𝙃𝘼𝙕𝙀𝙉𝙇𝙀𝙀 engagement report
@hazenlee - 76K followers on X
Measured over 31 original posts from a 30-day window, last computed on October 18, 2026.
Engagement
A typical post picks up 65 interactions against 76K followers, an engagement rate of 0.085%. Measured over 31 original posts, its engagement rate beats 46% 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 18K times each, and 0.364% of those impressions turn into an interaction. That is about 23.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 31 posts sampled, 65% carry an image or video. The account's strongest tracked post pulled 13K interactions, about 199x its own typical post.
Measured over 31 original posts from a 30-day window, last computed on October 18, 2026. Recurring tag: #okxai交易.
Compared with accounts its own size
𝙃𝘼𝙕𝙀𝙉𝙇𝙀𝙀's engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 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 17% 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 0.085%, 𝙃𝘼𝙕𝙀𝙉𝙇𝙀𝙀 sits above the 25th percentile of the 205,152 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 16:00 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 | 65% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 65% 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.
- 0% 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 166 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 9, 2026199x their median
You can't make this up. The US Treasury just announced it is tripling long-term buybacks to $6 billion and yields STILL rallied on the news. That means the US Treasury went from doubling, to "at least doubling," to tripling long-term bond buybacks and yields are still rising. This puts the 10Y Note Yield above 4.85% for the first time since November 2023, up +15 basis points from pre-announcement levels. The bond market is quite literally fighting the US Treasury as the Iran War continues, with the 10Y Note Yield nearing a +100 basis point move since the war began. Without an end to the Iran War, we are on track to see the 10Y Note Yield above 5.00% by next week. American consumers, homebuyers, and borrowers are in for a rude awakening.
- Apr 25, 2025133x their median
心疼剑魔🥹 https://t.co/iaE6s9bxHJ
- Oct 8, 2026125x their median
BREAKING: White House announces “New Golden Age of Science,” investing $6B to accelerate breakthroughs in AI, quantum computing, nuclear fusion, & space exploration.
- Oct 9, 202660x their median
哈哈哈 https://t.co/TzrontQwXb
- Oct 14, 20266.9x their median
不得不佩服老马的嗅觉 要不说人家是世界首富呢 大逃杀他最先吃鸡 其他的Anthropic和OpenAI吃尾气 孙正义傻篮子重仓OpenAI结果最后还没上市套现 要爆炸了 https://t.co/C70AtfCiNJ
- Sep 3, 20265.8x their median
很多人私信问我，我的交易方式是什么，直播和视频过程中说了无数次，我是做价格行为的，这种交易方式需要大量的交易经验，才能对市场和K线有一定的理解，价格行为不适合所有人，必须要有逻辑能力才可以，大家可以去找找相关的课程，你们去学习一下，如果不适用，那就另辟蹊径，做交易不一定墨守成规，适合自己的才是最好的。
- Sep 8, 20265.2x their median
今天千禧年大奖的瓜估计大家吃得都很开心，作为流体力学的从业人士，我稍微帮大家整理一下前因后果。https://t.co/ektp10uxr1 事情的起因是 Levent Alpoge（在 Anthropic 工作，但以私人身份研究）和 Tristan Buckmaster 合作，在 8 月 15 日搞出了 3D Euler 方程（也就是无耗散的 Navier-Stokes 方程）的有限时间爆破解，并在 8 月 22 日完成了 Lean4 的完全形式化验证。 到了 9 月初，圈子里突然有传言说 Anthropic 有人解决了千禧年难题。Tristan 为了澄清传闻，在 9 月 3 日发邮件联系了 OpenAI 的 Sebastien Bubeck 等人。结果 9 月 6 日双方见面（Levent 因潜在的利益冲突未出席），OpenAI 居然直接摊牌，说他们前几天刚启动了一个项目，用内部 AI 模型直接做出了更难的 Navier-Stokes 爆破解。 这里最核心的争议在于，Tristan 在整个研究过程中一直在使用 OpenAI 的 Codex。而 OpenAI 承认他们是在 9 月初听说传闻后才成立团队大干特干的。这就引发了极其严重的怀疑：OpenAI 到底是直接通过后台抓取并窥探了 Tristan 在 Codex 里的推理过程与 Lean 代码，还是说仅仅知道了“这个问题已被解决”的存在性证明，然后靠天量的 Token 支出和算力暴力遍历了所有路径？ 更令人震惊的是 OpenAI 后续的应对方式。他们给了 Tristan 两个硬性选择：要么 Tristan 先发 Euler 的成果，第二天 OpenAI 就发布更强烈的 N-S 成果进行骑脸；要么 Tristan 踢掉 Anthropic 的合作者 Levent，独自作为一作发布 OpenAI 的成果，并声明使用了 OpenAI 的内部模型。在 Tristan 拒绝并表示要曝光后，OpenAI 甚至给出了带有威胁意味的暗示。 巧合的是，加州理工团队（https://t.co/hSVXGMSfjX）也在同一时期用物理信息神经网络（PINN）构造出了爆破解。 这里其实存在两种可能性： （1）OpenAI从codex的轨迹数据里得到了他们的Euler进展，然后在那之上推进到了Navier Stokes。但是我觉得这个存在一定的蹊跷，因为如果是这样的话，他们就不会在一开始的邮件里对Tristan这么生分。要么他们的结果是somehow进入到了训练数据里（真的有可能吗？就十几天？），要么就是他们直接找到了Tristan的结果。这两者似乎都存在一定的可以商榷的地方。 （2）也是我觉得可能性更大的。OpenAI确实没有从Tristan的Codex 轨迹获取信息，只是单纯在一两个星期前得知了他们的进展，然后用海量的人力算力遍历了所有可能性，这一点在Statement里面其实有描述。 现在我们不知道就是哪种情况，可能连OpenAI自己都不知道是什么情况——毕竟原子弹唯一的秘密就是原子弹是可以造出来的。
- Oct 14, 20264.7x their median
《永远看多是政治正确，周期面前装傻就是另一回事了》 生老病死，潮起潮落，繁荣衰退，都是自然规律。 人类几千年没能消灭生老病死，资本市场几百年也没能消灭经济周期。 长期看多美股当然没问题，毕竟人类社会长期发展，生产力持续进步，优质资产长期向上有其经济基础，时间永远无法倒转。 但拿长期上涨的历史规律，给任何时点的风险敞口背书，就有点耍流氓了。 长期向上是趋势，周期性出清是规律。两者从来不矛盾。 1929年、2000年、2008年，哪一次泡沫破裂之后，美股没有再创新高？但如果你恰好买在了高位，基本上十年周期没有正收益，且面临巨大回撤，和流动性锁死。 按照这种逻辑，既然几十年后还能创新高，当年所有风险提示岂不都是庸人自扰？那你还天天洗脑看多有什么意义？不都是废话吗？ 那还研究什么估值PE、流动性、杠杆和经济周期？闭着眼睛买就完了。 问题是，市场可以用十年证明你是对的，却只需要一次暴跌就让你的账户提前毕业。 你可以不知道顶部在哪里，没人能精准预测周期拐点。 但一个长期满嘴看多的人，偏偏要在市场下跌时跳出来嘲讽风险警告，拿未来几十年的上涨给当下的判断壮胆，这就很滑稽了。 既然你坚信永远上涨，为什么下跌时还需要反复出来给自己打气？ 上涨时喊长期主义，下跌时骂空头，反弹时宣布胜利。 把时间周期无限拉长，确实可以让自己永远正确。毕竟只要活得足够久，确实都能等到下一轮牛市。关键是你一定能等到吗？去年底我提醒金银的拉升风险，说不要fomo，遭到一众嘲讽，甚至人身攻击，金银每次回调周期都是10-30年的，高位fomo进去真的变成传家宝，套一辈子。 真正经历过完整牛熊周期的人都明白，投资的难点从来不只是判断资产最终能涨多高，还包括你能不能带着足够的本金活到那一天。 永远看多没有错，忽视周期风险却在高估值、高杠杆高情绪溢价阶段鼓吹无脑看多，非蠢即坏。 泡沫破裂之前，所有泡沫都还没破裂。 经济衰退之前，所有衰退都还没发生。 周期不会因为你信仰长期主义就网开一面，风险也不会因为你拒绝承认就自动消失。 市场最终会奖励承担合理风险的人，也会定期清算那些把幸存者偏差当成投资哲学的人。 牛市里人人都能当先知，熊市里才知道谁在裸泳。
- Oct 12, 20264.7x their median
男人容易精虫上脑，女人容易原地排卵。 交易市场也一样。 看到大阳线就兴奋，看到暴跌就恐惧，看到别人赚钱就嫉妒，看到自己亏钱就急着翻本。 雄性激素催生征服欲，多巴胺驱动追逐快感，皮质醇放大恐惧，损失厌恶让人死扛亏损。 你以为自己在分析行情，其实很多时候只是激素在替你下单。 FOMO 是贪婪的生理反应，恐慌割肉是求生本能，报复性交易是情绪失控后的自我补偿。 市场最擅长的，就是利用人类几百万年进化形成的本能，收割那些自以为理性的现代人。 人类的大脑为生存和繁衍而进化，可金融市场偏偏奖励那些能够克制即时冲动、延迟满足、接受不确定性的人。 交易最大的反人性，在于你必须用纪律对抗本能，用概率对抗直觉，用风控对抗欲望。 看对行情需要算力，做对交易需要定力。 别让下半身决定你的爱情，也别让肾上腺素决定你的仓位。 毕竟，市场里最昂贵的嫖资，往往叫作爆仓。
- Aug 4, 20264.5x their median
人生这一路，我越来越觉得，真正重要的东西无非三个字： 志气、勇气、义气。 志气，是你知道自己想成为什么样的人，所以哪怕暂时落魄，也不轻易把自己卖了。 勇气，是你明知道现实可能很残酷，依然敢于面对，敢于承担结果。行情可以看错，投资可以亏钱，选择也可能失败，但不能因为害怕失败，就把自己活成一个只会随波逐流的人。 义气，是你得意的时候记得谁陪你走过低谷，失意的时候也不轻易背叛自己的原则。 人这一生，会遇到太多现实的考验。 逆风的时候，有人劝你认命； 诱惑面前，有人告诉你灵活一点； 利益面前，有人笑你坚持原则太傻。 可如果每一次现实的压力，都能让你改变一点底线，最后你可能确实赢得了很多东西，却把自己弄丢了。 我们每天都在批判别人，也每天都在自我批判。 因为人永远会犯错，认知会有盲区，判断会有失误。 就像交易一样，我可以判断错行情，可以看错趋势，可以在错误的位置开仓，也可以因为认知不足而亏钱。 但我不能因为一次亏损，就怀疑自己的原则； 不能因为一次成功，就膨胀到以为自己掌握了真理。 行情允许你错，市场也允许你输。 真正需要坚守的，是你面对错误时有没有勇气承认，面对诱惑时有没有原则，面对利益时有没有义气，面对逆境时有没有志气。 交易最难的，从来不是预测未来。 人生也一样。 我们无法保证每一次选择都是对的，但至少可以决定，自己成为一个什么样的人。 方向可以修正，认知可以迭代，策略可以止损。 唯独价值观和原则，一旦丢了，就很难再捡回来。 所以，允许自己看错行情，允许自己走弯路，允许自己输几场。 但别轻易向现实低头。 人可以输一时，不能输掉志气； 可以害怕，但不能失去勇气； 可以贫穷，可以落魄，但不能忘了义气。 这可能就是我理解的： 人生可以不断修正，但有些东西，值得一辈子坚守。
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
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.
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Reading these numbers
A typical post picks up 65 interactions against 76K followers, an engagement rate of 0.085%. Measured over 31 original posts, its engagement rate beats 46% 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 18K times each, and 0.364% of those impressions turn into an interaction. That is about 23.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 31 posts sampled, 65% carry an image or video. The account's strongest tracked post pulled 13K interactions, about 199x its own typical post.
- What is 𝙃𝘼𝙕𝙀𝙉𝙇𝙀𝙀's engagement rate on X?
- 𝙃𝘼𝙕𝙀𝙉𝙇𝙀𝙀 (@hazenlee) has an engagement rate of 0.085%, based on the median interactions across 31 original posts from the last 30 days against 76,459 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.085%, 𝙃𝘼𝙕𝙀𝙉𝙇𝙀𝙀 sits above the 25th percentile of the 205,152 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 @hazenlee have real engagement?
- Its engagement rate beats 46% 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 @hazenlee post?
- Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 2.17 posts per day across the measured window.