Analyze stock market data and visualize trends
Find and analyze stock news and prices
Market Dashboard
Analyze stock financial data and forecasts
Analyze stocks and get predictions
Visualize stock trends with Bollinger Bands and predict future prices
Predict stock market trends using LSTM, Prophet, and NeuralProphet
Browse stock predictions and trends
Technical analysis and trading signals.
Fetch stock data, predict future trends, and get investment advice
Predict future sales using CSV data and date range
Forecast stock prices using RNN, LSTM, and GRU models
AI algorithm for Indian stock market prediction
Finance Analysis Streamlit is a powerful web-based application designed to analyze stock market data and visualize trends. Built using Streamlit, it provides users with an interactive platform to explore financial metrics and make data-driven decisions. The tool leverages machine learning and data visualization to deliver actionable insights, helping users understand market dynamics and predict potential trends.
• Real-Time Stock Data: Access live stock market data for comprehensive analysis. • Interactive Visualizations: Generate and customize charts and graphs to visualize trends. • Predictive Analytics: Utilize machine learning models to forecast stock prices and market movements. • Customizable Dashboards: Tailor the interface to focus on specific stocks or market segments. • Financial Indicators: Calculate and display key metrics such as moving averages and RSI. • Comparative Analysis: Compare performance across multiple stocks or indices. • Alert System: Set up notifications for significant market changes or stock movements.
streamlit run command.What systems does Finance Analysis Streamlit support?
The application is designed to run on Windows, macOS, and Linux systems with Python installed.
Where does the stock data come from?
The stock data is sourced from reliable financial APIs such as Yahoo Finance or Alpha Vantage.
Do I need prior knowledge of stock markets to use this tool?
No, the interface is user-friendly and designed for both beginners and experienced users to navigate easily.