Stock market prediction

Stock market prediction is the practice of using data and models to estimate future movements in stock prices or indexes. Here are key approaches and methods used: 1. Fundamental Analysis Focuses on a company's intrinsic value by analyzing: Earnings reports Revenue growth Debt levels Industry trends Economic indicators Used for long-term investing. 2. Technical Analysis Uses historical price data and volume to predict future movements. Candlestick patterns Moving averages (SMA, EMA) Relative Strength Index (RSI) MACD (Moving Average Convergence Divergence) Used for short to medium-term trading. 3. Quantitative Models & Machine Learning Algorithms learn from large datasets to make predictions: Linear regression, time-series models (ARIMA) Neural networks (LSTM, Transformer) Random forests, XGBoost Sentiment analysis using social media/news Used for algorithmic or high-frequency trading. 4. Sentiment Analysis Monitors public mood using: News articles Reddit/StockTwits/Twitter p...