Stock Market Prediction: Investment Strategies with Duplicate and Double-Down Positions
This article "Stock market prediction: investment strategies with duplicate and double-down positions" was written by the I Know First Research Team.
I Know First provides investment solutions for institutional investors with a competitive advantage utilizing our advanced self-learning algorithm. I Know First provides an individual approach for institutional clients to improve their investment process based on their needs and preferences. We have reviewed the performance of Duplicate and Double-Down trading strategies based on the predictability filter for the period from January 1st, 2020, to March 24th, 2023. Visit our website for more details about I Know First solutions for institutional investors.
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Subscribe to receive exclusive PREMIUM content hereStock Market Forecast: Investment Strategies by Predictability to Beat the Market with AI
This article "Stock market forecast: investment strategies by predictability to beat the market with AI" was written by the I Know First Research Team.
I Know First provides investment solutions for institutional investors with a competitive advantage utilizing our advanced self-learning algorithm. I Know First provides an individual approach for institutional clients to improve their investment process based on their needs and preferences. We have reviewed the performance of several trading strategies based on the predictability filter for the period from January 29th, 2020, to March 24th, 2023. Visit our website for more details about I Know First solutions for institutional investors.
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Subscribe to receive exclusive PREMIUM content hereRisk Parity Portfolio
This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.Summary:
- The risk parity portfolio technique enables us to identify optimal asset weights in the portfolio so that the contribution of each asset toward the total portfolio risk is equal.
- I Know First provides daily market forecasts for a broad range of financial assets for six investment horizons from 3-day to 1-year which help to identify the most promising financial assets according to the AI algorithm.
- We can build a portfolio based on the IKF AI algorithm, and construct the risk parity portfolio where each asset has the same risk contribution rate to the total portfolio risk.
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Subscribe to receive exclusive PREMIUM content hereSector Rotation: Constructing a Suitable Portfolio According to the Macroeconomic Environment
This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.Summary:
- Different stages of the stock market require stock selections that are more suitable in the current macroeconomic environment.
- The strategy based on sector rotation in periods of expansion and recession can generate an additional excess annual return compared with the stock market return.
- I Know First provides the ETFs package based on the AI algorithm to find the most promising investment opportunities according to the macroeconomic environment.
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Subscribe to receive exclusive PREMIUM content hereStock Market Forecast: Chaos Theory Revealing How the Market Works
I Know First Research | May 8th 2014
How Can We Predict the Financial Markets by Using Algorithms?
Common fallacies about markets claim markets are unpredictable. However, chaos theory together with powerful algorithms proves such statements are wrong. Markets are chaotic systems with complex dynamics, yet to a certain extent we can make valid stock market forecasts. Using these forecasts generated by cutting-edge predictive algorithms together with a careful risk management strategy may give a trader a significant competitive advantage.
Markets Are Complex Systems
Looking at the common fallacies about stock markets, we can see two major groups. The first group is connected to the classical economic theory, which claims that markets are 100% efficient, and as such unpredictable. However, trying to make predictions regarding the markets is useless anyway, as no stock can be possibly be a better deal than another. Both of them are efficient and everybody in the market has perfect information available to them. From our daily lives it is obvious that this does not truly reflect reality. There are people who actually profit trading stocks, which should not be possible in this idealistic market of economy theories.
Artificial Intelligence: The Future of Trading
The article was written by Jacob Saphir, a Financial Analyst at I Know First.Artificial Intelligence
Summary:
- Asset management industry is downsizing
- Popularity in indexation, shift from institutional to retail, and growth in multi-asset solutions are deterring active management
- Artificial intelligence may be the missing link
- I Know First Application
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