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 20 ...more

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Identifying The Dimension Where Deterministic Chaos Is Alive In The Stock Market
We have estimated approximate entropy for the S&P 500 and its SPDR ETF and we have noticed that all of them have non-linear dependence patterns for the dimension of 3 or 4 days.
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Market Anomaly: Weekend Effect Of Monday And Friday Stock Returns
The weekend effect addresses investors’ irrationality. There is no clear economical explanation of the weekend effect's existence.
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Market Anomaly: January And April Effects
We have tested the January and April anomalies and we see that exploration of this anomaly cannot provide the desired return for an investor today.
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AI Stock Forecast: Fighting The Irrational Crowd By Investing Through AI
Deviation from rational thinking creates direct losses or opportunity costs in investing activity. AI can capture our biases and feelings, and uncover the knowledge that is covered for a general investor.
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China Stock Market Forecast: China’s Economy Under The Test Of Multiple Crises
In 2022, China’s economic development will face triple pressures of shrinking demand, supply shock, and weakening expectations. Under the impact of the epidemic, the external environment will become more complex, severe, and uncertain.
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Top Stocks: Investment In The Energy Sector In 2022
The top 10 US performance stocks in 2022 are all related to the energy sector. Energy price volatility has a significant effect on both energy sector stocks and the world economy.
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Home Builders Stocks: AI Beats The S&P500 By 48.12%
This report looked at the performance forecast of I Know First data of short positions for the Home Builders Stocks Package from October 1st, 2021 to January 15th, 2023. We can observe that the Algorithm is exceeding the S&P 500 index across all signal filtering subsets and forecasting periods.
Stock Market Forecast: Investment Strategies To Beat The Market Using The I Know First AI Algorithm
We have reviewed the performance of several trading strategies where the AI algorithm beat the S&P500 in a dramatic way for the period from January 1st, 2020, to October 28th, 2022.
High Short Interest Stocks: AI Beats The S&P500 By 75.86%
This report looked at the live performance forecast of I Know First data of short positions for the High Short Interest Stocks Package from August 1st, 2021 to November 29th, 2022.
COP Stock Forecast: COP Increased By 69.41% With An Accuracy Of 100%
This report looked at the live performance forecast of I Know First data for ConocoPhillips stock from 19th June 2021 to 19th October 2022. I Know First was able to generate a positive average return from 0.91% for the 3-day horizon to 69.41% for the 1-year horizon.
Commodity Futures: AI Beats S&P500 By 61.14%
This report looked at the performance forecast of the Commodity Futures Package from March 1st, 2021 to July 10th, 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.
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.

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