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 Kose Capital is a quantitative research initiative on stock investment. We employ most advanced artificial intelligence methods in the design of our investment algorithms.

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Market efficiency refers to the idea that stock prices reflect all available information, making it nearly impossible for investors to consistently outperform the market without taking on additional risk. While this concept holds true in some markets, it doesn’t necessarily apply universally. For instance, in emerging markets like Borsa Istanbul, inefficiencies can be more pronounced due to factors such as limited access to information, lower liquidity, and the influence of external events. This creates opportunities for investors who can exploit market anomalies to achieve higher returns.

Borsa Istanbul, in particular, has shown inefficiencies over time, where traditional investment approaches such as "buying and forgetting" about a stock can result in underperformance. Relying on this outdated method doesn’t take advantage of short-term market movements or shifts in sentiment that can have a significant impact on stock prices. As a result, being proactive and adaptive is crucial to capturing potential gains in this dynamic environment.

To address this need, I have developed an AI-driven daily stock recommendation system tailored for the Turkish market. This system leverages advanced algorithms and real-time data to provide timely, data-backed stock picks that outperform passive strategies. By incorporating AI and machine learning, it identifies patterns and trends that are often missed by human investors, offering an edge in navigating Borsa Istanbul’s unique market dynamics.

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