Channel
@rdv_putinomics
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
55subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001454340092 |
|---|---|
| Type | Channel |
| Username | @rdv_putinomics |
| Description | Russian economy and stock market. We write the way investment banks, brokers and newspapers don't. Connected to top information sources in Russia. Strategic issues: @dragonwoo |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/rdv_putinomics |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 08:00 | 55 | no change |
| 6 Aug 2026, 06:48 | 55 | first reading |
20 posts held, back to 2 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 20 posts for this entry, the most recent from 6 May 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Computing power is becoming the key commodity of the AI era. The market is no longer rewarding companies for simply attaching “AI” to their story. It is rewarding those that control the infrastructure AI depends on: chips, memory, power supply and servers. #AI #global_markets Over the past 3.5 years, the leaders of the AI cycle have delivered multi-fold returns. The figure in brackets shows the stock’s average annua…
Russia’s political course has been one of the key forces behind the performance of Russian equities in recent years, along with the broader international stance toward Russia. For this retrospective, we looked at a company from a broadly comparable economy, but outside Russia’s sanctions perimeter: Kazakhstan’s Kazatomprom, which RDV had been tracking from 2019 to 2022. #RDV_retrospective 👉 As of February 22, 2022:…
Since 2013, the US market has gained 390% in dollar terms, while the RTS Index has fallen 23%. What explains such a wide gap in returns for passive equity investors in these two markets? We would like to invite you to join an interesting discussion on the growth of wealth for two types of investors. To do this, we analyzed the performance of US and Russian equity indices since 2013. The S&P 500 delivered 13% per ye…
Long-term corporate bonds could yield investors a 50% annual return if monetary policy normalizes within the next 12 months. #analytics Earlier, we discussed the beneficiaries of monetary policy easing in a cooling economy. Now let’s look at the beneficiaries in the bond market. Bonds are generally a more defensive instrument during a recession, as they are protected by the equity capital buffer. Moreover, the effec…
SPIEF 2025: June 18–21. What will be in the spotlight? Main event: Putin’s speech – June 20 What could matter for public equities and OFZs? #Tactics_on_Russia ✍️ Based on current trends and past experience: ✍️ Expect strong pressure on the Central Bank over tight monetary policy and the strong ruble. ✍️ Novatek (NVTK) and Gazprom (GAZP) are the companies with the most ambitious international projects — they often r…
Israel–Iran: Power, Speculation, and the Market Mirage The conflict between Israel and Iran may serve as a tool for political control and market speculation — markets often react to volatility rather than substance. News arrives with a lag and needs rethinking — don’t buy the headlines without analysis. Oil and LNG prices already price in some risks, offering support for energy export revenues. #analysis ✍️ Pump an…
Urals Oil in Rubles and Lukoil Share Price (LKOH). #Figures 😀 @AK47eng
Urals Oil in Rubles: 4,200 RUB / barrel. At the lows of late 2022 - early 2023. #Figures 😀 @AK47eng
Overhang Risk from Renewed Conversion of Depositary Receipts. According to RDV sources, the renewed automatic conversion of depositary receipts (DRs) into shares may lead to some of the converted securities entering the market, potentially creating an overhang. Many blue chips (e.g., Lukoil (LKOH), others) may be at risk. However, no overhang risk is expected for "relocated" stocks like T-Technology (T), Yandex (YDEX…
An alarming yet interesting situation is unfolding in the economy and the market: The Central Bank (CBR) has initiated a policy pivot, but is doing so extremely aggressively; ruble-denominated oil prices are at lows; hopes for peace are fading, while technical factors in the market could trigger sharp volatility. #Tactics_on_the_Russian_stock_market On Friday, monetary policy pivoted (the first tightening reversal i…
The Central Bank barely budged under pressure from politicians & business. #analytics ✍️ Key decision: rate cut to 20% ✍️ Strong message: tight monetary policy to last for a prolonged period 👉 49 days until next meeting — risk of falling behind the curve. 😀 @AK47eng
Central Bank Policy Rates (as of 06.06.2025). #figures Turkey 46.00% Argentina 29.00% Russia 20.00% Brazil 14.75% Colombia 9.25% Mexico 8.50% South Africa 7.25% India 6.50% Philippines 6.50% Poland 5.75% Saudi Arabia 5.00% USA 4.38% United Kingdom 4.25% Eurozone 2.00% Japan 0.50% 😀 @AK47eng
Showing the 12 most recent of 20 posts we hold for @rdv_putinomics. 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.
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.
@rdv_putinomics named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“RDV Russian Stocks” (@rdv_putinomics), 55 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/rdv_putinomics.
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.