How to train your machine: JPMorgan FX algos learn to trade better

  • 📰 Reuters
  • ⏱ Reading Time:
  • 34 sec. here
  • 2 min. at publisher
  • 📊 Quality Score:
  • News: 17%
  • Publisher: 97%

Business Business Headlines News

Business Business Latest News,Business Business Headlines

JPMorgan Chase, a top player in the $5.1 trillion-a-day global currency market h...

LONDON - JPMorgan Chase, a top player in the $5.1 trillion-a-day global currency market has started applying a new technology that enables machine-trading programs to learn from previous trades and search for the most profitable way to execute them.

Algos, as these programs are known, are used by market makers to search at lightening speed for platforms with deeper liquidity pools or break up large orders into tiny bits tor reduce market impact. For example, a typical time-weighted average price order executed by an algorithm may aim to buy a particular amount of currency over a few minutes or hours. But if the order is not executed within that time frame, the machine will trade aggressively toward the end to buy the required amount.

“The objective of an algo is to minimize market impact by executing in an efficient and timely manner,” Chi Nzelu, head of macro eCommerce at JP Morgan, told Reuters.

 

Thank you for your comment. Your comment will be published after being reviewed.
Please try again later.

The Artificial Intelligence beast. The one that once wounded is able to come back to life. That has all power given. The Silicon Dragon. That can talk to every tribe in every languages. Every one is glorifying the beast today. And nobody seems to care about Life on the cross

I Poland

AFP Fanya exchange opening ceremony hosted by the Yunnan government! Fraud citizens 43 billion yuan!

I already make my coffee at home thanks

We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:

 /  🏆 2. in BUSİNESS

Business Business Latest News, Business Business Headlines