Channel
@quantnomad
On this record: Growth · Engagement · Reactions · Posts · Cite this entry
1,568subscribers
+3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001278905504 |
|---|---|
| Type | Channel |
| Username | @quantnomad |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/quantnomad |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 00:52 | 1,568 | +2 |
| 20 Aug 2026, 02:23 | 1,566 | -2 |
| 17 Aug 2026, 10:39 | 1,568 | +3 |
| 14 Aug 2026, 03:13 | 1,565 | -2 |
| 11 Aug 2026, 03:11 | 1,567 | +1 |
| 7 Aug 2026, 19:01 | 1,566 | +1 |
| 7 Aug 2026, 01:46 | 1,565 | no change |
| 7 Aug 2026, 01:34 | 1,565 | first reading |
19 posts held, back to 21 February 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 2 pagesof 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 19 posts for this entry, the most recent from 6 April 2026. An engagement rate over an empty window would be a number about nothing.
51 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 41.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 21 | 41.2% | |
| 🔥 | 20 | 39.2% | |
| ❤ | 10 | 19.6% |
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 18 of the 19 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 51reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 21 February 2026 to 6 April 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.
QuantNomad pinned «Most divergence is done incorrectly. Traders often compare: • price → using highs/lows • indicators → calculated on closes That’s not the same data. On large candles, this creates signals that look like divergence, but in reality momentum hasn’t changed…»
Most divergence is done incorrectly. Traders often compare: • price → using highs/lows • indicators → calculated on closes That’s not the same data. On large candles, this creates signals that look like divergence, but in reality momentum hasn’t changed much. I built a simple tool to fix this: Source-Aligned Oscillators (TradingView) You can: • use different price sources (close, hl2, hlc3, etc.) • align oscill…
❤2
🚀 TradingView just launched an AI Copilot — and I tested it on real charts It can analyze trends, explain indicators, and answer your questions directly on the chart… but is it actually useful? 🤔 I ran it through real scenarios to see where it helps — and where it falls short. 🎥 Watch the full review: [your link] Let me know what you think — game changer or just hype? 👇 https://youtu.be/XvhXHsTHmlA
❤2
🛢 Brent: Historic Backwardation The Brent curve just hit an extreme: • F1–F2 spread ≈ -$9.6 • Roll yield ≈ -110% (record low) This is not normal market structure — it’s front-end stress. ⚡️ What’s driving it The move is tied to geopolitical risk: • Iran escalation • Potential disruption through the Strait of Hormuz → Immediate supply uncertainty The issue is not future oil — it’s access to barrels right now …
❤1👍1
Perpetual Futures Are Not What You Think Perpetual futures look simple: no expiry, easy leverage, trade like spot. But in reality, they behave very differently. They’re not just about price — they’re driven by: • funding rates • positioning • liquidations 👉 This means you can be right on direction and still lose money. In many cases, moves are not driven by fundamentals, but by who is overleveraged and forced to…
❤1👍1
Something unusual is happening in VIX 👀 The curve is almost completely flat — just ~$0.55 from min to max. This doesn’t happen often… (~2% of the time since 2004) And in the past, it often came before big volatility moves. Full breakdown here: https://quantribe.io/vix-curve-at-extreme-compression-a-rare-setup/
👍3🔥2
🚀 Automate Your Trading Journal From TradingView Alerts Still logging trades manually? In this tutorial I show how to automatically send TradingView strategy alerts to a Google Sheets trading journal using webhooks and Google Apps Script. The entire setup is: TradingView alert → webhook → Google Apps Script → Google Sheets trade log ✅ No Zapier ✅ No Make ✅ 100% free ✅ Works with strategies and Pine Script alerts…
👍2🔥1
I published a new article introducing a free suite of TradingView tools for futures analysis. The goal was to make term structure and positioning analysis easier directly on the chart. The suite includes: • Forward Curve Visualization Tool – see contango/backwardation instantly • Carry Monitor – track carry dynamics across contracts • Future Roll Monitor – follow liquidity migration during rolls • Aggregated Volum…
🔥4
Markets are moving fast lately, so I built a small TradingView dashboard to monitor multiple instruments directly on the chart. No more jumping between screeners. Just one table with all the instruments I track. Script here: https://www.tradingview.com/script/886DeGbO-Global-Risk-Dashboard/
❤2👍1
📊 New Free Tool Released: FSL | Future Roll Monitor Rolling futures isn’t just a technical step — it’s a structural transition. When you move from one contract to the next, several things change at the same time: • The price relationship between contracts • The shape of the curve (contango / backwardation) • Liquidity concentration • Open interest distribution If you ignore these, you may be unknowingly paying ro…
🔥3❤2
Why Does Silver Futures Volume Skip April? 🤔 April Silver contracts exist. They’re tradable. They haven’t expired. Yet most of the volume and open interest sit in May and July. Why? Because Silver futures are structured around major delivery months — and April is a serial month. In the article I explain: • What serial months actually are • Why institutions ignore them • How open interest migrates during roll cy…
👍3
Beyond Price: Understanding Open Interest Dynamics Most traders focus only on price. Some look at volume. Very few understand what open interest actually reveals. In this new article, I break down: • How to interpret changes in total open interest • The 4 key price + OI scenarios • How to spot short covering vs new positioning • Why total OI across all maturities matters • How rising OI increases squeeze risk • Wh…
👍2
Showing the 12 most recent of 19 posts we hold for @quantnomad. 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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“QuantNomad” (@quantnomad), 1,568 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/quantnomad.
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.