Arbitrage Plan: Buy Yes on all options (Full coverage arbitrage) Plan Description: The sum of all Yes prices is currently ~98.6 cents (0.795+0.155+0.0225+0.0095+0.004), below the guar...

As of March 24, 2026, with only 7 days until settlement on March 31, the status quo heavily favors t...

The core risk lies in defining the 'general tariff rate.' While the rules attempt to clarify with an example (e.g., 10% universal + 10% China-specific = 20%), trade policy is notoriously nuanced. Ambiguities may arise if tariffs are broad but not strictly 'universal' (e.g., covering only certain sectors) or if tiered structures under Section 301 are used. The exclusion of 'item specific exceptions' could be contentious if a tariff covers the vast majority of goods but technically has exemptions, making the 'general' rate debatable.

Tariff policy is a major macroeconomic variable. If the tariff rate resolves significantly higher or lower than expected (e.g., a sudden implementation of 35%+), it will directly impact US companies reliant on Chinese supply chains (e.g., Apple) and Chinese export-oriented firms (e.g., PDD, Alibaba). The DXY typically fluctuates due to inflationary expectations and safe-haven flows associated with tariffs, while the S&P 500 would likely react to trade war fears. This is a classic high-correlation macro event.

Mar 23, 2026 - Mar 24, 2026, the price of '5–15%' dropped from 91c to 79c, while '15–25%' rose from 5.5c to 16c, as the market pulled back from overconfidence to hedge the tail risk that Trump might fulfill his month-old threat to raise the rate to 15% in the final week. Mar 22, 2026 - Mar 23, 2026, the price of '5–15%' briefly surged from 78.5c to 91c, indicating a temporary moment of high conviction that the status quo would hold.

Arbitrage Plan: Buy Option_'No' Plan Description: While direct arbitrage (Yes+No<100) is absent, 'No' at 99.2c offers a low-risk yield against its vir...

With only 7 days remaining until March 31, the probability of 'Yes' has effectively reached zero due...

This is a market derived from specific socio-political news, focusing on the career fate of a specific law enforcement officer. While not completely absurd (it's a current event topic), it is highly niche and specific, differing from broad election or economic indicator markets, giving it a moderate level of novelty.

1. **Current Count & Velocity**: Based on XTracker data (328 tweets from Mar 17-24, avg ~47/day) and...

While the rules explicitly name Polymarket's xtracker as the source, the distinction between 'main feed replies' and standard replies can be fuzzy in technical scraping. Additionally, Musk's posting habits are volatile, and the deleted post window (~5 mins to be captured) introduces technical uncertainty. Relying on X as a secondary source if the tracker fails could lead to disputes over counting methodology, particularly regarding replies.

This is a classic 'Novelty' market. Predicting the specific monthly tweet count of an individual is not within the realm of mainstream financial or political analysis. It relies entirely on personal behavioral unpredictability, and while common on Polymarket, it is fringe for the general public.

Mar 22, 2026 - Mar 23, 2026, the price of '1400+' surged further from 54.1c to 66.0c, driven by the 'Terafab' chip factory announcement which triggered a massive tweet storm (some counts citing >80/day), forcing the market to drastically upgrade its output expectations for the final week. Mar 21, 2026 - Mar 22, 2026, the price of '1400+' rebounded from 42.2c to 54.1c, as the market confirmed Musk did not enter a 'quiet period' after Friday but instead initiated a new hype cycle, erasing previous fears of a weekend slowdown.

While simulated news from March 2026 suggests a potential resurgence of US-Iran conflict, escalating...

A resolution of 'Yes' (successful strike) confirms elevated risk in the Red Sea, forcing continued diversions around the Cape of Good Hope. This typically spikes freight rates (benefiting shipping stocks like ZIM) and adds a risk premium to Crude Oil prices due to supply chain fears. While a single strike isn't a structural shock, it generates tradable volatility in energy and logistics sectors.

The market pricing (43%) appears to be pricing in the risk of a full-blown conflict flare-up, whereas recent on-the-ground reporting (as of March 10, 2026) indicates no successful attacks have occurred and references a prior ceasefire. Market sentiment is more hawkish than the actual base rate of successful strikes.

The context is set in March 2026 during the hypothetical 'Operation Lion's Roar' (Joint US-Israel at...

There is a significant rule trap. While the premise seems simple, the definition of 'Iranian forces' is strict, explicitly excluding proxies (Houthis, Hezbollah), which contradicts common media narratives that often conflate proxy attacks with Iran. Additionally, the strike must successfully impact or seize the vessel; intercepted attacks do not count, significantly lowering the probability of 'Yes'. The requirement for explicit claims or territorial origin confirmation sets a high evidentiary bar.

This is a moderately exotic market. While Middle East geopolitics is a common topic, predicting a direct kinetic strike by Iran (not proxies) on a specific commercial vessel on a specific date is a highly specific 'tail risk' prediction. It moves beyond mainstream discourse into the realm of specialized intelligence forecasting.

If Iran were to directly attack commercial shipping (bypassing proxies), it would represent a major escalation in conflict, likely causing a spike in Crude Oil prices (supply disruption fears) and Gold (safe-haven demand). While currently a specific event prediction, any confirmed direct action would immediately trigger market fears regarding the closure of the Strait of Hormuz, giving this high hedging value.

Market prices imply a ~40-50% daily probability of direct Iranian attacks on shipping, which sharply diverges from strategic war logic (military assets prioritize defense or military targets, not daily commercial raids) and historical baselines. The divergence is driven by illiquidity.