In trading on Monday, shares of the Global X MLP ETF (Symbol: MLPA) crossed above their 200 day moving average of $49.31, changing hands as high as $49.56 per share. Global X MLP shares are currently ...

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

MLPA delivers a 7.26% yield with 58% concentrated in five energy infrastructure MLPs. Energy Transfer leads holdings with 1.8x distribution coverage and recent insider buying of $33.76M. AMLP offers ...

For the first time, Instagram will start letting you control the topics its algorithm recommends, much as you now can on TikTok. The new feature is starting with the Reels tab but will eventually come ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...

Threads is testing a new way for users to manipulate their own recommendation algorithm. The feature, aptly called "Dear algo," allows users to post a message to the algorithm with the note "dear algo ...

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript Jack Conte, the chief executive of Patreon, a platform for creators to monetize their art and content, outlines his ...

Global X MLP ETF (MLPA) remains a buy despite lagging the S&P 500, offering a high 7.79% yield and attractive valuation. MLPA trades at just 10.75x earnings with a strong long-term EPS growth rate, ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.