Stocks Under 5 Based on Machine Learning: Returns up to 76.72% in 3 Days
Tech Stocks To Buy Based on Algorithmic Trading: Returns up to 92.73% in 7 Days
Pharma Stocks Based on Predictive Analytics: Returns up to 68.97% in 14 Days
Stocks Under 5 Dollars Based on Predictive Analytics: Returns up to 70.12% in 1 Month
Hedge Fund Stocks Based on Stock Prediction Algorithm: Returns up to 293.27% in 3 Months
Strong Buy Stocks Based on Deep-Learning: Returns up to 205.69% in 1 Year
Denbury (DEN) Stock returns up to 93.47% since January 24, 2021, as the oil and gas industry started to recover from the Covid-19 pandemic.
Nvidia (NVDA) Stock returns up to 145.86% since June 24, 2020, as it's gaining rapid expansion in data center revenue, while still gaining market share in GPU sales.
Align Technology (ALGN) Stock returns up to 98.95% since July 31, 2020, as once normalcy has begun to come back, Invisalign is having a higher demand than ever before.
Stock Market Forecast for Major US Indexes Reaches 90% Accuracy Despite Market Volatility
In this evaluation report, we examined the stock market forecast for indexes to assess the performance of the predictions generated by the I Know First AI Algorithm. It was made for the top US stock market indexes – S&P 500, Nasdaq, Dow Jones Transportation Index, and Russel 2000 – with time horizons ranging from 3 days to 365 days, which were delivered daily to our clients. Our analysis covers the time period from 18th January 2020 to 18th May 2021. Below, we present our key takeaways for checking the hit ratios of our stock market predictions.
We have achieved great results particularly by forecasting the Nasdaq and S&P500 and the corresponding ETFs (QQQ and SPY) with a hit ratio up to 100% under the current COVID-19 situation. Moreover, we confirmed the predictive abilities of our proprietary AI algorithm to predict direction for smaller capitalization companies cluster and the transportation industry which is extremely important for investors to navigate through times of US economic recovery. This indicates that our forecasts were able to indicate the future movement of these indexes correctly across all time horizons. I Know First’s research team will continue to monitor the algorithm’s performance and derive relevant insights that will help provide the best algorithmic trading solutions to our clients.
The ability to successfully and consistently predict the stock market is, obviously, a gold mine that technologists have been working towards for many years. Thanks to recent rapid developments in deep learning algorithms, more individuals and companies can rely on stock market forecasting from artificial intelligence, as the technology has begun to predict better than the pros.
I Know First is a fintech company that brings science and math to the financial world by providing daily investment forecasts, based on an advanced self-learning algorithm. These algorithmic forecasts are used to identify the best investment opportunities, develop systematic trading and allocation strategies, and monitor current portfolio holdings.
We asked Yaron some questions to learn more about their applications of AI in the financial sector.
Stock Filtering by the I Know First Signal and Predictability Indicators
In the following we expand on research performed in previous articles by further exploring the effect and interpretation of the I Know First prediction measures and how these can be used for stock filtering. The analysis shows that as predictability and signal strength increase the average trade returns based on these indicators grow in a consistent, significant, and robust manner and that by daily selecting stocks with the highest predictabilities and signals average returns significantly above those of the S&P500 Index can be achieved.
Overall the analysis shows that the mean returns per trade and the mean return per trade to standard deviation ratio consistently grow with the I Know First indicators as the highest returns are achieved by using the highest signal-predictability combination. Moreover, returns significantly above the benchmark can be attained by daily filtering stocks for these highest combinations of the I Know First indicators.
Differences in the concepts of randomness and chaos are crucial in our abilities to make predictions about a system with such properties. A random system is unpredictable, as a given outcome does not rely on any previous event. A coin that is tossed seven times in a row, landing on heads each time, can be tossed an eighth time and the probability that it will land on heads again is still only 50%. Such stationary processes do not have a change in statistical properties over time and, therefore, cannot be predicted.
Due to the complicated nature of modeling chaos using statistics, scientists look to computers to solve these types of problems. Artificial intelligence and machine learning have proven to be incredibly successful in modeling chaotic structures and ultimately in making predictions about these systems.
Most financial time series exhibit classic chaotic behavior, so it is possible to make predictions about their future behavior using machine learning techniques. This artificial intelligence approach is at the root of the I Know First predictive algorithm.
OCGN Stock Forecast: Covaxin’s FDA Status Marks the Future
Ocugen Inc. is a clinical-stage biopharmaceutical company that focuses on developing gene therapies to cure blindness diseases. Last month Ocugen announced that its co-development partner, Bharat Biotech International Limited shared positive results from the second interim analysis of its Phase 3 clinical trial of Covaxin showing 78% overall efficacy against COVID-19 disease, 100% efficacy against severe COVID-19 disease (including hospitalization), and 70% efficacy against asymptomatic COVID-19 infection, indicating the potential to significantly reduce virus transmission.
I take the buy-side on OCGN stock because it has strong potential, especially with regards to the Covid-19 vaccine partnership with Bharat Biotech. It is reasonable to expect further growth of OCGN stock price as the advancement in clinical trials and the Covaxin deal will have a direct impact on the revenue.
Do you know what is the best day of the week to invest? Yes, there are some days better than others.
Taking the S&P 500 daily returns from this year, we could measure when we have higher yields. In fact, the research showed us that Friday, by average, is the best day to invest, while Wednesday is the worst. So should I buy stocks only on Wednesday and hold them until Monday?
If you use our predictive algorithm forecasts, the answer is no.
A performance report conducted between 2019 and 2020 indicated that the algorithm generated positive results no matter the day of the week. In all of them, the algorithm consistently outperformed the benchmark, providing better results in all time horizons. The outperformance is more evident in the short-term, where all the returns were higher than the S&P 500 in the same conditions.
Even though the report doesn't englobe 2021, we can see by our packages how the AI is providing better results than the S&P 500.
In the Stocks Under $5 package, the AI provided investors an outstanding average return of 19.85% in a 3 days span. At the same time, the S&P 500 generated a loss of 0.35%. ARPO and PDSB were the highlights with yields of 76.72% and 52.73% respectively.
The Tech Stocks package had also excellent results. On a 7 days horizon, the package average was 18.10%, almost nine times the 2.36% return from S&P 500. Our algorithm correctly predicted the 92.73% overall yield from MOXC.
Considering a timeframe of 14 days, our AI still excelled in the Tech Stocks package. The package’s overall average return was 16.07%, providing investors with a 16.27% premium over the S&P 500’s return of -0.2% during the same period. MOXC was again the biggest return, this time with a 135.93%.
Also in a longer timespan, the Stocks Under $5 was still able to make investors profit. The package average in a 1 month time horizon was 26.46%. Again an excellent return at the same time the S&P 500 registered a mere 0.51% yield. SB's 70.12% and WRN's 58.91% were notable returns and highlighted the package.
Our algorithm proved that you can boost your portfolio no matter which day of the week you invest. You can click here and get access to all packages we offer.
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 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).
In this week’s Apple stock news, Apple has announced a big batch of new accessibility features across multiple products and services. The features are designed for people with mobility, vision, hearing, and cognitive disabilities. In support of neurodiversity, Apple is introducing new background sounds to help minimize distractions, and for those who are deaf or hard of hearing, Made for iPhone (MFi) will soon support new bi-directional hearing aids.
Also, according to a report by MacRumors, before the public releases of iOS 14.6, iPadOS 14.6, tvOS 14.6, watchOS 7.5, and macOS Big Sur 11.4, Apple has seeded a new series of developer betas including iOS 14.7, iPadOS 14.7, tvOS 14.7, watchOS 7.6, and macOS Big Sur 11.5. The latest builds of each operating system can be acquired from the Apple Developer Center for devices enrolled within the testing program and via an over-the-air update on hardware already using beta software.
Finally, according to a report by Macworld, a new rumor from prolific leaker Jon Prosser suggests that the Apple watch might get a major redesign. According to Prosser’s sources, the Apple Watch Series 7 will feature design language that falls in line with Apple’s other recent products, including flatter edges and a new green color.