Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
IEEE

An Effective Summary Preprocessing Method for Time Series Forecasting With Multiple Temporal Granularities

Abstract: Time-series forecasting plays a pivotal role in decision-making. Recently, as deep learning models have shown exceptional performance in time-series forecasting, research in the field of ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
24/7 Wall St

AI Price Forecasts for Bitcoin, Ethereum, Solana, and XRP in 2025—Which Models Hold Up?

ChatGPT’s December 31 forecast was most bullish: BTC $92K (+4.5%), ETH $3,200 (+7.9%), SOL $195 (+60%), XRP $2.02 (+7.4%). Claude most conservative: BTC $90K (+2.3%), ETH $3,100 (+4.6%), SOL $185 (+52 ...
IEEE

Daily Load Forecasting Using Explainable AI-Driven Method With Integrated Error Correlation

Abstract: This paper presents a novel, explainable, and weather-independent day-ahead load forecasting (DALF) method. The proposed methodology integrates calendar-based segmentation using ...
GitHub

QuantumStock - Advanced AI Stock Price Prediction System

QuantumStock is a cutting-edge, AI-powered stock price prediction system that harnesses the power of quantum-inspired algorithms and advanced LSTM neural networks with attention mechanisms. This ...
GitHub

Time Series Forecasting Engine

Time Series Forecasting Engine is a comprehensive, production-ready Python framework for advanced time series forecasting. It combines statistical models (ARIMA), machine learning approaches (Prophet) ...