Back to @StocksToTrade's profile

StocksToTrade engagement report

@StocksToTrade - 300K followers on X

Measured over 30 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 300K followers
Per impression
0.094%
5.9K views on a typical post
Reach
1.95%
of its followers see a post
Typical post
6
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 13% of days
Peak time
20:00 UTC
Thursday

A typical post picks up 6 interactions against 300K followers, an engagement rate of 0.002%. Measured over 30 original posts, its engagement rate beats 10% of 6,874 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 5.9K times each, and 0.094% of those impressions turn into an interaction. That is about 1.96% 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 13% of days saw any activity at all. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 30 posts sampled, 30% carry an image or video and 50% link out. The account's strongest tracked post pulled 31 interactions, about 5.2x its own typical post.

Measured over 30 original posts from a 30-day window, last computed on September 5, 2026. Recurring tag: #albania.

Compared with accounts its own size

StocksToTrade's engagement rate beats 10% 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 6% 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 0.002%, StocksToTrade sits below the 10th percentile of the 66,393 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile119.5%

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 20:00 UTC, and Thursday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video30% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 30% 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.
  • 50% 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 260 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 3, 20265.2x their median

    At first, even @Stratataaa wasn’t sure trading could become a career. Seeing @timothysykes students succeed helped give him the conviction to keep learning and improving. Now, Strati is the lead trainer of the Inner Circle and is closing in on $2 million in trading profits. Sometimes belief comes from seeing what’s possible.

    208305.5K viewsView on X
  • Sep 3, 20263.7x their median

    One of @timothysykes’ biggest losses came from losing 30% in a single trade. The lesson wasn’t just about the loss- it was about what happens when confidence turns into overconfidence. Watch the full conversation today: https://t.co/6vwRVZ1IqH https://t.co/Br4tuas38Y

    164207.5K viewsView on X
  • Sep 4, 20263.5x their median

    Winning can be dangerous when confidence turns into ego. @timothysykes explains why staying humble is one of the most important lessons in trading. Watch the full video: https://t.co/6vwRVZ1IqH https://t.co/RE0vnqZXag

    136205.6K viewsView on X
  • Sep 4, 20263.2x their median

    Most traders focus on Monday through Wednesday. @timothysykes explains why Friday afternoon can offer a different kind of opportunity. Learn his over-the-weekend strategy: https://t.co/8yGe7hyboU https://t.co/wSAbOvMvS8

    153106.1K viewsView on X
  • Sep 3, 20263.0x their median

    28 years of trading. 28 lessons learned the hard way. @timothysykes breaks down the biggest lessons from nearly three decades in the market, from risk management and discipline to the mistakes traders need to avoid. If you’re serious about improving, study the experience of someone who’s been through multiple market cycles. Watch the full video: https://t.co/JYAQVWDSzQ

    143107.6K viewsView on X
  • Sep 3, 20262.5x their median

    Join @bensturgill LIVE today at 3:30 PM ET for the Lotto Live Session. No script. Nothing overthought. Just Ben walking through trades live and having some fun with it. It’s his favorite hour of the week. Come hang out and catch the live trades! Add it to your calendar and join us here: https://t.co/Q29HAbx7kf

    122105.7K viewsView on X
  • Sep 4, 20262.3x their median

    Not every breakout is worth trading. @tbohen breaks down why price and volume need to work together. Without strong volume and confirmation, that breakout can quickly become a trap. No confirmation? Get out. https://t.co/yQ9r6C5wgs

    121104.8K viewsView on X
  • Sep 5, 20261.8x their median

    What do @timothysykes’ 50+ millionaire students have in common? Thousands of hours of studying, persistence, and respect for the process. See the students and learn more here: https://t.co/ryjtbaNPBb https://t.co/OIeTBXX4DC

    81202.9K viewsView on X
  • Sep 3, 20261.8x their median

    New traders don’t need complicated strategies. @tbohen breaks down why the focus should be simple, repeatable patterns, small size, defined risk, and consistency. Learn the setups first. Build discipline. Then scale. https://t.co/xRNqqcCI3g

    92004.5K viewsView on X
  • Sep 2, 20261.8x their median

    Knowing when to stop is just as important as knowing when to trade. Set a daily max loss before the market opens. Once you hit it, walk away. Protecting yourself from revenge trading can protect your account and keep you in the game long term. https://t.co/l1YDJ3y3GS

    110004.8K 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

#albania

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.

Buy or sell X accounts - escrow-protected

PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 6 interactions against 300K followers, an engagement rate of 0.002%. Measured over 30 original posts, its engagement rate beats 10% of 6,874 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 5.9K times each, and 0.094% of those impressions turn into an interaction. That is about 1.96% 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 13% of days saw any activity at all. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 30 posts sampled, 30% carry an image or video and 50% link out. The account's strongest tracked post pulled 31 interactions, about 5.2x its own typical post.

What is StocksToTrade's engagement rate on X?
StocksToTrade (@StocksToTrade) has an engagement rate of 0.002%, based on the median interactions across 30 original posts from the last 30 days against 300,335 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, StocksToTrade sits below the 10th percentile of the 66,393 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 @StocksToTrade have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the bottom 10% 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 @StocksToTrade post?
Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.

Keep going