In a recent step-by-step video, options trader Gavin McMaster showed how to use Barchart’s candlestick screeners alongside options flow data and chart analysis to find trades with strong potential.

Self-mixing interferometry (SMI) is an emerging optical sensing technique for detecting and classifying microparticles in non-contact and label-free flowmetry applications. High precision and ...

Flowserve's merger with Chart Industries was called off, resulting in a $266M termination fee and a refocus on its standalone business. Q2 results were uninspiring in terms of bookings and sales, but ...

There comes a time before every big purchase when you might ask yourself, “Do I really need this?” If you don’t pause for a moment — and if you tend to blow your budget as a result — then you need to ...

Flowserve Corporation and Chart Industries, Inc. announced a merger of equals, aiming for diversification and $300 million in cost synergies, but investors reacted cautiously. Chart shareholders will ...

Establishes Scaled, High-Performance and Global Platform Serving Full Customer Lifecycle for Flow and Thermal Management with Strong Process Design and Systems Capabilities Enhances Predictability, ...

(Reuters) -U.S.-based equipment manufacturer Chart Industries and flow control systems maker Flowserve Corp agreed to merge in an all-stock deal, valuing the combined company at about $19 billion. The ...

Ever wondered how some folks seem to know what crypto is going to do next? While nobody has a crystal ball, understanding a crypto money flow chart can give you a real edge. It’s not as scary as it ...

US President Donald Trump‘s announcement of a broad regime of tariffs on April 2, 2025, sent markets tumbling. Fund investors responded by pulling $46 billion from long-term US open-end funds and ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...