Investors placed billions of dollars into mutual funds and strategies that used models developed solely by an inexperienced analyst at Transamerica affiliate Aegon USA Investment Management, the SEC said in a statement Monday. The models contained numerous errors and did not work as promised, the regulator alleged.
The firm has recruited Shane Williams — who helped create UBS SmartWealth, the Swiss bank’s robo-advisory business — as its new head of client technologies, according to an email Williams sent to friends and colleagues on August 27. He joined AQR in August and will be based in the US.
As a subset of data science, machine learning uses specific algorithms and chosen datasets to train mathematical models to find patterns, make predictions, segmentation, and more.
When it comes to algo trading and automated investment, Python is one of the biggest players in the space, but many experts also use .NET/C# for its high performance and robustness. As we did some research on toolset you might look at to start your algo trading, we wanted to share this list for you.
LUCRE is a project with the ability to generate revenues in all kinds of market conditions through buying and selling with every good opportunity. Even in a current scenario of not so profitable crypto market, Lucre attempts to make a profit by making short-term trades through its Lucre trading Algo that runs on a Metatrader trading platform.