I Know First Weekly Review Algorithmic Performance: November 2nd, 2020

I Know First
Weekly Newsletter | November 2nd, 2020

Good morning, I Know First universe.
We’re happy to share our best article and stock prediction of the week:
  • Top Trade Ideas – Implied Volatility Based on Machine Learning: Returns up to 77.53% in 1 Month
  • Top Featured Article – FedEx Stock Prediction: A well-Positioned Business with Further Upsides Haven’t Been Priced In
★Top 10 Stocks to Buy Before US Election + Top 10 Stock Picks For November 2020 Based on AI-Powered Predictive Algorithm★

Need To Know First!

  • Best Stocks To Short Based on a Self-learning Algorithm: Returns up to 39.81% in 3 Days
  • Best Biotech Stocks Based on Data Mining: Returns up to 34.54% in 7 Days
  • Stock Scanner Based on Stock Market Algorithm: Returns up to 90.36% in 14 Days
  • Options Predictions Based on Deep-Learning: Returns up to 142.92% in 3 Months
  • Stock Screener Based on Big Data: Returns up to 547.12% in 1 Year
  • Qualcomm (QCOM) Stock is up 33.97% since July 29, 2020 as is a solid 5G bet and has the option to re-enter the data center/cloud computing business.
  • Google (GOOGL) Stock returns up to 18.8% since June 28, 2020 as growing socio-political headwind of Facebook set to benefit search and mobile advertising businesses of Google.
  • ServiceNow (NOW) Stock is up 17.66% since June 15, 2020 as ServiceNow revenues are increasing and Zoom adopted the NOW platform and customer service management system.

Weekly Winning Forecasts

3 Days
Aggressive Stocks: 14.13% Average
Stocks Under $10: 26.06% Yield
Stocks To Short: 17.0% Return
7 Days
High-Risk Stocks: 19.1% Average
Biotech Stocks: 34.54% Yield
Top Stocks Picks: 14.53% Return
14 Days
Low P/B Stocks: 13.39% Average
Aggressive Picks: 90.36% Return
Exchange Rate: 69.23% Hit Ratio
1 Month
Implied Volatility: 27.79% Average
52 Week Low Picks: 90.39% Return
High Dividend Stocks: 29.37% Yield
3 Months
Low P/B Picks: 76.76% Average
Options Forecast: 142.92% Yield
Top Retail Picks: 135.47% Return

1 Year
Insider Trades: 107.26% Average
Low P/E Stocks: 449.13% Return
Best Pharma Picks: 313.96% Yield
☆ 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

FedEx Stock Prediction: A well-Positioned Business with Further Upsides Have Not Been Priced In

FedEx(FDX) stock price gained more than 60% in the past three months, outperforming S&P 500 at 5% and the overall transportation industry at 25%, respectively, representing positive stock idiosyncrasies support a bull FedEx stock forecast in the following year.

We believe that the valuation results presented in the article and supported by our AI predictive algorithm reflect the huge potential in the intrinsic value of FedEx stock as the amazing upside opportunities are coming up due to COVID-19 vaccine development. Along with the universal usage of the e-commerce platform, the demand for package delivery will be brought to the next level in the nearest future. Finally, FedEx’s obsession with operating development and strategic initiatives will add more flavor to the long-term growth at the company level making it worthy to buy.

Read more.

Aggressive Stocks Predictions: Real-life Success Story Amid Market Chaos

Have you ever imagined 2020 to be that risky and aggressive stock strategies to become popular more than ever before? Looking back to January 2020, many market players now are not feeling well about diversification or following the Wall street gurus’ strategies, like Warren Buffet, who invested for the long term into ‘real’ economy sectors. While the whole world was going into closures and various economy sectors were seizing operations in March, we at I Know First were perfecting our AI predictive algorithm to identify the coronavirus stock market opportunities for our investors who were seeking insights on their options for next moves.

Aggressive stocks – one of the most promising and at the same time risky sides of the stock market became demanded extremely fast as a result of the above. These high-risk, high-reward stocks can potentially produce higher returns than conservative and other types of stocks but also has equal potential for bigger losses. Still, many investors already accepted the new reality of highly volatile markets and seek to employ the latest technologies, such as AI and deep learning, to enable smart investment and maximize gains. We invite you to read the full article to explore the success story of our client that trusted AI stock picks and outperformed the market more than 7 times.

Read more.

Algo Trading and Market Volatility

Nowadays, stock markets worldwide are unpredictable more than ever before. At these times, the markets get chaotic and stocks become volatile. No doubt, trading stocks in such conditions can be risky, but there are technologies and ways to mitigate the risk. One of them is algorithmic trading which is becoming so advanced that it is possible now for these algorithms to sustain significant market drops as the processing capabilities of our computers advanced extremely over the last 2 decades. One of the main questions that many investors ask themselves – who knows the market better now, humans or AI?

We at I Know First believe that nowadays, the predictive power of AI provides the ability to forecast the stock market movements with significant accuracy. As such, our study featured on MarketWatch showed that our proprietary AI stock algorithm can predict the S&P 500 and NASDAQ indexes with an accuracy of up to 72%. The algorithm has been consistently delivering forecasts with high precision to our investors providing higher than 60% accuracy for all time horizons even amid coronavirus times. Therefore, our team strongly believes that the success lies in the symbiosis of lighting speed of algorithmic trading, empowered by the predictive forces of AI.

Read more.

AI vs Technical Analysis: Can AI Improve Your Stock Trading Strategies?

Technical analysis has been a method of evaluating securities using only the stock’s price and volume for a long time already. The key assumption of the approach is that all known fundamentals are factored into the stock price and paying any attention to them will be needless. Although such an approach simplified life for many traders, with time passing by it increasingly suffered from the critique – the stock price may be lagging from the true value, especially during times of market uncertainty. As such, today we observe that stock price forecasting requires way more than human regular capabilities to digest and understand the single stock price patterns – it requires the ‘helicopter view’ on the whole market, and even systems of markets, to spot and take into account more stock price drivers for each of the stocks.

One of the well-known recent examples is that in February 2017 Goldman Sach’s New York headquarters cut 600 traders and replaced them with some 200 computer engineers who are overseeing automated trading programs. Since then, Goldman Sachs has pushed automation for currency trading, and consistently identified – four traders can be replaced by one computer engineer. Surely, Goldman Sachs must have thought this through, before this layoff of traders to get more Artificial Intelligence (AI) driven traders. They must have known something.

Read More.

Stock Market Forecast: Chaos Theory Revealing How the Market Works

A common perception of markets is that they are extremely hard to predict. However, chaos theory together with powerful machine learning algorithms prove such statements are wrong. We at I Know First see markets as chaotic systems with complex dynamics that need to be addressed quantitively to make predictions with certain precision that can enable properly informed investment decisions. Using these predictions generated by our state-of-the-art AI predictive algorithm together with a careful risk management strategy can empower investors with a strong competitive advantage.

It is also not true that stock markets are completely chaotic – otherwise big trading houses such as Goldman Sachs would not be able to profit consistently. Where is the truth then? The complexity theory gives us an answer – markets are complex and chaotic systems, and their behavior contains both a systemic and a random component. Therefore, we can produce pragmatic stock market forecasts with specific statistics approaches in place to ensure our confidence in them.

Read More.

Want to learn more?

Letter from the CEO

Dear Readers,

The last week brought to us a lot in terms of spiked market volatility and bearish sentiments. The VIX index has jumped in recent days and is currently at a level of 38 points, while the market has dropped significantly this week in accordance with our recent algorithmic forecast. Moreover, oil kicked off promising to be a turbulent week of trading by plunging to a five-month low as a continued increase in Libyan crude production coincided with a wave of new virus-lockdown measures in Europe.

As many of you navigate through the market uncertainty using our AI-powered predictions, we at I Know First continue to monitor the algorithm’s output accuracy. We are happy to confirm that our predictions on the main volatility indexes, such as VIX, VXO, and VXD, that we generated over the last couple of weeks prove to be accurate and may have helped many of you to secure your investment decisions. This comes right after our recent success case study us predicting the major US market indexes, which are featured by our world indexes package among more than 60 global indexes. The research was featured by MarketWatch and showed that forecasts generated for the S&P 500 and NASDAQ indexes, as well as for their respective tracking ETFs, were highly accurate from March 2019 until nowadays. To quickly remind, we were able to achieve amazingly high predictions accuracy up to 72% sending a clear message – the volatility does not necessarily mean unpredictability.

Another interesting point that we want to highlight is that a recent analysis conducted by by Bloomberg showed that based on the last 30 years data since to the present, instances of VIX being above 30 were correlated with the S&P 500 index achieving a positive return in 88% of cases in the following year with an average return of some 20%.

Will the market jump back this time as well? How long will the volatility persist and will it get worse? Is this an opportunity or should investors rush towards safe-haven assets like gold? What is going to be the outcome of the elections All of these questions are on the table now and many people try to figure out the right strategy. We at I Know First believe that the best investment decisions and strategies rely on objective and quantitative predictions. These are not just words, but facts – we invite all of you to explore the success story of one of our happy clients, who outperformed the market more than 7 times through aggressive stocks solely relying on our AI-driven stock predictions.

The I Know First Predictive Algorithm scans various stock market sectors and diverse investment universes generating stock predictions for the extensive number of packages we offer for purchase on our site. Get the top ten opportunities for long and short today!

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 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 Heat Map on the left side of the Market Forecast/Performance screen?
A. The left-hand side of the Market Forecast/Performance screen is the algorithm’s stock predictions for the given time horizon. The algorithm sorts through two hundred of the most predictable stocks and sorts them by the predicted strength of their movement (signal); those on top are forecasted to rise the most and those on the bottom are predicted to fall the most.

Q. What do the colors indicate?
A. The green boxes signify long predictions and the red boxes signify short predictions. The bright shades denote the strongest predictions.

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.

Get Access to the Latest Heatmap + Daily Market Forecasts!

Commodities, Gold & Currencies

Gold Based on Deep Learning:
Returns up to 1.77% in 3 Days

November 1 | Read More

Commodity Futures Based on AI:
Returns up to 25.23% in 14 Days

November 1 | Read More

Commodity Futures Based on AI:
Returns up to 30.63% in 1 Year

November 1 | Read More

Currency Prediction by AI:
69.23% Hit Ratio in 1 Month
October 28 |
Read More

Exchange Rate Forecast:
69.23% Hit Ratio in 14 Days
November 1 |
Read More

Currency Forecast by AI:
69.23% Hit Ratio in 1 Month
November 1 |
Read More

Find The Latest Top Commodities and Currency Pairs With AI Insight

Weekly Apple Stock Update

This week’s Apple Stock News discusses Apple quietly building a rival to Google, the recent $50 million deal acquiring a self-learning video AI startup, and Apple finally reaching 1 billion active iPhones. Last, but not least there is an Epic VS. Apple case legal update.

A new report by Business Insider and the Financial Times claims that Apple is quietly building a rival to Google’s search engine. In iOS 14, the latest iPhone operating system Apple now shows its own results when users search on their home screen. Clicking on links takes users directly to the website in question, rather than through another search engine.

According to Bloomberg, Apple acquired a startup specializing in advanced artificial intelligence and computer vision technology that may help the iPhone maker improve its own AI across a number of apps and services. Barcelona-based Vilynx Inc. developed technology that uses AI to analyze a video’s visual, audio, and text content to understand what the video shows.

According to Above Avalon, a crowd-funded platform tracking Apple’s performance in the smartphone market since the first iPhone in 2008, Apple surpassed the billion iPhone users milestone last month. While sales have dipped twice (first after the holiday period in 2015, second after the holiday season in 2018), estimates are that Apple will manage to reach nearly 250 million sales in Q4 2021 – the current number is around 200 million per quarter.

According to The Verge, Epic Games fired back against Apple yet again in a new court filing, saying Apple “has no rights to the fruits of Epic’s labor,” as the ongoing battle between the two companies continues. In Friday’s filing, Epic said its actions “are a far cry from the tortious—even purportedly criminal—conduct that Apple’s Opposition depicts. Simply put, Epic did not “steal” anything that belonged to Apple.” The company couldn’t “steal” proceeds from the sales of its own creative efforts, and did not “interfere with any prospective economic advantage Apple sought to gain from Fortnite users separate and apart from their interest in Fortnite,” the filing states.

Read more.

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