Daily Market Forecast Based On a Predictive Algorithm

I Know First is a financial services firm that utilizes an advanced self-learning algorithm to analyze, model and predict the stock market.
Co-Founder Dr. Lipa Roitman, a scientist, with over ... more

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Natural Gas Forecast: Can Prices Continue To Rise?
The restrained supply will lead to a higher natural gas price. While the expensive natural gas will reduce consumption to a certain degree, the effect cannot outweigh the impact of low supply.
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VaR Estimation: Condition Shortfall
Value at Risk allows us to estimate possible financial losses within a portfolio over a specific time frame.
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Nvidia Stock Forecast: Still Worth Holding In The Long Term
Nvidia is expanding into all possible markets needing GPU and launching innovative software and CPU products to support its hardware and ambitious expansion. The company is expected to boost its revenue in all segments.
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VaR Estimation: Variance-Covariance And Historical Simulation Methods
Value at Risk allows us to estimate possible financial losses within a portfolio over a specific time frame. In this article, we estimate VaR of a portfolio based on Variance-Covariance and Historical Simulation methods.
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Portfolio Construction Based On High Moment Distribution Parameters
Portfolio optimization based on the "four moments" utility function enables us to construct portfolios taking into account investors’ preferences about risk-aversion.
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Portfolio Construction Based On Fundamental Ratios
Relative valuation is one of the basic concepts of stock evaluation with its pros and cons, and the Treynor-Black model can help to construct an effective portfolio with active and passive investment parts.
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Energy Stocks: AI Beats The S&P500 By 51.49% With Accuracy Of 80%
This report looked at the performance forecast of the Energy Stocks Package from March 29th, 2021 to May 29th, 2022. The I Know First Algorithm is exceeding the S&P 500 benchmark index across all signal filtering subsets and forecasting periods in most groups.
IKF Algorithm: Application Tips
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 more than 10,500 financial instruments for time horizons ranging from 3 to 365 days.
Chemical Stocks: AI Beats S&P500 By 40.55%
This report looked at the performance forecast of the Chemical Stocks Package from January 1st, 2021 to May 8th, 2022. 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.
World Indices Forecast: AI Beats The S&P500 By 41.85%
This report looked at the live performance forecast of I Know First data for the World Indices Package from January 1st, 2021 to April 4th, 2022. We can observe that the Algorithm is exceeding the S&P 500 benchmark index across all signal filtering subsets and forecasting periods in most groups
Bank Stocks: AI Beats The S&P 500 By 9.05% With An Accuracy Of 89%
This report looked at the performance forecast of I Know First data for the Bank Stocks Package from December 1st, 2020 to March 20th, 2022. We can observe that the Algorithm is exceeding the S&P 500 index across all signal filtering subsets and forecasting periods in most groups.
Home Builders Stocks: AI Beats The S&P500 By 39.90%
This report looked at the live performance forecast of I Know First data for the Home Builders Stocks Package from September 16th, 2020 to January 16th, 2022. The I Know First Algorithm is exceeding the S&P 500 benchmark index across all signal subsets and forecasting periods in most groups.
Dividend Stocks: AI Beats The S&P 500 By 26.81%
The algorithm is exceeding the S&P 500 benchmark index across all signal filtering subsets and forecasting periods in most groups except for the Top 20 Signals and Top 10 Signals in the 3-day time horizon where algorithmic returns are equal to the benchmark return.
Stock Market Forecast Based On Artificial Intelligence For 2022
Every year we issue a one-time forecast for a year. The report includes our recommendations for a broad range of financial assets for a period of 12 months ahead: Recommended Stocks for US market; European market; ETFs; Commodities market; Currency and Cryptocurrency markets.

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