Justin Banks engagement report
@RealJGBanks - 260K followers on X
Measured over 22 original posts from a 30-day window, last computed on September 26, 2026.
Engagement
A typical post picks up 276 interactions against 260K followers, an engagement rate of 0.108%. Measured over 22 original posts, its engagement rate beats 61% 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 30K times each, and 0.91% 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 1.3 post a day over the last 30 days, though only 40% 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 22 posts sampled, 95% carry an image or video and 14% link out. The account's strongest tracked post pulled 6.0K interactions, about 22x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on September 26, 2026.
Compared with accounts its own size
Justin Banks's engagement rate beats 61% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 40% 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 0.108%, Justin Banks sits above the 25th percentile of the 205,475 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 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 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.
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 | 95% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 14% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 95% 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 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
- Sep 5, 202622x 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.
- Sep 6, 20268.7x 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.
- Sep 23, 20263.4x their median
HERE IS THE SECRET TO YOUR FIRST $10K MONTH TRADING Stop starting with random stocks. START with the Sector ETF’s 1. Find the strongest sector. 2. Find the stocks leading that sector. 3. Wait for any pullbacks into the Daily 8 EMA on the leader. ETF -> LEADER -> SETUP SEMICONDUCTORS $SMH $EUV : $NVDA $ARM MEMORY $DRAM : $MU $SNDK OPTICS / PHOTONICS $LYTE : $LITE $COHR SOFTWARE $IGV : $PLTR $ORCL CYBERSECURITY $CIBR : $CRWD $PANW AI INFRA / DATA CENTERS $WGMI $DTCR : $ALAB $APLD ROBOTICS $BOTZ : $ISRG $ABB QUANTUM $QTUM : $IONQ $RGTI SPACE $ARKX : $RKLB $ASTS NUCLEAR $NLR : $CEG $OKLO GOLD / SILVER $GLD $SLV : $NEM COPPER $COPX : $FCX RARE EARTHS $REMX : $MP SMALL CAPS $IWM : $HUT FINANCIALS $XLF : $GS ENERGY $XLE : $XOM AIRLINES $JETS : $DAL BIOTECH $XBI : $CRSP The ETF tells you WHERE money is flowing. The individual stocks tell you WHO is leading. I want the leader
- Sep 5, 20262.2x 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.
- Sep 7, 20261.8x 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.
- Sep 25, 20261.6x their median
INSANE 🤯 Largest day. Debt free. Daughters college fund secured THIS is why you never give up…. https://t.co/zPRM3ZNw3E
- Sep 14, 2026
This ONE rule will save you THOUSANDS Trading Know when to trade and when NOT to trade. Save this. Every day mark 2 levels: Daily High Daily Low Break ABOVE the high = look for LONGS Break BELOW the low = look for SHORTS Price stuck in between = NO TRADE Can be used for $SPY $QQQ and individual names like $COIN These rules will not only GROW your account but save you from Blowing it. Wait for price to pick a side and enter.
- 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.
- Sep 24, 2026
THIS IS HOW TO MAKE $10K WHEN THE MARKET SELLS Here’s my short sided setup Setup: 8 EMA crosses below the 21 EMA Price breaks a major level Wait for the first retest from below Enter on rejection Ride to the next level 8/21 CROSS + LEVEL BREAK + FIRST RETEST 5 min timeframe https://t.co/YELHxZS7zz
- 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.
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 276 interactions against 260K followers, an engagement rate of 0.108%. Measured over 22 original posts, its engagement rate beats 61% 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 30K times each, and 0.91% 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 1.3 post a day over the last 30 days, though only 40% 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 22 posts sampled, 95% carry an image or video and 14% link out. The account's strongest tracked post pulled 6.0K interactions, about 22x its own typical post.
- What is Justin Banks's engagement rate on X?
- Justin Banks (@RealJGBanks) has an engagement rate of 0.108%, based on the median interactions across 22 original posts from the last 30 days against 259,683 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.108%, Justin Banks sits above the 25th percentile of the 205,475 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 61% 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 @RealJGBanks post?
- Most posts go out around 19:00 UTC, and Tuesday is its busiest day, at roughly 1.33 posts per day across the measured window.