Channel
@toolsforbrokers
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
135subscribers
+2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001277431801 |
|---|---|
| Type | Channel |
| Username | @toolsforbrokers |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/toolsforbrokers |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 15:58 | 135 | +1 |
| 16 Aug 2026, 02:34 | 134 | +1 |
| 9 Aug 2026, 00:16 | 133 | no change |
| 7 Aug 2026, 16:20 | 133 | first reading |
19 posts held, back to 30 June 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 1 pageof Telegram’s post history, 20 posts per page.
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 4 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 19 (30 June 2026 – 6 August 2026) |
| Views total | 294 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 00:16 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.
Measured directly from 4 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.
28 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 42.9% | |
| 🔥 | 12 | 42.9% | |
| 👍 | 4 | 14.3% |
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 17 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 28reactions 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 30 June 2026 to 6 August 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.
When did you last review your LP performance data? Your routing logic? Your risk control thresholds? Most brokers haven't, and the gaps only show up when volume returns in Q4. There are 5 areas worth checking now. Find out what they are here: https://shorturl.at/pzPUH
Your dealing desk is only as good as what it can see, and how fast it can act. Right now, most brokers are classifying new accounts weeks too late, catching toxic flow after the damage is done, and making risk decisions from a picture of their book that is already out of date. DEXA fixes all three. - New accounts scored from trade three - Toxic flow detected the moment patterns form - Every trader, position, and se…
Execution isn't standing still, neither is Trade Processor. TFB has introduced a new set of enhancements to Trade Processor, giving brokers greater control over execution, liquidity, risk management and copy trading, all within a single execution environment. The latest release continues our vision of making Trade Processor the infrastructure brokers rely on to run their business, bringing every critical function t…
❤1
AI wasn't a side conversation at WikiEXPO Hong Kong, it was the main one. Walking the floor, our team saw the same thing again and again: brokers actually building AI into their offering, not just talking about it. Find out more: https://shorturl.at/BRRai
❤1
Brokerage infrastructure has changed enormously over the last decade. Execution is faster, liquidity is deeper, connectivity is more reliable than it has ever been. The dealing desk, however, largely runs the way it always has. Manual classification, fragmented views, and risk decisions made on data that is already hours old by the time it reaches the person who needs to act on it. The infrastructure around the dea…
❤1
The best routing decisions are the ones your team doesn't have to make manually. Trade Processor automatically applies your A-book/B-book routing rules in real time, so every order follows the execution path you've defined, instantly and consistently. https://shorturl.at/k52DQ
❤1
The brokerage industry has never had a shortage of risk data. What it has had is a shortage of systems that know what to do with it — fast enough to matter. By the time most dealing desks classify a new account, flag toxic flow, or adjust exposure — the cost is already on the books. DEXA was built to close that gap. AI-powered risk intelligence that reads trader behaviour from the very first orders and acts on it …
🔥1
Manual workflows do not scale. Every process that requires a human to act is a process that can break under volume, and introduce errors that cost real money. Trade Processor automates the operational layer of a brokerage from within the bridge. - Swap values update automatically - Routing profiles switch based on market conditions - Large orders split for better average pricing - Corporate actions handled without …
👍2
Your LP performed well at onboarding, but that was 2 years ago. LP performance is not static, and most brokers only find out it has changed when the damage is already in the fills. Episode 6 of TFB's risk management series covers just that: - What LP risk actually looks like - How to monitor it continuously - When to renegotiate versus replace Read the full article 👉 https://shorturl.at/OMKRx
🔥1
Most brokers find out about a risk problem the same way — after it costs them. DEXA finds it first. From trade three, DEXA's AI begins reading every new account — how they size, how they time, how they react. Toxic flow, latency arbitrage, news trading, coordinated accounts hiding behind VPNs are classified automatically, acted on instantly, before the damage reaches the book. Without any manual review or morning-…
❤2
A liquidity bridge used to have one simple job: connect a trading platform with a liquidity provider. But the brokerage landscape has changed. Traders rely on automated strategies, toxic flow is harder to detect, volumes continue to grow, and regulatory expectations are higher than ever. Simply moving orders from A to B is no longer enough. ⛓️💥 Trade Processor gives brokers more than a bridge — it combines execu…
🔥1
Markets move faster than people. 🚀 In brokerage, every delayed classification, missed behavioural pattern, or late intervention can directly impact PnL. That's why dealing desks are moving toward automation layers. Automation detects risk as it emerges, executes predefined actions in real time, and ensures critical decisions aren't delayed by manual workflows. For brokerages, that means: ✔ Faster risk response ✔ …
❤2🔥1
Showing the 12 most recent of 19 posts we hold for @toolsforbrokers. 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.
“TOOLS FOR BROKERS (TFB)” (@toolsforbrokers), 135 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/toolsforbrokers.
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.