XO engagement report
@Trader_XO - 549K followers on X
Measured over 8 original posts from a 30-day window, last computed on August 27, 2026.
Engagement
A typical post picks up 291 interactions against 549K followers, an engagement rate of 0.053%. Measured over 8 original posts, its engagement rate beats 59% of 3,791 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 53K times each, and 0.544% of those impressions turn into an interaction. That is about 9.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 50% carry an image or video, 38% are part of a thread and 25% link out. The account's strongest tracked post pulled 1.6K interactions, about 5.5x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on August 27, 2026.
Compared with accounts its own size
XO's engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,791 accounts, accounts of similar size (decile 8 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 36% 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 0.053%, XO sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 15:00 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Aug 11, 20255.5x their median
Auction Context – Market Profile as Your Map Before you think about placing a trade, you want to know where in the auction cycle the market is. Market Profile gives you the structure that most traders don’t see when they’re staring at candlesticks. 5 Core Concepts to Track: 1. Value Area High (VAH) / Value Area Low (VAL) Defines the 70% of the session’s volume where most business was done. Outside of value = “expensive” or “cheap” to the market participants. 2. Point of Control (POC) Price with the most activity = a magnet in balance conditions. 3. Main Day Type Recognition (there are others) 3.1 Balanced -> Mean reversion more likely. 3.2Trend Day -> Initiative activity dominates which means profile elongates in one direction. 3.3 Double Distribution → Two distinct value zones; mid-point acts as a pivot. 4. Structural References Single prints, low-volume nodes (LVNs) and (HVNs), poor highs/lows, unfinished auctions, each can act as magnets or barriers. 5. Why this matters: Knowing the auction context lets you pre-define where business is likely to occur and where rejections are probable = which stops you from chasing every micro move. NOW ONTO GAME PLAN: Auction context feeds into your game plan. You’re answering the following: “Am I a buyer, seller, or observer today?” “Where is my line in the sand?” Premarket Prep Routine: - Mark prior session VAH, VAL, POC. - Mark overnight high/low and see how they relate to prior value. - Note anomalies (e.g., single prints) that could be filled. Decide if you’re looking for: Initiative trades (price driving away from value) ? Responsive trades (price returning to value) ? Bias Examples: Open above VAH + holding → Look for longs if order flow supports continuation. Open inside prior value → Fade moves to VAH or VAL unless initiative order flow breaks out. Mindset: You should be able to write your bias in one sentence before the open. If you can’t, you’re not ready to trade. Anyway just my 1 cent whilst Im watching a trade develop - cheers
- Jul 11, 20264.2x their median
$BTC Higher Time Frame Having shorted this move from the 125s, I personally see little value in continuing to press swing shorts at these levels. My focus has shifted back toward spot accumulation, where I believe the more attractive asymmetric play lies in identifying high-quality buying opportunities for the longer-term move over the next several quarters.
- Jul 17, 20263.7x their median
I just want to say a genuine thank you to everyone who took part in the XO Mentorship. What was initially meant to run for four weeks ended up continuing from March last year, becoming far more substantial than I had ever anticipated. It was practically free, but we covered what I consider to be the core foundations of a real trading process. More specifically, the core framework I’ve built and refined over several years through hands-on experience, costly mistakes, and strict accountability. We worked through the full development cycle of a discretionary trader: • Building the necessary tracking & review sheets • Developing a repeatable strategy / playbook • Reading order flow & refining trade execution • Managing risk & navigating psychological demands I also shared some of my own trade execution strategies which many had asked for, and seeing many of you apply them effectively within your own processes has been incredible. More importantly, the mentorship was about learning how to think independently. How to review your decisions honestly, isolate recurring flaws, refine what works, and ultimately carve out an edge through repetition, data, and deliberate performance review. These same foundations shaped my own development and played a major role in helping me become successful over the long term. They are not a shortcut. In my view, they represent the absolute minimum level of structure, discipline, and effort required to give yourself a genuine chance because this is a very hard game. The most rewarding part has been watching that progression unfold. The quality of your analysis, journaling, market commentary, and independent thinking has improved significantly. I see so many of you now approach the market with far greater clarity, context, structure, and accountability than when you first joined. That progress belongs entirely to those who stayed committed, remained open-minded, and did the work. Teaching also forced me to look inward. Breaking down ideas that had become instinctive pushed me to question, organise, and understand my own process at a deeper level, sharpening my own game along the way. I’ve already started working on further topics that interest me, so keep an eye out for Jan 2027 for whatever comes next. Thank you again for taking part, contributing, and trusting the process. I am genuinely proud of the development I’ve seen. Wishing you all continued progress, success, and prosperity in trading and in life. Stay blessed. XO
- Jul 2, 20262.2x their median
Bitcoin has never followed a negative June with a negative July. Since 2013: • 7/7 positive Julys after a negative June • Average July: +13.9% • Median July: +16.8% https://t.co/5clWIwb6CL
- Aug 12, 20261.9x their median
My custom Exocharts Ladder template below for those who wanted a copy Cheers https://t.co/9lUQOa50ym https://t.co/SY99WY2AC3
- Jun 3, 20261.9x their median
Some of the bases being built on alts are.... fascinating Just need a burst of momentum and we may get to play musical chairs for a short period.
- Aug 12, 2026
Simple tip but... Don't automate an agentic workflow until you've successfully performed it manually enough times to understand what you're automating...
- Aug 24, 2026
Quite impressed by near intents tbh...
- Jul 31, 2026
Never rely on a seed phrase A far better combination is seed phrase + passphrase or 25th key... https://t.co/z3WyuvumHD
- Aug 7, 2026
Well, it’s Friday, and I couldn’t help but laugh when I saw the comment below on a YouTube video covering some AI topic: "There are so many YouTubers who act like they’ve just made a groundbreaking discovery, while they’re just showing how to chew gum with your teeth." 😂 It perfectly captures a lot of what we're currently seeing around AI on Youtube, X - hint "Graph Engineering"... no comment There's no denying that the advancement of AI and autonomous agents makes this a fab time to be a trader for those leveraging AI. But... not everything built with AI automatically represents innovation. One area I remain unconvinced by is the rush to build yet another custom screener or scanner or backtester or terminal or (insert here)..... etc etc - crowded space - low barrier to entry... Unless the objective is to commercialise it as a product I struggle to see the competitive advantage in developing a platform that already exists across dozens of established platforms. Even as a commercial product, you are likely entering an increasingly crowded market competing with many other teams - so good luck on the distribution front.... unless you have a powerhouse marketing strat and moat... For me, the real leverage of AI lies in its ability to amalgamate fragmented information, retain context and connect data that has historically been difficult or time consuming to assimilate. We're already drowning in noise and so the opportunity isn't scan more stocks, charts, signals or alerts. Traders already have more information than they can reasonably process. The opportunity is to take that information and apply strategy specific filters, conditions and decision gates that gradually remove everything irrelevant. Why build another scanner/screener that produces hundreds of potential setups and leaves you drowning in more noise - when does any of it become actionable? My focus has been developing my own systems around the strategies I actually trade, systems that continuously monitor the market, understanding the context surrounding those strategies and bring to my attention the opportunities that fulfill their criteria. It's about automating as much of the research, collection, structuring, filtering and contextual interpretation process as possible, until fragmented market information becomes clear, relevant and actionable. The objective is not having to manually process more information - but what I call actionable information edge... perhaps decision system is a better term...? All comes down to - better intelligence... Thats how I currently think about leveraging AI for trading edge... Have a fab and blessed Friday..
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 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 291 interactions against 549K followers, an engagement rate of 0.053%. Measured over 8 original posts, its engagement rate beats 59% of 3,791 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 53K times each, and 0.544% of those impressions turn into an interaction. That is about 9.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 50% carry an image or video, 38% are part of a thread and 25% link out. The account's strongest tracked post pulled 1.6K interactions, about 5.5x its own typical post.
- What is XO's engagement rate on X?
- XO (@Trader_XO) has an engagement rate of 0.053%, based on the median interactions across 8 original posts from the last 30 days against 549,222 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.053%, XO sits above the 25th percentile of the 36,654 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 @Trader_XO have real engagement?
- Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,791 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 @Trader_XO post?
- Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 0.93 posts per day across the measured window.