Understanding how hedge funds use trading algorithms is key in assessing efficiencies - here we explore how these are tested so that they’re fit for purpose.

Learn about algorithmic trading, including what it is, why use it and some algorithmic trading strategies which you might find helpful.

Algorithmic trading allows investors to execute their trading strategy, which can involve trading multiple securities in separate markets at a fraction of a second. Algorithmic trading is ...

Also referred to as automated trading or black-box trading, algorithmic trading uses several market variables in its algorithm. These variables include price, time, and volume.

So algorithmic traders can profit on predicted trades that give 20 and 80 percentage points earnings based on the indexed fund's stock count just before rebalancing.

What is algorithmic trading? Learn how investors analyze data to discover trends, patterns and much more before investing in a company.

Explore quantitative trading, where math-driven strategies identify opportunities for profit, used by institutions and ...

The following Algorithm Q&A Special Report was crafted after conversations with the Buy and Sell sides of the Institutional Trading Community. This Report is not a re-hash of all things Algo, but ...

Algorithmic trading isn’t new — It’s a concept that’s been in existence since the early 1970s, with the computerization of order flow, and the1980s with the introduction of program trading ...

One of the big reasons that algorithmic trading has become so popular is because of the advantages that it holds over trading manually.