Identify under-valued stocks using Linear Regression
Analyze and visualize payoffs for long and short straddle options
Analyze crypto prices to suggest trades
Application de Prédiction du Prix de Vente auto
Predict house prices based on input details
Convert money between currencies
Optimize stock portfolios and visualize performance
Calculate AI model usage costs
Identify key support and resistance levels in stock prices
Simulate European call option prices using random numbers
Analyze stock price comovements based on past data
Display fair value rankings from multiple financial sources
Analyze stock price probability
A financial analysis tool designed to help investors identify undervalued stocks using linear regression modeling. This tool leverages historical stock data to predict future performance and detect stocks that are potentially undervalued by the market.
What stocks does the tool support?
The tool supports analysis of publicly traded stocks, allowing users to input data for any stock listed on major exchanges.
Can the model account for sudden market changes?
While the model is based on historical data, users can update the dataset regularly to incorporate recent market changes and improve prediction accuracy.
Do I need advanced technical skills to use this tool?
No, the tool is designed to be user-friendly. Basic knowledge of financial metrics and data analysis is sufficient to use it effectively.