Analyze Google Trends data with AI
Predict stock prices and get financial insights
Predict future sales using CSV data and date range
Analyze stocks, forecast prices, and generate trading signals
SPY, QQQ, IWM, VIX
A Stock price prediction app using machine learning
Fetch stock data, predict future trends, and get investment advice
an app used to track trading details
Predict stock prices for selected future days
Sample exercise using prophet and streamlit for stock predic
Visualize stock trends with Bollinger Bands and predict future prices
Yahoo Finance zero-shot forecasting
Analyze stock prices and make predictions
gradio_pytrends_app is a powerful tool designed to predict stock market trends by leveraging Google Trends data and advanced AI analysis. It combines the capabilities of Gradio, a Python library for building machine learning demos, with PyTrends, a tool for extracting Google Trends data. This app enables users to analyze and visualize trends in real-time, providing actionable insights for stock market predictions.
• Real-time Google Trends Analysis: Extract and analyze Google Trends data dynamically. • AI-Powered Predictions: Use machine learning models to forecast stock market movements based on trend data. • Customizable Dashboards: Visualize data with interactive charts and graphs tailored to your needs. • Multi-Trend Comparison: Compare multiple trends side-by-side to identify correlations. • Stock Market Integration: Directly link trend analysis to stock performance data. • Alert System: Set up notifications for significant trend changes or prediction thresholds.
What data sources does gradio_pytrends_app use?
gradio_pytrends_app primarily uses Google Trends data, complemented with stock market data for comprehensive analysis.
Can I customize the AI models for better predictions?
Yes, advanced users can modify the AI models by adjusting parameters or integrating additional data sources.
Is gradio_pytrends_app suitable for beginners?
Absolutely! The app features an intuitive interface designed for both novice and expert users, with guidance provided at each step.