Abstract
The 98th Academy Awards ceremony is set for March 15, 2026, and prediction markets on Polymarket are offering insights into potential winners. With over $29 million in total trading volume, the markets indicate "One Battle After Another" is the frontrunner for Best Picture with a 76% probability, followed by "Sinners" at 20%. Analysis of major bettors shows one address holding a significant "YES" position on this outcome with an 89.7% win rate.
In the Best Actor category, Michael B. Jordan leads with a 57% chance, overtaking Timothée Chalamet (34%), who was the favorite until recently. Key addresses show mixed strategies, with one top bettor on Jordan having a negative historical profit.
The Best Director and Best Actress categories appear to be near-certainties. Paul Thomas Anderson holds a 94% probability for Best Director, and Jessie Buckley has a 97% chance for Best Actress, making them potential "sure bets" or "arbitrage plays."
Other notable categories include Best Supporting Actress, where Amy Madigan leads at 52%, and Best Supporting Actor, where Sean Penn is the favorite at 73%. "One Battle After Another" also leads Best Cinematography (73%), and "Sinners" is the overwhelming favorite for Best Original Screenplay (96%). The data provides a unique, market-driven perspective on the upcoming Oscars.
Author | Asher(@Asher_ 0210)
The 98th Academy Awards ceremony will be held on March 15, 2026. As the awards night approaches, discussions about "who will win" are heating up rapidly.
Beyond predictions from traditional media, film critics, and fans, crypto prediction markets are also providing their own answers. So, in the eyes of prediction market participants, who is most likely to take home the major awards at this year's Oscars?
Next, Odaily Planet Daily will break down the win probability for each award based on the latest market data from Polymarket. At the same time, we will analyze the betting situations of the top addresses holding positions in related events to find potential trading opportunities.
Best Picture Award: "One Battle After Another" Leads Temporarily with 76% Real-Time Odds
Polymarket Corresponding Event: Oscars 2026: Best Picture Winner, trading volume exceeding $29 million;
Link: https://polymarket.com/event/oscars-2026-best-picture-winner.
Currently, for the Best Picture award, "One Battle After Another" leads temporarily with a 75% real-time probability, while "Sinners" ranks second with a 20% probability.
Holding Address Analysis
Top YES Holding Address for "One Battle After Another": 0x2a019dc0089ea8c6edbbafc8a7cc9ba77b4b6397, this address has a high win rate of 89.7%, with an average YES purchase price for "One Battle After Another" at 54.8 cents.
Address Holding ONLY the "One Battle After Another" Single Event: 0x8f49c70ce8e353c0531d39f5448f0ba5f561bf8d, this address bought nearly 10,000 YES shares at an average price of 74 cents 5 days ago and currently holds only the single event for "One Battle After Another" winning Best Picture.
Best Actor Award: Michael B. Jordan Leads Temporarily with 57% Real-Time Odds
Polymarket Corresponding Event: Oscars 2026: Best Actor Winner, trading volume nearly $7 million;
Link: https://polymarket.com/event/oscars-2026-best-actor-winner.
Currently, for the Best Actor award, Michael B. Jordan leads temporarily with a 57% real-time probability, while Timothée Chalamet ranks second with a 34% probability.
It is worth mentioning that before the 7th of this month, Timothée Chalamet's probability of winning had consistently been in first place, once reaching as high as 80%.
Holding Address Analysis
Top YES Holding Address for Michael B. Jordan: 0x4cc25002e1b5d09c1dab0d26dbe2333648829271, this address has a win rate of only 48%, with a historical P&L of negative $200,000.
Top NO Holding Address for Michael B. Jordan: 0xafbacaeeda63f31202759eff7f8126e49adfe61b, this address has a win rate of 53%, with a historical P&L of $172,000.
Top YES Holding Address for Timothée Chalamet: 0x4cc25002e1b5d09c1dab0d26dbe2333648829271, which is also the top YES holding address for Michael B. Jordan, indicating this address is betting on either Michael B. Jordan or Timothée Chalamet winning Best Actor.
Top NO Holding Address for Timothée Chalamet: 0x9d84ce0306f8551e02efef1680475fc0f1dc1344, this address has a high win rate of 63%, with a historical P&L of $2.82 million.
Best Director Award: Paul Thomas Anderson Leads Temporarily with 91% Real-Time Odds
Polymarket Corresponding Event: Oscars 2026: Best Director Winner, trading volume nearly $5 million;
Link: https://polymarket.com/event/oscars-2026-best-director-winner.
Currently, for the Best Director award, Paul Thomas Anderson leads temporarily with a 94% real-time probability. Judging by the probability, this award seems almost certain, potentially a "sure bet".
Holding Address Analysis
Top YES Holding Address for Paul Thomas Anderson: 0x998154d8eb4ba7c4b34b10d76b9742d922d7dec4, this address has a high win rate of 83.6%, with an average YES purchase price for Paul Thomas Anderson at 93 cents.
Best Actress Award: Jessie Buckley Leads Temporarily with 97% Real-Time Odds
Polymarket Corresponding Event: Oscars 2026: Best Actress Winner, trading volume over $1.5 million;
Link: https://polymarket.com/event/oscars-2026-best-actress-winner.
Currently, for the Best Actress award, Jessie Buckley leads temporarily with a 97% real-time probability. Judging by the probability, this award also seems almost certain, potentially a "sure bet".
Other Popular Awards
Additionally, awards with high discussion热度 include:
一、Best Supporting Actress Award (Link: https://polymarket.com/event/oscars-2026-best-supporting-actress-winner), Amy Madigan leads temporarily with a 52% real-time probability; Teyana Taylor ranks second with a 26% probability; Wunmi Mosaku ranks third with a 21% probability.
二、Best Supporting Actor Award (Link: https://polymarket.com/event/oscars-2026-best-supporting-actor-winner), Sean Penn leads temporarily with a 73% real-time probability; Stellan Skarsgård ranks second with a 19% probability; Delroy Lindo ranks third with a 7% probability.
三、Best Cinematography Award (Link: https://polymarket.com/event/oscars-2026-best-cinematography-winner), "One Battle After Another" leads temporarily with a 73% real-time probability; "Sinners" ranks second with a 20% probability.
四、Best Original Screenplay Award (Link: https://polymarket.com/event/oscars-2026-best-original-screenplay-winner), "Sinners" leads temporarily with a 96% real-time probability, potentially a "sure bet".
Related Questions
QAccording to the Polymarket prediction data, which film is currently the frontrunner to win the Best Picture award at the 98th Academy Awards?
AAccording to the Polymarket prediction data, 'One Battle After Another' is the current frontrunner to win the Best Picture award with a 76% probability.
QWho is the current favorite to win the Best Actor award, and what was a significant recent shift in the odds for this category?
AMichael B. Jordan is the current favorite to win the Best Actor award with a 57% probability. A significant recent shift occurred when Timothée Chalamet, who was previously the frontrunner with an 80% probability, dropped to second place.
QWhich two categories are described as nearly having no suspense and being potential 'sure bets' or 'savings plans' based on their high probabilities?
AThe Best Director category, where Paul Thomas Anderson has a 91% probability, and the Best Actress category, where Jessie Buckley has a 97% probability, are described as having almost no suspense and being potential 'sure bets'.
QWhat is the address of the largest holder of 'YES' shares for 'One Battle After Another' winning Best Picture, and what is their historical win rate?
AThe address of the largest holder of 'YES' shares for 'One Battle After Another' is 0x2a019dc0089ea8c6edbbafc8a7cc9ba77b4b6397, and their historical win rate is 89.7%.
QIn the Best Supporting Actor category, who is the predicted winner and what is their probability?
AIn the Best Supporting Actor category, Sean Penn is the predicted winner with a 73% probability.
Related Reads
"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence
Anthropomorphic "Teletubby" robot offers cleaning services in San Francisco at $30/hour, but it's entirely remote-controlled.
The robot, created by startup Tau Robotics, can perform household tasks like washing hands, mopping floors, and taking out trash. While the initial demo videos appear impressive and are notably shown at normal speed (unlike many sped-up robot demos), the company reveals the actions are performed via human teleoperation, not autonomous AI.
Tau Robotics, founded in 2024, argues this "cheat" is a strategic way to bridge the current capability gap, ensure task completion, and collect real-world home data to eventually train autonomous systems. Their service features three robot models: Chelsea for kitchens/bathrooms, Elon for regular tidying with memory, and Tony for deep cleaning.
Priced at $30 per hour, it's cheaper than average human cleaners in the US. The article discusses the broader challenge of deploying humanoid robots in homes, comparing Tau's approach to others like China's Ziliang and the US's 1X Neo, which also use teleoperation. A key reason for choosing a humanoid form is to make remote control more intuitive for human operators. The piece also notes the potential "emotional value" of having a humanoid servant.
The service is currently invite-only in San Francisco.
marsbit9m ago

marsbit9m ago
From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI
AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction.
Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation.
Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung.
The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.
marsbit52m ago

marsbit52m ago
Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?
Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory.
Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses.
Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations.
Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029.
The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.
marsbit57m ago

marsbit57m ago
From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI
At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence."
Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators.
A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**.
Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.
marsbit57m ago

marsbit57m ago
Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2
A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.
cointelegraph1h ago
cointelegraph1h ago