I Know First
Weekly Newsletter | August 4th, 2020

We’re happy to share our best article and stock prediction of the week:

• Top Trade Ideas – Coronavirus Stock Market Forecast Based on Big Data Analytics: Returns up to 696.41% in 3 Months

• Top Featured Article – Nvidia Stock Forecast: ARM Holdings May Boost Nvidia’s Stock Over $460

Need to Know First!

• Stock Screener Based on AI: Returns up to 32.71% in 3 Days
• Consumer Staples Stocks based on a Self-learning Algorithm: Returns up to 104.43% in 7 Days
• Best Stocks To Buy Based on Big Data Analytics: Returns up to 55.34% in 14 Days
• Stock Scanner Based on Algo Trading: Returns up to 176.52% in 1 Month
• Best Tech Stocks Based on Machine Learning: Returns up to 157.45% in 1 Year
• Nokia (NOK) Stock is up 33.52% since May 10, 2020 as 5G infrastructure industry continues to sport a CAGR of about 51.01% and Nokia remains world’s No. 2 vendor of telecom equipment products.
• Facebook (FB) Stock is up 33.46% since April 27, 2020 as D.C. federal judge approve $5 billion fine on Facebook and US Federal trade Commission charges Facebook with privacy violations.
• Apple (AAPL) Stock returns up to 20.84% since June 19, 2020 as strong rumors surface on Apple’s use of ARM-based processors for next-generation Mac computer products. 

Weekly Winning Forecasts

Stay Ahead Of The Curve: AI Weekly

Nvidia Stock Forecast: ARM Holdings May Boost Nvidia’s Stock Over $460

Nvidia is currently trading above $405, validating the last bullish prediction of $388 from June 9. Despite it’s impressive earnings, the stock remains a strong buy into the near future. The company’s intention to buy ARM Holdings from SoftBank Group could see the stock price push beyond $460. The intellectual license owner of ARM processors used by devices like drones, surveillance cameras, smartphones, tablets, and laptops, ARM Holdings would be an incredible addition to Nvidia’s strong portfolio.

If Nvidia is able to secure this deal, they will obtain the power to either get or renew their license to design and manufacture ARM-based processors. This production capability coupled with the fact that Nvidia is incredibly profitable are two reasons why the firm remains a strong investment into the going year. The I Know First algorithm supports this prediction with a strong 1-year bullish forecast of its own for NVDA.

Read more.

How AI Can Improve Your Day Trading Strategies

Day trading, a strategy where a trader buys and sells the same security on a single day, has risen in popularity in recent years due to a larger market of commission free stock brokers. Despite having strong upside potential, 79.5% of day traders lose money, according to eToro. To have consistency and reliable returns, investors must be able to identify opportunities and exercise their trades at specific times. For this, empirically driven forecasts such as the I Know First predictive algorithm can help augment traders’ own insights with machine learning driven analysis.

In opposite to day trading, long-term investing, a strategy where an investor holds a security for a specific period of time usually ranging from three months and longer, can help investors find a strategy that is less volatile in risk and return. By holding long-term investments, traders can earn on compounding interest that continuously grows their principal amount with every compounding period. Similar to day trading, AI-driven forecasts like the I Know First algorithm can help narrow down good low-risk stocks for investors to hold and consistently grow their portfolio through gradual increments.

Read more.

Stock Market Outlook: AI-Based Algorithm Shows Accuracy Up To 72% in Daily S&P 500 and Nasdaq Predictions

The I Know First predictive algorithm has recently been showcased in a MarketWatch article for its ability to predict the movement of the S&P 500 and NASDAQ indices with an accuracy of up to 72%. This accuracy measure comes from an evaluation report from I Know First on May 18, 2020. More impressive is that between March 2019 and mid-May 2020, the evaluation report states that the AI-driven algorithm managed to consistently deliver forecasts with a precision over 60% for all time horizons, even during the Coronavirus pandemic.

Delivering predictions for over 10,500 assets, the I Know First predictive algorithm runs on purely empirical data and self-learning methods, sidestepping any possibility for human-based error judgment. This consistency and reliability in forecast, which gave its top performance in the three month time horizon of an accuracy of 72%, is why more people are beginning to realize the utility of machine learning forecasts. Don’t lose your spot on the train and jump on before its too late!

Read more.

Sector Rotation Amidst Coronavirus’ Economic Downturn

Sector rotation, or the act of moving investment assets from one sector of the economy to another, is crucial in black swan events like the advent of Coronavirus. Ending the largest bull market in US history, the Coronavirus pandemic has caused some of the worst quarters in recent times and spiked unemployment and stagnation. However, in any market there are opportunities to identify return potential. This is where sector rotation takes its place.

By moving assets from hurting markets to ones that are benefiting from the recent pandemic, traders can offset their losses and turns them into reasonable profit. Sectors like airlines and energy have seen significant downturn as a result of the virus, while other sectors like tech, gaming, streaming, and healthcare have seen massive gains. However, human insight is not perfect enough to select opportune sectors by itself. By coupling their research ability with the empirically driven I Know First algorithm, investors can efficiently identify new sectors to move capital into, benefiting from the proven accuracy of the algorithm to predict opportunities during the recent pandemic.

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Volatility Trading: Are You Ready to Beat The Crowd with I Know First? 

Volatility trading, or the act of trading the volatility of the price of an asset instead of the price itself, as well as trading volume of securities can help indicate market trends and potential price movements. Changes in volume can help traders better understand the strength of price movements. If rising markets do so on increasing volume of trading, this increase can be seen as strong and healthy. On the other hand, falling markets with high volume indicate a definitive downward trend, signaling a warning for any investor.

Due to the importance of a volume indicator, the I Know First predictive algorithm now offers a forecasting service for volatility trading. Ranging from three days to an entire year, the forecast predicts the movement of volume for given assets. Using its self-learning methodology built on purely empirical data, the algorithm avoids the pitfalls of human-made error judgment and provides unbiased and consistently accurate forecasts for the volatility of stock volume and price.

Read more.

Want to learn more?

• Algorithmic Trading: The New I Know First Interactive User Interface
• Micron Stock Forecast: Surging Cloud Computing And The Pandemic Will Keep Boosting Micron’s Stock
• AI-Driven Algorithmic Trading: Self-driving Car For Stock Markets

Letter from the CEO

Dear Readers, 

The major equity averages wrapped up the month of July with solid gains, posting a positive month for the fourth straight time in a row. Similarly, the S&P 500 saw a gain of 5.5% in July, while the Dow Jones and Nasdaq Composite rose 2.35 and 6.8%, respectively. Considering the relatively significant gains, what stocks did the I Know First Predictive Algorithm select for this month?

Our Aggressive Stocks package stood out for July. In the 1-month forecast, TUP, KIRK, and NVAX all had returns of 176.52%, 110.17%, and 79.55%, respectively. Just in the past week alone, TUP jumped 69%, KIRK by 34%, and NVAX by 7%! The total average return of the forecast was 42.17%, outperforming the S&P 500 index by a total of eight times!

Other packages saw similarly impressive performances. In the 1-month forecast for the Implied Volatility Options Package, OSTK and OPK both had returns of 116.16% and 108.27%, respectively. Just in the past week alone, OSTK jumped 42%! The total average return of the forecast was 40.74%, outperforming the S&P 500 index by a total of four times! In the 1-month forecast for the Top S&P 500 Stocks Package, ABMD, FCX, and GPS all had returns of 25.00%, 23.26%, and 17.23%, respectively. The total average return of the forecast was 14.65%, outperforming the S&P 500 index by a total of 6.36%!

July may have come and gone but August is just around the corner. What are the stock picks for August 2020 based on this deep learning algorithm? Don’t wait to find out, click here to access the predictive power of AI-driven insights! 

Warmest Regards

Yaron Golgher, Co-Founder and CEO

Q: What is the forecast date?
A: The forecast date is the date the algorithm released this set of predictions.

Q: What is the time horizon? 
A: The time horizon is the suggested period of time to hold the suggested stocks. When we calculate the forecast performance, we do so from the forecast date through the end of the time horizon. 

Q: What is the return?
A: The return is the percentage movement of each stock multiplied by 1 if the algorithm suggested a long position or multiplied by negative 1 if the algorithm suggested a short position. In other words if the algorithm correctly predicts the direction of the stock, the return is the positive percentage change of the stock, and if the algorithm incorrectly predicts the direction of the stock, the return is the negative percentage change of the stock. The return is the last end of the day price at the target date of the forecast VS the price when the forecast was sent (the end of the day price of the previous day).

Q. How should I use the predictability and signals? 
A. It is recommended that investors consider both the signal strength and predictability, as a highly predictable stock that barely moves and an unpredictable stock that is projected to move drastically both make unattractive investments.