Drying Out Dark Pools and Forecasting Trading Volume
Off the books block trades are known as dark pools and are only announced publicly after their completion when the stock price will not be affected anymore. While this type of trading has existed for over 30 years, in the past 15 years it has gained popularity with the development of supercomputers and algorithms that can execute millions of trades in milliseconds based on marginal increases or decreases, also known as high-frequency trading (HFT). As HFT became more and more popular and made bigger and bigger transactions, these block trades would have to be split over multiple exchanges, but the massive quantity of trades would still alert other traders that something was occurring and lead to stock volatility. To ensure liquidity for these large trades, institutions began turning to dark pools to execute this type of large transaction. While it is not very helpful for a common person, dark pools can be extremely beneficial for the parties involved. Primarily, dark pools reduce the impact of massive trades and thus significantly reduce volatility. Not everything about dark pools is ideal; pool participants can also be negatively impacted by this kind of transaction. Earlier this year, the European Commission enacted a new version of Markets in Financial Instruments Directive (MiFID II) with stricter regulations on dark pools. Since being implemented, MiFID II has led to a decrease of dark pool trading as companies are now turning to alternative methods for moving large volumes of stock.
I Know First is currently in the process of adapting its self-learning algorithm to forecast trading volume across future time periods. This will allow subscribers to anticipate large movements in trade volume and beat the crowd. Additionally, it will aid investors in making decisions involving stocks and will allow them to see potential trends in advance. With MiFID II and the SEC considering enacting stricter regulations on dark pools, there will be more transparency about the amount of stocks trading hands and the I Know First machine learning algorithm can become even more accurate with its predictions.To learn more about negative aspects black pools, new regulations on them, and recent dark pool controversies: Read More.
Virtuous Data Economy Cycle Helps Micron Surge, But Cyclical Risk Remains
Micron holds very competitive positions in both DRAM and NAND markets after a series of acquisitions. After acquiring Japanese chip vendor Elpida Memory Inc. in 2013, Micron doubled its share in the market for DRAM (dynamic random-access memory). However, the company still faces competition: while smaller vendors have been driven out, Samsung and SK Hynix maintain a combined market shared of nearly 75%. However, Micron has started to show the largest increase among competitors since the beginning of this year due to new product releases and demand recovery.
NAND is different from DRAM which is a prerequisite to the main memory in PCs, smartphones and mobile devices, NAND (negative AND). As a performance enhancer, NAND helps to increase maximum chip capacity at a lower cost and exhibits a more elastic demand. Industry NAND demand is expected to grow, but prices are forecasted to fall as output grows further. Major rivals like Toshiba and SK Hynix are increasing their production of 64-layer 3D NAND. On top of that, the transition from 32 layers to 64 layers brings significant bit growth, making incremental output into an oversupply situation as the market moves towards equilibrium in this year. Micron is shifting its focus to high-value memory solutions and accelerating the transition to advanced nodes to reduce production costs in anticipation. However, Micron’s revenue is expected to grow at a growth rate well below the market average and the semiconductor market remains susceptible to inventory cycles. To see more competition concerns and the current I Know First algorithm forecast for Micron: Read more.
The AI Renaissance: 5 Top AI Stocks To Consider
Artificial Intelligence (AI) is taking over the world. The once fantastical idea of creating machine learning algorithms that adapt and correct for their mistakes has become a reality thanks to cheaper computer processing chips with more computing power. This technology is applicable in almost all facets of our daily lives and there has recently been a renaissance in which new applications of AI are being imagined and implemented. With the expansion of this technology, the number of stocks with AI interests is growing exponentially and it is becoming harder to tell which AI stocks are worth a buy. So what are some of the top AI companies? Which one’s are the best?
In this article we discuss 5 Top AI Stocks: NVDA, MSFT, YEXT, PFE, and BIDU. We discuss how each company utilizes AI in its products and services, use technical analysis to draw conclusions about each company's future, and then include the forecast for the top stock pick by the I Know First self learning algorithm (which also utilizes AI). To see the full story:Read more.
Winning DEST Forecast: Destination Maternity Makes Over 150% Gains
On March 22nd, I Know First gave a bullish 3 month forecast for DEST. Over that 3 month period, DEST saw a return of up to 161.73%. Destination Maternity Corporation is a maternity apparel designer and retailer that operates over 1815 retail locations in the United States and England. So what prompted these massive gains for the company? It’s because they turned around management and are looking to head in a new direction.
Recently, investors took control of the board of DEST and replaced all four directors. The new board adds diversity to the company as it includes the co-founder of Skullcandy, a clothing analyst, a retail executive, and an investor. Stockholders were satisfied and forward looking with this new board, as stock price rose 6.6%. A week later, Destination Maternity Corp. announced Marla A. Ryan will be taking the position of CEO. Ryan has great experience in the apparel and retail business. Ryan looks to focus on improving shareholder value, accelerate revenue growth, and improve profitability. On top of these phenomenal developments, DEST has a fantastic Q1 that also drove up stock prices: Read more.
AAPL Stock Forecast: Wall Street Was Wrong About The iPhone X
On May 2nd, Apple Inc. released its quarterly report. Apple’s net sales have grown 15.58% quarter over quarter, and 13.85% compared to the last 6 months. A major contribution for the strong growth is iPhone sales. Despite the fact that Wall Street considered the iPhone X to be pricey, its performance is still very impressive. iPhone unit sales increased by only 3%, but thanks to the increase in price, the total sales increased by 14%. Since the iPhone is an integral part of sales, it is important to consider what the future of the iPhone is.
It has been over 7 years since Steve Jobs left Apple with a high bar set for iPhone success. Tim Cook has lived up to the challenge with more people buying the phone every year. However, Unlike the first 4 iterations of the iPhone released under Jobs, since the iPhone 6s, the only major improvements are face ID, a slightly longer battery life in each new version, and improved charging technology. While this may stem from the fact that many improvements have been made to the phone since its inception, consumers have not been shocked by the newest iPhone for a while. Yet, the company still sees strong sales and success when the company releases its newest product every September, highlighting the strong market share Apple maintains as well as its customer loyalty. To see out DCF price target for AAPL, other valuation methods, and the current I Know First Forecast for the company:Read More.
We have been working extremely hard here at I Know First to bring new features and broaden our predictions for our subscribers. We have mentioned plans in the past to forecast liquidity, this week's top article discusses our plans to forecast trading volume, and we have even more in the works. These are all expansions of our current algorithm which focuses only on the financial market. That is why we are so excited to announce our new partnership with KST Medical Group which is our first venture into a new field: the predictive healthcare realm. I met with KST Medical Chairman Chong Han at the I Know First Tel Aviv office to confirm the unprecedented partnership. Together, the companies will work to adapt I Know First’s unique machine learning algorithm to predict heart disease and heart attacks in patients. The algorithm will be able to predict the likelihood of developing cardiovascular disease given the data from an individual’s medical industry. KST will aggregate anonymous medical profiles from the top 1,000 hospitals in China which will allow I Know First to build the relationships between medical factors and heart disease and eventually predict them. I Know First looks forward to expanding its presence in this huge industry with a massive potential for AI application in detecting and treating disease.
Another big development I wanted to tell you about is the I Know First algorithm performance in the Indian stock market. Portfolios utilizing the daily I Know First forecasts consistently outperformed the benchmark (average over all Indian assets). The predictive AI system can be used by investors/traders to make smarter investment decisions by identifying promising opportunities in the Indian stock market and implementing custom screens as overlay to support their research and investment process. We are also starting to work with local partners in India and are expanding our presence in the vast Indian market.
Warmest Regards, Yaron Golgher, Co-Founder and CEO
COMMODITIES - GOLD - CURRENCIES
Forex Forecast: 64.81% Hit Ratio in 3 Days July 1 |Read More
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When Apple Maps was launched in 2012, it was met with nationwide controversy as the GPS service was imprecise and users were ending up at the wrong destination. Apple plans to change this as they have been rebuilding Apple Maps from the ground up for four years. The iOS map app currently uses third party data for mapping, which is unsatisfactory for Apple’s ability to make the best mapping platform possible. Thus, the new Apple Maps will rely on first person data collected from iPhone user data, providing more accurate and precise directions. The use of iPhone data allows Apple Maps to find the quickest routes possible, since it uses user data to locate traffic and how individuals get to their destination. Also, to provide accuracy, the company has deployed Apple vans across the country to take photos and map out roads.
Rebuilding Apple Maps is the only way the company believes it could create the best mapping software possible. Apple SVP, Eddie Cue, stated, “We have been working on trying to create what we hope is going to be the best map app in the world, taking it to the next step. That is building all of our own map data from the ground up.” The new Apple Maps will first be available to San Francisco on iOS 12, followed by a U.S. roll-out.
