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AMD Stock Prediction: Why You Should Raise Your Bets On AMD
It is inevitable. Advanced Micro Devices (AMD) has long-term benefits from Google’s (GOOGL) choice of Radeon GPUs (Graphics Processing Units) for Stadia. Stadia is Google’s very ambitious paid cloud-based video games platform. Stadia, with the help of AMD Radeon GPUs, wants to be a goliath version of Sony’s paid streaming games platform, PlayStation NOW.

AMD has long-term benefits if Google’s Stadia remains Radeon-exclusive. PlayStation NOW only offers streaming video games to PC and PlayStation users. Stadia’s on-demand video games subscription service will work on any device. Stadia games will be available to smart TVs, Chrome OS devices, PCs, consoles, phones, tablets, and laptops. Stadia’s universal or cross-platform, device-agnostic approach to streaming video games will require Google to huge purchase orders of Radeon GPUs. Going forward, AMD’s GPU supply deal with Google Stadia is going to a bigger tailwind than Ethereum cryptocurrency mining than ever was.
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Stock Market Forecast: Why The Market Is Predictable
The majority of people are incredulous about the prospect of using AI to correctly forecast the stock market. They believe the market is too random and therefore, unpredictable. However, the mistake these people make is that they fail to understand that the market is not simply a series of indiscriminate/ arbitrary actions, but rather the combination of all of these individual events form a chaotic system.

Chaotic systems are dynamical systems that are highly sensitive to initial conditions and arise from a multitude of reasons. One of the primary ways that market acts chaotically is because (despite one of the most basic economic assumptions) people do NOT always act rationally because of psychological concepts like risk aversion in which losses have a greater emotional impact than gains, trend lovers who follow the herd, news bias, and overreaction. stock forecasts that not only include the predicted direction of the asset, but also a predictability indicator.
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Algorithmic Trading: I Know First Featured On i24 News
i24news recently did a segment on algorithmic trading and featured I Know First. Algorithmic trading has become increasingly prevalent in the past decade and the trend is unlikely to reverse itself in the near future. Using supercomputers to trade can be dangerous in times of volatility and computers can lose significant amounts of money in mere seconds and cause crashes.

However, I Know First incorporates its algorithm into its business to provide forecasts, while leaving the responsibility to humans to do the actual trades, creating a much safer system for investors.
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Bayesian Neural Networks: Applying Bayes’ Theorem To Deep Learning
Bayes’ Theorem is a formula to find the conditional probability, or the probability of one action occurring given the fact that another has occurred. Bayesian inference incorporates new observations to improve the parameter distributions and creates a predictive population distribution. This allows self-learning algorithms to constantly improve the model it has for various assets. Neural networks are multi-layered systems that connect and keep track of all of these relationships and adapts as it learns more. By combining Bayes’ theorem, a probabilistic model can be created.

Through machine learning, multiple competing models of such interactions are created. Each model has a certain view of the markets based on what it has learned from past history. Combining that view with the present values of the market gives a conditional distribution of future values. Together these independent models create a “cloud” of predictions, with measurable statistical parameters. The I Know First self-learning algorithm adapts its model based on new inputs.
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The Future Of Risk Management: Quantifying Uncertainty
Chaotic systems such as the stock market have risk and uncertainty inherently associated with them. Even though we can predict these systems, because of the massive amounts of random events that can potentially occur, it is almost impossible to be 100% accurate. However, it is possible to quantify uncertainty and use these numerical values to minimize risk.

There are many different ways to quantify uncertainty and minimize risk. I Know First is in the process of forecasting ‘what if’ scenarios. Using the stock market data, the algorithm can identify the larger trends in the stock market and reduce uncertainty.
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You might also be interested in:

• The Future Of Risk Management: Quantifying Uncertainty
• I Know First On TV: CEO Yaron Golgher Interviewed on BLOCK TV
• Bayesian Neural Networks: Applying Bayes’ Theorem To Deep Learning

Dear Readers,

I Know First co-founder and chief scientist Dr. Lipa Roitman and I coauthored a chapter about AI-powered Wealth Management Products and Investment Vehicles in the WealthTECH book earlier this year. We wrote about “AI-powered Wealth Management Products and Investment Vehicles” and looked at some of the ongoing trends and changes in the financial services industry and how asset managers can (or should) be transforming themselves to stay relevant. our chapter and the book was a success! It was featured as one of the Best New Fintech Books To Read!

Following this and winning Best International WealthTech Start-Up at the Geneva WealthTech Awards, we have decided to enter our abstract to be considered for the new AI Book. Our abstract, ‘Finding Order In The Chaos: Investment Selection Using AI’ is now up for Chapter 5: Investment management. You can rate us here to help us be selected and read the whole chapter when the book comes out!

Warmest Regards
Yaron Golgher, Co-Founder and CEO

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