# 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.

Crypto Morning Brief: Prediction Market Kalshi Raises Over $1 Billion, Block Recalls Some Laid-Off Employees

Crypto & AI Daily Digest **Key Market Events:** - The Bank of Japan kept its benchmark interest rate unchanged at 0.75%, as expected. - US initial jobless claims for the week of March 14 came in at 205,000, lower than the forecast of 215,000. **Major Funding & M&A:** - Prediction market platform Kalshi raised over $1 billion in a new funding round, doubling its valuation to $22 billion. - OpenAI is acquiring startup Astral to expand its presence in the programming sector. - Animoca Brands announced a strategic investment in AVAX and a partnership with Ava Labs to develop the Avalanche ecosystem, focusing on Asia and the Middle East. **Corporate News:** - **Meta** experienced a significant AI Agent malfunction, leading to a two-hour leak of sensitive company and user data. - **Block** (formerly Square) has quietly recalled some of the employees it laid off in February, with CEO Jack Dorsey admitting the decision may have been a mistake. - **Crypto.com** is cutting approximately 12% of its workforce as part of a company-wide push to integrate enterprise-level AI tools. - **Gemini** has reduced its headcount by about 30% this year and reported an annual loss of approximately $585 million. **Token & Ecosystem Updates:** - The Perle Foundation unveiled the tokenomics for its PRL token, with 37.5% allocated to the community. - Perpetual DEX edgeX has launched a page for its EDGE token airdrop, with claims open until April 1st.

marsbit03/20 01:13

Crypto Morning Brief: Prediction Market Kalshi Raises Over $1 Billion, Block Recalls Some Laid-Off Employees

marsbit03/20 01:13

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

Now is the Best Time to Interact with Polymarket (Exclusive Tutorial Included)

Polymarket, a prediction market platform, is currently offering an exceptional opportunity for users to earn liquidity provider (LP) rewards, particularly due to a massive $2 million subsidy program for NCAA's "March Madness" basketball tournament events. The core strategy for effective interaction is to focus on accumulating these LP rewards instead of solely trading, as a significant majority of users have never received any. To qualify, users must provide liquidity on specific, subsidized events by placing orders within a maximum spread (e.g., ±1¢) and a minimum share amount (e.g., 1000 shares). Rewards are distributed daily, but only if they exceed $1. The article provides a step-by-step guide: First, select an event with high subsidies from the Rewards page, preferably one starting later to minimize price volatility and inventory risk. For example, a game starting days later showed almost no price movement. Next, use the Split function to create equal buy and sell shares from a minimum of $1000, then place limit sell orders on both sides. It's advised to place orders slightly away from the market price (e.g., the second position) to reduce the risk of orders being filled, which would require rebalancing. Users should monitor their positions and consider withdrawing orders about one day before the event starts to avoid last-minute volatility, then potentially move funds to a later event. The author reports earning $4.31 in rewards over a few hours with minimal effort, highlighting that the current high subsidies and low volatility make this a relatively low-risk strategy to enhance one's Polymarket activity profile.

Odaily星球日报03/18 09:49

Now is the Best Time to Interact with Polymarket (Exclusive Tutorial Included)

Odaily星球日报03/18 09:49

Kalshi Issues a $1 Billion Free Lottery Ticket, Remember to Scratch It

Kalshi, a prediction market platform, has announced a "Perfect Bracket Challenge" inspired by Warren Buffett, offering a $1 billion grand prize to any user who correctly predicts every game outcome in the upcoming NCAA "March Madness" basketball tournament. The tournament begins on March 18, featuring 68 college teams competing in a single-elimination format. "March Madness" is one of the most popular sporting events in the U.S., drawing widespread public engagement due to strong school allegiances. This year's tournament is especially notable as a strong NBA draft class, including top prospects like Cameron Boozer, is raising its profile. Prediction markets like Polymarket and Kalshi have launched related events. Polymarket currently lists Duke University as the favorite to win at 21%. Meanwhile, Kalshi’s free-to-enter contest also includes a $1 million consolation prize for the best bracket and an additional $1 million donation to charity if no one wins the grand prize. The odds of a perfect bracket are extremely low—often estimated at around 1 in 120 billion—since games are not purely random and upsets are common. Warren Buffett has run a similar challenge for his employees since 2014, with no one ever claiming the top prize. The announcement has sparked discussion online, with some suggesting the use of AI and automated systems to attempt mass entries. Despite the near-impossible odds, users are encouraged to submit their brackets for free.

Odaily星球日报03/17 04:19

Kalshi Issues a $1 Billion Free Lottery Ticket, Remember to Scratch It

Odaily星球日报03/17 04:19

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