Stay Ahead Of The Curve: AI Weekly
Stock Prediction: The Best Industries with Controlling the Short Trading
I Know First has developed a trading strategy using their AI algorithm for stock prediction. The strategy focuses on S&P 500 stocks and involves trading GICS level 2 ETFs. The portfolio is count-weighted and rebalanced monthly, and stocks with extreme signal values are filtered out. The strategy determines the majority direction based on long and short stock forecasts, and constructs a long or short portfolio accordingly. If the majority direction changes, the portfolio is adjusted. The strategy has performed well, earning a return of 8.36% from November 15 to December 13, 2023, compared to the S&P 500’s increase of 3.13% from January 1, 2020, to December 17, 2023. Overall, the strategy has provided a positive return of 564.16%, exceeding the S&P 500 return by 518.72%.
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AXP Stock Forecast: Transforming Consumer Base
American Express saw a 15.59% increase in total revenue for the first nine months of 2023 compared to the previous year, reaching $44,716 million. Discount revenue accounted for about 55% of the revenue and grew due to increased billed business. Net card fees, service fees, and other revenue also increased, primarily driven by growth in premium card portfolios and foreign exchange-related revenues. Processed revenue increased due to higher network partner volumes. Interest income and expense both increased due to higher interest rates. American Express has demonstrated strong performance and achieved an impressive Return on Equity (ROE). The company distributes funds through dividends and buybacks, returning $3.9 billion to shareholders in the first nine months of 2023. Securing the Apple Card partnership from Goldman Sachs would be a significant opportunity for American Express, as it would expose them to spending from Gen Z consumers. The stock is correctly valued by the market, and the recommendation for investors is to hold. The stock-picking AI of I Know First has a high buy signal for AXP’s one-year stock forecast.
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Algorithmic Trading Market: Booming Evolution and Bright Future
Algorithmic trading, which involves the use of computer programs to execute trades, has seen significant growth in recent years. In the early 2000s, only 15% of trading volume in the US stock market was attributed to algo trading, but now it accounts for more than 80% of trading. High-frequency trading (HFT) is one example of algorithmic trading that has evolved over time, with execution times decreasing from seconds to nanoseconds. Algo trading is used across various asset classes, with equities having the largest share. It offers benefits such as faster execution, reduced human error, and elimination of emotional decision-making. The COVID-19 pandemic has further accelerated the use of electronic trading strategies, including algo trading. The market is expected to continue to grow, with a projected CAGR of 11.23% between 2021-2026. I Know First is a leader in the algorithmic trading market, providing daily forecasts and facilitating trading for over 10,500 financial instruments. Their system uses AI and machine learning algorithms to identify trends and generate forecasts. The success of their algorithm is evident in the high hit ratios achieved for long-term forecasts. Overall, algorithmic trading has become a popular and profitable trading strategy, and the future outlook for the market is positive.
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I Know First Algorithmic Trading Strategies
The article provides an overview of the I Know First algorithm and how it works. The algorithm analyzes the flow of money between different markets and uses over 13,500 different assets to make predictions. The forecasts are updated daily and can range from 3 days to 1 year. The algorithm provides a signal, which indicates the predicted movement direction, and a predictability indicator, which indicates the probability of the prediction being correct. The heat map shows the strength of the signals, with green indicating a positive signal and red indicating a negative signal. The article also discusses different strategies for using the forecasts, such as comparing them to your own analysis or purchasing all the recommended assets in equal weights. The article concludes by highlighting some successful predictions made by the algorithm.
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Guide to Automated Trading Using Quant Platforms and I Know First Algorithmic signals: 48% Annual Return
In this article, the author explains how to create a powerful trading algorithm using algorithmic forecasts. Firstly, they recommend signing up for an open source algorithmic development platform, specifically QuantConnect which uses C# programming language. They suggest going through the tutorials provided by QuantConnect to familiarize yourself with the platform. The author then provides some code to help upload data from an excel file to the algorithm. Once the algorithm has been set up, the author explains how to buy and sell stocks using basic or complex trading strategies. The article concludes by encouraging readers to use the QuantConnect community for support and by sharing the author’s own trading methodology. The author also mentions that QuantConnect can be used for backtesting and live trading. If readers can beat the author’s annual return with their algorithm, they are encouraged to contact the author for a prize. The article ends with a disclosure that the author is part of I Know First Research, a company that specializes in predicting the stock market.
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Letter from the CEO
Dear Readers,
I hope this letter finds you well and that you are enjoying the benefits of our cutting-edge AI-powered Predictive Algorithm. As you know, we are constantly striving to provide you with the most accurate and reliable forecasts for the stock market, based on our proprietary artificial intelligence system.
In accordance with the forecast , the past week was a challenging one for the market, as the S&P 500 ended Friday modestly higher, but all three of the major averages snapped a nine-week winning streak following a stronger-than-expected jobs report. The three major averages notched their first negative week in 10, with the Nasdaq suffering the biggest decline at 3.25% — its worst weekly performance since September. The S&P 500 and Dow dropped 1.52% and 0.59%, respectively.
However, despite the market volatility, our algorithm identified several opportunities for our subscribers to profit from both long and short positions. In accordance with our forecast, some of the stocks that performed well in the past week were:
In the 3 Days forecast for the Hedge Fund Stocks Package, ZIM, X, and NYCB, all had returns of 30.38%, 0.81%, and 0.48%, respectively. The Hedge Fund Stocks package recorded an overall average return of 2.89%, providing investors with a premium of 2.73% over the S&P 500’s return of 0.16% during the same period. In the 7 Days forecast for the Medicine Stocks Package, PTN, INO, and XOMA all had returns of 34.03%, 27.03%, and 13.53%, respectively. The Medicine Stocks package recorded an overall average return of 8.73%, providing investors with a premium of 8.48% over the S&P 500’s return of 0.25% during the same period. In the 14 Days forecast for the Pharma Stocks Forecast Package, KURA, NRIX, and ORGO all had returns of 24.37%, 13.56%, and 8.8%, respectively. The Pharma Stocks Forecast package recorded an overall average return of 6.87%, providing investors with a premium of 6.82% over the S&P 500’s return of 0.05% during the same period. In the 1 Month forecast for the Top 10 Stocks Package, CLSK, SQ, and WIX all had returns of 76.76%, 21.95%, and 21.2%, respectively. The Top 10 Stocks package recorded an overall average return of 17.49%, providing investors with a premium of 13.07% over the S&P 500’s return of 4.42% during the same period. In the 1 Month forecast for the Insider Trades Package, MARA, CLSK, and PVH all had returns of 96.24%, 76.76%, and 24.89%, respectively. The Insider Trades package recorded an overall average return of 31.66%, providing investors with a premium of 27.24% over the S&P 500’s return of 4.42% during the same period. In the 3 Months forecast for the Top 10 Stocks Package, GPS, FRPT, and AZTA all had returns of 96.52%, 32.79%, and 29.23%, respectively. The Top 10 Stocks package recorded an overall average return of 22.23%, providing investors with a premium of 11.62% over the S&P 500’s return of 10.61% during the same period. In the 3 Months forecast for the Home Builders Package, HOV, MHO, and PHM all had returns of 80.64%, 60.54%, and 41.2%, respectively. The Home Builders package recorded an overall average return of 34.11%, providing investors with a premium of 23.8% over the S&P 500’s return of 10.31% during the same period. In the 1 Year forecast for the Computer Industry Package, NVDA, AMD, and AVGO all had returns of 238.87%, 127.59%, and 99.64%, respectively. The Computer Industry package recorded an overall average return of 77.24%, providing investors with a premium of 53.01% over the S&P 500’s return of 24.23% during the same period. In the 1 Year forecast for the Home Builders Package, HOV, MHO, and BZH all had returns of 245.24%, 156%, and 135.45%, respectively. The Home Builders package recorded an overall average return of 85.54%, providing investors with a premium of 62.19% over the S&P 500’s return of 23.35% during the same period.
As you can see, our algorithm has proven to be a valuable tool for investors who want to gain an edge in the stock market. We are confident that our algorithm will continue to deliver high-quality forecasts for the rest of the year and beyond.
In fact, 2024 represents a crucial year for the stock market as the fourth year of the current presidential cycle gets underway, according to Bank of America. The fourth year of a presidential term is the second-strongest year for the stock market, with the S&P 500 historically posting solid median and average returns of 10.7% and 7.5%, respectively, according to data going back to 1928. Only the third year of a presidential term is stronger. One idea behind the solid performance during the fourth year of the presidential cycle is that the incumbent president will try to give the economy one last boost via fiscal spending to increase their chances of getting re-elected.
Therefore, we believe that 2024 will offer many opportunities for our subscribers to profit from the market movements. Our algorithm is already preparing for the next year by analyzing the historical data, the current trends, and the future scenarios. We have recently published our stock market forecast based on artificial intelligence for 2024, which you can access here:
In this forecast, you will find our predictions for the best stocks to buy, sell, or hold for the next year, based on our advanced AI system. You will also find our forecasts for the major market indices, such as the S&P 500, the Nasdaq, and the Dow. We are confident that our forecast will help you make informed and profitable decisions for your portfolio.
If you are not yet a subscriber of I Know First, we invite you to join our growing community of investors who trust our algorithm to guide them in the stock market. By subscribing to I Know First, you will get access to our daily and weekly forecasts for thousands of stocks, ETFs, commodities, currencies, and more. You will also get access to our exclusive reports, newsletters, and webinars, where we share our insights and tips on how to use our algorithm effectively.
To join I Know First, simply visit our landing page and fill out the form:
You will receive a confirmation email with your login details and instructions on how to access our forecasts.
We look forward to welcoming you to our I Know First family and helping you achieve your financial goals.
Best Regards
Yaron Golgher, CEO
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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).
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Weekly Apple Stock Update
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Apple’s Vision Pro is poised for mass shipments, with an estimated 500,000 units expected in 2024 following an announcement by analyst Ming-Chi Kuo. This device, unveiled in June, is set for availability by late January or early February, starting in the U.S. and expanding globally throughout the year. Concurrently, Apple is in talks with major publishers to utilize news content for training AI systems, potentially enhancing iOS features, although some publishers have reservations about the terms. In response to customer demand, Lowe’s has introduced Apple Pay in its U.S. stores, providing a contactless payment option for shoppers. However, a setback for Apple comes from the U.S. International Trade Commission’s ban on the sale of Apple Watch Series 9 and Ultra 2 due to patent infringement claims related to blood oxygen monitoring technology. While this ban only impacts Apple’s U.S. retail stores, the company is exploring strategies like appeals, potential sensor modifications, or negotiations to resolve the dispute.
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