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Exploring Market Anomalies with AI

This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

The stock market promises instant fortunes, enticing investors with tales of overnight success and financial conquest.
The Efficient Market Hypothesis (EMH) dominates financial theory, suggesting that consistently outperforming the market is impossible in an efficient market.
AI emerges as a digital detective, armed with cutting-edge tools like neural networks and deep learning to detect anomalies in real-time.

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This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

A correctly identifying market anomaly can generate a profit for an investor that enables him to beat the market.
We have tested the January and April effect anomalies and we have found that exploration of this anomaly cannot provide an eager return for an investor today.
The I Know First AI algorithm can identify working market anomalies that could be difficultly recognizable for a general investor.