Stay Ahead Of The Curve: AI Weekly. MarketWatch Press Release - AI-Driven Stock Predictions: I Know First to Democratize AI for All Artificial intelligence is being widely used by big players in the investment scene. While the technology has a lot to offer, advanced models trained by top investment banks are likely to stay out of the reach of a broader audience. Thus, It is up to ambitious startups like I Know First to democratize AI for all.



“It is our mission to make top-notch predictive AI accessible to everybody,” says Yaron Golgher, CEO and co-founder of I Know First. “The rise of AI has so much to offer to investors, and it is up to companies like I Know First to democratize AI for all.”



Read more. AI in Options Trading: Bet on the Data Options are derivatives that allow you to buy or sell a specific security at a certain price, known as the strike price, within a specified time period. The options that allow the holder to buy the security at the strike price before maturity are called put options. Put options counterparts, which are used for selling the underlying asset, are referred to as call options. American options normally allow trading the security at any point within the period they cover, while European options can limit the window of opportunity to the time of their maturity.



It is quite easy to see why predictive AI and these derivatives click so well together. In most cases, to make a profit on options, you need to have a picture of what happens next on the securities that you are working with. An AI-generated forecast would come in handy here, joining the arsenal of the tools of the trade alongside technical or fundamental analysis. Derived exclusively from objective data and lacking any human bias or emotion, AI would seamlessly complement the trader’s own skills and brilliance.



Read more. AI Revolution in Finance: Global Investment in AI Fintech Fuels the Flame The recent boom of artificial intelligence technology has shaken the world, transforming businesses and entire industries. The financial sector is no exception to this; it has already seen a broad range of initiatives that aim to introduce AI in a variety of applications. Where we are today, however, is the dawn of the era of AI in finance, as its implementation only recently has begun to pick up the pace. This disruption comes on the back of gargantuan investments poured into AI by a multitude of major players: banks, for example, are projected to dish out a whopping $300 bln. into AI by 2030. A large share of this can be expected to come in the shape of capital funding for lucrative startups, not just in-house projects. Either way, the increased investments can only speed up the glorious AI revolution in finance, a titanic change that is bound to take the finance industry to a whole new level.



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Ranking the Top 10 Worldwide Stock Exchanges: US Exchanges Maintain Strong Lead, Asian Exchanges Appear Poised for Big Jump

The top 10 stock exchanges, which are led by US-based NYSE and Nasdaq and end with Canada's Toronto and India's Bombay exchanges, form a drastically different list than what appeared a decade ago and the order will continue to be substantially adjusted as we enter the next decade. The private wealth share projections support the claim that many Asian stock exchanges will climb up the top half of the rankings, while many European related exchanges will fall to the bottom half, or off the list completely. Our forecasting returns for the various top 10 stock exchange indices align with the performance of each stock exchange throughout our years covering world indices, particularly with respect to their performances YTD.



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Evaluation Report: Tech Giants Stocks Package The purpose of this report is to present the results of live forecast performance evaluation for I Know First AI Algorithm, specifically for Tech Giants Stocks. The following results were observed when signal and predictability filters were applied in order to pick the best-performing stocks out of the most predictable ones. The period under evaluation is from 1st January 2019 to 21st July 2019.



In general, all the groupings produce greater returns than the benchmarks for most time horizons. As soon as we start to consider 2-weeks’ time horizon, we see that the returns of the Top 10 and Top 5 subsets make significant jump comparing to the 3-days or 1-week periods and ultimately reach 2.37% and 2.42% returns respectively for a 2-week horizon. The hit ratios for Top 10 and Top 5 filtered subsets follow a similar pattern – for all of the time horizons the hit ratio are firmly above 60% and we observe its peak values for both sets on 2-weeks time horizon at 66% for Top 10 Signals and 65% for Top 5 Signals.



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