StockVision 📈

StockVision is a web application built using Streamlit that provides tools for stock analysis and prediction using machine learning and financial data visualization techniques.

Overview 🚀

StockVision allows users to:

• 🧠 Predict Stock Prices: Use historical data and a trained machine learning model to forecast future prices.
• 📊 Interactive Charts: Visualize historical closing prices and moving averages (100-day and 200-day).
• 📈 Financial Ratios: Analyze key financial ratios such as P/E ratio, P/B ratio, and market capitalization.
• 📉 Candlestick Charts: Generate candlestick charts for both historical and predicted stock prices.
• 📰 Latest News and Sentiment Analysis: Get the latest news headlines and sentiment analysis for selected stock tickers.

Features 🌟

• Predictive Modeling: Utilizes a machine learning model to forecast stock prices for the next 10 days based on historical trends.
• Interactive Charts: Offers interactive plots for closing prices, moving averages, and financial ratios.
• Candlestick Charts: Provides visualization of stock price movements using candlestick charts for historical and predicted data.
• Financial Analysis: Displays key financial ratios to assist in fundamental analysis.
• Latest News and Sentiment Analysis: Fetches the latest news headlines and provides sentiment analysis for the selected stock tickers.

Getting Started 🚀

To run StockVision locally:

1. Clone this repository:

   git clone <repository_url>
   cd StockVision
   

2. Install the required Python packages:

   pip install -r requirements.txt
   

3. Run the Streamlit app:

   streamlit run app.py
           

4. Find the Ticker in:

   Ticker.txt file
   

5. Access the application in your web browser at http://localhost:8501.

Dependencies 📦

• Streamlit
• Pandas
• Matplotlib
• NumPy
• yfinance
• Keras (for loading the machine learning model)
• scikit-learn (for data preprocessing and linear regression)
• mplfinance (for candlestick charts)
• StockNews (for fetching latest news)

Usage 📝

1. Enter Stock Ticker: Input the stock ticker symbol (e.g., INFY.BO) in the text box.
2. Predictions: View predicted stock prices for the next 10 days along with trend analysis.
3. Time Series Analysis: Explore historical closing prices and moving averages for different time periods (1 month, 3 months, 6 months, 1 year, 5 years, or full data).
4. Financial Ratios: Analyze key financial ratios like P/E ratio, P/B ratio, and market capitalization.
5. Latest News and Sentiment Analysis: Get the latest news headlines and sentiment analysis for the selected stock ticker.

Examples 📊

• Predictions vs Original: Compare predicted stock prices with actual prices for validation.
• Trend Analysis: Determine whether the stock is in an uptrend or downtrend based on predicted prices.
• Candlestick Charts: Visualize stock price movements using candlestick charts for both historical and predicted data.
• Latest News and Sentiment Analysis: Stay updated with the latest news headlines and understand the market sentiment related to your stock ticker.