📉 Stock Market Prediction Models: Techniques and Tools for Forecasting Market Trends
🔹 Introduction: The Power of Stock Market Prediction Models Stock market prediction models are vital for investors looking to forecast future stock prices, market trends, and volatility. These models use historical data, technical indicators, and statistical methods to make predictions about the market. While no prediction model can guarantee success, they can provide valuable insights into future market behavior and guide investment decisions. In this blog, we’ll explore the different **stock market prediction models**, how they work, their applications, and the advantages and disadvantages of using them. By understanding these models, you can improve your ability to forecast market movements and make more informed investment decisions. 📌 1. Time Series Forecasting (ARIMA) **Time series forecasting** is a common statistical method used to predict future values based on past observations. One of the most widely used models in time series forecasting is **ARIMA** (Auto-Regre...