#Giovanni Santostasi

[bitcoinversus]

Bitcoin Power Law Suggests Bitcoin Price will reach 100k by Jan 2025

The Bitcoin Power Law model is a form of quantitative analysis that applies to math predict Bitcoin’s long-term price trends. Jan 1, 2025 Power Law Prediction: Bull Case Price: $378,000 Expected price: $100,000 Bear Case Price: $35,000 #BTC $BTC

The Bitcoin Power Law model is primarily a form of quantitative analysis, applying mathematical principles to predict Bitcoin’s long-term price trends. It uses logarithmic transformations and regression analysis to define support and resistance levels, offering a structured approach to forecasting. While it overlaps with technical analysis, the model’s foundation in physics-based principles…

[sfujioka1]

2024.09.07(1)ビットコインが本質的に予測可能な理由 Why Bitcoin is Inherently Predictable  テーマ：英語のお勉強日記(7988)カテゴリ：ビットコイン​Why Bitcoin is Inherently Predictableビットコインが本質的に予測可能な理由​Giovanni Santostasiジョバンニ・サン

[scarletnews]

Power Law predicts Bitcoin block rewards to hit $5.5m

Bitcoin block rewards will likely evolve significantly over the coming decade, driven by substantial shifts in Bitcoin prices and fee changes. One popular model for projecting future prices is the Power Law, coined by Giovanni Santostasi. Based on this model, CryptoSlate has calculated the Bitcoin block reward over the next ten years.The Power Law Model predicts Bitcoin trading within a set…

[bitcoincables]

The Bitcoin Power Law: A Mathematical Approach to Predicting Bitcoin's Price

A recent article discussed the Bitcoin Power Law, a predictive model developed by Giovanni Santostasi to forecast the price of Bitcoin. The model is based on mathematical and scientific principles and aims to map out Bitcoin's price trajectory. Santostasi, a former physics professor, uses a power law concept, which is a mathematical relationship where one quantity is proportional to a fixed power of another. He applies this concept to Bitcoin's pricing, suggesting a pattern of predictable growth over time.

The core formula of the Bitcoin Power Law is expressed as Estimated Price = A * (days from GB)^n. In this formula, "GB" represents the Genesis Block of Bitcoin, "A" is a constant (10^-17), and "n" is 5.8. According to the model, Bitcoin is predicted to reach a cycle peak of $210,000 in January 2026, with a subsequent low of $60,000 later in the year. It also forecasts a minimum short-term price of $35,000 and projects a long-term price of $1 million by 2033.

While the Bitcoin Power Law offers an interesting perspective on Bitcoin's potential growth, it's important to approach these predictions with caution. Financial markets are inherently unpredictable, and past data cannot guarantee future outcomes. Critics argue that models like the Bitcoin Power Law can create unrealistic expectations for investors. It is important to consider price predictions as just one factor among many when making investment decisions and maintain a critical eye on the assumptions and limitations of such models.

To read the original article, visit https://decrypt.co/resources/the-bitcoin-power-law-a-mathematical-approach-to-predicting-bitcoins-price.

hashtags: #bitcoin, #predictivemodel, #financialmarket, #cryptocurrency

[bharatiyamedia-blog]

Pink noise boosts deep sleep in gentle cognitive impairment sufferers

http://tinyurl.com/y2brvpru Delicate cognitive impairment is commonly precursor to Alzheimer’s illness The larger the deep sleep enhancement, the higher the reminiscence response Enhancing deep sleep finally may very well be a viable remedy in folks with gentle cognitive impairment ‘This know-how might be tailored for dwelling use as a possible therapy’ Deep sleep is crucial for reminiscence consolidation CHICAGO — Mild sound stimulation performed throughout particular occasions throughout deep sleep enhanced deep or slow-wave sleep for folks with gentle cognitive impairment, who’re in danger for Alzheimer’s illness. The people whose brains responded essentially the most robustly to the sound stimulation confirmed an improved reminiscence response the next day. “Our findings counsel slow-wave or deep sleep is a viable and doubtlessly essential therapeutic goal in folks with gentle cognitive impairment,” mentioned Dr. Roneil Malkani, assistant professor of neurology at Northwestern College Feinberg College of Drugs and a Northwestern Drugs sleep medication doctor. “The outcomes deepen our understanding of the significance of sleep in reminiscence, even when there may be reminiscence loss.” Deep sleep is crucial for reminiscence consolidation. A number of sleep disturbances have been noticed in folks with gentle cognitive impairment. Probably the most pronounced adjustments embody lowered period of time spent within the deepest stage of sleep. “There’s a nice must determine new targets for therapy of gentle cognitive impairment and Alzheimer’s illness,” Malkani added. Northwestern scientists had beforehand proven that sound stimulation improved reminiscence in older adults in a 2017 examine. As a result of the brand new examine was small — 9 contributors — and a few people responded extra robustly than others, the development in reminiscence was not thought-about statistically important. Nonetheless, there was a big relationship between the enhancement of deep sleep by sound and reminiscence: the larger the deep sleep enhancement, the higher the reminiscence response.  “These outcomes counsel that enhancing sleep is a promising novel strategy to stave off dementia,” Malkani mentioned. The paper will likely be revealed June 28 within the Annals of Scientific and Translational Neurology. For the examine, Northwestern scientists carried out a trial of sound stimulation in a single day in folks with gentle cognitive impairment. Individuals spent one evening within the sleep laboratory and one other evening there about one week later. Every participant obtained sounds on one of many nights and no sounds on the opposite. The order of which evening had sounds or no sounds was randomly assigned.  Individuals did reminiscence testing the evening earlier than and once more within the morning. Scientists then in contrast the distinction in slow-wave sleep with sound stimulation and with out sounds, and the change in reminiscence throughout each nights for every participant. The contributors have been examined on their recall of 44 phrase pairs. The people who had 20% or extra improve of their gradual wave exercise after the sound stimulation recalled about two extra phrases within the reminiscence take a look at the following morning. One individual with a 40% improve in gradual wave exercise remembered 9 extra phrases. The sound stimulation consisted of quick pulses of pink noise, just like white noise however deeper, throughout the gradual waves. The system monitored the participant’s mind exercise. When the individual was asleep and gradual mind waves have been seen, the system delivered the sounds. If the affected person wakened, the sounds stopped taking part in. “As a possible therapy, this may be one thing folks might do each evening,” Malkani mentioned. The following step, when funding is on the market, is to guage pink noise stimulation in a bigger pattern of individuals with gentle cognitive impairment over a number of nights to substantiate reminiscence enhancement and see how lengthy the impact lasts, Malkani mentioned.   ### Different Northwestern authors embody first creator Nelly Papalambros, Sandra Weintraub, Tammy Chen, Daniela Grimaldi, Giovanni Santostasi, Ken Paller and Dr. Phyllis Zee. The examine was funded by the Alzheimer’s Affiliation, the Illinois Division of Public Well being, the Nationwide Institute on Growing older (grants P01AG011412 and P30AG013854), the Nationwide Institutes of Well being (T32NS047987), the Nationwide Science Basis and Northwestern College Middle for Circadian and Sleep Drugs. Extra Information at Northwestern Now Discover specialists on our School Specialists Hub Comply with @NUSources for professional views Disclaimer: AAAS and EurekAlert! will not be answerable for the accuracy of stories releases posted to EurekAlert! by contributing establishments or for the usage of any info by the EurekAlert system. Source link