US500 Short As anticipated, there was some retracement today to end off a bullish week. Usually we see the high/low of the week formed on Thursdays. With price trading into HTF bearish PDAs as well, I was expecting to see a bearish set up in price. A Market Maker Sell Model set up with bearish SMT with Dow and low resistance liquidity run on the lows - TP hit now.

Channel
Abhi's Journal
@abhisjournal
On this record: Topic · Growth · Engagement · Posts · Polls · Cite this entry
357subscribers
-8 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 | -1001502471074 |
|---|---|
| Type | Channel |
| Username | @abhisjournal |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/abhisjournal |
Topic
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 22 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Oct 2026, 09:41 | 357 | -2 |
| 25 Sept 2026, 12:38 | 359 | -5 |
| 11 Sept 2026, 04:01 | 364 | -1 |
| 2 Sept 2026, 01:53 | 365 | -1 |
| 13 Aug 2026, 17:48 | 366 | +1 |
| 8 Aug 2026, 06:31 | 365 | no change |
| 7 Aug 2026, 10:57 | 365 | first reading |
Engagement
20 posts held, back to 4 September 2023 — 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 page of 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 October 2023. An engagement rate over an empty window would be a number about nothing.
Recent posts
US500 Daily Chart Price is reversing with speed and violating bearish PD arrays - this looks good for a buy model. However, despite seeing no resistance yet, we are trading into some weekly bearish PDAs and retracement might be due. I am anticipating a buy model to unfold as long as new bullish PDAs are respected and price closes above FVG.
Keep in mind Friday is NFP. There is generally manual and unpredictable manipulation around this news event so trade at your own risk. Personally, I would only take a trade tomorrow if price action is obvious and take Friday off.
Took a very simple bread-and-butter Silver Bullet model trade on Nas today. Trade breakdown on YouTube 📉 https://youtu.be/6THkvD5XTvI?si=z0OrmO501X7pM8L-
Ever wondered how to get into a trade when it's running quickly? Today I took a day trade on S&P500 while it was selling off quickly using ICT's advanced Graded Swing entry technique. Check it out! https://youtu.be/s6QANJ0KpB0?si=xBpO8QZmEbXMYmQk
Also, I wanted to make a YouTube video this week but I am quite sick and lost my voice. I will recover and be back next week! For this week, you can watch an older video on my YouTube channel outlining a simple Market Maker Buy Model trade https://youtu.be/pspZEDLX6Es?si=TXVIxT1-nLODLomX
S&P500 Daily Chart - New Conditions for HTF Bias Price has responded nicely (so far) off the weekly bullish FVG and there is bullish SMT with Nas100. Still my bias is not bullish yet as there is not enough proof, but I've stated my conditions in the picture - if we see an FVG up, close above that daily OB (look at the arrow), and create a breaker, I would like to see price trade further up into that bearish gap. Ot…
S&P500 HTF Update - Weekly Chart Institutional order flow, simply defined, is just the current flow of price. We don't bet against it because we would be picking tops/bottoms, which is very error-prone. Until price shows willingness to break higher (bearish PDAs violated, bullish gaps forming, market structure breaks), I am looking for price to trade into the lower orange FVG in line with the huge weekly breaker. L…
Recall that I said if the Breaker/FVG is respected during FOMC, price will go for sellside liquidity. Now, price has reached the Red Cross I labeled.
Here's the breakdown of the trade I shared earlier today. Hope its helpful! https://youtu.be/BqAdkyFISBg
US500 Short Scalp in PM Silver Bullet Session. Closed with a bit more than 0.5% profit with 0.5% risk. Unfortunately, left a runner that hit BE and sold off after. Will make a YouTube video on this trade tonight to explain simple Silver Bullet trades.
US500 Daily Chart Haven't been sharing too many HTF charts because it's hard to see where price is heading right now. We have been a bit back and forth on the indices. In these scenarios, I usually focus more on scalping as the consolidation results in a lot of market maker model trades which is my favourite setup. Even though it isn't obvious where price is headed tomorrow, we can note some key PDAs made in price.…
Showing the 12 most recent of 20 posts we hold for @abhisjournal. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
What do you prefer learning about?
- Higher Time Frame Analysis (Bias, weekly structure, etc)49%
- Intraday Trading (Silver Bullet model, MM models, scalping, etc)58%
The shares total 107%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 4 September 2023 to 13 October 2023. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“Abhi's Journal” (@abhisjournal), 357 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/abhisjournal.
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.