Creating a stock market forecasting web application using Streamlit. In this we are going to use mention below libraries:

• streamlit as st
• yfinance as yf
• pandas as pd
• numpy as np
• matplotlib.pyplot as plt
• seaborn as sns
• plotly.graph_objects as go
• plotly.express as px
• datetime
• from datetime we will import data and timedelta
• from statsmodels.tsa.seasonal we will import seasonal_decompose
• from statsmodels.tsa.stattools we will import adfuller
• statsmodels.api as sm