ETFs are Riding High: Can Firms Keep Up with Data Demands?
Exchange-traded funds (ETFs) are a growing force in global markets. Firms can use technology to calculate a fund’s Net Asset Value and make trading decisions.
Preparing for a Deal or No-Deal Brexit
2020 has already seen record-breaking market data rates due to increased volatility around the COVID-19 pandemic and the uncertainty of the US elections, but the year is not over yet and…
Liquidity Lamp Alpha Strategy Delivers 4X Better Returns
An introduction to Diesel, an alpha strategy based on Signum’s Liquidity Lamp end-of-day summary that can generate unique, uncorrelated alpha.
Machine Learning for Copycat Investors – Part 2
The first part of this series defines machine learning based alpha cloning strategies and the ways different market participants implement them, from hedge funds to ETFs and mutual funds. Part 1 reviews…
Using AI Trading Signals in Execution Strategies
Predictive trading signals can help achieve better execution. Learn how AI-powered signals can enhance execution algos.
US Elections Could Spur More Demands on Infrastructure
Market volatility prompted by the uncertainty of the US elections could push market data rates to new records, once again testing firms’ trading infrastructure.
Machine Learning for Copycat Investors – Part 1
Using machine learning for Alpha cloning is a popular strategy for copycat investors. Learn about the use of Forms 4 and 13F.
SEC Algo Trading Report Notes Signum
CTO David Taylor to describe at conference how predictive signals help firms compete Exegy is pleased to share a recently released report from the SEC on the risks and benefits…
Reducing Alpha Decay with AI Predictive Signals
As AI is more widely used for predictive trading signals, firms face potential alpha decay—lost alpha from crowded trades. Learn ways to mitigate this risk.
AI and Machine Learning for Predictive Trading — Part 2
Learn about predictive trading strategies that use AI and machine learning. Exegy can help your firm get ahead of even the fastest players.