Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

2026 Forecast: ’Tis the Season for Wild Guesses

Like Wall Street, we could spitball a 2026 price forecast for the S&P 500, but why? It’s a fruitless endeavor. No one has ...

Top 5 Prediction Market Platforms To Keep An Eye On in 2026

The Edge: Polymarket offers the deepest order books in the industry. With the anticipated launch of the POLY token in 2026, ...

Forecasting the world in 2026

FT writers’ predictions for the new year, from the likelihood of higher Trump tariffs to the future of interest rates and the ...
techtimes

Forecasting the Future: How AI Is Reshaping Financial Predictions

The innovation at the heart of this research lies in combining Long Short-Term Memory (LSTM) networks and Recurrent Neural Networks (RNNs) to tackle financial time series data. These architectures ...
IEEE

Long Short-Term Financial Time Series Forecasting Based on Residual Multiscale TCN Sparse Expert Network and Informer

Abstract: Due to the inherent high volatility and complexity of financial markets, traditional time series forecasting models face numerous challenges in handling both short- and long-term predictions ...
Frontiers

CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting

Introduction: Transformer models have demonstrated remarkable performance in financial time series forecasting. However, they suffer from inefficiencies in computational efficiency, high operational ...
Corridor Business

Cornell students use AI to improve financial forecasting tools

Two Cornell College students are using artificial intelligence (AI) to develop a more efficient tool for financial forecasting as part of this year’s Cornell Summer Research Institute (CSRI). Jillian ...