It only took a few hours to wipe 152 billion of value from Tesla's market cap and more than 100 million in value from TrumpCoin. The end of the bromance between Elon Musk and President Donald Trump has been brewing for weeks, but on Thursday, the breakup went nuclear. Musk took to the platform he owns, X, to lambast Trump's "One Big Beautiful Bill," which includes provisions that restrict immigration, limit green energy subsidies, and is estimated to increase the US deficit by 2.4 trillion. Trump shot back on Truth Social, the platform he owns, to say that Musk was only against the bill because it would take away electric vehicle tax credits that Musk's company, Tesla, benefits from. It quickly devolved into dozens of posts, most of them from Musk, who claimed Trump is in the Epstein Files--which is, he claims, why they haven't been made public. Tesla's stock is now down roughly 14 percent at the time of writing, which is the biggest single-day hit to its market cap in years.

Nvidia has recorded the biggest daily jump in market value in the history of Wall Street. The California-based chip maker on Wednesday added 330bn to its market capitalisation – blasting past the previous record it set in February with a 277bn single-day gain. Shares of Nvidia soared nearly 13 percent, buoyed by expectations that demand for its chips will remain strong after Microsoft on Tuesday announced that AI-related capital spending in the 2024 fiscal year rose 60 percent to 69bn. Nvidia's latest stock rally takes its market cap to 2.88 trillion, making it the world's third-most valuable company after Apple and Microsoft. Nvidia, whose graphics processing units (GPUs) are integral to the development of AI, briefly became the world's most valuable company in June after knocking Microsoft off the top spot with a market cap of 3.335 trillion.

Cryptocurrencies have become a popular and widely researched topic of interest in recent years for investors and scholars. In order to make informed investment decisions, it is essential to comprehend the factors that impact cryptocurrency prices and to identify risky cryptocurrencies. This paper focuses on analyzing historical data and using artificial intelligence algorithms on on-chain parameters to identify the factors affecting a cryptocurrency's price and to find risky cryptocurrencies. We conducted an analysis of historical cryptocurrencies' on-chain data and measured the correlation between the price and other parameters. In addition, we used clustering and classification in order to get a better understanding of a cryptocurrency and classify it as risky or not. The analysis revealed that a significant proportion of cryptocurrencies (39%) disappeared from the market, while only a small fraction (10%) survived for more than 1000 days. Our analysis revealed a significant negative correlation between cryptocurrency price and maximum and total supply, as well as a weak positive correlation between price and 24-hour trading volume. Moreover, we clustered cryptocurrencies into five distinct groups using their on-chain parameters, which provides investors with a more comprehensive understanding of a cryptocurrency when compared to those clustered with it. Finally, by implementing multiple classifiers to predict whether a cryptocurrency is risky or not, we obtained the best f1-score of 76% using K-Nearest Neighbor.

Nvidia is joining the likes of Apple, Microsoft, Alphabet and Amazon with the company briefly reaching a $1 trillion market cap on Tuesday, making it one of only a handful of companies to do so. Shares of the chipmaker, based in California in the United States, have risen significantly and nearly tripled since the start of 2023, in part driven by a wave of artificial intelligence (AI) innovations in the past year. The animation below highlights Nvidia's market cap over the past 10 years. Nvidia was founded on April 5, 1993 and went public in 1999, with shares trading at $0.82. In 2016, Nvidia's market cap began its upward trajectory with the surge in high-end graphics cards sales driven by gaming, AI, virtual reality and the automotive sector.

You've seen it on TV, you've read about it on news websites. Artificial Intelligence, commonly referred to as AI, is now the hottest industry. Stocks that are involved in this industry are taking off. I originally wrote about a form of artificial intelligence back in October of 2021 in an article called The Future of Artificial Intelligence: Can You Invest In It Now? So you may be wondering what companies are the purest plays.

BigTech companies already dominate in GenAI infrastructure with their cloud services and hardware chips. Microsoft and Google are well-positioned in the US cloud market, while Baidu and Alibaba are well-positioned in China. Their massive supercomputer cloud infrastructure is engineered to run GenAI's complex, expensive, large text, visual, and audio Foundational Models. There are already many developers using their cloud AI API services and tools to build apps, and this trend is expected to accelerate as entrepreneurs rush to address virtually limitless GenAI use cases. Amazon has been quiet on Foundational Models, so a big question is how will they respond. GenAI uses massive amounts of computational power to generate creative outputs.

The price of AI Floki (AIFLOKI) is $0.000000038085 today with a 24-hour trading volume of $21,126.88. This represents a 24.50% price increase in the last 24 hours and a price increase in the past 7 days. With a circulating supply of 0 AIFLOKI, AI Floki is valued at a market cap of -. AIFLOKI tokens can be traded on decentralized exchanges and centralized crypto exchanges. The most popular exchange to buy and trade AI Floki is PancakeSwap (v2), where the most active trading pair AIFLOKI/WBNB has a trading volume of $13,519.96 in the last 24 hours.

Artificial intelligence and cryptocurrency integration has given rise to some of the tech industry's most innovative and disruptive projects. The ability to merge the power of AI algorithms with decentralized financial systems has opened up new avenues for growth and development. With an increasing number of projects exploring this space, the crypto landscape is rapidly evolving and creating new opportunities for growth and innovation. Since the advent of ChatGPT, the openness to AI-based technologies is becoming more and more exponential. After all, he raised a $10 billion investment from Microsoft, right?

AI cryptos have reached a $4.27 billion market cap, up 56% from last week, reported Forbes this month. Crypto winter has moved to spring, and AI related cryptocurrencies are leading the way. GNY.io is a leading crypto token, and is engaging communities by offering their AI-powered Range Report. The Report launched with AI forecasting models for Bitcoin, and has now expanded to 7-day forecasts and indicators for Ethereum. Bitcoin and Ethereum make up a staggering 60% percent of the overall market cap for all crypto currencies.

As traders kick off the last month of 2022, Cardano (ADA) is still among the top ten biggest cryptocurrencies by market capitalization, despite being affected similarly to the rest of the market by the aftermath of the FTX crash. Currently, the ninth largest asset by market cap is predicted to increase its value by over 30% by the end of the month, according to NeuralProphet's PyTorch-based price prediction algorithm that uses an open-source machine learning framework. The deep learning algorithm forecasts that ADA will trade at $0.42 by December 31, 2022, a 32% increase from its price of $0.318 at the time of publication. Even though it is not a perfect forecast of future values, the model spanning exhibited a fair track record of accuracy up until the sudden market collapse of the algorithm-based stablecoin project TerraUSD. Since the cryptocurrency market has recently shown signs of recovery, investors are looking to the performance of assets like ADA to make predictions about its price over the next month. Cardano is changing hands at $0.318, up 1.48% in the last 24 hours and 1.67% across the previous week, with a total market cap of $10.9 billion, according to Finbold data.