Generate memory forecast for ML models
Predict future stock prices based on historical data
Analyze stock data using a simple moving average crossover strategy
Forecasting for PSX (Feb 2024 - Feb 2025)
Analyze and predict stock performance based on company information
Convert currency amounts between USD, EUR, and GBP
Uses Prophet to forecast crypto prices
Simulate stock returns using a momentum strategy
Analyze financial data and generate voice reports
Generate stock news sentiment analysis
Optimize stock portfolios and visualize performance
Perform historical and future portfolio analysis
Estimate stop-loss levels using ATR for trading strategies
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.