Polymarket Tweet Markets: Over $1M Wagered on Whether Elon Musk Posts 140-159 Times This Week

There is now more than $1 million riding on whether Elon Musk publishes between 140 and 159 posts on X between July 17 and July 24. The market currently prices that outcome at 38%. A separate market on his total post count for the entire month of July — the bracket 640-679 — has attracted $850,000 in volume with a 23% probability. Across every active Elon Musk tweet count market running simultaneously on Polymarket, the aggregate liquidity exceeds $2.8 million. This is not a novelty corner of the platform. It is a category in rapid growth.

Polymarket Tweet Markets are exactly what the name suggests: prediction markets built around the social media posting behaviour of public figures. You buy shares in a specific numerical range, and those shares pay $1 if the person's post count lands inside your bracket when the market settles. They are live for Musk, Donald Trump on Truth Social, Volodymyr Zelenskyy, Changpeng Zhao (CZ), Iran's Supreme Leader Khamenei, the White House account, and New York City's mayor. Each figure gets multiple overlapping weekly windows, and Polymarket runs them continuously. Here is everything you need to know about how they work, what the current odds are actually saying, and whether there is a genuine edge for retail traders.

What Tweet Markets Actually Bet On

The mechanism is simpler than it sounds. Each Tweet Market asks: will this person's qualifying post count for the specified period fall within range X? Markets are structured as a set of mutually exclusive brackets — for example, Elon Musk's July 17-24 period has separate markets for the 100-119 range, the 120-139 range, the 140-159 range (the most liquid), the 160-179 range, and so on. You buy YES on the bracket you believe will win, and NO on any bracket you believe will lose. If the count ends up at 155 and you hold YES on 140-159, your shares resolve at $1 each. If it ends at 161, they expire worthless.

The critical definitions for resolution: main feed posts count. Quote posts count. Reposts count. Replies do not count — except for replies that appear on the main feed rather than buried in a thread. This distinction is consequential for Musk specifically, who posts a large volume of direct replies to other users. Strip out those replies and his "countable" output is significantly lower than his raw posting volume suggests. The implication for traders: Musk's post count as tracked by xtracker will consistently read lower than his total X activity.

The Elon Musk Market Ecosystem

Musk dominates Polymarket's tweet-tracking category by volume. The July 17-24 weekly market alone accounts for $1 million in traded contracts, making it one of the largest single-week prediction markets of any kind currently active on the platform outside of major geopolitical events. But it is just one of six simultaneous Musk tweet-count markets open right now.

The aggregate across all active Elon tweet count markets is approximately $2.86 million. For context: the recently-resolved Polymarket World Cup tournament winner market processed $4.28 billion. The tweet markets are smaller in absolute terms but enormous for a category that did not exist in this form two years ago.

Reading What the Odds Actually Mean

The July 17-24 range market at 38% for 140-159 posts is not saying "38% chance Musk posts fewer than 140 times." It is saying: among all the possible brackets the market tracks for that period, the 140-159 window is considered the most likely single outcome at 38%. The probability distribution is spread across adjacent ranges — some volume sits in the 120-139 range, some in the 160-179 range. Collectively, the market is saying that Musk's countable post count (main feed + quotes + reposts, no replies) most commonly lands around 20-23 posts per day during a normal week.

The monthly total market is more revealing. The 640-679 bracket at 23% for all of July implies the market's modal expectation is roughly 21-22 qualifying posts per day across a 30-day month. That is consistent with the weekly markets. But notice the July 24-31 market is priced at only 17% for the 180-199 range — a relatively high bracket — suggesting traders expect a somewhat quieter week ahead, possibly anticipating travel, Tesla obligations, or other known patterns in Musk's posting behaviour.

The topic market is the cleanest signal. "What will Elon post this week?" with Tesla at 91% is essentially a lock. Musk has not gone a week without posting about Tesla, SpaceX, or his companies since returning to full-time social media activity in 2022. This market is more useful as a calibration check than an alpha opportunity — anyone pricing that at less than 90% is clearly not following the account.

The "Hyperliquid" Market — $44K on a Single Word

One market in this category breaks from the count-based structure entirely: "Will Elon Musk tweet the word 'Hyperliquid' by December 31, 2026?" priced at 15% YES with $44,400 in volume. Hyperliquid is a decentralised perpetuals exchange that has attracted significant attention in crypto circles and has become something of a cultural touchstone for on-chain DeFi traders. Musk has a documented pattern of crypto-related posting that sends markets swinging — Dogecoin being the canonical example — and the market is essentially pricing the probability that Hyperliquid crosses his radar and ends up in a tweet before year-end.

At 15%, the market is saying this is unlikely but not negligible. Musk follows crypto developments closely, and Hyperliquid's on-chain volume metrics have made it one of the most-discussed exchanges in the space during mid-2026. If a major crypto event triggers Musk to reference DeFi infrastructure specifically, Hyperliquid is the platform most likely to be named. Whether that is worth trading at 15% depends entirely on your view of Musk's unpredictability as a social media figure — which is, by any measure, very high.

Political and Global Figures: The Other Tweet Markets

Beyond Musk, Polymarket runs equivalent markets on some of the world's most-watched social media accounts. The data reveals meaningful differences in posting behaviour across figures.

Several patterns emerge immediately. CZ at 89% for 20-39 posts in a week is as close to a lock as prediction markets produce — the market is essentially saying his output is highly predictable in this band. Compare that to his July 21-28 market at 49% for fewer than 20 posts: the two markets tell a coherent story of a founder who posts lightly but consistently, typically 20-39 times per week with a meaningful probability of an even quieter week ahead.

Zelenskyy at 48% for 80-99 posts is remarkable for a different reason: the Ukrainian president is running a war-time communications operation from his social media accounts, and the market is pricing his output at roughly 11-14 qualifying posts per day. His posting rate has remained consistent enough across weeks that $9,600 has moved into this market with relatively high conviction. A ceasefire, diplomatic visit, or major battlefield development would likely break the pattern — which is precisely where edge lives for a trader who follows his account closely.

The Trump Truth Social markets reveal an interesting temporal pattern. July 17-24 at 42% for 120-139 posts suggests a pace of roughly 18 posts per day. But by July 24-31, the same market is only pricing 80-99 posts at 21% — a range implying just 11-14 posts per day. Traders are forecasting a meaningful deceleration in Trump's Truth Social activity going into the last week of July. Whether that reflects scheduled travel, political calendar patterns, or something more specific is unclear from the market alone, but the signal is directionally meaningful.

Khamenei at 54% for 5-9 posts in a week tells a different story entirely. The Iranian Supreme Leader's official X account posts so sparingly that a single week's output fits inside a five-count range with better than coin-flip confidence. These markets are priced more like geopolitical signals than social media analytics: when the Khamenei account goes quiet, it tends to do so in the context of specific domestic or regional developments that sophisticated traders track anyway.

How Polymarket Resolves Tweet Markets

The resolution infrastructure matters more for this category than almost any other on Polymarket. Price movements in the days before settlement can be significant if the current tracker count is public and approaching a bracket boundary. The primary resolution source is xtracker.polymarket.com — a dedicated tracker built specifically for this purpose. It maintains a running live count throughout the market period and fixes a final number at 16:00 UTC on the closing date.

If xtracker fails — for any reason including X's own API rate-limiting or technical outages — the fallback resolution source is X itself. This introduces a specific ambiguity: X's native interface may count interactions differently from xtracker, particularly around what constitutes a "reply on the main feed." Traders in positions close to a bracket boundary on settlement day should be aware of this risk: a tracker failure does not automatically resolve in your favour, and the secondary source may produce a different count.

The resolution rules also do not account for deleted posts. If Musk tweets 160 times and later deletes 15 of them, it is unclear whether xtracker captures the count at time-of-post or time-of-settlement. Checking the specific market's rules tab on Polymarket is essential before entering any position larger than you would treat as a novelty trade.

Why Tweet Markets Are Growing — And Where the Edge Might Actually Be

The growth of tweet-count markets reflects a broader shift in how prediction market platforms are sourcing trading volume. Traditional binary markets — will event X happen by date Y — have a ceiling on the number of markets you can run per day. Tweet count markets are infinitely renewable: every week produces a new Elon market, a new Trump market, a new Zelenskyy market. The pipeline is perpetual, and so is the volume.

For retail traders, the obvious question is whether any of this is winnable. The high-liquidity Elon markets are the hardest: $1M in a single weekly market means sophisticated volume has already entered, and the odds reflect a lot of collective information. The 38% price on 140-159 is not obviously mispriced. But the lower-volume political markets — particularly Zelenskyy and Khamenei — carry more potential for a retail edge if you are tracking those accounts closely. The $9,600 Zelenskyy market is small enough that a trader with genuine daily-rate insight could influence prices before the crowd catches up.

The topic markets, as noted, are the cleanest: Elon tweeting about Tesla is 91% for a reason, and trading that to 95% if it ever slips is a low-variance positive-expectation play. The Hyperliquid market is the opposite: pure optionality on an unpredictable man's unpredictable vocabulary. Both serve a purpose, and both can be traded rationally. What they cannot be is ignored — Polymarket's tweet category is now liquid enough to matter.

How to Find and Trade Tweet Markets on Polymarket

Tweet Markets live under two URL paths on Polymarket: /predictions/tweet for the consolidated view and /pop-culture/tweets-markets for the category browser. From either page, markets are sorted by volume by default, which means the most liquid Elon weekly market appears first.

Before placing any trade, go to the market's individual page and read the Rules tab carefully. The bracket matters precisely: a count of 160 when you hold YES on 140-159 is a complete loss, not a partial credit. Then check xtracker.polymarket.com to see the current running count and estimate how many qualifying posts per day the account would need to reach your bracket from where they are now. If you are entering on day 5 of a 7-day market and the count is already at 125 with your bracket at 140-159, simple arithmetic tells you whether the pace supports your position.

Maximum position size on these markets is constrained by available liquidity, and some of the political markets (particularly Khamenei, Trump week-3) have thin order books. You can move prices meaningfully in a $10,000 market by entering a $2,000 position. That cuts both ways: it is an opportunity to build a position before the market fully prices in information you have, and a risk that you are absorbing adverse selection from the existing book.

Frequently Asked Questions

What are Polymarket Tweet Markets?

Prediction markets on Polymarket that let you bet on how many times a specific public figure — Elon Musk, Trump, Zelenskyy, CZ, and others — posts on their primary social platform within a specified date window. Markets are structured as range brackets (e.g., 140-159 posts). YES shares pay $1 if the final count lands in the bracket; NO shares pay $1 if it does not.

How are Polymarket tweet count markets resolved?

Resolution uses xtracker.polymarket.com as the primary source, settling at 16:00 UTC on the closing date. If the tracker is unavailable, X itself becomes the fallback. The tracker maintains a live running count throughout the market period, which is publicly visible.

What counts as a tweet in Polymarket tweet markets?

Main feed posts, quote posts, and reposts count. Replies do not count, except replies that appear on the main feed. This means Musk's actual countable output is lower than his total activity suggests — a critical detail for anyone pricing these markets based on raw observation.

Where can I track Elon Musk's current count for an active market?

Check xtracker.polymarket.com — this is the official tracker used for resolution and shows the live running count for all active periods. It updates throughout the day and is the only number that matters for settlement.

Can you bet on what Elon Musk will tweet about?

Yes. Alongside count markets, Polymarket runs topic markets such as "What will Elon post this week?" (currently: Tesla at 91%) and long-term keyword markets like "Will Elon tweet 'Hyperliquid' by December 31, 2026?" (currently: 15% YES, $44,400 volume). These require a different type of analysis than count markets — subject-matter familiarity rather than pacing statistics.