeeteshPathakOfficial · 3,342#19
@TradersVideo_Library · 42,399#20
@radhiyaduvanshi · 2,408#21
@algotechniques · 1,969#22
@becomeanindependenttrader · 54,804#23
@BloombergQ · 7,587#24
@wdgann81 · 2,561#25
@JoinDhan · 50,368#26
@analysisacadem · 6,947#27
@Robobanknifty · 1,926#28
@squareOff_Channel · 13,396#29
@aatradingblog · 22,682#30
@Trade_In_Green · 891#31
@ttkyoutube · 10,348#32
@TradingEducati0ns · 17,937#33
@coursestools · 2,951#34
@info4invest · 5,831#35
@mstradinganalysis · 10,225#36
@thetraderoomss · 359,453#37
@MindHacksTrading · 1,163#38
@Trading_Geeks_Official · 12,002#39
@Seiriinvestmenttelegram · 106#40
@PowerOfStocks · 268,755#41
@itjegan · 11,430#42
@thetagainers · 110,540#43
@fnotraders · 6,203#44
@aravinthyohanofficial · 4,289#45
@Pivott_Digital_Library · 1,693#46
@tradingcafeindia · 91,261#47
@FlyingcallsArjun · 58,999#48
@TheSachinTrades · 1,852#49
@OptionMateEducation · 14,128#50
@tradebanknifty · 2,522#51
@simpletrader66 · 9,026#52
@BreakingTrade_rajat · 533 (as read 14 September 2026)#53
@multibaggers_valuepicks · 37,231#54
@DerivativeTradingStrategies · 2,316#55
@multitimeframevwapanalysis · 1,273#56
@marketsecrets · 2,639#57
@SilentTrader24 · 2,367#58
@stocXpertTeluguTrader · 1,187#59
@GHANSHYAMTECH · 264,323#60
@chartgalaxyin · 3,525#61
@noiselesstradingclub · 4,230#62
@lalitkishoreLKS · 4,939#63
@stockideaofficial · 565,676#64
@Price_Action_Independent_Trading · 1,372#65
@ganndecoder · 10,141#66
@tamilcryptotutorials · 6,950#67
@Institutional_Trader · 968#68
@chartians · 57,048#69
@SnowBallsm · 23,472#70
@etmarketsclubelite · 7,104#71
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@FreeTradingSoftwaree · 11,528#73
@gaiavideosstream · 7,505#74
Read from Telegram’s recommendation API, most recently 14 September 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.
@cprbykgs · 27,341
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 10 September 2026
@themadrastrader1 · 62,859
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 21 August 2026
@udupafinance · 26,034
Telegram ranks this channel #71 of 85 here — alongside 84 others — read 11 September 2026
@PowerOfStocks · 268,755
Telegram ranks this channel #77 of 89 here — alongside 88 others — read 10 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Pivot Call” (@pivotcalls), 24,839 subscribers as measured 10 November 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.