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Channel

Finandy News

@finandyNewsEN

On this record: Growth · Engagement · Posts · Citations · Cite this entry

500subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001275545537
TypeChannel
Username@finandyNewsEN
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/finandyNewsEN

Growth

500503501.57 August 2026 — 503 subscribers7 August 2026 — 503 subscribers14 August 2026 — 502 subscribers21 August 2026 — 500 subscribers7 August 202621 August 2026
4 measurements spanning 14 days, net -3. 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 500–503 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 09:37500-2
14 Aug 2026, 01:43502-1
7 Aug 2026, 06:43503no change
7 Aug 2026, 01:47503first reading

Engagement

20 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 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 13 July 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

13 Jul 2026, 04:32 UTC67 viewsread 7 August 2026

В данный момент терминал Онлайн и работает в штатном режиме.

5 Jul 2026, 15:01 UTC90 viewsread 7 August 2026
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✏️ How Comparing Your P&L to Others’ Distorts Your Own Plan In trading, it’s easy to start evaluating yourself not based on your own system, but on other people’s results. When someone shows a big profit, impressive stats, or a successful entry, you immediately get the feeling that you’re not doing enough. The problem is that someone else’s P&L almost never shows the full picture. It may be based on a different acc

5 Jul 2026, 11:01 UTC54 viewsread 7 August 2026
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🤖 What Is AI Token Scoring and What Are Its Weaknesses AI token scoring is the evaluation of a project using artificial intelligence. The system analyzes various data points: market capitalization, trading volume, team activity, social media, on-chain metrics, tokenomics, listings, and holder behavior. As a result, the token receives a relative rating indicating how strong, risky, or promising it appears to be. Thi

4 Jul 2026, 15:00 UTC46 viewsread 7 August 2026
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📊 Weekly Recap The week saw a cautious recovery. Bitcoin managed to climb above $61,000 following weak U.S. labor market data: market participants once again began pricing in a more dovish stance from the Fed, which supported demand for risk assets 💵 However, the overall backdrop remains challenging. Citi lowered its forecasts for BTC and ETH, citing weak ETF inflows, slow progress on crypto regulation in the U.S.,

4 Jul 2026, 11:01 UTC39 viewsread 7 August 2026
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🏦 Why the RWA Sector Has Become a Topic of Its Own for Traders RWA stands for the tokenization of real-world assets: bonds, real estate, funds, commodities, and other instruments that exist outside the crypto market. Interest in this sector is growing because it bridges the gap between crypto and traditional finance. This is an important step for the market: tokens are no longer just speculative ventures but are be

3 Jul 2026, 15:01 UTC36 viewsread 7 August 2026
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🔍 How Traders Can Verify AI Conclusions Without Turning Them Into Trading Signals AI can quickly analyze news, compare scenarios, and highlight risks. But its conclusion isn’t a trading signal - it’s material for analysis. The main mistake is to treat the neural network’s response as a ready-made solution: “The AI said so, so it must be okay to enter.” In reality, it may not take into account current liquidity, cha

3 Jul 2026, 11:03 UTC34 viewsread 7 August 2026
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⏳ How Options Affect Spot Price Movements Before Expiration As options approach expiration, the market often begins to behave differently. The price may “stick” near certain levels, move more sharply than usual, or, conversely, become too calm. The reason is that large market participants have open positions in options, and as the expiration date approaches, they have to manage their risk. They hedge their position

2 Jul 2026, 15:02 UTC33 viewsread 7 August 2026
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🧠 Why Traders Confuse Access to Information with an Edge Today, traders have access to almost everything: news, charts, on-chain data, reports, analytics, expert opinions, and AI tools. It seems that the more information there is, the higher the chance of making the right decision. But access to data in and of itself is not an edge. The problem is that thousands of market participants see the same information. If

2 Jul 2026, 11:01 UTC33 viewsread 7 August 2026
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🧮 What Is a Basis Trade and Why Do Major Players Use It? A basis trade is a strategy that exploits the difference between the spot price of an asset and the futures price of the same asset. For example, if Bitcoin is cheaper on the spot market but its futures are trading at a higher price, a trader can buy BTC on the spot market and simultaneously open a short position in the futures market. In this case, the trade

1 Jul 2026, 15:01 UTC39 viewsread 7 August 2026
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🧩 Why Traders Need Their Own Set of Prompts for Market Analysis AI can be a useful tool, but the results depend heavily on how the question is phrased. A general request like “analyze the market” will almost always yield a response that’s too superficial. That’s why traders need their own set of prompts for different tasks: analyzing news, testing trading ideas, assessing risks, identifying weaknesses in a scenario

1 Jul 2026, 11:03 UTC34 viewsread 7 August 2026
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💻 How AI Agents Can Transform a Trader’s Work AI agents aren’t just chatbots that answer questions. They are systems capable of performing a sequence of tasks: gathering data, analyzing the situation, comparing scenarios, identifying risks, and drawing conclusions. For a trader, this can significantly change their workflow. Instead of manually checking news, reports, on-chain data, the events calendar, and asset be

30 Jun 2026, 17:04 UTC32 viewsread 7 August 2026
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🤖 How Exchanges Are Integrating AI Into Their Products Today AI on exchanges is no longer “the technology of the future,” but rather a part of their actual infrastructure. It’s used not only for visually appealing features in the user interface, but also for tasks that directly impact the security and performance of the platforms. One of the main use cases is anti-fraud and monitoring of suspicious activity. Exchan

Showing the 12 most recent of 20 posts we hold for @finandyNewsEN. 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.

Citation-graph rank

Citation-graph rank — 788,703 of 1,621,120entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

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.

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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Finandy News” (@finandyNewsEN), 500 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/finandyNewsEN.

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.