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Brett Steenbarger engagement report

@steenbab - 98K followers on X

Measured over 37 original posts from a 30-day window, last computed on September 14, 2026.

Engagement

Middle of its size range
Per follower
0.061%
of 98K followers
Per impression
1.16%
5.2K views on a typical post
Reach
5.29%
of its followers see a post
Typical post
60
interactions (median)
Saved
0.367%
19 bookmarks on a typical post
Posting rate
1.4/day
active 87% of days
Peak time
11:00 UTC
Sunday

A typical post picks up 60 interactions against 98K followers, an engagement rate of 0.061%. Measured over 37 original posts, its engagement rate beats 43% of 20,444 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 5.2K times each, and 1.16% of those impressions turn into an interaction. That is about 5.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 11:00 UTC, and Sunday is the busiest day of the week. Of the 37 posts sampled, 89% carry an image or video and 89% link out. The account's strongest tracked post pulled 9.6K interactions, about 160x its own typical post.

Measured over 37 original posts from a 30-day window, last computed on September 14, 2026. Recurring tag: #tradingpsychology.

Compared with accounts its own size

Brett Steenbarger's engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 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 45% 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 0.061%, Brett Steenbarger sits above the 25th percentile of the 206,113 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.143%.

p100.004%
p250.025%
p50 (median)0.143%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 206,113 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,273 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.143%
75th percentile0.68%
90th percentile2.56%
99th percentile82.4%

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 11:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video89% of posts+111%+108% to +115%34K
Outbound link89% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 89% 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.
  • 89% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 319 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 8, 2026160x their median

    This is absolutely incredible. Corporate America is currently on pace for the biggest earnings beat EVER recorded. S&P 500 companies are beating earnings per share estimates by an aggregate +29.2%. To put this into perspective, the 5-year average stands at +7.0%, which is already historically high. In other words, S&P 500 companies are now beating already high expectations by ~4.2 TIMES the 5-year average. On top of this, the blended net margin for the S&P 500 is up to 16.9%, also an all time high. Even if you removed Alphabet’s $98 billion gain from unrealized equity investments and Amazon’s $53 billion gain from Anthropic, S&P 500 earnings growth would STILL be +32.0% year-over-year. We are in the midst of the largest investment boom in history.

    8.1K831500173926K viewsView on X
  • Aug 11, 202659x their median

    If I start a new X account to dig deep into trading, is there anyone to follow me. I need at least 30 ❤️s to be encouraged.

    3.3K191473106K viewsView on X
  • Aug 11, 202636x their median

    S&P 500 earnings are now expected to surge 32% in 2026, more than double the 15% growth expected at the start of the year. We’ve never seen earnings growth this strong outside of post-recession rebounds. This time, there was no recession. Just an unprecedented AI-driven boom. https://t.co/YRsnxoWDgx

    1.7K29212647161K viewsView on X
  • Aug 9, 202627x their median

    The S&P 500's Dividend Yield has moved down to 1.04%, the lowest level in history. https://t.co/axSGEECsTd

    1.2K25912534127K viewsView on X
  • Aug 12, 202616x their median

    Leveraged ETFs are now driving markets. Leveraged ETFs now account for a record 16% of total global ETF daily trading value. This is despite representing only ~$250 billion, or 1%, of the total ~$22 trillion global ETF industry. This comes as 30-day average trading volume in leveraged ETFs has tripled since January, to a record ~$70 billion in June. Furthermore, long-leveraged ETFs are seeing ~$43 billion in average daily turnover, compared to ~$18 billion in short-leveraged funds. Meanwhile, AI-related long-leveraged ETFs now account for a record 58% of total exposure across long-leveraged ETFs, up from 26% in 2022. Among single-stock long-leveraged ETFs, memory stocks alone account for 48% of total exposure. This market is seeing massive amounts of leverage.

    735898031221K viewsView on X
  • Aug 10, 202615x their median

    Tech Stocks on track for a yearly inflow of $216 Billion, completely smashing ever other year in history 🚨 🚨 https://t.co/Ez48dTxapl

    7201224325122K viewsView on X
  • Sep 4, 202614x their median

    STOP SETTING SMALL TRADING GOALS! Want to know the most dangerous mistake ambitious developing traders make when setting career goals? Hint: It isn’t aiming too high. It’s setting the bar way too low. Let me share a story from our prop desk. During a recent monthly review with Team Max, one of our traders announced his numbers: he pulled in $1 million in net trading profits in August. When he first sat on the desk, his lifelong dream was to make $1 million in a year. Last month, he did it in 21 trading days. Max had an even better month, and I wanted to get his reaction to his monster performance. After the meeting, I reached out to Max directly on Gchat: Me: "You ever think when you were starting you would make 2m plus in a month?" Max: "Def not lol" A couple of years back, we actually kicked around the idea of publicly tracking Max for the trading community to see if he could break $1M in a month. At the time, he hadn't broken this level yet. We ended up scrapping the project as we were worried it would focus on the wrong things. Fast forward to today: Max cleared over a couple of million dollars last month alone and is heading into his second consecutive 8-figure year. For him now, a million-dollar month isn't even close to the benchmark he aims for. Yet during that exact same review, a couple of our younger traders who made solid six figures were lamenting their month. They felt dejected comparing their numbers to the seven-figure producers on the desk. Three years into their careers, an outcome that would stun 99% of independent traders felt unsatisfying to them. That psychology reveals a critical truth about trader development: Arbitrary P&L Goals are Self-limiting: When you fixate on a dollar target early in your career, you anchor your ceiling to who you are today—with your current limited skills, risk tolerance, and PlayBook. The Process Multiplier: When you double down and triple down on your daily process, build technology, trade alongside elite traders, collaborate, and push size on your A+ setups, your growth becomes exponential. Your early career goals end up looking comically small in the rearview mirror. Happy, But Never Satisfied: As Chris Mullin, former NBA Hall-of-Famer, used to say, and as we preach to our desk constantly. Even after pulling millions out of the market, this desk spent the meeting dissecting where they left money on the table: leaving 25% on the Bitcoin breakout, breaking down what worked on MRNA, and focusing on pumping the brakes during low-opportunity tape. Trading can be a tough game at the start, but the upside is limitless when you stop capping your potential. Don't let arbitrary dollar targets limit what you can accomplish. Double down on your process, surround yourself with peers who raise your standards, pump the brakes during slow markets, and aggressively press your A+ setups. Your ceiling is far higher than your wildest imagination. #Trading #DayTrading #SMBCapital #PropTrading #TradingPsychology

    742782312102K viewsView on X
  • Sep 3, 20265.8x their median

    We learn from @LindaRaschke and her book Trading Sardines what it takes to succeed as a trader at the level of a Market Wizard. It's not learning the next pattern or indicator; it's mastering a process of mastery: https://t.co/3oxlxeAhTF https://t.co/01yrffq3xl

    311317228K viewsView on X
  • Sep 6, 20263.3x their median

    The trading industry sells certainty. Predictions. Targets. Signals. Secret indicators. The market offers none. Trading begins to change when you stop demanding certainty and start managing probability. You don't need to know what happens next. You need to know what you'll do when it does.

    1562019116K viewsView on X
  • Aug 11, 20263.0x their median

    Most traders think discipline means having the strength to take a trade. Sometimes it does. But discipline is also: Not chasing. Not revenge trading. Not moving your stop. Not trading when there is no setup. Sometimes the most disciplined trade is no trade at all.

    133172919.5K viewsView on X

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

#tradingpsychology

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 60 interactions against 98K followers, an engagement rate of 0.061%. Measured over 37 original posts, its engagement rate beats 43% of 20,444 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 5.2K times each, and 1.16% of those impressions turn into an interaction. That is about 5.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 11:00 UTC, and Sunday is the busiest day of the week. Of the 37 posts sampled, 89% carry an image or video and 89% link out. The account's strongest tracked post pulled 9.6K interactions, about 160x its own typical post.

What is Brett Steenbarger's engagement rate on X?
Brett Steenbarger (@steenbab) has an engagement rate of 0.061%, based on the median interactions across 37 original posts from the last 30 days against 98,238 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.061%, Brett Steenbarger sits above the 25th percentile of the 206,113 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 @steenbab have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,444 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 @steenbab post?
Most posts go out around 11:00 UTC, and Sunday is its busiest day, at roughly 1.4 posts per day across the measured window.

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