# Сопутствующие статьи по теме Probability

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Probability", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

a16z Crypto's Latest Article: Why Do We Need Prediction Markets?

Prediction markets allow people to trade on the outcome of future events. They function as markets that aggregate dispersed information into a price signal, which represents the collective probability of an event occurring. By creating assets that pay out only if a specific outcome happens, these markets enable participants to bet based on their knowledge and beliefs. These markets have historical precedents, like 16th-century papal selection bets, and modern foundations in economics and market design. They offer advantages over traditional forecasting tools like polls: they provide direct probability estimates, update in real-time, and incentivize participants with real financial stakes to contribute accurate information. This can lead to more informed predictions, even for highly specific questions—such as which AI model performs best on certain tasks—that aren't covered by traditional commodity or stock markets. However, prediction markets face challenges. Infrastructure is needed to verify outcomes and ensure transparent, auditable operations. Market design must encourage participation from diverse, informed individuals while mitigating issues like insider trading or manipulation attempts aimed at distorting public perception. Despite these hurdles, with proper design focusing on transparency and participation management, prediction markets have significant potential as a core tool for forecasting the future.

marsbit2 дня назад 14:34

a16z Crypto's Latest Article: Why Do We Need Prediction Markets?

marsbit2 дня назад 14:34

Can You Make a Steady Profit by Blindly Following Polymarket's Pre-Game Win Probability to Bet on NBA Games?

**Can You Consistently Profit by Blindly Following Pre-Game Win Probabilities on Polymarket for NBA Games?** A backtest of the entire NBA 2025-26 regular season (1,096 games) was conducted to test the strategy of always betting $100 on the team with the higher pre-game win probability on Polymarket. The results show that this strategy is not profitable. The total amount wagered was $109,600, with a return of $107,545.20, resulting in a net loss of $2,054 and a Return on Investment (ROI) of -1.87%. This indicates that the market is highly efficient, and pre-game probabilities are accurately priced, leaving no simple arbitrage opportunity. In fact, blindly following the market would have been slightly less profitable than betting against it. However, a deeper analysis by team revealed significant differences. Certain teams consistently outperformed market expectations when they were favored to win: * Portland Trail Blazers (POR): 19% ROI * Philadelphia 76ers (PHI): 14% ROI * San Antonio Spurs (SAS): 12% ROI * Los Angeles Lakers (LAL): 11% ROI * Charlotte Hornets (CHA): 9% ROI In contrast, the market was highly efficient for the top-performing teams, offering minimal returns (e.g., Boston Celtics ROI: 4%, Denver Nuggets ROI: -5%). Results for the weakest teams were too inconsistent due to small sample sizes. The key finding is that team-specific factors, rather than the probability percentage itself, drive potential value, making a one-size-fits-all strategy ineffective.

Odaily星球日报04/17 06:58

Can You Make a Steady Profit by Blindly Following Polymarket's Pre-Game Win Probability to Bet on NBA Games?

Odaily星球日报04/17 06:58

Oscars Preview: Who Are the Big Players in Prediction Markets Betting On?

"Oscar Predictions 2026: Where Are the Prediction Market Whales Placing Their Bets?" As the 98th Academy Awards approach on March 15, 2026, the crypto prediction market Polymarket is offering its own forecasts on the winners, with significant trading volume indicating where large bettors, or "whales," are placing their capital. In the high-stakes Best Picture category, "One Battle After Another" is the current frontrunner with a 76% probability, followed by "Sinners" at 20%. Analysis of top wallets shows one address holds a substantial "YES" position on this outcome with an 89.7% win rate. The Best Actor race has seen a major shift; Timothée Chalamet was previously the favorite with an 80% probability, but Michael B. Jordan has now surged ahead to a 57% chance. Notably, the top wallet betting "YES" on Jordan has a negative historical profit, while a major "NO" bettor on Chalamet has profited over $2.82 million. Several categories appear to be near-certain "sure bets" or "savings plans." Paul Thomas Anderson is the overwhelming favorite for Best Director with a 91% probability. For Best Actress, Jessie Buckley leads with a 97% chance. "Sinners" also dominates Best Original Screenplay with a 96% probability. Other closely watched 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 in Best Cinematography with a 73% probability.

Odaily星球日报03/12 02:44

Oscars Preview: Who Are the Big Players in Prediction Markets Betting On?

Odaily星球日报03/12 02:44

High-Frequency Trading, $100K Annual Income: The Most 'Boring' Profit Myth on Polymarket

A user known as planktonXD (0x4ffe49ba2a4cae123536a8af4fda48faeb609f71) has generated over $106,000 in profit on Polymarket within a year by executing more than 61,000 predictions—averaging around 170 trades per day. This high-frequency, automated strategy focuses on exploiting small, certain opportunities rather than betting on high-risk, high-reward outcomes. The approach is characterized by market-making and micro-arbitrage: placing orders on both sides of the order book to capture spreads or profiting from mispriced options in low-liquidity markets. The largest single win was only $2,527, illustrating a disciplined, risk-managed method that avoids large drawdowns. The bot operates across diverse categories—sports, weather, crypto prices, politics—constantly scanning for pricing inefficiencies. Notable examples include buying heavily undervalued options in niche markets, such as esports matches or extreme crypto price movements, where probability is mispriced due to emotional trading or thin order books. For instance, a $16 bet on SOL falling to $130 (priced at 0.7¢, implying <1% chance) returned $1,574 during a volatile period. Key takeaways: The strategy highlights the power of compounding small gains, the necessity of automation and API tools, and the superiority of high-probability opportunities over high-risk bets. In prediction markets, the most advanced approach isn’t forecasting—it’s managing probability and liquidity.

marsbit02/11 13:06

High-Frequency Trading, $100K Annual Income: The Most 'Boring' Profit Myth on Polymarket

marsbit02/11 13:06

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