Stay Ahead Of The Curve: AI Weekly

Nvidia Stock Forecast: Why You Should Buy More Shares of NVDA My optimism on further upside for NVDA is due to its leadership in gaming. Gaming contributes $34.3 billion/year to the global computer graphics hardware business. This contribution will hit $37.69 billion by 2022. Nvidia is therefore a leader in a growing (not declining) industry. I expect Nvidia to beat its own Q4 revenue guidance of $2.95 billion (below Wall Street’s expectation of $3.06 billion). The Christmas shopping quarter is usually the peak season for buying new or upgrade their gaming video cards and computers. Many people will get their 13th month pay and Christmas bonuses. The increased purchasing power of gamers during November and December consistently boost the fourth quarter topline of Nvidia. Gaming remains Nvidia’s biggest profit and revenue growth driver. The Black Friday and Christmas sales events boost will help the Gaming segment deliver Q4 FY20 revenue of more than $1.8 billion. Q3 saw Gaming revenue of $1.659 billion, up 26% quarter-over-quarter. You should raise your bets on NVDA because its consumer graphic accelerator cards still dominate Amazon’s best-seller list.



Read more. i24 News: Can Artificial Intelligence Handle Your Investment? Watch below to see i24 News' feature of I Know First's predictive algorithm and its ability to outperform human investors.



Some highlights: "We are utilizing artificial intelligence, more specifically machine learning, deep learning, artificial neural networks to predict financial markets. Our predictive algorithm is generating daily forecasts for over 10,500 assets."

"They claim they can out invest any human being."

"Machine intelligence can react faster to circumstance than any human investor." Watch here. AI vs Technical Analysis: Can AI Improve Your Stock Trading Strategies? In February 2017, Goldman Sach’s New York headquarters sacked 600 traders and replaced them with some 200 computer engineers who are overseeing automated trading programs. Since then, Goldman Sachs has already begun to automate currency trading, and has found consistently that four traders can be replaced by one computer engineer.



Machine Learning and different techniques created new systems to spot patterns which the human brain is not capable of. Since finance is quantitative, AI in stock trading is gaining traction. Financial corporations endowed heavily in AI in the past, and they investigate and implement the financial applications of machine learning (ML) and deep learning to their operations. In 2010, high-frequency and algorithm trade accounted for 60% to 70% of trading in the US alone. By 2014, this number rose to 75%. By 2017, JPMorgan reported that traditional traders represented a mere 10% of trading volume. In fact, Wall Street had its first 100% AI-powered Equity Trading Fund (ETF) in 2017 and its shares rose by 20% in one year. This ETF operates on the IBM Watson, processing and analyzing the news related to 6000 American companies. Additionally, Watson continual learning capabilities examined its own performance, in the case of unprofitable transactions, the algorithm would learn from its mistakes to make more accurate decisions in the future, a trait that is similar to The I Know First Market Prediction System. Read more. Why Machine Learning Is Important in the Future The reasons that I Know First uses a predictive algorithm instead of financial analysts is as follows: The amount of data that must be used to forecast so many different assets, can only be handled by a computer. Secondly the speed that a computer can proceed data, is much faster than any human ever could do. And last is that the algorithm is objective and relies 100% on empirical data, whereas financial analysts are often influenced by their opinion when analyzing a company.



Machine learning is about to revolute the world, as we do not have to teach computers how to solve complex tasks. The senior research Greg Corrado, who works for Google as scientist states: “It’s not magic. It’s just a tool. But it’s a really important tool.” He also said that “Before internet technologies, if you worked in computer science, networking was some weird thing that weirdos did. And now everyone, regardless of whether they’re an engineer or a software developer or a product designer or a CEO understands how internet connectivity shapes their product, shapes the market, what they could possibly build.”



Read more. TSM Stock Forecast: Raise Your Winning Bets on Taiwan Semiconductor TSM deserves a high Forward P/E valuation. Its leadership in 7-nanometer fabrication process technology keeps it ahead of Intel (INTC) and other rivals. TSM is at the forefront of the growing $481 billion/year semiconductor industry. The long-term prosperity of Taiwan Semiconductor assured. It persists as the no. 1 pure-play foundry service company. The expected strong Q4 sales of the iPhone 11 can boost Taiwan Semiconductor’s topline and bottomline. Apple will likely ship out up to 90 million iPhone 11 phones by end of December. TSM still remains the exclusive A13 processor supplier for the new iPhones/iPads. This is very important because smartphone-related chips foundry contracts account for 49% (or $4.61 billion) of Taiwan Semiconductor’s Q3 revenue of $9.40 billion. The holiday shopping season will boost demand for electronic/digital products. Because GlobalFoundry abandoned its 7-nanometer process, Taiwan Semiconductor can continue its pseudo-monopoly on 7-nanometer semiconductor foundry contracts. Read more.



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