Welcome to the Nifty 50 Stock Price Prediction project! This repository hosts a predictive model for forecasting the stock prices of companies listed on the Nifty 50 index.
The Nifty 50, comprising India's top 50 companies from various sectors, is a benchmark index on the National Stock Exchange (NSE). It reflects the overall performance of the Indian stock market and serves as a barometer of the country's economy.
Nifty 50 stocks represent diverse sectors like banking, IT, FMCG, and more, making them a vital indicator of market trends and economic health. Predicting their stock prices aids investors, traders, and financial analysts in making informed decisions.
Forecasting Nifty 50 stock prices is crucial for:
- Investors planning their portfolios.
- Traders seeking profitable opportunities.
- Analysts evaluating market trends.
- Decision-makers considering economic indicators.
This repository contains:
- Predictive models using machine learning algorithms.
- Historical stock price data.
- Jupyter Notebooks demonstrating the analysis.
- Data Collection: Gather historical data of Nifty 50 stocks.
- Model Building: Develop predictive models using machine learning techniques.
- Evaluation: Assess the models' performance using metrics like RMSE, MAE, etc.
- Prediction: Forecast future stock prices based on trained models.