Generate memory forecast for ML models
Predict stock prices based on historical trends
Manage and track your stock portfolio interactively
Generate trading advice from candlestick charts
Analyze stock data for trading indicators
Generate stock news sentiment analysis
Analyze stock data using a simple moving average crossover strategy
Perform historical and future portfolio analysis
Optimize stock portfolios and visualize performance
Analyze financial data and generate voice reports
Download and analyze Indian stock data
Predict domestic building construction cost range
Simulate European call option prices using random numbers
Train Memory is a specialized tool designed for financial analysis and machine learning workflows. It focuses on optimizing memory usage and performance by generating memory forecasts for ML models. This tool helps users understand and manage the memory requirements of their machine learning models, ensuring efficient resource allocation and scalability.