Metrics used to rank popularity of prediction markets
Generate stock trading signals and insights
Find and analyze stock news and prices
Predict stock prices with LSTM model
Forecast stock prices using RNN, LSTM, and GRU models
Predict future sales using CSV data and date range
Stock prediction
Predict stock market trends using LSTM, Prophet, and NeuralProphet
prediction
Analyze stock sentiment and trends
A Stock price prediction app using machine learning
Visualize stock price targets and trends
Predict stock prices for selected future days
Prediction Markets Ranking is a tool designed to track and visualize the popularity of prediction markets. It provides metrics and insights to help users understand which prediction markets are gaining traction, enabling them to make informed decisions. By focusing on stock market trends, it offers a unique way to forecast and analyze market behavior based on collective predictions.
• Real-time tracking: Monitor prediction markets as they evolve in real-time.
• Popularity metrics: Gain insights into which markets are trending based on user engagement and activity.
• Customizable filters: Narrow down markets by specific criteria, such as market category or time frame.
• Historical data: Access past performance to identify patterns and trends.
• Visual analytics: Interactive charts and graphs to help users understand complex data.
• Alert system: Receive notifications when a market's popularity shifts significantly.
What is the purpose of popularity metrics?
Popularity metrics help users identify which prediction markets are most actively engaged by the community, potentially indicating their reliability or relevance.
Can I customize the rankings?
Yes, you can filter rankings by specific criteria, such as market type or time frame, to tailor the results to your needs.
How often are the rankings updated?
The rankings are updated in real-time to reflect the latest changes in market activity and user engagement.