2026-06-19 Sexta

Notícias de cripto - Página 480

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

The Bitcoin Inheritance Challenge: How to Help Your Family Recover Your Assets?

Self-custody of Bitcoin fundamentally changes estate planning. A robust inheritance plan must protect assets during the owner’s lifetime while ensuring designated individuals can recover them after death. Bitcoin’s key advantage—bypassing banks and custodians—also complicates inheritance, as the network only recognizes cryptographic keys, not legal documents. Key challenges include balancing security and accessibility, managing technical complexity for non-expert heirs, preserving privacy, and ensuring long-term viability. Common solutions include: 1. Custodial Inheritance: Relies on exchanges or institutions, sacrificing self-custody benefits for familiar legal processes. 2. DIY Inheritance: Ranges from simple seed-phrase handovers to complex multisig setups. High autonomy but requires technical competence from heirs. 3. Assisted Custody: Uses a service provider for multisig setup and recovery guidance, improving usability but depending on the provider’s longevity. 4. On-Chain Collaborative Inheritance: Combines assisted recovery with on-chain fallbacks (e.g., timelocks), ensuring access even if the provider fails. The strongest plans integrate a smooth, guided recovery path with a durable on-chain backup. Regular testing and updates are crucial. Inheritance isn’t just a technical issue—it must align with legal frameworks and family circumstances. Ultimately, a well-designed Bitcoin inheritance plan ensures assets remain secure, private, and recoverable for generations.

比推03/18 12:38

The Bitcoin Inheritance Challenge: How to Help Your Family Recover Your Assets?

比推03/18 12:38

Using AI for Weather Prediction: Earn $200 a Day While Doing Nothing?

Using AI for Weather Prediction: Can You Really Earn $200 a Day? This article explores how to leverage AI and data analysis to profit from weather prediction markets like Polymarket, focusing on Shanghai’s temperature forecasts. The system relies on Shanghai Pudong Airport (ZSPD) weather station data, sourced via Wunderground, rather than general city forecasts. Key insights include: - Temperature data is reported in whole Fahrenheit values in METAR format, not Celsius, affecting precision. - Historical data shows daily high temperatures most frequently occur between 11:00-13:00, peaking at 12:00 in summer (27.6% of days). Three effective prediction methods were implemented: 1. **Integrated Forecasting**: Combines Weather Company (WC) and ECMWF model data, weighted by weather conditions (e.g., sunny days favor WC). 2. **Real-Time Correction**: Uses morning temperature rise data and historical patterns to extrapolate the daily high, adjusted for cloud cover and wind. A Kalman filter dynamically weights real-time data vs. forecasts. 3. **Temperature Trend Model**: Predicts whether the day will be warmer/cooler than the previous day using pre-dawn data (pressure changes, wind, cloud cover, recent trends). It performs best in winter (clear signals) but poorly in autumn (63.7% accuracy). Two failed methods—Fourier analysis (systematic underestimation) and ERA5 peak-time prediction (insufficient precision)—were discarded. Case studies demonstrate the system identifying mispriced market opportunities, such as recognizing nighttime warming from moist air during rainfall, when public sentiment lagged. Limitations include autumn inaccuracy, lack of real-time pressure data, and unresolved coastal wind effects. Ultimately, the goal isn’t perfect accuracy but leveraging informational edges when odds are favorable.

marsbit03/18 12:18

Using AI for Weather Prediction: Earn $200 a Day While Doing Nothing?

marsbit03/18 12:18

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