⚠️Bank of Amerika, Citibank, Hsbc gibi kurumların Carry Trade’den son zamanlarda çıkış yaptığını görebiliyoruz. Bilmeyenler için carry trade ne demek? Yabancının, döviz kurunun faizden yada burada yatırım yapacağı bir varlıktan daha az artacağını tahmin edip dövizini bozup TL varlıklara yatırım yapması. TL varlıklara yatırım yapılması için aylardır doları baskılıyorduk. Fakat Carry Trade yapan kurumlardan son dönem…

Channel
BORSA'NIN PATRONU
@borsapatronn
On this record: Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry
4,559subscribers
-2,764 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001796663299 |
|---|---|
| Type | Channel |
| Username | @borsapatronn |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/borsapatronn |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 16:40 | 4,559 | -54 |
| 2 Sept 2026, 13:23 | 4,613 | -123 |
| 30 Aug 2026, 20:34 | 4,736 | -170 |
| 27 Aug 2026, 17:17 | 4,906 | -64 |
| 25 Aug 2026, 00:13 | 4,970 | -102 |
| 21 Aug 2026, 19:15 | 5,072 | -2,241 |
| 18 Aug 2026, 23:55 | 7,313 | -10 |
| 18 Aug 2026, 18:45 | 7,323 | first reading |
Engagement
25 posts held, back to 11 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 4 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 58.0%
- avg views ÷ 4,559 subscribers
- Avg views / post
- 2,650
- 25 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 25
- of 25 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 20 August 2026 |
|---|---|
| Posts held | 25 (11 August 2026 – 20 August 2026) |
| Views total | 66,139 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Aug 2026, 12:50 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
Bist100 Para Giriş/Çıkışları 🔹En çok para girişi olan hisseler: #Thyao #Genil #Altny #Sise #Sasa ♦️En çok para çıkışı olan hisseler: #Eregl #Astor #Asels #Tuprs #Tcell
📊 09.40 Teorik Eşleşmeler ⚪️ #Veyas Nötr eşleşiyor. 🟢 #Tknka Tavanda 74,1 milyon lot alım emiri ile eşleşiyor. 🟢 #Citas Tavanda 18,1 milyon lot alım emiri ile eşleşiyor.
#Citas Tera Yatırım'ın Çitlekçi Mağazacılık’taki pay oranı %79,72’den %0,61’e geriledi. Tunçlar Yatırım Holding’in Çitlekçi Mağazacılık’taki pay oranı %0’dan %79,72’ye yükseldi. 👉 Kısaca patron arz edilen payları geri aldı.
#Citas dün kapanışa doğru el değiştirme oranı bir anda %34’e çıkmıştı. Akd’den gördüğümüz kadarıyla Deniz ve A1 arasında el değiştirme oranının yüksek gözükmesi için işlem yapılmış olabilir demiştim. Öyle de olduğunu görüyoruz. Bugünkü el değiştirme oranı sadece %3,3 Tera halen alıma devam ediyor fakat tavan bozma riski yok demek değil. Bir satış geldiği yada risk gördüğüm anda bilgilendirme yapacağım.
📊 11:00 Bank of America’nın işlem yaptığı hisseler 🔹 Aldıkları: #Ulker #Kchol #İsctr #Dapgm #Meten ♦️ Sattıkları: #Sasa #Crfsa #Tmpol #Ykbnk #Efor 🔼Net Hacim: +249 Milyon TL
#Karcl alıntıladığım mesajda da yazdığım gibi bu muazzam takas ile bu hisse gitmesinde hangi hisse gitsin. Arz olduğu hafta 4 adet arz vardı. Finansal olarak en kötü arzdı ama içlerinde en çok giden bu hisse oldu. Bu yüzden tüm arzları satmamak üzere alıyorum. Şirketin ne olduğunun önemi yok 100 şirket içerisinden 3-4 şirket güzel yükseliş yapsa zaten portföy çok güzel rakamlara ulaşıyor. Tavan serisinin nereye ka…
#Citas bugün tavan bozma ihtimali yüksek fakat Tera izin vermeyebilir. Bundan sonrası tamamen Konsorsiyum Lideri ve en yüksek paya sahip Tera Yatırım’a bağlı. Kendi düşüncem: Tavan serisi devam edebilir fakat riskli. Ben sadece tavan serisi için giriyorum %3/5 düşüşe bile dayanamam diyenler satabilir.
📊09:50 Teorik Eşleşmeler ⚠️ #Citas Tavanda 12,7 milyon lot alım emiri ile tavan eşleşiyor. #Quick %0,07 pozitif eşleşiyor. #Karcl Tavanda 121 bin lot alım emiri ile eşleşiyor. #Masfn %0,80 negatif eşleşiyor. #Albtn %0,45 pozitif eşleşiyor. #Meten %2,96 pozitif eşleşiyor. #Sarae nötr eşleşiyor. #Betae %0,51 pozitif eşleşiyor.
📊09:43 Teorik Eşleşmeler #Citas Tavanda 43,2 milyon lot alım emiri ile tavan eşleşiyor. #Quick nötr eşleşiyor. #Karcl Tavanda 172 bin lot alım emiri ile eşleşiyor. #Masfn %0,62 negatif eşleşiyor. #Albtn %0,45 pozitif eşleşiyor. #Meten %4,96 pozitif eşleşiyor. #Sarae nötr eşleşiyor. #Betae %0,51 pozitif eşleşiyor.
📊 Bank of America’nın işlem yaptığı hisseler 🔹 Aldıkları: #Krdmd #Tralt #Garan #Eregl #Bjkas ♦️ Sattıkları: #Sıse #Astor #Enkaı #Thyao #Kchol 🔽Net Hacim: -1,6 Milyar TL
#Tknka Toplamda 493 bin yatırımcıya pay dağıldı. Bireysel yatırımcılara maksimum 38 adet (3.245 TL) dağıtım yapıldı. Oransal dağıtıma ise %3,5 dağıtım yapıldı.
Showing the 12 most recent of 25 posts we hold for @borsapatronn. 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.
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.
@arzduyurum · 37,392
Telegram ranks this channel #3 of 63 here — alongside 62 others — read 2 September 2026
@Borsa_Hisse_Haber · 50,457
Telegram ranks this channel #4 of 73 here — alongside 72 others — read 25 August 2026
@HalkaArzz · 50,605
Telegram ranks this channel #9 of 82 here — alongside 81 others — read 25 August 2026
@halka_arz1 · 492,740
Telegram ranks this channel #12 of 84 here — alongside 83 others — read 18 August 2026
@halka_arz2 · 150,809
Telegram ranks this channel #16 of 85 here — alongside 84 others — read 18 August 2026
@halka_arz3 · 69,717
Telegram ranks this channel #24 of 71 here — alongside 70 others — read 20 August 2026
@BORSAIZINDEOFFICAL · 68,494
Telegram ranks this channel #25 of 80 here — alongside 79 others — read 20 August 2026
@FxSpaceGlobal · 245,923
Telegram ranks this channel #26 of 73 here — alongside 72 others — read 18 August 2026
This channel appears in 8 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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“BORSA'NIN PATRONU” (@borsapatronn), 4,559 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/borsapatronn.
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.