TradeOS engagement report
@TradeOS_ai - 216K followers on X
Measured over 2 original posts from a 30-day window, last computed on September 12, 2026.
Engagement
Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 30 interactions against 216K followers, an engagement rate of 0.014%. Posts are seen about 4.1K times each, and 0.726% of those impressions turn into an interaction. That is about 1.88% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Thursday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video, 50% are part of a thread and 50% link out. The account's strongest tracked post pulled 981K interactions, about 32700x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 2 original posts from a 30-day window, last computed on September 12, 2026.
Where this sits in the catalog
At 0.014%, TradeOS sits above the 10th percentile of the 156,148 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.127% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.3% |
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 00:00 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.
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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 50% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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 331 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
- Mar 2, 202632700x their median
https://t.co/zyoI3heyAe
- Aug 5, 20262.8x their median
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- Apr 10, 20261.9x their median
all i know is i like V-shapes and QQQ just drew a pretty one https://t.co/aTFgw2fvSy
- Jun 2, 2026
https://t.co/DLaK05prFe
- Jun 12, 2026
The best AI for stock trading is not a stock picker. It is a workflow. 1 Market context 2 Technicals 3 Catalysts 4 Relative strength 5 Risk 6 Human approval https://t.co/XTaoZ5O2Il https://t.co/Tnqy23sL5w
- Aug 27, 2026
$NVDA just dropped another absurd quarter: +106% revenue growth, 75% gross margins, and Data Center +117%. And somehow the valuation is still the part worth arguing about. At $213, our filing-based work puts fair value around $185–$225, with the bull case requiring basically flawless execution for years. Full breakdown in today’s newsletter ↓ https://t.co/oQt2w6zxvj
- Aug 20, 2026
A 10-Q can tell you revenue grew. That isn't enough. Before trading a stock, I want to know: - Revenue trend - Margin trend - Cash conversion - Debt and dilution - What valuation already assumes - What would invalidate the thesis - And then I still need the chart, catalyst, and risk setup.
- Jul 9, 2026
New Feature: Research & Task 🎉 We’re excited to announce the launch of Research & Task, a new feature that helps users quickly analyze market conditions and turn it into clear next steps. With Research & Task, users can ask for things like scheduled technical analysis, risk checks, market research workflow, and AI indicators planning in one place. It’s designed to make research faster, easier, and more actionable. This feature is now available in beta test. Try it out and let us know what you think! 🏆
- May 25, 2026
📢 'My First Signal' Campaignis Live. Your Agent can now send real-time alerts to Telegram, Discord, Mobile, and Web. Any pattern. Any signal. Any combination you define. And we want to see your first one. ✅How to join: Step 1. Set up your first Agent alert for stocks/forex/crypto/gold Step 2. Take a screenshot of the TradeOS alerts you received Step 3. Post your first signal alert on X or Facebook→ @ us + use #myfirstsignal 🎁 Rewards : → We pick "Signal of the Week" — most timely, most dramatic, most alpha → Top pro-traders featured in our weekly community roundup with rewards Not sure what to set as your first trigger? Here's what other traders are monitoring: 📈 Bull flag on BTC 4H 📉 RSI(14) < 28 on ETH 📊 Volume spike + resistance break — both conditions together 👉🏻 Start now: https://t.co/CloAWjrp8d... 📩 Setup FAQ: https://t.co/LcqioYSjRY
- Jun 9, 2026
AI makes algo trading prototypes faster. But fast code does not mean a strong strategy. The real workflow: Test the idea Compare against baselines Add fees and slippage Check regimes Turn valid logic into an AI agent TradeOS MCP helps connect strategy logic to structured trading workflows. https://t.co/G6azNPBLep
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 30 interactions against 216K followers, an engagement rate of 0.014%. Posts are seen about 4.1K times each, and 0.726% of those impressions turn into an interaction. That is about 1.88% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Thursday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video, 50% are part of a thread and 50% link out. The account's strongest tracked post pulled 981K interactions, about 32700x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is TradeOS's engagement rate on X?
- TradeOS (@TradeOS_ai) has an engagement rate of 0.014%, based on the median interactions across 2 original posts from the last 30 days against 215,749 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.014%, TradeOS sits above the 10th percentile of the 156,148 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 @TradeOS_ai have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @TradeOS_ai post?
- Most posts go out around 00:00 UTC, and Thursday is its busiest day, at roughly 0.13 posts per day across the measured window.