Stock Price Prediction is the process of predicting the future value of a stock traded on a stock exchange for reaping profits.This system helps the user to discover the future value of company stocks.
- Pandas support multiple file-formats.
- Other libraries, such as Scipy and Scikit-learn are used for statistical modeling, mathematical algorithms, machine learning, and data mining.
- Matplotlib, seaborn, and vispy are packages for data visualization and graphical analysis
- Deployed using Streamlit which is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time. It is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy(latex), NumPy, pandas, Matplotlib etc.
This dataset comprises of following variables:
- Date: A date is a particular day of the month.
- Open: It is the price at which the financial security opens in the market when trading begins.
- High: Today's high refers to a security's intraday highest trading price.
- Low: The low is the minimum price of a stock in a period, while high is the maximum value reached by the stock in the same period.
- Close: The close is a reference to the end of a trading session in the financial markets when the markets close for the day.
- Volume: In capital markets, volume, or trading volume, is the amount of a security that was traded during a given period of time.