Artificial Intelligence Stocks Based on Machine Learning: Returns up to 9.62% in 3 Days
Best Automotive Stocks Based on Data Mining: Returns up to 51.88% in 7 Days
Top Stocks Based on Data Mining: Returns up to 18.36% in 14 Days
Top Stock Picks Based on Deep-Learning: Returns up to 19.98% in 1 Month
Best Sustainable Companies Stocks Based on Algorithmic Trading: Returns up to 47.22% in 3 Months
Strong Buy Stocks Based on Big Data Analytics: Returns up to 196.15% in 1 Year
Marathon Digital (MARA) Stock returns up to 13.20% since September 2, 2021, since they recently acquired more than 21,500 ASIC Miners from Bitmain.
Alcoa Corporation (AA) Stock returns up to 25.84% since August 29, 2021, as it is one of the most efficient companies with profit generation ability from the equity in the Metals and Mining Industry.
eXp Holdings (EXPI) Stock returns up to 45.16% since July 15, 2021, as the company’s emphasis on technology gave it a competitive advantage throughout the pandemic.
TMO Stock Forecast: The World Leader in Serving Science
Thermo Fisher Scientific Inc. (NYSE: TMO) is a global leader in Scientific services, founded in 1896, with more than 90,000 employees, and provides its customers with life science solutions, analytical instruments, specialty diagnostics, and laboratory products and services.
As a global leader in medical technology, Thermo Fisher Scientific continues to enjoy strong growth this year, In Q2 2021, Thermo Fisher Scientific’s sales increased 34.06% compared to Q2 2020, 9.4% higher than its competitors.
TMO is a strong buy stock, it is a stable and powerful technology stock with good management and a strong financial position, which is reasonable for long-term holding. The dark green for the 1-year forecast is a strong bullish signal. With the continuous worldwide capital expansion and strategic deployment of the company, it will further seize market share and bring more potential power for stock appreciation.
Big Tech Stocks: AI Outperforms S&P 500 by 15.74% with an Accuracy of 98%
The purpose of this Big Tech stocks forecast report is to present the results of the live forecast performance evaluation for the Big Tech stocks package by the I Know First AI Algorithm. The results were observed when a signal filter was applied. The evaluation period is from 2nd June 2020 to 3rd October 2021.
From the data, we can observe that the I Know First Algorithm is exceeding the S&P 500 benchmark index across all signal filtering subsets and forecasting periods in most groups. Data show I Know First was able to generate a return that exceeded the S&P 500 return by 15.74% in one year. In the 14-day period, the Top 20 Signals index is 1.65% that exceeds the S&P500 index by 0.52%. Moreover, I Know First has used AI outputs to provide an investment strategy for institutional investors that generated a return of 69.98% and exceeded the S&P 500 return by 26.86% for the period.
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.
I Know First To Democratize AI-Driven Stock Predictions For All
The landscape of investment is a diverse one, with all sorts of actors in the play – from individual investors to pension funds and other institutional investors. What unites them, among other things, is the apparent appetite that they have for AI technology, which has recently been shaking up the financial sector. When it comes to investment specifically, stock predictions AI algorithms trained by investment banks and other big players often end up behind the shut doors, far from the public’s eye. There are those, however, who seek to level the playing field; these include I Know First, an Israel-based AI stock predictions company. With AI having so much to offer to investors, it is up to companies like I Know First to democratize AI for all.
The company has trained a deep learning stock predictions algorithm on a dataset covering 15 years of trading. Its proprietary AI looks at the market from a holistic perspective, looking for trends and patterns in the fresh market data. It models and predicts the price dynamics for more than 10,500 assets, including ETFs, stocks, currency pairs, and interest rates. Drawing upon genetic programming, it goes through a learning cycle on every iteration; in other words, it keeps track of its own successes and failures and re-configures its models to reflect the current state of the market. This feature allows it to adapt to new situations, making sure it will not be completely dumbfounded by a pattern it had never encountered before.
Keep Calm & Trust Your Data: AI And Stock Market Irrationality
One of the most common themes you find in many mythologies across the globe is that of order and chaos. This can be seen as a metaphor for many things, from organic life coming into existence in the primordial broth to the way the first humans explored their environment, rationalizing their experiences in ways that made sense in the existing system of knowledge. Rationalizing is the keyword here: it does not take a stretch of the imagination to view this post-chaos world as being the rational one, the one that makes sense, while its pre-chaos version would be absolutely irrational.
Interestingly, a similar theme of rationality versus irrationality can be noted in the modern debate on what makes the stock markets behave the way they do. Here, rationality is one of the assumptions at the core of the Efficient Market Hypothesis (EMH). The key idea of the EMH is that the stock prices fully reflect all the information available to the investors, and all investors are fully rational in their decision-making. There are various implications and consequences here, all stretching beyond the scope of this article and over the horizon, but what matters for now is this idea of investors as cool-headed number-crunching returns generators.
Recently, we saw stocks from giant tech companies losing value. From September 2 to October 4, Google, Amazon, Facebook, and Microsoft fell 8.9% on average. Since they make up about one-fifth of the S&P 500 value, we can see why the index is struggling to generate positive results.
The companies' earnings are going to be published soon and there are some expectations that the negative trend can still last more time. In other words, this is a very strong opportunity to beat the S&P 500 by doing stock picking by using our AI-powered algorithm.
In the Top S&P 500 Stocks package, the algorithm was able to generate an average return of 8.54% in a 14 days period. This number looks even better when we see that the S&P 500 had a -2.61% return at the same time. MRO and MOS were the package highlights with yields of 15.58% and 12.00% respectively.
For a one-month span, the Top 10 Stocks package was also a highlight. Our AI correctly predicted a 19.98% return from LNG, pushing the overall average yield to 8.37%. Simultaneously, the S&P 500 had a 0.21% loss in this period. In other words, our clients were able to profit at the same time the index was registering a deficit.
In addition to that, we could also observe good performance from other packages.
The 52 Week Low Stocks package in a 3 days time horizon generated a 5.3% average return, implying a market premium of 2.53% from the S&P 500 in the same period. The algorithm forecast accurately a 12.43% return from TREE and 11.33% from JT.
From a 7 days period, the Best Automotive Stocks had excellent results as well. Our AI was able to predict correctly TTM's movement, a 51.88% return. The average yield also beat the S&P 500, a 10.71% versus a 1.71% in the same period.
Considering a 14 days time span, the Top 10 Stocks Package also provided our clients solid results. MRO and EDU moved as predicted by the algorithm, returning 18.36% and 16.1% in the period. The package had an overall average return of 7.87%, providing investors with a 4.07% premium over the S&P 500’s return of 3.8% during the period.
All in all, our predictive algorithm keeps providing investors with several opportunities to profit.
We offer packages for all types of investors. If you are interested in one of mentioned above or other services we offer for the upcoming weeks, you can simply click here and check our products.
Warmest Regards Yaron Golgher
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 S&P 500 stock prediction and why do you include it? A. The S&P 500 is the major US index and is the general indicators 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. What is the accuracy (checks and x marks)? A. If the algorithm correctly predicts the direction of a stock’s movement, a checkmark is placed next to the stock’s return and if the algorithm is incorrect in its prediction, an x mark is placed next to the stock’s return.
Q. What is the return? A. The return is the percentage movement of each stock multiplied by 1 if the algorithm suggested a long position or multiplied by negative 1 if the algorithm suggested a short position. In other words, if the algorithm correctly predicts the direction of the stock, the return is the positive percentage change of the stock, and if the algorithm incorrectly predicts the direction of the stock, the return is the negative percentage change of the stock. The return is the last end of the day price at the target date of the forecast VS the price when the forecast was sent (the end of the day price of the previous day).
This week’s Apple stock news discusses a government power rationing that potentially affected an Apple factory in Jiangsu province in China. More recently, Apple’s supply chain woes have been compounded by a shortage of raw materials for the iPhone. According to Yahoo Finance, Apple had planned to produce 90 million new iPhones in the fourth quarter. However, production is expected to be reduced because its suppliers Texas Instruments (TXN) and Broadcom (AVGO) cannot supply the required number of components.
Plus, Apple will hold an event named “Unleashed” on October 18 at the Steve Jobs Theater on the Apple Park campus in Cupertino, California. According to Yahoo Finance, The new MacBook Pro will come with the biggest change since the current design was introduced in October 2016. In addition to a new design, the MacBook Pro will also bring back an HDMI port and remove the Touch Bar from the keyboard.
Moreover, according to Macrumors, Apple TV+ digital streaming service is expected to have 36 million subscribers by the end of 2026. Apple TV + doesn’t have a competitive advantage on subscribers over its competitors in the streaming industry.
Finally, according to Yahoo Finance, Apple announced its plans for a new regional headquarters on the border of Los Angeles and Culver City last Friday. This new regional headquarters will occupy 550,000 square feet with two office buildings with a shared wall. Environmentally, the office will be powered by 100% renewable energy and will be designed and functional to minimize the building’s impact on the environment.
