CA Afzal Lokhandwala engagement report
@afzal_57 - 694K followers on X
Measured over 24 original posts from a 30-day window, last computed on October 2, 2026.
Engagement
A typical post picks up 25 interactions against 694K followers, an engagement rate of 0.004%. Measured over 24 original posts, its engagement rate beats 22% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 16K times each, and 0.155% of those impressions turn into an interaction. That is about 2.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 24 posts sampled, 92% carry an image or video and 13% link out. The account's strongest tracked post pulled 2.9K interactions, about 115x its own typical post. Recurring topics include #cnxsmallcap, #coffee, #copper.
Measured over 24 original posts from a 30-day window, last computed on October 2, 2026. Recurring tags: #cnxsmallcap, #coffee, #copper.
Compared with accounts its own size
CA Afzal Lokhandwala's engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 11% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.004%, CA Afzal Lokhandwala sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 08:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 92% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 13% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 92% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 13% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 546 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Jan 24, 2024115x their median
Made history in 2022 as the first Indian to ever win the US Investing Championship (+447%). Clinched the 2nd place in 2023 (+500%), setting a two-year world record. India shines!
- Jul 12, 20265.4x their median
Most studies are done backwards - they find stocks that exploded and then find chart patterns before they exploded. The result is - forced patterns. They draw lines and find breakouts everywhere all the time. Doesn't make sense to me.. I'll give you ONE pattern - I call it the Wavy Base Pattern (WBP), very rare. You'll train your eye like never before. You'll spot real A+ breakouts like never before. I'll share 100 charts - A+ WBP Breakouts that look exactly same all the time. Before I start, I just want you to bookmark this and come back at #100 and tell me if your eye changed.
- Feb 4, 20265.2x their median
#COPPER was stuck in a range from 1993 to 2005 ($1.7 to $2.45). It broke out of the range in Q2 2005 (moving 45% from the swing low), and FURTHER moved up by 100% in just a year. See the chart. #COPPER was stuck in a range from 2011 to 2025 ($3 to $5.6). It broke out of the range in Jan 2026 (moving 30% from the swing low), and FURTHER would move up by __ % in just a year. Take a guess! Copper may shock the world when it doubles from here, but not serious chart readers.
- Jul 6, 20264.2x their median
Holding 4 positions in India. Added #SBCL on Friday. Currently trading at my cost price levels. I have more setups lined up in Auto, Chemicals and Pharma, but I need to de-risk existing trades first. Awaiting a strong move in either of these ones. I'm positive on the Indian market after a long time.
- Aug 20, 20263.8x their median
Every position I am holding was bought in the last 30 days. All of them are working. That tells me one thing. The Indian market is strong right now. One piece is still missing. The large-caps are not participating yet. When they join in, you get the smooth, trending market we saw in 2020-21 and again in 2023. The kind where good setups just keep coming. A strong market does not help a trader who has no system. It rewards the one who already has a system and actually runs it. So the question is simple. Do you have a system you trust, and can you execute it without flinching when the move comes?
- Jul 3, 20262.7x their median
July 1 was a historic day :-) I took 3 trades on a single day in the Indian markets. I was focused on global markets for many quarters, and now, I see some light coming back in the Indian market. I entered #PARACABLES, #CMPDI and #RAYMONDREL At the moment, the stocks are around my entry price. Do not copy blindly.
- Jul 9, 20263.2x their median
Iran and the USA started again yesterday. Traders are panicking. And I just put 1.15 crores in two stocks today in India. I would rather be wrong trading charts than trading Donald Trump. Here is what the charts actually said.
- Sep 22, 20262.8x their median
#TFCILTD is up 66%. #ENGINERSIN is up 22%. Partial profits already booked in both. That means whatever is left in these trades is risk-free. No risk of loss remains on the position. From here the job is simple. While the system says hold, you SIT. Nobody knows how far these stocks go from here. That was never the job. You see, most traders get the entry right. Right stock, right direction. Then they exit the winner too early and never find out what the move actually had for them. A big move only changes your account if you are still in it when it happens. Not the next entry. Not the next stock. The one you're already holding.
- Sep 4, 20262.4x their median
#IFCI is up 39% from where we entered, in the last week of July. Pure weekly chart. Price and volume. Nothing else. It just broke out of its base to lifetime highs. In the last couple of days, news started linking IFCI to the upcoming NSE IPO. That news is not why we entered. You see, this is the advantage of reading charts. Price gives the indication first. The news follows later. The trade is risk-free now, stop raised to cost. The only job left is to trail it and stay with the strength as long as it performs. Worst case, we lose nothing. Best case, this keeps running to new highs. Let the charts lead. Let the news follow.
- Aug 27, 20262.0x their median
In my previous post, I shared a few charts from heavy electrical engineering. Inside our club, we entered #BHEL today as it fits our buying criteria. The stock has not yet broken out of the base, and we have already entered the stock before the breakout. Often, our setup allows us to get in stocks before they breakout. Often, after our entry, positive news or announcements come out in the public, and that pushes the stock to breakout. Having said that, every position we take has a stop loss. It means if the stock goes against us, and hits our stop; we sell. NO QUESTIONS ASKED. Trade with conviction, but always have stops.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 25 interactions against 694K followers, an engagement rate of 0.004%. Measured over 24 original posts, its engagement rate beats 22% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 16K times each, and 0.155% of those impressions turn into an interaction. That is about 2.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 24 posts sampled, 92% carry an image or video and 13% link out. The account's strongest tracked post pulled 2.9K interactions, about 115x its own typical post. Recurring topics include #cnxsmallcap, #coffee, #copper.
- What is CA Afzal Lokhandwala's engagement rate on X?
- CA Afzal Lokhandwala (@afzal_57) has an engagement rate of 0.004%, based on the median interactions across 24 original posts from the last 30 days against 694,134 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, CA Afzal Lokhandwala sits above the 10th percentile of the 204,583 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @afzal_57 have real engagement?
- Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @afzal_57 post?
- Most posts go out around 08:00 UTC, and Tuesday is its busiest day, at roughly 0.97 posts per day across the measured window.