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.
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…
An introduction to Diesel, an alpha strategy based on Signum’s Liquidity Lamp end-of-day summary that can generate unique, uncorrelated alpha.
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…
Predictive trading signals can help achieve better execution. Learn how AI-powered signals can enhance execution algos.
Market volatility prompted by the uncertainty of the US elections could push market data rates to new records, once again testing firms’ trading infrastructure.
Using machine learning for Alpha cloning is a popular strategy for copycat investors. Learn about the use of Forms 4 and 13F.
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…
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.
Learn about predictive trading strategies that use AI and machine learning. Exegy can help your firm get ahead of even the fastest players.