Stock Prediction: Sectorial Stocks and Level 1 ETFs


Stock prediction: I Know First provides investment solutions for both individual and institutional investors, utilizing an advanced AI self-learning algorithm to gain a competitive advantage. We offer a personalized approach to our institutional clients, assisting them in their investment process based on their specific needs and preferences. For more details about I Know First solutions for institutional investors, please visit our website.

Stock prediction: Sectorial Stocks and Level 1 ETFs

The following trading strategy was developed using I Know First’s AI Algorithm daily forecasts from January 1st, 2020, to March 25th, 2024, with a focus on S&P 500 stocks selected based on the signal and predictable filters. This strategy is available to our institutional clients: hedge funds, banks, and investment houses, as a tier 2 service on top of tier 1 (the daily forecast).

The strategy involves constructing a signal-weighted portfolio with monthly rebalancing, achieved through the implementation of the signal filter. Moreover, the strategy controls the majority direction. The term “majority direction” refers to our predictions for stocks, upon which we base our position. This decision is guided by a number of long and short stock forecasts. Therefore, if the count of long stock forecasts surpasses the count of short stock forecasts, the majority direction is to go long, and we construct a long portfolio. Conversely, if the count of short stock forecasts is higher, we assume a short portfolio. Moreover, we select the top three level 1 ETF sector with more stocks from a selected stock universe based on the signal filter. Additionally, we utilize a signal outlier filter to ensure that stocks with signals outside of the selected range, i.e., those exhibiting extreme values, are not included.

In this strategy, we open our portfolio based on the majority direction. The number of stocks in the portfolio is variable. We identify the Top 3 leading sectors, and we select the best stocks of those sectors according to the AI Algorithm (10% max exposure per stock). The average number of stocks we hold is 28. In case we have excess cash, we buy the 3 leading sector ETFs. When we go short, we monitor short positions on a weekly basis, utilizing our AI forecasts to exit positions if there is any indication of a directional shift. Upon exiting a short position, we reallocate funds into SPY. Afterwards, we conduct rebalancing on the following week.

The strategy provides a positive return of 432.74% which exceeded the S&P 500 return by 373.55%. Below we can notice the strategy behavior for each year.

I Know First Algorithm – Seeking the Key &  Generating Stock Market Forecast

Stock market predictions: Basic Principle of the "I Know First" Predictive Algorithm

The I Know First predictive algorithm is a successful attempt to discover the rules of the market that enable us to make accurate stock market forecasts. Taking advantage of artificial intelligence and machine learning and using insights of chaos theory and self-similarity (the fractals), the algorithmic system is able to predict the behavior of over 13,500 markets. The key principle of the algorithm lies in the fact that a stock’s price is a function of many factors interacting non-linearly. Therefore, it is advantageous to use elements of artificial neural networks and genetic algorithms. How does it work? At first, an analysis of inputs is performed, ranking them according to their significance in predicting the target stock price. Then multiple models are created and tested utilizing 15 years of historical data. Only the best-performing models are kept while the rest are rejected. Models are refined every day, as new data becomes available. As the algorithm is purely empirical and self-learning, there is no human bias in the models and the market forecast system adapts to the new reality every day while still following general historical rules.


I Know First offers investment solutions for institutional investors, leveraging our advanced self-learning algorithm to gain a competitive advantage. We provide a personalized approach for our institutional clients, enhancing their investment process according to their specific needs and preferences. In this context, we have evaluated the performance of the sectorial stocks and level 1 ETFs strategy during the period from January 1st, 2020, to March 25th, 2024.

stock market predictions: I Know First Premium article

To subscribe today click here.

Please note-for trading decisions use the most recent forecast.