Lesson 8 — Pulse (Prediction Markets) In this lesson, we’ll explore the Pulse tab for Prediction Markets in GraphDEX. This section is designed for traders who want to monitor the market in real time and quickly react to new opportunities. Instead of searching through hundreds of markets manually, Pulse organizes everything into three live columns, making it much easier to find the events that matter most. The Pulse…

Channel
GraphDex
@graphdex_official
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
689subscribers
+1 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 | -1002164155560 |
|---|---|
| Type | Channel |
| Username | @graphdex_official |
| Created | 28 July 2024 — measured — dated from the channel’s first post |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/graphdex_official |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:11 | 689 | +1 |
| 8 Aug 2026, 02:30 | 688 | no change |
| 7 Aug 2026, 13:00 | 688 | first reading |
Engagement
17 posts held, back to 28 July 2024 — 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.
- ERR · 30 days
- 49.3%
- avg views ÷ 689 subscribers
- Avg views / post
- 340
- 12 posts measured
- Reaction rate
- 2.08%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 17 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. It is computed over the 9 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 July 2026 |
|---|---|
| Posts held | 17 (28 July 2024 – 29 July 2026) |
| Views total | 4,078 |
| Reactions total | 75 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 02:30 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
- Video runtime
- 18m 57s
- Average length
- 1m 35s
Measured directly from 12 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
188 reactions across 12 posts, in 9 distinct kinds. The most used accounts for 65.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 123 | 65.4% | |
| 🔥 | 23 | 12.2% | |
| 👍 | 14 | 7.45% | |
| 🖕 | 7 | 3.72% | |
| 🥰 | 7 | 3.72% | |
| 💩 | 6 | 3.19% | |
| ❤🔥 | 4 | 2.13% | |
| 😱 | 3 | 1.60% | |
| 👎 | 1 | 0.532% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 12 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 188reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 28 July 2024 to 29 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Lesson 9 — Trading (Prediction Markets) In this lesson, we’ll take a detailed look at the Trading page for Prediction Markets in GraphDEX. This is where you’ll find all the tools needed to analyze a market, place trades, and manage your positions. At the top of the page, you’ll see the selected prediction market. Here you’ll find the event image, market title, available outcomes such as Up / Down or Yes / No, the c…
Lesson 10 — Wallet (Prediction Markets) In this lesson, we’ll explore the Wallet tab for Prediction Markets in GraphDEX. This section allows you to monitor your balance, track your positions, review your trading history, and manage your prediction market portfolio from one place. At the top of the page, you’ll see your total wallet balance, giving you an instant overview of your available funds. Below that is the …
Lesson 11 — Copy Trading (Prediction Markets) In this lesson, we’ll explore the Copy Trading section for Prediction Markets in GraphDEX. This feature allows you to automatically copy the trading activity of successful prediction market traders, making it easy to follow experienced users without manually placing every trade. The first tab you’ll see is Top. This section features the highest-performing prediction ma…
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⚠️ Important — Scam Alert We’ve identified a fraudulent website impersonating our project: graphdex.live This website is a scam and is attempting to mislead users. Please stay alert. All official announcements are posted only on our verified channels: — Twitter https://x.com/graphdex_io — Instagram https://www.instagram.com/graphdex_io — this Telegram channel @graphdex — our official website https://graphdex.io/ …
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Lesson 7 — Research (Polymarket) Welcome back! In this lesson, we’ll explore the Research section for Polymarket inside GraphDEX. This is where you can discover new prediction markets, track trending events, monitor live markets, and quickly find trading opportunities. Let’s start with the New tab. Here you’ll find the latest prediction markets as soon as they’re created. For each market, you can see its title, cr…
❤6
Lesson 6 — Earn & GraphPay Welcome back! In this lesson, we’ll take a look at two important parts of the GraphDEX ecosystem: Earn and GraphPay. Earn allows you to generate passive income by staking supported assets, while GraphPay lets you spend your crypto using virtual payment cards. Let’s start with Earn. When you open the Earn page, you’ll see all available staking options. For each asset, GraphDEX displays th…
🔥6❤1
🎥 Lesson 5 — Wallet Overview In this lesson, we’ll take a closer look at the Wallet section of GraphDEX — the place where you manage your funds, monitor your portfolio, review your trading history, and prepare your balance for trading, staking, and Prediction Markets. When you open the Wallet page, the first thing you’ll see is a complete overview of your portfolio. Here you can instantly check your Total Balance, …
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Lesson 4. Exploring the Trading Tab The Trading tab is the core of GraphDEX and where you’ll spend most of your time. This is where you’ll analyze charts, open and close positions, place limit orders, manage risk, and monitor every aspect of your trades. In this lesson, we’ll walk through the interface so you understand every section and how to use it efficiently. We’ll begin with the top panel, where you’ll find t…
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Lesson 3. Exploring the Pulse Tab If you enjoy fast-paced trading or scalping, the Pulse tab will likely become the section you use most in GraphDEX. It is designed to help you monitor the market in real time, discover new opportunities as they appear, and react to price movements before the rest of the market. In this lesson, we’ll explore how the Pulse tab works, what each of its three columns represents, and how…
❤7🖕1
Lesson 2. Exploring the Research Tab The Research section is where every trade begins. Whether you’re looking for newly launched tokens, monitoring the market for trending opportunities, or searching for the next big gem, this is the place where you’ll spend most of your time. In this lesson, we’ll walk through every part of the Research tab and show you how to use its tools to find promising projects faster and mak…
❤14🖕3
Lesson 1. Registration, First Login, and the Referral Program Welcome to the introductory GraphDEX lesson series. In these videos, we will walk you through the terminal’s main features step by step, helping you understand the interface, explore its tools, and start using GraphDEX without unnecessary confusion. In the first lesson, we will begin with the essentials: creating an account, accessing the terminal for t…
❤13👍6🖕1
Showing the 12 most recent of 17 posts we hold for @graphdex_official. 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 — 40,202 of 1,151,006entries 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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“GraphDex” (@graphdex_official), 689 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/graphdex_official.
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.