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…

Channel
Pivot Call
@pivotcalls
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
24,924subscribers
-773 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 March 2016 and 30 November 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 30 October 2026 |
| Measurements held | 55 |
| Confirmed unchanged | 1 time, most recently 30 October 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 |
|---|---|---|
| 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 | -5 |
| 20 Oct 2026, 08:55 | 25,015 | -10 |
| 19 Oct 2026, 06:06 | 25,025 | -12 |
| 18 Oct 2026, 07:56 | 25,037 | -10 |
| 17 Oct 2026, 11:29 | 25,047 | -2 |
| 16 Oct 2026, 12:27 | 25,049 | -7 |
| 15 Oct 2026, 13:47 | 25,056 | -7 |
| 14 Oct 2026, 17:15 | 25,063 | -11 |
| 13 Oct 2026, 04:57 | 25,074 | -29 |
| 9 Oct 2026, 00:17 | 25,103 | -28 |
| 4 Oct 2026, 15:21 | 25,131 | first reading |
Engagement
58 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 119 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.4%
- avg views ÷ 24,924 subscribers
- Avg views / post
- 3,340
- 15 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 15
- of 58 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 30 October 2026 |
|---|---|
| Posts held | 58 (26 June 2026 – 30 October 2026) |
| Views total | 50,080 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Oct 2026, 11:52 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
- ≈1,180
Lifetime counters from Telegram’s own channel header, read 31 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.
Recent posts
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…
Why Does CPR Work as Support/Resistance on Some Days but Fail on Others? Bank Nifty on 21st and 22nd October is a perfect example. On Wednesday, 21st October, CPR failed to act as strong support. But the very next day, on 22nd October(Yesterday), it acted as resistance. Why did CPR behave differently on two consecutive trading days? When I first discovered the CPR (Central Pivot Range) concept many years ago, I w…
How to Identify a Strong PDH or PDL? 🔴 PDH + Supply Zone confluence: Did a strong sell-off begin from the previous day's high? This can indicate potential resistance. 🟢 PDL + Demand Zone confluence: Did a strong rally begin from the previous day's low? This can indicate potential support. When multiple technical factors align around the same price, it creates a Confluence Zone, increasing the potential for a meani…
Not Every PDH & PDL Is a Strong Support/Resistance. Here’s How to Identify the Difference! Many traders mark the Previous Day High (PDH) and Previous Day Low (PDL), assuming they will automatically act as strong resistance and support. But the real edge lies in identifying the confluence behind these levels. Let’s look at Bank Nifty on 21st October. Price initially broke above the first candle’s high, creating th…
On this day, 9:45 AM candle made a reversal from the supply zone, offering a potential short setup. Later, around 12:00 PM candle broke below the demand zone, creating another potential short opportunity. ⚠️ Remember: Risk management is essential. At around 11:40 AM, a bullish pin bar appeared near the demand zone, but the setup failed. This is why every trade needs a stop loss. When a setup fails, limit the loss; w…
The Simpler Your Trading, the Better. You don't need dozens of indicators to understand the market. Sometimes, all you need is to identify where aggressive buyers and sellers are entering the market. That’s the power of Supply and Demand Zones. 📊 Look at Nifty on 19th October(Monday) 🔴 9:20 AM — Supply Zone: A strong sell-off created an important supply zone, indicating selling pressure around that price. 🟢 9:30…
https://youtu.be/MEDGmONonE0
When two or more important levels come together around the same price, the zone becomes a higher-probability confluence area. That’s what can help you separate an ordinary PDH/PDL from a high-probability trading zone. This concept is explained in Page 279 of The Trader’s Handbook. https://shop.pivotcall.com/product/handbook/
Showing the 12 most recent of 58 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 · 27,417#1
@themadrastrader1 · 63,176#2
@PivotRangers · 397 (as read 14 September 2026)#3
@legend_of_trading · 158,600#4
@VpFinancials · 69,368#5
@OptionsScalping · 28,719#6
@SuperTraderLakshya · 125,125#7
@natarajmalavadeofficial · 2,419#8
@tradinghubreal · 36,660#9
@supplydemand2 · 895#10
@orderflowasok · 3,134#11
@transparentoptiontrader · 659#12
@traderchitra · 9,485#13
@besttradingview · 2,593#14
@Shoonya_Finvasia · 1,975#15
@mindfluentialtrading · 16,337#16
@TRR_Group · 852 (as read 14 September 2026)#17
@traderslibrary4 · 18,830#18
@NeeteshPathakOfficial · 3,356#19
@TradersVideo_Library · 42,214#20
@radhiyaduvanshi · 2,419#21
@algotechniques · 1,976#22
@becomeanindependenttrader · 54,997#23
@BloombergQ · 7,565#24
@wdgann81 · 2,571#25
@JoinDhan · 50,192#26
@analysisacadem · 7,003#27
@Robobanknifty · 1,909#28
@squareOff_Channel · 13,448#29
@aatradingblog · 22,812#30
@Trade_In_Green · 895#31
@ttkyoutube · 10,408#32
@TradingEducati0ns · 18,029#33
@coursestools · 2,957#34
@info4invest · 5,856#35
@mstradinganalysis · 10,213#36
@thetraderoomss · 356,826#37
@MindHacksTrading · 1,166#38
@Trading_Geeks_Official · 12,073#39
@Seiriinvestmenttelegram · 72,902#40
@PowerOfStocks · 269,880#41
@itjegan · 11,459#42
@thetagainers · 110,992#43
@fnotraders · 6,198#44
@aravinthyohanofficial · 4,299#45
@Pivott_Digital_Library · 1,698#46
@tradingcafeindia · 84,894#47
@FlyingcallsArjun · 58,849#48
@TheSachinTrades · 1,852#49
@OptionMateEducation · 13,754#50
@tradebanknifty · 2,529#51
@simpletrader66 · 9,069#52
@BreakingTrade_rajat · 533 (as read 14 September 2026)#53
@multibaggers_valuepicks · 37,391#54
@DerivativeTradingStrategies · 2,336#55
@multitimeframevwapanalysis · 1,280#56
@marketsecrets · 2,646#57
@SilentTrader24 · 2,375#58
@stocXpertTeluguTrader · 1,195#59
@GHANSHYAMTECH · 266,155#60
@chartgalaxyin · 3,564#61
@noiselesstradingclub · 4,240#62
@lalitkishoreLKS · 4,971#63
@stockideaofficial · 523,476#64
@Price_Action_Independent_Trading · 1,379#65
@ganndecoder · 10,140#66
@tamilcryptotutorials · 6,981#67
@Institutional_Trader · 970#68
@chartians · 56,714#69
@SnowBallsm · 23,518#70
@etmarketsclubelite · 7,118#71
@udupafinance · 26,204#72
@FreeTradingSoftwaree · 11,605#73
@gaiavideosstream · 7,506#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 · 27,417
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 10 September 2026
@themadrastrader1 · 63,176
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 21 August 2026
@udupafinance · 26,204
Telegram ranks this channel #71 of 85 here — alongside 84 others — read 11 September 2026
@PowerOfStocks · 269,880
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 30 October 2026 — this entry's latest reading, not the date you are reading this.
“Pivot Call” (@pivotcalls), 24,924 subscribers as measured 30 October 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.