What Is A Company's True Value? Top 3 Valuation Methods For Investment

The share prices for assets vary not only on a day-to-day basis but on a minute-to-minute and even second-to-second basis. There are many reasons for these fluctuations in prices, but it essentially comes down to the inability to discover the true value of any asset. Prices for assets constantly overshoot or undershoot an imaginary point of equilibrium called the “fair price”. As share prices fluctuate daily, investors and analysts do what is called stock valuation in order to determine the essential value of particular stock or asset. There are innumerable valuation techniques that can be used for this determination as each stock is unique and each industry has unique properties that need to be taken into account. Valuation methods can be divided into two basic categories: Absolute Valuation and Relative Valuation. Read more.



Want To Know How The Stock Market Works? Chaos Theory Explains It

Looking at the common fallacies about stock markets, we can see two major groups. The first group is connected to the classical economic theory, which claims that markets are 100% efficient, and as such unpredictable. However, trying to make predictions regarding the markets is useless anyway, as no stock can be possibly be a better deal than another. Both of them are efficient and everybody in the market has perfect information available to them. From our daily lives it is obvious that this does not truly reflect reality. There are people who actually profit trading stocks, which should not be possible in this idealistic market of economy theories. On the other hand it is also not true that stock markets are completely chaotic, which claims the other big group of fallacies. Otherwise big trading houses such as Goldman Sachs are able to profit consistently, while in the chaotic market the profits and losses would always sum up to zero over a longer period of time. Where is the truth then? Read more.



Collaborations With Institutional Investors For Mid-Term Oriented Strategies

In this article, we summarize some methods of utilizing I Know First’s state of the art machine learning for trading in particular in the area of fund management. We present the performance of mid-term oriented algorithmic trading strategies based on I Know First’s AI-based forecasting signals and give an update on one of Know First’s collaborations with an institutional investor to bring AI-powered funds to the marketplace. The analyses continue to show that portfolios of S&P 500 stocks based on I Know First’s signals result in high performing and scalable strategies with average holding periods up to 30 days, suitable for mutual fund products and other investment vehicles. Portfolio constraints (total short positions <=15% & each individual position<=10%) and costs of commissions and bid-ask spreads are applied to take typical requirements of mutual funds and alike into account. Read more.



Nvidia Is Winning The Game For Self-Driving Cars With The Pegasus

Anything that can help increase the quarterly revenue of Nvidia's Auto business unit is an important matter that should be discussed here. To gauge just how important self-driving car technology-related products like the Drive PX Pegasus, read on Google's (GOOG) (NASDAQ:GOOGL) billion-dollar legal suit against Uber allegedly receiving Waymo trade secrets. The Drive PX Pegasus is 10x more powerful than the Drive PX 2 hardware. It can reportedly match the compute power of a 100-server datacenter rack. I consider this new hardware from Nvidia as the super-sized version of Intel's (INTC) neuromorphic processor. A little tweaking from Nvidia and Drive PX Pegasus can also self-learn like a human brain. Simultaneously, it can still deliver over 320 trillion operations per second compute performance without being tethered to the cloud. The Drive PX Pegasus could catapult Nvidia as the go-to processor supplier of the $38 billion/yea r ride-hailing industry's adoption of robotaxis. Goldman Sachs also expects the ride-hailing industry to grow to $285 billion by 2030. The Drive PX 2 Pegasus level 5 autonomous car processor can make Nvidia the enabler of some unicorn companies. The massive valuation of ride-sharing firms/taxi-hailing like Uber ($68 billion) and Didi Chuxing ($50 billion) can probably come true when they start augmenting their human-driven cars with Nvidia-powered robotaxis. Read More.



Why Cryptocurrency Is Acting As A Tailwind For AMD

HotHardware has recently revised their list of best Ethereum mining GPUs (Graphics Processing Units). The Radeon Vega 56 and Vega 64 video cards from Advanced Micro Devices (AMD) are now the top-rated GPUs for mining Ether. This is based on hash-rate using NiceHashMiner. Radeon Vega GPUs are scarce right now. Ether miners probably bought most of them. The GPU-only Ether cryptocurrency still trades above $300. This is in spite of China and other countries banning Initial Coin Offerings [ICO]. Government people are probably worried that cryptocurrency will reduce their control over people’s wealth. Unless they criminalize it, governments cannot stop people from mining/trading crypto money. Meanwhile, AMD can continue to benefit from this cryptocurrency mining industry. AMD’s Radeon GPU business, therefore, still has a strong tailwind from the $150 billion global industry of cryptocurrency mining. I previously explained that AMD gained market share in discrete GPUs in Q2 because of cryptocurrency miners. Jon Peddie Research hasn’t released its GPU shipments data for Q3. However, my fearless forecast now is that AMD again gained market share in Q3. It might also happen this Q4. Nvidia (NVDA) has not yet released Volta-based consumer GPUs that can counter Radeon Vega products. Read More.





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