Top Stocks Based on Deep-Learning: Returns up to 26.25% in 3 Days
Best Stocks To Buy Based on Genetic Algorithms: Returns up to 31.27% in 7 Days
Top Technology Stocks Based on Data Mining: Returns up to 34.93% in 14 Days
Best Dividend Stocks Based on Genetic Algorithms: Returns up to 44.18% in 1 Month
Stock Market Forecast Based on Algorithmic Trading: Returns up to 36.03% in 3 Months
Best Energy Stocks Based on a Self-learning Algorithm: Returns up to 96.0% in 1 Year
Etsy (ETSY) Stock returns up to 18% since October 30, 2022, as the seller-aligned business strategy and four values-aligned e-commerce marketplaces are boosting its revenue.
Teradyne (TER) Stock returns up to 30.94% since October 16, 2022, as the success of the business strategy makes the company's profitability outstands the industry median.
Gravity (GRVY) Stock returns up to 14.11% since October 3, 2022, since the spread of 5G networks, online games will be the next generation of a method for people to maintain social contact.
TPL Stock Forecast: A Resource-Based Company That Cannot Be Ignored
Texas Pacific Land Corporation (NYSE: TPL) is the corporate successor to the Texas Pacific Land Trust founded in 1888. TPL is one of the largest landowners in Texas and operates two business segments: Land and Resource Management and Water Services and Operations. Its Water Services and Operations segment provides full-service aquatic products. The department also holds royalties on water from its lands.
A positive for Texas Pacific Land is that earnings per share are growing. Even better, insiders are significant shareholders and have been buying more shares. This should prompt emerging investors to do more research or even add the company to watch lists.
Day Trading Strategy: An In-depth Analysis of Realistic Back-Tests
While the I Know First algorithmic predictions for short-term stocks are often utilized for their relevance in timing mid and long-term investments, we back-test their ability to exploit market trends and offer high returns through multiple-day trading models. In this article, we explored one of the I Know First strategies in more detail to better understand the limitations and adjustments needed to implement it most efficiently when live trading.
After identifying specific implementation limitations in trading close to close, we were able to shift our simulation to trade from open to close without significantly impacting the algorithm’s performance. Although the slippage and commissions models reduced our total returns (light blue line to blue), the addition of an intraday means reversion rule allowed us to further leverage the algorithm’s daily predictions. This considerably improved our strategy’s returns, even above the slippage- and commission-free back-test levels. In conclusion, this analysis shows that the presented strategy is practically implementable in real-world day trading and able to yield high returns.
Introducing the new Algorithmic Strategy Interface
I Know First R&D team is happy to announce that we are now supporting a highly interactive user interface to support your strategy and automate processes. This guide will review some of the new features and how to use them.
Many of our subscribers read the article “I Know First Algorithm Performance Analysis (Part 2)” which discussed how to integrate algorithmic signals with market momentum to lower your risk and maximize your returns. Since then we have released various videos and articles discussing this strategy.
Many implemented it, however, were a little deterred by the complexity of it, as it really does require you to follow the price of every recommendation on a daily basis. Our team has tediously been working to integrate a module into excel which would allow you to trade according to the 5 days simple moving average swing model with ease.
Three Ways of Using I Know First AI for Finding Top Stock Picks
I Know First, Ltd. provides daily investment forecasts based on an advanced self-learning algorithm. Our AI algorithm provides different ways of investing in financial markets. Thus, the algorithm provides recommendations for the most promising stocks for six horizons from 3-days to 1-year, which are sent to our clients by e-mail on a daily basis. The algorithm can also help in the analysis of a current investment portfolio.
At I Know First, we use computers, mathematics, and self-learning algorithms to pick stocks. Markets move in waves, and our algorithms are designed to detect and predict these waves. Each algorithmic forecast has many inputs from many different sources, with each input affecting the outcome. The output of each stock is an up or down signal, along with its predictability. The use of mathematics and algorithms eliminates a big problem that all of us share, being emotional. The I Know First algorithm is trained on a historical dataset covering 15 years of trading, it can model and predict the price dynamics for time horizons ranging from 3 to 365 days. Its output is delivered as an easy-to-interpret heatmap with 2 numerical indicators: signal, demonstrating the asset’s performance relative to the other stocks on the forecast, and predictability, which demonstrates how well the algorithm has predicted the asset’s dynamics in its prior forecasts.
Recently, the I Know First AI algorithm suggested Bandwidth Inc. (BAND) as one of the most promising stocks in our Top 5, Top 10, and Top 20 Stock Picks packages on November 6, 2022. In three days the stock increased by 17.86%, in line with the I Know First AI forecast.
The U.S. Housing Market Forecast: Continuous Downturn Followed by A Thaw in 2024
Federal Reserve tightened the monetary policy several times this year, this totally cooled down the housing market in the U.S. NAHB/Wells Fargo Housing Market Index declined continuously for 10 months, will it go worse? How will the current downturn affect the economy? This article states the reason, conduction, and mechanism of the recent housing recession. In the end, the paper provides the U.S. housing market forecast.
I agree with Robert Dietz, a top housing economist, that the housing market is going to experience continuous cooling down during 2023, and then stabilize and grow in 2024. The deficit in single-family housing will show up then, and the town-house construction share is likely to increase due to demand. I Know First provides a forecast package for short-term and long-term periods to help our clients to find the most promising investment opportunities in the U.S. housing market.
In accordance with the positive S&P 500 forecast generated by the AI-powered predictive algorithm before the opening of the week, the S&P 500 closed out its best week since June with a 5.9% jump. The Dow Jones was up 4.1% on a weekly basis, while the Nasdaq advanced 8.1%. The week marked a resumption of a comeback rally for the bear market, which began in mid-October.
At the same time, our algorithm had strong results in several different packages.
In the Top S&P 500 Stocks package, all 10 stock movements were correctly predicted in the 3 days time horizon. The prediction with the highest return was IVZ, at 24.26%. The package itself saw an overall return of 14.77%, providing investors with an 8.25% premium above the S&P 500’s return of 6.52% for the same time period.
Still, in the same time span, the Best AI Stocks saw the algorithm correctly predict a 27.64% return from SHOP, as well as a 25.26% from SQ. The package average yield stood at 19.68%, more than three times the S&P 500 return of 6.52% over the same period. And in the Top 10 Stocks package, BAND was the highest-earning trade with a return of 26.25%, followed by FIVN and LOGI, at 18.15% and 16.22% respectively. The package had an overall average return of 12.56%, providing investors with a premium of 6.04% over the S&P 500’s return of 6.52% during the same period.
For a 7 days period, the Top S&P 500 Stocks package maintained its performance. IVZ's 31.27% was one of all 10 stock movements that the algorithm accurately forecasted. The package had an overall average return of 17.87%, while the S&P 500 had a return of 7.34% during the same period.
In the Computer Industry Stocks package, also in the same time horizon, the algorithm had 100% accuracy. This includes LSCC with a return of 28.31% alongside AMAT and LRCX with 28.08% and 27.3% respectively. The package's overall average return was 21.27%, providing investors with a 13.93% premium over the S&P 500’s return of 7.34% during the same period. And in the Top 10 Stocks package, CGC had the highest trade at 28.27%. The package had an overall average return of 12.0%, while the S&P 500 had a 5.9% return during the same period.
Besides the S&P 500 positive forecast, the currency forecast was supporting the “risk on" environment. As we can see in this forecast, the I Know First Algorithm had a negative forecast for the U.S. Dollar. In fact, the U.S. Dollar Index (DXY) fell 2.2% on Tuesday, posting its worst one-day decline since 2009. And technically, this can be good news for the stock market.
More than that, the AI-Algorithm already had a positive S&P 500 forecast two weeks ago.
In the Top 10 Stocks package, the algorithm had a positive signal for the benchmark in a 14 days time horizon. The S&P 500 in fact had a positive result, 2.36%, but the package managed to have an even better average return at 15.15%. The highest trade return came from CGC, at 33.97%. The same could be seen in the Tech Giants Stocks forecast, where the performance was even better: 16.82% average yield versus 2.36% from the benchmark. The prediction with the highest return was LPSN, at 34.93%. And in the Top S&P 500 Stocks package, the average return stood at 15.29% at the same time period as the S&P 500 returned 4.88%. IVZ was the highest-earning trade with a return of 30.5%, followed by AMAT and CRL with notable returns of 27.72% and 17.85%.
And even one month ago, the algorithm was already predicting a positive S&P 500 return!
The S&P 500 had a positive signal in the Top 10 Stocks package for a one-month period and increased 10.53% over the timeframe. The package's overall return was even better: 17.99%. LOGI topped the package at 41.2%, with GPS and FOXF following with yields of 27.39% and 25.34%, respectively. In the Dividend Stocks package, the overall average return was 24.92%, providing investors with a premium of 13.29% over the S&P 500’s return of 11.63% during the same period. The top-performing prediction in this forecast was APPS, which registered a return of 44.18%. And for the Pharma Stocks package, the average yield was 39.31% in a one-month period, more than three times the S&P 500 return! The top-performing prediction from this package was AGLE with a return of 179.59%. In other words, our clients enjoyed even better results than the benchmark.
If you are interested in the best opportunities for the best stock market, commodities currencies, cryptocurrencies, or any other package we offer, you can simply click here to have access to all of them. Do not wait any longer to enjoy all the investment opportunities we can offer and boost your portfolio!
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 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 do the colors indicate? A. The green boxes signify long predictions and the red boxes signify short predictions. The bright shades denote the strongest predictions.
Q. How should I use the predictabilities and signals? A. It is recommended that investors consider both the signal strength and predictability, as a highly predictable stock that barely moves and an unpredictable stock that is projected to move drastically both make unattractive investments.
Q. Which time horizons should I follow? A. The longer-term forecasts (1-month and 3-month) tend to have higher predictabilities as the algorithm can more easily spot long-term trends. We suggest following these two time horizons the most closely, but the more reactionary shorter term horizons are helpful in understanding the short-term volatility of the market. Perhaps if you see that a stock with a strong, positive 3-month prediction has a negative short-term forecast, it is a good idea to wait until the stock decreases in value before buying it.
This week’s Apple Stock News discusses that hat Apple Pay, according to Apple, is now accepted by more than 90 percent of U.S. retailers. Still, there are some major holdouts including Walmart, Home Depot, Lowe’s, and Kroger.
According to MacRumors, Apple is continuing to work on the creation of its mixed-reality headset with Pegatron likely to be the sole partner for final assembly, according to DigiTimes. Mass production is projected to start in March 2023, with an unveiling perhaps taking place the following month, based on the headset’s current state in the manufacturing validation process.
Due to temporary COVID-19 limits at the main Foxconn factory in Zhengzhou, China, Apple announced today that it anticipates lower shipments of the iPhone 14 Pro and iPhone 14 Pro Max than the firm had originally estimated. According to Apple, buyers will have to wait longer to get their orders of the iPhone 14 Pro and iPhone 14 Pro Max due to the supply chain’s decreased capacity.
According to MacRumors, due to production problems, Apple appears to have told the Chinese vendor Goertek to stop assembling the second-generation Air Pods Pro. To close the gap, Chinese manufacturer Luxshare increased manufacturing of the second-generation Air Pods Pro, making it the momentarily exclusive source of wireless earbuds
