I Know First Weekly Review Algorithmic Performance: April 22nd, 2021

I Know First
Weekly Newsletter | April 22nd, 2021

Good morning, I Know First universe.
We’re happy to share our best article and stock prediction of the week:
  • Top Trade Ideas – Hedge Fund Stocks Based on Deep-Learning: Returns up to 607.57% in 3 Months
Top 10 Stocks to Buy This Week Based on AI Predictive Algorithm + Top 10 Aggressive Stock Picks

Need To Know First!

  • Best Stocks To Buy Based on Predictive Analytics: Returns up to 5.24% in 3 Days
  • Stock Forecast Based on Artificial Intelligence: Returns up to 16.78% in 7 Days
  • Artificial Intelligence Stocks Based on AI: Returns up to 20.89% in 14 Days
  • Artificial Intelligence Stocks Based on Pattern Recognition: Returns up to 20.63% in 1 Month
  • Hedge Fund Stocks Based on Deep-Learning: Returns up to 607.57% in 3 Months
  • Best Stocks To Buy Based on Algorithmic Trading: Returns up to 232.97% in 1 Year
  • HP (HPQ) Stock returns up to 91.22% since July 21, 2020, as it becomes the second-largest vendor in the PC market and achieved strong sales growth in Q2.
  • Novavax (NVAX) Stock returns up to 82.46% since December 8, 2020, as investors believe Novavax is a major competitor for the vaccine from covid-19.
  • Nvidia (NVDA) Stock returns up to 72.30% since June 24, 2020, as it’s gaining rapid expansion in data center revenue, while still gaining market share in GPU sales.

Best Investment Opportunities For Q2

At the beginning of 2021, we offered the top stock picks for this year Now, our predictive algorithm analyzed the most attractive assets for the second quarter of the year.

For the first quarter, we saw impressive results from our Aggressive Stocks forecast. The AI predicted correctly returns of 226.22%, 275.35%, and 211.06% from RIOT, MARA, and OCGN respectively. The package average stood at 99.46%, providing our clients with a premium of 93.25% over the S&P 500.

Our Hedge Fund Stocks package also had an impressive result for the Q1. GME, also the best stock in the period, returned 916.19% in the time horizon. Let’s not make it outshine other returns such as PDCE’s 72.21% and OXY’s 58.17%. The package average yield, an incredible 120.86%, was miles higher than the 7.02% registered by the S&P 500.

In general, you can see that our algorithm had excellent results in the first quarter of 2021.

To help you filter through all the different forecasts we have, I Know First’s Research Department has compiled the most recommended investment avenues for the second quarter of 2021. The outlook is based on the most prominent assets the algorithm will find for the coming year. The forecast includes the top 3 stocks for the second quarter, best S&P 500 stock, best aggressive stock, Best dividend stocks, Best mega stocks, best ETFs, the most up-to-date S&P 500 Forecast, Nasdaq forecast, updated Bitcoin forecast, and more!

You can get access to this report today so you can know first what the biggest winners of 2021 will be!

Weekly Winning Forecasts

3 Days
High P/E Stocks: 18.32% Return
Dividend Stocks: 9.54% Yield
Top 10 Stocks: 2.32% Average

7 Days
Chemicals Stocks: 16.78% Yield
Medicine Stocks: 5.38% Average
ETFs Forecast: 8.97% Return
14 Days
Best AI Stocks: 9.22% Average
ETF to Buy: 22.0% Return
S&P 500 Stocks: 21.09% Return
1 Month
Best AI Stocks: 9.03% Average
Cryptocurrencies: 107.52% Return
Mega Cap Stocks: 20.67% Yield

3 Months
Hedge Fund Stocks: 607.57% Yield
Consumer Stocks: 333.75% Return
High P/E Stocks: 45.85% Average
1 Year
Consumer Stocks: 3413.29% Yield
S&P 500 Stocks: 123.22% Average
Top 10 Stocks: 347.35% Return
☆ Top 10 Stocks to Buy Today: Predicting This Week’s Winning Stocks By Using Deep-Learning ☆

Snippets From Our Top Blog Posts For The Week:

Stay Ahead Of The Curve: AI Weekly

INTC Stock Forecast: Why Intel’s Stock Will Eventually Breach $70

Congratulations to those who heeded my December 19 buy recommendation for Intel (INTC). Back then, INTC’s price was below $51. INTC’s stock price recently dipped but it’s still trading above $64. Intel’s stock has delivered a year-to-date price return of +30.51%. I’m still endorsing it as a buy. I’m highly confident INTC can reach $70 within the next 60 days.

INTC is still undervalued when compared to its semiconductor industry peers. This is grossly unfair because Intel is extremely profitable for a long time now. The surging PC market is a big tailwind for INTC. The work-from-home, learn-from-home pandemic protocol is still boosting Intel’s Data Center Group. It’s a no-brainer that INTC will eventually breach $70 soon. Like it or not, Intel indeed has consistently produced a higher operating income margin than Nvidia or AMD.

Read more.

Quantum Trading: Econophysics Can Help Predict Financial Markets

Though many wouldn’t think of the financial market and physicists being much related, Econophysics, a relatively new field of study, is proving how the notions in physics are able to explain phenomenons in the financial market that baffles investors. This combination between physics and finance/economics, allows the business world to better tackle various risks found in finance.

I Know First has a state-of-the-art algorithm, that uses Artificial Intelligence and self-learning capabilities to predict asset price movements in the market today. The algorithm as well incorporates models and concepts derived from phase transition. The concept of phase transition occurs mainly in conditions of market instability, which is analogous to supersaturation in physics. When one paradigm has been exhausted, and the conditions are ripe for a change, then any small perturbation in the market input, such as the interest rate change, or social event (presidential elections) can bring about a large paradigm shift.

Read more.

Algorithmic Trading: I Know First Strategy Tutorial (Part 2)

We are now exploring the possibility of managing a hedge fund. To get an idea of potential profitability, we are developing and conducting backtests.

The system forecasts multiple stocks, each in six different time ranges, and each signal comes with predictability. The number of variables per stock is 12, and we have hundreds of stocks to consider. Thus there is a multitude of possible ways to trade this system. We do not know of any standard backtest that fits our system and have to develop our own.

We encourage you to review your historical data and trades and see how you could optimize them by using this algorithmic trading strategy.

Read more.

NVDA Stock Forecast: Is There a Limit to NVIDIA’s Growth?

NVIDIA Corporation operates as a visual computing company worldwide. It operates in the Graphics segment and Compute & Networking segment. The company’s products are used in gaming, professional visualization, datacenter, and automotive markets. The company headquarter is located in Santa Clara, California.

I take a buy-side on NVDA stock because the stock holds a positive DCF forecast resulting in a $674 target price, i.e., around 11% upside potential. The company products and services are used in a broad range of industries. Nvidia is one of the most profitable companies in the semiconductors industry and shows a steady growth rate. Nvidia aggressively acquires companies to accelerate its growth.

Read more.

Algorithmic Trading With AI: Two Heads Better Than One

S&P500 (^GSPC) and 10-year Treasuries will go down in a month’s time, Bloomberg reported in early July, citing a very unorthodox analyst. The forecast in question was delivered by an AI algorithm trained by JPMorgan Chase, one of the world’s top investment banks. This AI is just one of the many cases which highlight the interest that the big players have in the technology.

One of the leaders in AI-driven stock market prediction is I Know First, an Israel-based company that has launched a deep learning-based AI delivering daily forecasts for over 10,500 financial instruments, including ETFs, stocks, and currencies. Deep learning is one of the most advanced kinds of machine learning, one that mimics the way the human brain works. It relies on deep neural networks, which incorporate a number of so-called hidden layers between the input and output ones.

Read more.

Want to learn more?

Letter from the CEO

Dear clients,

Today we are talking about long-term forecasts. The daily forecast includes an algorithmic forecast for six different time frames (short, mid, and long term): 3 days, 7 days, 14 days, 30 days, 90 days, and one year.

Looking into our Hedge Fund Stocks package in a 90 days time horizon, we can see good results from our algorithm. Alongside the 607.57% increase from GME, the AI also predicted correctly a 44.89% increase from AEO and a 4187% from PDCE. The package average return was 83.29%. In other words, it was almost ten times the S&P 500’s 8.64% return.

A little more than a year has passed since the outbreak of the coronavirus in the world. After sharp declines in March 2020, the stock market has gone up and up and breaking records this year. The ETF package signaled to us back then that the main indices, the S&P 500 (SSO) and the Nasdaq (QQQ), would still rise that year. Our package average not only was outstanding but also beat the index performance by 2 times. In addition, all the recommended ETFs in the forecasts rose at the end of the year.

And this was not the only 1-year package that registered excellent results amid the pandemic.

Our Top 10 Stocks package registered a 70.43% in the period, providing investors with a 43.38% premium over the S&P 500’s return of 27.05% during the same period. The most notable returns came from URI and AMAT: 151.18% and 91.66% respectively.

Plus, our package indicating the Top S&P 500 Stocks also performed better than the index itself. The package average yield was 73.36%, while the S&P 500 registered only a 27.94% return. URI was the highlight of the package, with a return of 129.39%, while NVDA’s 117.17% and ABMD’s 110.79% were also notables. All 10 stocks of this package moved as predicted by our algorithm.

It is important to remember that in the time span of a year there are the highest indicators of indicators, the signal, and the probability. Also, the time span itself is an important indicator of the strength inherent in the asset. Each forecast contains 6-time ranges (3 days, 7 days, 14 days, etc.) and the year range also appears in it, providing us with the most recommended long-term stocks.

If you do not want to miss any new opportunities, from the short to long term, you can get access to all our packages right now. Our artificial intelligence is ready to boost your portfolio and your investments.

Warmest Regards

Yaron Golgher, Co-Founder and CEO
Q&A With I Know First
I Know First’s Daily Market Forecasts And How to Interpret the Numbers
Q. What are the Top 10 stock predictions?
A. The Top 10 stock predictions are the stocks that are poised to grow the most (have the strongest positive signals).

Q. What is the S&P 500 stock prediction and why do you include it?
A. The S&P 500 is the major US index and is a general indicator for the direction of the US stock market. If the algorithm predicts that the S&P 500 will go up, then it is a good sign that the stock market will generally increase. It helps in decision making. It is generally preferable to go long the Top 10 stocks when the S&P 500 has a positive prediction and to go short the 10 stocks on the bottom of the table when the S&P 500 has a negative prediction.

Q. How should I use the S&P 500 forecast?
A. The S&P 500 is a great representation of the general US stock market. If the algorithm predicts that the S&P 500 will go up, then it is a good sign that the stock market will generally increase. If the predictability for the S&P 500 is relatively weak, then it is important to be cautious, as the algorithm is unconfident about the direction of the stock market.

Q. Which time horizons should I follow?
A. The longer-term forecasts (1-month and 3-month) tend to have higher predictabilities as the algorithm can more easily spot long-term trends. We suggest following these two-time horizons the most closely, but the more reactionary shorter-term horizons are helpful in understanding the short-term volatility of the market. Perhaps if you see that a stock with a strong, positive 3-month prediction has a negative short-term forecast, it is a good idea to wait until the stock decreases in value before buying it.

Q. How should I use the predictabilities 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.
Get Access to the Latest Heatmap + Daily Market Forecasts!

Commodities, Gold & Currencies

Gold Outlook:
Returns up to 0.93% in 7 Days

April 14 | Read More

Commodity Outlook:
Returns up to 139.07% in 1 Year

April 18 | Read More

Exchange Rate Forecast:
63.46% Hit Ratio in 1 Year

April 11 | Read More
Gold Price Prediction:
Returns up to 4.47% in 3 Days
April 18 |
Read More

Currency Forecast:
61.54% Hit Ratio in 1 Year
April 13 |
Read More

Commodity Price Forecast:
Returns up 4.17% in 7 Days
April 18 |
Read More
Find The Latest Top Commodities and Currency Pairs With AI Insight

Weekly Apple Stock Update

In this week’s Apple stock news, Apple has confirmed that they will be holding a special “Spring Loaded” event on April 20. Apple usually conducts its hardware launch event in the month of March. Earlier, Apple’s virtual assistant Siri leaked the date for the event when asked by iOS users.

Plus, according to a report by Bloomberg, Apple is working on a product that would combine an Apple TV set-top box with a HomePod speaker and include a camera for video conferencing through a connected TV and other smart-home functions.

Finally, according to MacRumors, the upcoming 2022 iPhone lineup will feature two 6.1-inch devices and two 6.7-inch devices, with no mini-sized 5.4-inch ‌iPhone. The info was obtained in a note to investors from well-respected Apple analyst Ming-Chi Kuo. Two of the iPhones will be high-end models and two of the iPhones will be lower-end models, similar to the current iPhone 12 lineup.

Read more.
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