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

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

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

Explore generative AI in financial services: how it works, top use cases, customer experience gains, key risks, and ...

A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.

Abstract: In this decade the classical computers can surpass the computational power anticipated using quantum computers, bringing transformative advancements across multiple industries, with finance ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Olivia Peluso is an experienced journalist with over 1,500 published stories across personal finance, economics, and public policy. Katie Miller is a consumer financial services expert. She worked for ...

Generative models aim to simulate realistic effects of various actions across different contexts, from text generation to visual effects. Despite efforts to build real-world simulators, leveraging ...

The PyRenew package is a flexible tool for simulation and statistical inference of epidemiological models, emphasizing renewal models. Built on top of the numpyro Python library, pyrenew provides core ...