I Know First Weekly Newsletter

Dear readers,

U.S. stocks sunk Friday with the Nasdaq Composite notching its worst month since 2008. Amazon became the latest victim in April’s technology-led sell-off. At the same time the?indexes were plunging, our algorithm manage to identify good investment opportunities for our clients.

Over a?3 days period, our AI-powered algorithm correctly predicted the 16.31% return from EDU. The package average was 2.54% while the S&P 500 had a 1.24% loss during the same span.?BILI and CZR also had notable 3 Days yields of 9.49% and 3.32%, respectively.

A?recent study?shows that, since 1929, the probability of negative returns in the S&P 500 decreased as time horizons grow.?The I Know First AI-based forecast includes six tables for different time ranges, from three days ahead, up to a year ahead.?It is also worth noting?that the longer time range forecasts are in general more predictable and the?signals are stronger?than the shorter ones. Let's look at our?recent packages from a one-year period.

In the?Chemical Stocks?package, our AI had a 100% accuracy for the stock movements, including a 127.3% from OXY. The package average was 36.70%, way over the 2.41% gain from the S&P 500 during the same period.

For the?Energy Stocks?Package, the top-performing prediction was TELL with a return of 143.52%. ERF and MRO saw outstanding returns of 134.04% and 128.76%.?The package itself saw an overall return of 57.94%, providing investors with a 58.03% premium above the S&P 500’s return of -0.09% for the same time period.

And for the?Fundamental Stocks?package, the algorithm accurately forecasted a 227.32% gain from HDSN.?This algorithmic forecast package presented an overall return of 37.03% versus the S&P 500’s performance of -1.23% providing a market premium of 38.26%.

As a matter of comparison, we can see the difference between the signals and predictability from the packages mentioned above and the?52 Week High Stocks?package forecast from a 3 months perspective. Even in a shorter time frame, the AI predicted a 105.78% gain from SRRA, elevating the package average return to 28.36% compared to a negative -6.77% from the S&P 500.

Also in a 3 months time horizon, we need to highlight the?ETFs Forecast. The package average was 9.18% while the S&P 500 had a 4.16% deficit. In other words, our clients were able to enjoy a solid investment opportunity despite the negative market trend. We could also identify sectors such as energy (OIH, USO, XOP, XLE, IXC), as well as?metal and mining (XME) flourishing during this period.

Moreover, the algorithm also offers predictions for stocks to short. In a one-month period, for the?Stocks Under $10?package, 9 out of 10 stocks moved as forecasted by the AI, generating returns such as 49.56% from CPS. The package average was 16.59% compared to a -9.69% from the S&P 500 index.

For the 14 days span, the?BioTech Stocks?package excelled as an opportunity to short. The AI predicted all 10 stock movements, elevating the average yield to 17.80%. For a matter of comparison, the S&P 500 decreased 4.85% over the same period.

Over a 7 days time horizon, our highlight was the?Automotive Stocks?package. The algorithm once more overcame the negative tendency, providing a 1.50% average return versus a -2.20% from the S&P 500.?AN was the highest-earning trade with a return of 13.91%.

And finally, in a 3 days time horizon, the?Undervalued Stocks?package saw the algorithm predicting correctly a 13.12% return from MHK, as well as?8.9% from ICLK.?The package saw an overall yield of 3.41% versus the S&P 500’s return of -1.04% implying a market premium of 4.45%.

If you are interested in any?of the packages mentioned above,?you can have access to them by?clicking here.

Warmest Regards

Yaron Golgher, Co-Founder and CEO