# Сопутствующие статьи по теме Prediction

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

If We Gathered the Most Accurate Gold Forecasters in History, Could We Crack the Future Price of Gold?

The article investigates whether assembling the most historically accurate gold price forecasters could unlock future price movements. The author analyzes three groups: top Wall Street institutions (e.g., LBMA, Goldman Sachs, JPMorgan), prominent gold bulls (e.g., Peter Schiff, Jim Rickards), and analysts famed for precise calls (e.g., Nouriel Roubini, Ben McMillan). The findings reveal significant flaws. Institutions consistently exhibit "lagging predictions," adjusting forecasts too slowly and underestimating bull market magnitudes. Pundits perpetually predict extreme price targets (e.g., $35,000) without precise timing, often being early or wrong. Even "prophetic" forecasters have mixed records; Roubini missed the entire 2009-2012 bull market, and Ray Dalio has a history of erroneous crisis predictions. The analysis notes that the current environment mirrors 2011, where extreme predictions clustered near the market top. Today, forecasts from the same experts range wildly from $5,400 to $35,000. The conclusion is that no consistently accurate forecaster exists. Predictions are often right by chance, not skill. The author ultimately rejects seeking a "wealth password" and instead advocates for a Dalio-inspired approach: avoiding precise price predictions, acknowledging uncertainty, and using portfolio allocation (e.g., 5-15% in gold) for long-term risk management.

marsbit04/03 10:26

If We Gathered the Most Accurate Gold Forecasters in History, Could We Crack the Future Price of Gold?

marsbit04/03 10:26

2% of Users Contribute 90% of Trading Volume: The True Portrait of Polymarket

A deep analysis of Polymarket's user base reveals a stark concentration of trading activity: just 2% of users, classified as high-frequency, high-volume professional traders (P6), generate nearly 90% of the platform's total trading volume. This contrasts with the 69% of users who are low-activity, small-scale participants (P2), driven primarily by major events like elections or sports. The study, analyzing three months of on-chain data, segments users into seven profiles based on transaction frequency (T1-T7) and volume (V1-V7). While the user base is dominated by infrequent, small-scale bettors, the trading volume is overwhelmingly controlled by a small cohort of algorithmic and systematic traders. This structural split directly influences market dynamics. Cryptocurrency markets are dominated by P6 traders, indicating heavy algorithmic activity. Sports markets attract a more diverse mix, including seasoned human bettors. Political markets have the highest share of users but are filled with event-driven, one-time participants. The findings have critical implications for fee structures. Polymarket's current tiered fees—highest for crypto (1.80%), lower for sports (0.75%) and politics (1.00%), and zero for geopolitics—are strategically aligned with the tolerance of each user profile. A flat fee could severely damage liquidity by discouraging the vital P6 segment. The report concludes that platform growth strategies must be tailored to target specific user profiles: P6 for volume, P2 for user growth. It posits that Polymarket's future may lie at the intersection of crypto and AI, potentially becoming a mass-market platform for autonomous trading agents.

marsbit03/27 10:07

2% of Users Contribute 90% of Trading Volume: The True Portrait of Polymarket

marsbit03/27 10:07

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