The future of trading belongs to ecosystems where algorithms and informed human decision making work together in disciplined ...

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

Abstract: Effective content recommendation in new media relies heavily on algorithmic approaches to enhance user engagement and satisfaction. This abstract explores the current landscape of content ...

Abstract: In the backdrop of the digital era, the demand for second-hand trading within campuses has seen a significant rise. This project aims at designing a second-hand trading platform that merges ...

The system is designed to identify technical patterns in equities, select optimal vertical spreads based on configurable criteria, and execute trades with proper risk management controls. python/ ...

Carina Hong, 24, raised $64 million to build an AI mathematician that discovers new theorems and solves century-old problems.

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

Algorithmic trading, once the domain of global hedge funds, is now increasingly relevant for HNIs and family offices in India and abroad. Using pre-defined rules and automated execution enhances ...

jquants-pairs-trading is a python library for backtest with japanese stock pairs trading using kalman filter, J-Quants on Python 3.8 and above. jquants-algo is a python library for algorithmic trading ...

Broadcom reported AI-driven revenue surged 74% YoY, with FQ1'26 guidance for AI revenue to double to $8.2 billion, yet margin pressure persists. The semiconductor company got hit with overblown market ...