Hao HONG 洪灝, CFA engagement report
@HAOHONG_CFA - 363K followers on X
Measured over 8 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
A typical post picks up 98 interactions against 363K followers, an engagement rate of 0.027%. Measured over 8 original posts, its engagement rate beats 48% of 24,308 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 32K times each, and 0.308% of those impressions turn into an interaction. That is about 8.71% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 09:00 UTC, and Sunday is the busiest day of the week. Of the 8 posts sampled, 50% carry an image or video and 25% link out. The account's strongest tracked post pulled 4.6K interactions, about 47x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on October 6, 2026.
Compared with accounts its own size
Hao HONG 洪灝, CFA's engagement rate beats 48% of the tracked X accounts closest to it in follower count (24,308 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 20% 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 0.027%, Hao HONG 洪灝, CFA sits above the 25th percentile of the 244,015 accounts in this comparison. That places it in the below the median band, which runs 0.027% to 0.158%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.027% |
| 50th percentile | 0.158% |
| 75th percentile | 0.745% |
| 90th percentile | 2.77% |
| 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 09:00 UTC, and Sunday 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 | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 25% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 50% 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.
- 25% 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 461 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
- Aug 13, 202647x their median
Once upon a time in China. https://t.co/1Arnb9kze4
- Jul 20, 202614x their median
JUST IN 🚨: Chinese Traders are unwinding their leveraged trades at the fastest pace in more than a decade 🤯 👀 https://t.co/0Ne7TveqIN
- Jun 25, 202614x their median
The Coolest Kid on the Block. https://t.co/M65i5ABP69
- May 31, 20262.2x their median
Chinese consumers are showing signs of a renewed appetite for high-end beauty and fashion products, a rare bright spot for global luxury brands after years of weak demand and margin-eroding discounts in their most important growth market https://t.co/LgtmIRahyk
- Jun 17, 20261.7x their median
Chinese economic data released yesterday were weak on the surface. Retail sales growth was negative, and growth in fixed assets and property investment declined further in May. The cash-for-clunkers subsidy has been suspended, and car sales were down 16%. Car sales alone dragged down retail sales growth by 150bps. However, service spending rose strongly by 5.4% y/y. It suggests consumer spending is now more on services than on goods. The Chinese consumer no longer uses things but instead uses experiences to define themselves. These numbers are consistent with our field observations. Further, while retail sales growth declined, high-tech exports were up strongly, diverging from the traditional manufacturing sector (chart). As such, economic data paint a picture of a country’s economy undergoing restructuring, and the process is powering ahead. This change is what we have been waiting for and talking about for years. Too much attention has been drawn to headline numbers without looking under the hood. And thus a wrong conclusion was drawn by consensus. Time to look at Chinese data differently.
- Aug 17, 20263.1x their median
A low-budget cartoon titled “Here Comes the Bull” is quickly surging to be the hottest meme in China. The movie was made for a few thousand yuan (a few hundred USD), reflecting the popular sarcasm in the Chinese A-share market. The animation is extremely crude. But the movie is embraced by the Chinese audience. Youngsters watch it and laugh, as a show of discontent with the burst of the semi bubble and a languishing stock market. Too bad - the movie has been pulled off the shelf. But it is destined to be a cult classic for years to come.
- Sep 19, 20263.1x their median
iPhone is getting older … And so are we. https://t.co/ajUHR9cWpb
- Aug 12, 20262.8x their median
Zhu Rongji, a reformist and a leading figure in China’s economic restructuring, passed away today at the age of 98. “為學在嚴，嚴格認真，嚴謹求實，嚴師可出高徒。 Be rigorous in learning: be strict and conscientious, be precise and realistic, and a strict teacher can train brilliant students. 為人要正，正大光明，正直清廉，正己然後正人。 Be upright in conduct: be open and aboveboard, be honest and upright, and rectify oneself before rectifying others.” RIP.
- Sep 7, 20262.3x their median
China is fiscally recapitalizing its big state banks. Basically, the MoF issues 300bn in special bonds to take part in the 350bn equity issuance by the banks/financial institutions. This is the third time in history China has recapitalized its banks: the first was in 2003, when the banking system was technically insolvent, with bad loans running at 40% at the time; the second was in 2008 during the subprime crisis. But that was to shore up AgBank for listing in HK. The recapitalization rate is running at 0.9% of GDP, substantially higher than the second time at 0.4% of GDP. The improvement in big banks' capital base was announced in March during the NPC and has made banks one of the best-performing sectors YTD, up 20%+; Bank of China surged 1/3 YTD, vs the tech-heavy ChiNext's flatish return YTD. Given the news has already been long anticipated, it's likely priced in. Essentially, this is a trade-off between improved lending ability from a better capital base and diluted EPS. Further, even if lending ability is improving, loan demand is very weak, and new loan growth is slipping into negative territory for the first time in history. More work is needed, not incremental tinkering. $FXI $KWEB $CQQQ $BABA
- Jul 14, 20262.3x their median
Just when you thought you were fully hedged... https://t.co/P119HvPtBs
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.
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Reading these numbers
A typical post picks up 98 interactions against 363K followers, an engagement rate of 0.027%. Measured over 8 original posts, its engagement rate beats 48% of 24,308 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 32K times each, and 0.308% of those impressions turn into an interaction. That is about 8.71% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 09:00 UTC, and Sunday is the busiest day of the week. Of the 8 posts sampled, 50% carry an image or video and 25% link out. The account's strongest tracked post pulled 4.6K interactions, about 47x its own typical post.
- What is Hao HONG 洪灝, CFA's engagement rate on X?
- Hao HONG 洪灝, CFA (@HAOHONG_CFA) has an engagement rate of 0.027%, based on the median interactions across 8 original posts from the last 30 days against 363,315 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.027%, Hao HONG 洪灝, CFA sits above the 25th percentile of the 244,015 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 @HAOHONG_CFA have real engagement?
- Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (24,308 accounts), which puts it in the middle of its size range 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 @HAOHONG_CFA post?
- Most posts go out around 09:00 UTC, and Sunday is its busiest day, at roughly 0.37 posts per day across the measured window.