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Justin Banks engagement report

@RealJGBanks - 252K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 9, 2026.

Engagement

Middle of its size range
Per follower
0.102%
of 252K followers
Per impression
0.873%
30K views on a typical post
Reach
11.7%
of its followers see a post
Typical post
258
interactions (median)
Saved
0.826%
244 bookmarks on a typical post
Posting rate
0.73/day
active 23% of days
Peak time
19:00 UTC
Tuesday

A typical post picks up 258 interactions against 252K followers, an engagement rate of 0.102%. Measured over 14 original posts, its engagement rate beats 62% of 6,874 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 30K times each, and 0.873% of those impressions turn into an interaction. That is about 11.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video, 7% are part of a thread and 14% link out. The account's strongest tracked post pulled 6.0K interactions, about 23x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on September 9, 2026.

Compared with accounts its own size

Justin Banks's engagement rate beats 62% of the tracked X accounts closest to it in follower count (6,874 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 43% 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 0.102%, Justin Banks sits above the 50th percentile of the 65,980 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

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 19:00 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.

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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video93% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 93% 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.
  • 14% 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 523 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

  • Sep 5, 202623x their median

    THE AI CYCLE THAT WILL RETIRE YOU IN THE NEXT 5-10 YEARS Sharing this once. Do NOT lose it. Keep this. The government and the largest companies in the world are showing you where capital is going. Follow the BUILDOUT: PHASE 1 2026–2027: BUILD THE AI STACK AI Chips: $NVDA $AMD $AVGO $INTC Memory / HBM: $MU $SNDK Networking: $MRVL $QCOM Photonics / Optics: $AAOI $LITE Data Centers: $IREN $APLD Cooling / Infrastructure: $SMCI $DELL Storage: $HPE GPU Cloud: $CRWV $NBIS $MSFT $AMZN Electrical Equipment: $NVT Cybersecurity: $CRWD PHASE 2 2028–2030: POWER THE MACHINE Grid Infrastructure: $PWR Power Producers: $CEG Natural Gas / Turbines: $VST On-Site Power: $BE Nuclear: $OKLO $CEG Fusion: Emerging / mostly private Copper: $FCX $SCCO Critical Metals: $ALB $MP Rare Earths: $MP $USAR Electrification: $TE PHASE 3 2030+: AUTOMATE THE WORLD AI Applications: $PLTR $NOW $SNOW Robotics: $TSLA $SERV Autonomy: $ACHR Drones: $AVAV $ONDS $KTOS Defense Tech: $KTOS $AVAV Space Economy: $RKLB $ASTS Quantum: $IONQ $QBTS WHAT DOES AI FORCE THE WORLD TO BUILD NEXT? That’s what you ask yourself. Save this.

    4.8K94115338453K viewsView on X
  • Sep 6, 20269.3x their median

    THIS HAS MARKED EVERY MAJOR BUYING & SELLING OPPORTUNITY SINCE 1990 Save this. You will use it forever. This is how generational wealth is made. Dot-Com Crash. Global Financial Crisis. COVID Crash. 2022 Bear Market. 2025 Tariff Selloff. The $VIX is Wall Street’s fear gauge. If you trade $SPY or $QQQ, you need to understand it. VIX <20: TRIM / REDUCE RISK VIX 20–30: HOLD VIX 30–40: START BUYING VIX >40: BUY THE PANIC RIGHT NOW: VIX 14.53 We’re back in the low-volatility zone. Trim positions and let winners run. Do less right now. Fear creates opportunity. That’s where the real wealth is made.

    2.0K3435218257K viewsView on X
  • Sep 5, 20262.3x their median

    This weekend is where your $100K trading journey starts. This is the exact setup that has generated me over $1,000,000 this year: • Wait for the 8/21 cross • Break the key level • Retest the level + 8 EMA • Enter on confirmation • Use the 21 EMA as defense Screenshot this. Find this setup this weekend. Use it next week.

    5165324241K viewsView on X
  • Sep 7, 20261.9x their median

    How I plan to have another $50,000 week This is my EXACT process you can steal. Last week I caught: Memory: $SNDK $MU Crypto/Fintech: $HOOD $CRCL $COIN Space: $ASTS That didn’t start with the individual stocks. It started with finding where money was rotating. Every weekend I scan sectors first: $SMH - Semis $DRAM - Memory $IGV - Software $ARKF - Fintech / Crypto $CIBR - Cyber $COPX - Copper $NLR - Nuclear $QTUM - Quantum $ARKX - Space $XBI - Biotech $IWM - Small Caps Then I look for: • Relative strength vs $SPY / $QQQ • 8/21 trend holding • Bases getting ready to break • New highs / leadership • Strength on weak market days • Volume starting to expand • The strongest stocks inside the strongest sectors Then I: Find the sector. Find the leader. Wait for the break and retest. Then enter. Now I’m doing the same thing this week.

    4323923450K viewsView on X
  • Jul 30, 2026

    DO NOT MISS BUYING THE BOTTOM When do we BUY AI again? History says the average midterm-year bottom forms between August and October. We’re entering that window now. At the same time, several AI leaders are testing major daily demand zones after months of selling: • $MU • $SNDK • $DRAM • $ARM I’m waiting for price to confirm that buyers are defending these levels. If they do, this could be where the next major swing opportunities begin. Wait for my signal. We will catch this together.

    30823311100K viewsView on X
  • Sep 4, 2026

    For anyone learning how to find stocks BEFORE they run: This is EXACTLY how I found the memory rotation early. $DRAM : $MU $SNDK And it’s how I’ll find the next one. Don’t overcomplicating it. I’m looking for: • A sector/theme quietly gaining strength • The ETF beginning to outperform • Leaders building bases before the breakout • 8/21 turning bullish • Relative strength vs the market • Break → retest → continuation I don’t start with a random stock. I find where the money is rotating first in an ETF. Then I find the strongest names inside it.

    2972714132K viewsView on X
  • Sep 9, 2026

    THIS IS WHY YOU ARE BROKE TRADING You are buying a the WRONG time. Save this if you want your first $10K Week. Stocks move in 4 Stages: Stage 1: Build your watchlist. Let the base form. Stage 2: Buy the confirmed break and retest. Ride the trend. Stage 3: Take profits as momentum fades. Stop chasing. Stage 4: Protect capital. Stop buying every dip. I make my money buying into Stage 2. We made money buying $ASTS $HOOD $SNDK $MU $COIN last couple of weeks Now I’m watching $IREN $LITE $AAOI $RKLB $APLD $META gear up for potential Stage 2 moves. I want the 8/21 turning bullish, price breaking out of the base, and a retest that holds. Being on my watchlist isn’t a buy signal. Confirmation is. Prepare in Stage 1. Execute in Stage 2. STOP buying in stage 3x

    2343211118K viewsView on X
  • Sep 8, 2026

    MY NEXT SECTOR ROTATION WATCH This is how I find the next move BEFORE everyone starts chasing. Sectors currently breaking out: $XLK TECHNOLOGY $AAPL $MSFT $PLTR $CSCO $ORCL $DRAM MEMORY $MU $SNDK $WDC $STX $SMH SEMICONDUCTORS $NVDA $AVGO $AMD $LRCX $AMAT $QCOM Sector on watch for a break out: $DTCR DATA CENTERS / AI INFRASTRUCTURE $VRT $CRWV $NBIS $APLD $IREN All 4 are sitting at areas I’m watching for the same setup: Demand holds 8/21 turns bullish Downtrend breaks Retest holds Then I attack the strongest names inside the strongest sector. Everyone wants what already ran. I’m looking for WHERE MONEY ROTATES NEXT.

    2362214127K viewsView on X
  • Sep 7, 2026

    THE SAME STRATEGY THAT MADE ME MY FIRST $100K NOW IN A BOT Missing the setup? Chasing after it runs? Looking for confirmation AFTER you’ve already bought. That’s why I built BANKS Bot + Scanner. • It has already caught multiple 1,000% trades The Scanner finds which name is ready and most important which trades to NOT Trade. Saving you thousands and blown accounts. The Bot confirms whether the move is real before you chase it. No more FOMO. No more second guessing. Find the right trade with confidence. See what’s lining up and what’s missing BEFORE risking your money. BANKS Bot + Scanner. $299 lifetime founder access. PRICE INCREASES AFTER TODAY Get access below 👇 https://t.co/0JD3XhyUE2

    2012318138K viewsView on X
  • Sep 3, 2026

    THE SAME STRATEGY I USE TO DAY TRADE IS THE STRATEGY BEHIND MY $100K SWING MONTHS. Save this. Do not lose it. You’ll use it forever. The setup: 1. Find major supply/demand 2. Wait for the break 3. Let price retest the level 4. Confirm the 8/21 trend Enter Ride the trend until it breaks Day trade = 2/5 Min Swing trade = Daily/Weekly Trades we hit TODAY $CRCL +200% and 100% $SPY +420% (Day trade) $ASTS +122% $HOOD +500% Together we will make sure you become profitable. It’s time to get rich.

    203256127K 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.

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Reading these numbers

A typical post picks up 258 interactions against 252K followers, an engagement rate of 0.102%. Measured over 14 original posts, its engagement rate beats 62% of 6,874 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 30K times each, and 0.873% of those impressions turn into an interaction. That is about 11.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video, 7% are part of a thread and 14% link out. The account's strongest tracked post pulled 6.0K interactions, about 23x its own typical post.

What is Justin Banks's engagement rate on X?
Justin Banks (@RealJGBanks) has an engagement rate of 0.102%, based on the median interactions across 14 original posts from the last 30 days against 251,964 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.102%, Justin Banks sits above the 50th percentile of the 65,980 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 @RealJGBanks have real engagement?
Its engagement rate beats 62% of the tracked X accounts closest to it in follower count (6,874 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 @RealJGBanks post?
Most posts go out around 19:00 UTC, and Tuesday is its busiest day, at roughly 0.73 posts per day across the measured window.

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