• Anjali P. Patil
• Gayatri A. Bhoyar
• Akanksha S. Sontakke

Stock market prediction is a complex task that has garnered significant attention from researchers and investors alike. The K- Nearest Neighbors (KNN) algorithm, a widely used and straightforward machine learning technique, has shown promising results in various domains, including stock trend prediction. This review paper provides a comprehensive examination of the application of the KNN algorithm in stock market forecasting. We discuss the theoretical foundations of the KNN method, explore its strengths and limitations, review relevant literature, including survey papers, and highlight key research advancements. Additionally, we analyze various factors affecting the KNN model's performance and suggest potential areas for future research in stock trend prediction. Stock price trend prediction plays a crucial role in financial decision-making and investment strategies. Over the years, various machine learning algorithms have been applied to predict stock prices, and one such algorithm that has gained attention is the K-Nearest Neighbors (KNN) algorithm. This review paper aims to provide a comprehensive analysis of the application of the KNN algorithm in stock price trend prediction. It discusses the underlying principles of the KNN algorithm, its advantages and limitations, and presents a critical evaluation of recent research studies utilizing KNN for stock price prediction. Additionally, this review explores preprocessing techniques, feature selection, parameter optimization, and performance evaluation methodologies specific to KNN in the context of stock price trend prediction. Finally, it offers insights into the challenges and future directions for leveraging the KNN algorithm in this field.

Stock Market , K-Nearest Neighbors (KNN), Data Preprocessing, Classification Technique, Model training

"Stock Trend Prediction Using KNN Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.b298-b302, August-2023, Available :http://www.jetir.org/papers/JETIR2308138.pdf

"Stock Trend Prediction Using KNN Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppb298-b302, August-2023, Available at : http://www.jetir.org/papers/JETIR2308138.pdf