Sample exercise using prophet and streamlit for stock predic
Stock Price Prediction
Analyze stock prices and news sentiment
Advanced AI predictions for the next week's stock prices
Find and analyze stock news and prices
Predict cryptocurrency prices and analyze market trends
Predicts closing prices of various indices using LSTM
Fetch stock data, predict future trends, and get investment advice
Predict stock prices and trade using LSTM model
stock-price-checker
DeepLearning Model for TedEA's Takeprofi
Analyze stock financial data and forecasts
A Stock Trading Bot that gives you financial insights
Stockprediction is an AI-powered application designed to predict stock market trends using historical data. It leverages advanced algorithms, including Facebook's Prophet, to forecast stock prices and help users make informed investment decisions. The tool is built using Streamlit, ensuring a user-friendly interface for seamless interaction.
• Historical Data Analysis: Uses past stock performance to generate predictions. • Advanced Algorithm Integration: Employs Prophet for accurate time-series forecasting. • Interactive Dashboard: Streamlit-based interface for real-time visualization and analysis. • Customizable Predictions: Allows users to input specific stock symbols for tailored forecasts. • Data Visualization: Presents predictions in clear, interpretable charts. • User-Friendly Design: Intuitive interface for both novice and experienced users.
What algorithm does Stockprediction use?
Stockprediction uses Facebook's Prophet algorithm, which is well-suited for time-series forecasting and provides robust predictions for stock prices.
Do I need specialized knowledge to use Stockprediction?
No, the app is designed to be user-friendly and accessible, even for those without extensive technical expertise.
How accurate are the predictions?
The accuracy depends on historical data quality and market conditions. While Stockprediction provides reliable forecasts, it’s important to consider external factors that may influence stock prices.