Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 66% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
29 measurements spanning 32 days, net +602. 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 12,071–12,858 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
8 Sept 2026, 21:00
12,764
-3
5 Sept 2026, 17:19
12,767
+2
3 Sept 2026, 14:38
12,765
+14
2 Sept 2026, 08:27
12,751
+23
1 Sept 2026, 09:25
12,728
+30
31 Aug 2026, 10:25
12,698
+23
30 Aug 2026, 07:45
12,675
+21
29 Aug 2026, 07:28
12,654
+19
28 Aug 2026, 06:54
12,635
+23
27 Aug 2026, 08:37
12,612
+18
26 Aug 2026, 08:24
12,594
+23
25 Aug 2026, 06:18
12,571
+23
24 Aug 2026, 07:49
12,548
+56
22 Aug 2026, 18:17
12,492
+27
21 Aug 2026, 12:12
12,465
+22
20 Aug 2026, 14:46
12,443
+19
19 Aug 2026, 12:52
12,424
+18
18 Aug 2026, 10:53
12,406
+19
17 Aug 2026, 13:47
12,387
+33
16 Aug 2026, 06:38
12,354
first reading
Engagement
34 posts held, back to 28 July 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.9%
avg views ÷ 12,764 subscribers
Avg views / post
2,540
10 posts measured
Reaction rate
0.928%
reactions ÷ views · ER floor
Posts in window
10
of 34 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 20 August 2026
Posts held
34 (28 July 2026 – 20 August 2026)
Views total
25,440
Reactions total
236
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:14 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.
Reaction mix
885 reactions across 34 posts, in 8 distinct kinds. The most used accounts for 55.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
495
55.9%
🔥
254
28.7%
👍
108
12.2%
🙏
12
1.36%
👏
8
0.904%
😍
4
0.452%
💯
2
0.226%
🥰
2
0.226%
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 34 of the 34 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 885 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 28 July 2026 to 20 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.
Yesterday I showed you how you can start turning Claude into your own personal stock & financial analyst.
The first thing you need to make this actually useful is live market data.
For this, I use the FMP connector. It gives Claude access to things like:
• Live quotes + historical price data
• Company fundamentals and financial statements
• SEC filings + earnings transcripts
• Analyst estimates and price targets
•…
Now that we’ve covered backtesting pretty extensively, I want to move onto the next part of the AI trading workflow:
How to turn Claude into your own personal stock & financial analyst.
There’s a lot you can do with this, from researching individual stocks and breaking down earnings to comparing companies, analysing financials and keeping track of your portfolio.
I’ve included a setup guide that you can feed strai…
Now that we’ve covered how to run the backtest, the next step is figuring out what the results are actually telling you.
TradingView shows you how the strategy performed, but it doesn’t really tell you why it performed that way.
This is where Claude becomes really useful.
Export the full trade history from TradingView as a CSV and upload it straight into Claude.
You can then ask things like:
• Why did this strate…
GM guys, new week ahead. Today's update below:
MARKET
BTC held the $62k level and is now bouncing back above $64k. For stronger bullish momentum, Bitcoin still needs to break through the $65k-$67k area.
We have another eventful week ahead with the FOMC minutes on Wednesday and Trump meeting with top crypto regulators and projects. Interesting to see what comes out of this.
HEADLINES
• Iran has given the US 3-4 week…
And this is where you can start taking things much further.
Instead of testing one strategy, you can repeat this process across dozens or even hundreds of different strategies and compare the results.
That's basically what I built my Research Desk to do.
I've tested 400+ strategies through it, so instead of guessing which ideas might work, I can actually test them against historical market data first.
You can see…
Now you can actually see whether your strategy has any edge.
TradingView will simulate the trades your strategy would have taken and give you the full historical performance.
A few of the main things I look at:
• Net Profit: How much the strategy made or lost
• Win Rate: Percentage of trades that were winners
• Max Drawdown: The largest decline during the backtest
• Profit Factor: Profit generated relative to losse…
From here, just paste the entire Pine Script Claude generated into the editor.
You don't need to understand or edit the code yourself.
Your entry rules, exits, position sizing, fees, stop losses and other parameters should already be built into the script based on the strategy you gave Claude.
Once it's in, add the strategy to your chart and TradingView will start running it against historical data.
I showed you guys how to turn your trading strategy into Pine Script using Claude.
Now let's actually run the backtest and see how the strategy would have performed.
Once Claude gives you the Pine Script:
1. Open TradingView
2. Go to My Scripts
3. Click Create Script
This opens the Pine Editor where you can add the strategy Claude just created for you.
I've attached exactly where to find it above 👆
Today’s Market update below:
MARKET
Bitcoin saw some heavy selling today and dropped below $63k before finding support just above $62.5k. $62k remains the last line of defense to hold the range BTC has been trading in for the past few weeks.
A bit frustrating to see price dumping after a week where both CPI and PPI came in at or below expectations. On top of that, the S&P continues to make new all-time highs while…
Yesterday I showed you guys where to find trading strategies worth testing. The next step is turning them into something you can actually backtest.
Once you have your strategy and rules, just give them to Claude and ask it to convert everything into Pine Script.
You don’t need to know how to code yourself. Claude can write the entire strategy for you, including:
• Entry and exit rules
• Position sizing
• Fees and …
Yesterday I showed you guys the Research Desk I use to backtest trading strategies.
But before you can backtest anything, you obviously need strategies worth testing.
You really don't need to reinvent the wheel here. There are thousands of strategies already out there that you can use as a starting point.
Here are 3 places I'd start:
1. TradingView
TradingView has a huge library of community-built strategies, man…
GM guys, today’s market update below:
MARKET
BTC remains pretty boring and is currently trading around $63k. Still just chopping sideways without much direction.
Tomorrow should be more interesting with CPI coming out. Inflation remains one of the key things the Fed is watching and another hot print could strengthen the case for keeping rates unchanged, or even increase the probability of another rate hike. That w…
❤11👍6🔥4
Showing the 12 most recent of 34 posts we hold for @the_vault_by_miles. 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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“The Vault by Miles Deutscher” (@the_vault_by_miles), 12,764 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/the_vault_by_miles.
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.