TraderLion engagement report
@TraderLion - 230K followers on X
Measured over 79 original posts from a 30-day window, last computed on October 1, 2026.
Engagement
A typical post picks up 92 interactions against 230K followers, an engagement rate of 0.04%. Measured over 79 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 11K times each, and 0.856% of those impressions turn into an interaction. That is about 4.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 79 posts sampled, 92% carry an image or video and 13% link out. The account's strongest tracked post pulled 563 interactions, about 6.1x its own typical post.
Measured over 79 original posts from a 30-day window, last computed on October 1, 2026.
Compared with accounts its own size
TraderLion's engagement rate beats 43% 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 39% 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 0.04%, TraderLion sits above the 25th percentile of the 206,215 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.143% |
| 75th percentile | 0.68% |
| 90th percentile | 2.56% |
| 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 20:00 UTC, and Wednesday 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 | 92% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 13% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 92% 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.
- 13% 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 304 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 24, 20266.1x their median
Mark Minervini doesn't wait for his full stop to get hit. He cuts losses early on technical violations: low volume breakouts that stall, sudden volume spikes on down days, or losing key moving averages. Exit before the gap down occurs. https://t.co/O38lup3mRT
- Sep 4, 20264.9x their median
Phil Goedeker: Market Wizard. Turned $5,000 into over $50 million, now over $55 million in profits. Featured in Jack Schwager's *Market Wizards: The Next Generation*. Here's his full playbook in 10 clips ๐งต๐ https://t.co/CqFj9XfNpU
- Aug 30, 20264.2x their median
Shake Pryzby is the founder of Pinpoint Trading and a top performer in the US Investing Championship. He generated over a 100% return in the million-dollar division by mastering execution, time frames, and psychological discipline. Here is how he navigates difficult market regimes, manages trade risk, and executes setups with precision. Here's his full playbook in 10 clips ๐งต๐
- Sep 19, 20263.0x their median
Mark Minervini doesn't rely on luck to protect his capital. He uses progressive exposure to scale into positions only after current trades earn a profit. By funding open risk with paper gains, winning positions are locked in so they never turn into losses. Earn the right to size up.
- Sep 20, 20263.0x their median
Everyone wants to buy clean breakouts. Few understand how Mark Minervini trades the recovery after a squat. When a VCP pivot fails initially, he watches for immediate structural support. He re-enters on the reversal with tight 5 to 6 percent risk parameters as buyers step back in. Rebound strength confirms the entry.
- Sep 20, 20262.8x their median
Mark Minervini knows that breakout setups look identical right at the pivot. True market leaders show immediate follow-through and volume expansion, while failing stocks exhibit distribution warning signs during the attempt. Follow-through separates leaders from laggards. https://t.co/An7XOLNA4u
- Sep 26, 20262.7x their median
Wall Street won't teach you this: massive gaps at the end of a run signal danger, not opportunity. Stan Weinstein uses Stage 3 topping signals and exhaustion gaps far above moving averages to exit before the reversal hits. Never buy extension. https://t.co/tkFZOSbGTC
- Sep 17, 20262.7x their median
Most traders wait for a breakout before buying, but @RossHaber builds his position early. He uses progressive risk management to enter leading setups before the crowd notices, buying small inside tight consolidation and adding as the chart proves him right. Build size before the breakout.
- Sep 22, 20262.7x their median
David Ryan once suffered a brutal 73% drawdown. The fix wasn't a new indicator: it was eliminating extended entries. He audited his past trades, identified late buys as his core leak, and strictly enforced buying only at proper pivot points near valid bases. Discipline fixes drawdowns.
- Sep 16, 20262.2x their median
Stan Weinstein doesn't hold extended stocks when defensive tape takes over. He uses a strict 50-day moving average exit rule to lock in gains the moment momentum shifts. Protect your paper profits. https://t.co/h3aN0AVT8r
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 92 interactions against 230K followers, an engagement rate of 0.04%. Measured over 79 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 11K times each, and 0.856% of those impressions turn into an interaction. That is about 4.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 79 posts sampled, 92% carry an image or video and 13% link out. The account's strongest tracked post pulled 563 interactions, about 6.1x its own typical post.
- What is TraderLion's engagement rate on X?
- TraderLion (@TraderLion) has an engagement rate of 0.04%, based on the median interactions across 79 original posts from the last 30 days against 229,506 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.04%, TraderLion sits above the 25th percentile of the 206,215 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 @TraderLion 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 @TraderLion post?
- Most posts go out around 20:00 UTC, and Wednesday is its busiest day, at roughly 3.4 posts per day across the measured window.