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Project Idea: Stock Price Visualization App

The Stock Price Visualization app involves creating an interactive web application where users can input a stock symbol (e.g., "TSLA" for Tesla) and view historical stock price data in a chart. This project leverages Streamlit for the user interface, yFinance for fetching stock data, and Matplotlib for plotting, making it a suitable intermediate-level project for users familiar with Python and basic data visualization.

pip install streamlit yfinance matplotlib

import streamlit as st

import yfinance as yf

import matplotlib.pyplot as plt

st.title("Stock Price Visualization")

# User input for stock symbol

stock_symbol = st.text_input("Enter stock symbol (e.g., TSLA for Tesla):")

if stock_symbol:

    # Fetch stock data

    stock_data = yf.Ticker(stock_symbol)

    hist = stock_data.history(period="1y")

    # Plot the data

    st.subheader("Stock Price Over Time")

    fig, ax = plt.subplots()

    ax.plot(hist.index, hist["Close"])

    ax.set_title(f"{stock_symbol} Stock Price")

    st.pyplot(fig)

streamlit run app.py

Conclusion

In conclusion, creating a Stock Price Visualization app with Streamlit on Replit is a feasible and educational project, suitable for users with basic Python knowledge. By following the outlined steps, users can build an interactive app to visualize stock prices, leveraging Replit's robust support for visualization libraries and Streamlit's ease of use. For further assistance, refer to Replit's documentation and community resources, ensuring a comprehensive learning and development experience.

This work is licensed under a Creative Commons Attribution 4.0 International License.