I Know First Weekly Review Algorithmic Performance: May 13, 2019

I Know First Weekly Newsletter
Investment Selection Using AI Predictive Algorithm
May 13, 2019

This Week’s Top Article:
Algorithmic Trading: Beating
The Challenge Of Investing
Read More | Related News

This Week’s Top Stock Prediction:
Impressive AI Based Forecast
Undervalued Low P/E Stocks
73.83% Return | 7 Days

This Week’s Highlights







Using New Technology To Solve The Challenge Of Investing
Value investing time and time again has been the only well-known strategy to out-perform the market. The strategy however, is not as simple as plugging in financial data into a formula; it requires a significant amount of discretion and discipline in order to emulate Graham’s idea. However, this strategy is slightly outdated and, therefore, it does not fully take into account new technologies and how they might affect the underlying theory of value investing.

There is clearly still a place for value investing in the financial market, as value-based investors continue to show success. However, there has emerged a new type of investment strategy that uses computers, statistics, and complex algorithms in place of the thorough human analysis like that done by value investors. I Know First’s algorithm uses a machine learning algorithm that uses thousands of indices including stocks, commodities, and currencies from around the world to identify opportunities for investors.
Read more.

Artificial Neural Networks And How I Know First Utilizes Them
As more and more companies utilize AI, more and more technical words are becoming more commonplace. In our forecasts, you probably see us use the term “artificial neural network” often. So what actually is an artificial neural network (ANN) and how does I Know First use them in our forecasts? Artificial Neural Networks mimic the way brains function. ANNs consist of nodes that connect with each other and as movement between nodes is repeated, these connections are strengthened. Thanks to the new technology, computers now can perform sophisticated tasks that were previously incapable of.

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 validates 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.
Read more. 

Quant Trading: How To Make A Systematic Trading Strategy
Allocating your portfolio in a way that maximizes returns and minimizes risk can be tricky. In order to reduce volatility, high yield strategies are often ignored. In theory, if you were able to pick one stock a day you were most certain will go up – in order to maximize expected returns you would only invest in that stock. The downside, of course, is also maximizing your risk exposure.

While we have discussed this in articles before, we want to make it as easy as possible for you to implement our machine learning algorithmic forecasts into your portfolio, so we’ve created a video that shows you how to go about this. The video goes through a method of allocating funds using the I Know First artificial intelligence system. This will link between algorithmic signals, and actual market buy/sell decisions. If you’re interested in finding new ways to apply I Know First’s Daily Market Forecasts to your portfolio, check it out!
Read more.

Stock Market Algorithm: What-If Analysis Response Modeling
Most people are familiar with the Butterfly Effect, the concept that each action no matter how small has the potential to set off a chain reaction that can have far-reaching consequences. Artificial intelligence machines that are developed to model and make predictions on complex systems, like the stock market, must consider the possibility of any event occurring that can alter the outcome of the system on the following day, and in the following weeks, months and even years.

Investors use algorithmic tools, in addition to fundamental analysis, to determine the best market opportunities and to know when is the best time to enter or exit the market. Another possible way of analyzing the market and forecasting future market conditions is called scenario analysis, or what-if analysis. Rather than analyzing the market and producing one output, scenario analysis aims to examine multiple possible outcomes along with the probability of each scenario. This allows investors to determine the risk involved in a particular investment by revealing the variance in end results based on the probability of fluctuating factors.
Read more.

Shopify Stock Prediction: In A Gold Rush Sell Shovels
Amazon recently shut down its attempted Shopify competitor Webstore and instead integrated Shopify because Shopify is the leader is the lading multi-channel commerce platform. Merchants use Shopify to design, set up, and manage their stores across multiple sales channels, including mobile, web, social media, marketplaces, brick-and-mortar locations, and pop-up shops. The platform also provides merchants with a powerful back-office and a single view of their business, from payments to shipping.

As the leader in its field, Shopify is in prime position to benefit greatly from the once in-a -lifetime and accelerating transfer of value away from bricks and mortar shopping to the conveniences of online commerce. Shopify’s global expansion has a long runway of growth ahead. Geopolitical macro trade developments are providing an attractive pull back buying opportunity.
Read more.

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Dear Readers,

This past week has not been amazing for the markets, however, this does offer investors a chance to do something they haven’t been able to in a while: buy in to popular stocks during a dip. This increases the potential returns of these high growth stocks. The dip was caused with increasing trade tensions with China, however, the stocks quickly bounced back as investors took advantage of the opportunities in front of them. You too could pounce on these stocks by utilizing our machine learning daily market forecasts.

For example, are you wondering if it’s the time to buy or sell top stocks like BABA, NVDA, and Walmart (WMT), you can check with our artificial intelligence based algorithm. Additionally, make sure to keep a close eye on I Know First this week. We have some super exciting news we can’t wait to tell you that we’ll be announcing this upcoming week, so be sure to watch out.

Warmest Regards
Yaron Golgher, Co-Founder and CEO


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