Elon Musk # tweets in November 2026?

According to the latest prediction market data for the query “Elon Musk # tweets in November 2026?”, traders have formed a strong consensus.

Currently, 1000+ is dominating the market with an overwhelming 78.5% chance of winning. 960-999 follows in second place at 4.5%, while 880-919 sits in third with 4%. The betting volume for this specific market has already reached $81.7K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• 1000+ (78.5%): Currently commanding the highest probability, 1000+ is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 79¢, signaling a high degree of market conviction. This contract alone has generated $37.7K in volume.

🥈 Tier 2: The Primary Challengers

• 960-999 (4.5%): Positioned as the most viable alternative, 960-999 maintains a 4.5% chance of resolving true. Its “Buy Yes” shares currently trade at 5¢.
• 880-919 (4%): Sitting in third place with a 4% probability, the market shows measured skepticism toward 880-919, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~13%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes 920-959 (3.9%), 840-879 (2.5%), and 800-839 (1.6%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like 760-779 are still attracting notable interest.

This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X during the month of November 2026.

For the purposes of this market, only main feed posts, quote posts and reposts will count.

Replies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.

Deleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).

Community reposts which are not counted by the tracker not count toward the total.

The resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking "Export Data". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome 1000+ currently trades at 78.5%, but our AI places its Fair Value at just 74.7%. This creates a large negative EV Gap of -3.8%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies 120-139 as the premium value opportunity on the board. While the market only assigns it a 0.1% trading probability, our AI’s Fair Value assessment sits at 1% — yielding an impressive +1% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include 140-159 (EV Gap: +1%) and 160-179 (EV Gap: +1%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.