Stay Ahead Of The Curve: AI Weekly. AI In Banking: Disrupting Conventions The rise of artificial intelligence technology has transformed multiple industries, from marketing to manufacturing. The financial sector is also going through a transformation, one that came on the back of AI’s surge in recent years. The arrival of tech-savvy startups has been a disruptor for the traditional segments of the financial world including banks. A recent Business Insider report anticipates that by 2023, AI will be saving banks up to $447 billion, especially in terms of front and middle office operations. For example, AI can help traders bring in more revenues by assisting them in their investment decisions and streamlining their work.

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Unpacking the Ins and Outs of a Chaotic System In a chaotic system like the weather, a tiny change can make a huge impact. Weather is predicted a few days in advance because small changes in input can produce dramatically different results. The most commonly used example to explain chaos theory is the butterfly effect. It says that a butterfly flapping its wings on one end of the world can give rise to a hurricane in another part of the world. It sounds bizarre but it illustrates the huge impact small changes in the factors can have on the outcome. Statistics of chaotic systems are constantly changing over time. It is also not ergodic, which means that past data is not representative of what is to come. In truth, three competing paradigms control chaotic systems: stability, memory, and sudden and drastic change.

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Evaluation Report: S&P 500 Index - July In this forecast evaluation report, we examine the performance of the stock market predictions generated by the I Know First AI Algorithm for the S&P 500 Index with time horizons ranging from 3 days to 3 months, which were delivered daily to our clients. Our analysis covers the time period from the 1st January 2019 to 14th July 2019.

Over the 14-day time horizon, our algorithm predicted the S&P 500 with a 79% Hit Ratio , thus allowing our clients to be able to invest their money with significantly less risk! On top of this, our predictions ended up consistently above 60% accurate despite very volatile times in the world economy over the last half-year.

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MS Stock Outlook: Morgan Stanley Making Money Moves Fears of an economic slowdown are dominating today’s market due to geopolitical and general economic concerns. Treasury notes face an inverted yield curve, where short term interest rates are higher than long term interest rates – a historical warning of an economic slump. In this concerning economic environment, Morgan Stanley (MS) is a good choice for investors due to its long-term fundamentals. These same economic concerns have prompted expectations that the Federal Reserve will cut interest rates at its next meeting. Morgan Stanley Chief Cross-Asset Strategist Andrew Sheet explains that investors may face volatility due to Federal Reserve actions: “While rate cuts have been positive for equity markets historically, there are times when the Fed’s cuts don’t work. Specifically, if the Fed is beginning a new full-blown rate cycle, equity markets tend to respond negatively until the Fed can get ahead of the slowdown. We think the risk of a U.S. recession starting in the next 12 months is high, as high as it’s been since 2007…it is likely to have a negative impact on stocks over the next three to six months." As a result of this high probability, investors should look to stocks such as MS which can succeed in an environment where other stocks struggle due to its strong competitive position, recent business updates, and secure financials.



Read more. Under 10 Dollars Stocks Package Forecast Evaluation Report In this forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for stocks from the Stocks Under 10 Dollars Package, which is sent to our customers on a daily basis. Our analysis covers the time period from 1 April 2018 to 31 May 2019.



As soon as we start to consider longer time horizons, we see that the return of the Top 5 and Top 10 subset at a 3-month period is significantly greater than Top 20, with Top 5 rendering 2.26% and Top 20 rendering 0.97%. In the end, the highest outperformance over the considered benchmark was produced by Top 5 assets with 1183.55% returns at 3-day time horizons.



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