Facebook Stock Forecast: Why Facebook Deserves A Price Target of $430

motek 1The Facebook stock forecast was written by Motek Moyen Research Seeking Alpha’s #1 Writer on Long Ideas and #2 in Technology – Senior Analyst at I Know First.

Summary

  • Facebook’s stock price is +55% since my May 24, 2020, bullish recommendation for it. I am again endorsing it as a buy. FB is much cheaper than TWTR and AMZN.
  • The impressive Q2 2021 beat convinced me Facebook’s stock deserves a price target of $430. This is slightly higher than TipRanks’ average PT of $416.07.
  • Q2 revenue was $29.07 billion (+55.5% Y/Y), beats by $1.1 billion. Q2 EPS was $3.61 (+100.6% Y/Y), beats by $0.61. The operating margin was 43%, higher than Wall Street’s expectation of 37.6%.
  • Cheap 5G smartphones and accelerated 5G network deployments are long-term catalysts for Facebook.
  • Facebook Video is now giving YouTube stiff competition in the $70 billion global online video advertising industry.

New forecasting serviceRead The Full Premium Article

Subscribe to receive exclusive PREMIUM content Here

Micron Stock Forecast: Windows 11 And Chia Crypto Miners Are Tailwinds For Micron

motek 1The Micron stock forecast was written by Motek Moyen Research Seeking Alpha’s #1 Writer on Long Ideas and #2 in Technology – Senior Analyst at I Know First.

Summary

  • In spite of the 3-month price slide of -12.18%, Micron’s stock is still +46.7% since my July 28, 2020 buy recommendation.
  • Work-from-home and learn-from-home are still the new normal. More infectious variants of COVID-19 renew the pandemic tailwind for Micron.
  • Nascent Chia cryptocurrency mining is a very promising tailwind for Micron.
  • Windows 11 is a solid tailwind for the server and PC DRAM industry.
  • The low-margin-on-hardware smartphone success of Xiaomi and BBK Electronics is also beneficial to mobile DRAM vendors like Micron.

New forecasting serviceRead The Full Premium Article

Subscribe to receive exclusive PREMIUM content Here

Hello Summer | 15% OFF Every Forecast | Available During the Next 48 Hours Only.

Available during the next 48 hours only, you can enjoy a Special deal with Hello Summer of 15% OFF Coupon for I Know First Algorithmic Forecasts:

Step 1: Enter Your Email HERE 
Step 2: Choose From Our Various Services
Step 3: Enter The Coupon Code IKFSummer Get 15% Off Every Forecast

Apple Stock Forecast: Impressive Q3 EPS/Revenue Numbers Made Apple A Strong Buy

motek 1The Apple stock forecast was written by Motek Moyen Research Seeking Alpha’s #1 Writer on Long Ideas and #2 in Technology – Senior Analyst at I Know First.

Summary

  • Apple’s stock is +14.4% since my December 21, 2020, take-your-profits recommendation.
  • I am AAPL as a buy because of its big beat on Q3 numbers.
  • For its third quarter, Apple’s EPS was $1.30 and its revenue was $81.4 billion. These figures top Wall Street’s estimates of $1.01 EPS on sales of $73.5 billion.
  • Stronger sales and growing net income fortify Apple’s eight consecutive years of dividend growth.
  • The more infectious variant of the COVID-19 virus is an indirect tailwind to Apple’s Services business. The Services segment’s Q3 revenue was $17.5 billion (+32% Y/Y).

New forecasting serviceRead The Full Premium Article

Subscribe to receive exclusive PREMIUM content Here

KODK Stock Forecast: The $400.46 Billion Commercial Printing Industry Is A Tailwind For Kodak

motek 1The KODK stock forecast was written by Motek Moyen Research Seeking Alpha’s #1 Writer on Long Ideas and #2 in Technology – Senior Analyst at I Know First.

Summary

  • KODK’s stock has downward momentum but I Know First’s AI-powered stock prediction algorithm is bullish.
  • I prioritize I Know First’s algorithm over the pessimistic emotions of investors who have been pummeling KODK’s price down for the past 6 months.
  • Kodak does not need any U.S. government loan to expand to pharmaceuticals.
  • Kodak can survive and prosper solely on its core printing and chemicals businesses.
  • Bad management does not make Kodak a bad company.

New forecasting serviceRead The Full Premium Article

Subscribe to receive exclusive PREMIUM content Here

Recommended Stocks based on Artificial Intelligence – 2021

Royalty-free artificial intelligence photos free download | Pxfuel
(Source: Pxfuel.com)

Every six months we issue a one-time forecast for half a year. The report includes our recommendations for a broad range of financial assets for a period of 6 months ahead: Recommended Stocks for US market; European market; ETFs; Commodities market; Currency and Cryptocurrency markets.

At the end of the previous year (2020) the artificial intelligence algorithm located the most recommended assets for the first half of 2021 in the capital market. The properties were marked by the prediction algorithm according to the signal and predictability. Signal – represents the

Read More

The AI Book: Featuring I Know First’s Yaron Golgher, Dr. Lipa Roitman, and Denis Khoronenko

On December 30, 2019, I Know First published an article covering the continued work of the I Know Firsts team, Yaron Golgher, Dr. Lipa Roitman, and Denic Khoronenko, as they write a chapter to be published in The AI Book. This book aggregates multiple expertise through crowd-sourced experts into a uniform volume that enforces the significance of artificial intelligence and how it can be utilized amongst financial services. 

With great pleasure, we can announce the chapter titled “Finding Order In The Chaos: Investment Selection Using AI” has been published alongside various prominent

Read More

What Is An Artificial Neural Network And How I Know First Is Using It?

The article was written by Hieu Nguyen, a Financial Analyst at I Know First.

Artificial Neural Network and I Know First

Summary:

  • Artificial Neural Network Definition – word by word
  • How does Artificial Neural Network work?
  • Application of ANN in real life
  • How ANN transforms the financial market?
  • Artificial Neural Network and I Know First

You come to the office today like every other day, sit down, grab a cup of coffee, and start reading the news. The more you read, the more you realize there are some words that show up more often “Artificial Intelligence”, “Artificial Neural Network”, “Deep Learning”. A decade ago, no one talked about these concepts. You start to ask yourself “What is all of these?” How’re they going to change my world?”

Artificial Neural Network Definition – word by word

Undoubtedly, Artificial Neural Network (ANN) has turned the page of the computer science. Let’s first understand what ANN is.

Network refers to “a system consisting of many similar nodes that connect together by edges to allow movement or communication between or along parts”. One of the most common example of network is the World Wide Web. Web pages represent the nodes and the hyperlinks between them represent edges. As a result, one page can link the one other using the hyperlink. Another example is our social network. Everyone is a node and our relationship are the edge that connect us.

Neural Network: similar to other networks, neural network consists of nodes that connect with each other. The phrase was first used in neuroscience to describe how our brain, the most sophisticated system in the world, works. Our brain has about 100 billion neurons, connecting with each other by synapses. In fact, a child’s brain has a quadrillion of connections, 10 times the connections of the entire Internet. As we grow up, our brain starts pruning the unnecessary connections and strengthening the others. Thus, we are able to learn new things of the world. The same terminology is applied in computer science.

Artificial Neural Network: As we understand more about how effective our brain is in learning new things, scientists have developed the artificial neural network that replicates our brain. Artificial Neural Network has changes the whole computer science industry from a conventional computer to an artificial intelligence computer. Thanks to the new tech, our computers now can perform sophisticate tasks that have never been experienced before.

(Source: wikimedia commons)

How does Artificial Neural Network work?

Artificial Neural Network consists of three types of layer: input layer, hidden layers, and one or more output layers. The main function of the ANN is to build a model that identifies patterns and makes decisions without human intervention. To perform the task, the raw materials (dataset) is imported to the input layer. Then, the data is passed down to the nodes in each of the hidden layers. Finally, the result will appear in the output layer.

What makes ANN different with the conventional program is backpropagation. This algorithm allows the model to adjust the weight of each node and recognize the most accurate pattern. The precision of the model is presented by a cost function, which is a measure of how wrong the model is in term of estimating the relationship between two variables.

The goal of the backpropagation algorithm is to minimize the “cost” of the model by changing the weight and bias of each node. To do so, we have to calculate the gradient of the cost function, which shows the directions to reduce the cost function the most. After adjusting the weight, the model can recognize an efficient pattern to apply in the future.

Application of ANN in real life

Artificial Neural Network seems sophisticated, but does it really work in real life? You may not realize but the application of ANN is every where around you.

Look at your phone. Siri and Google Assistant is one of the apps that use ANN to recognize your voice command and perform the task. In fact, Google has used 1.2 billion gigabytes of data to train Google Assistant. As a result, Google Assistant now can convert a voice command (input) to a text command (output) and then perform the task.

Another application of ANN is face recognition. It’s such a surprise of how accurate Facebook can recognize our friends in a photo. Currently, the face recognition technology can accurately analyze our emotions. The latest product that includes face recognition technology is iPhone X, whose Face ID can allow us to unlock the phone

It will be unfair not to mention self-driving cars. Thanks to Artificial Intelligence in general and ANN in particular, self-driving car now can find the lane on the road using colors, edges, and gradients. Moreover, the car also uses a deep neural network to draw a boundary with the other vehicles and obstacles on the road and make its own decision of whether to accelerate, break, or turn.

(Source: wikimedia commons)

How ANN transforms the financial market?

Artificial Intelligence and ANN also make a huge difference in financial market. In financial market, the data has been collected decades ago. A large amount of data is truly meaningful to train the model. Currently, many big financial institutions have applied AI in their business

One example is fraud detection using by credit cards companies. Late last year, Mastercard introduced a new security platform, Decision Intelligence, that uses AI to improve the accuracy of real-time approvals. The new platform will reduce the fraud probabilities. Hence, it not only reduces the loss on fraud, but also promotes customers to purchase more often.

Besides that, banks are also using AI to predict which customers have higher probability of default or cancel service. Moreover, Bank of America also launches an AI bot on the smartphone app to learn about the customer behaviors and offer suitable financial services.

ANN and I Know First

Although there are a lot of applications of AI and ANN both in real life and in financial market, there has not been a true model that has been effectively built to forecast the market. Many may believe that it is impossible to predict the market, it may turn out to be the opposite with I Know First’s algorithm.

We truly understand that stock market is a chaotic process, which is predictable, rather than a random process. The stock market is driven by three paradigms: Stability, Memory, and Sudden and Drastic Changes. Details are discussed in “Machine Learning Trading, Stock Market, and Chaos”.

Understanding the underlying concepts of the stock market, Dr. Lipa Roitman, the founder and CTO of I Know First, then developed a predictive algorithm based on Artificial Intelligence and Machine Learning with elements of Artificial Neural Networks incorporated in it. The model is trained with 15 years of historical data as well as real-time data. Then I Know First will test the prediction algorithm on years of market data, and validate them with the 2-month recent data to avoid overfitting. Every day, new data is recorded and the system will adjust itself based on the results that it achieved in the past and the new inputs.

For 5 years, I Know First’s algorithm has proved its effectiveness in beating the stock market. The success of I Know First one more time proves how Artificial Intelligence is changing our life as well as the financial market.

To subscribe today and receive exclusive AI-based algorithmic predictions, click here

Pages:1234567...28»