Mondo Visione Worldwide Financial Markets Intelligence
Track all markets on TradingView

FTSE Mondo Visione Exchanges Index:

News Centre

MV 468 x 60 Your Brand Our Audience

  • Robinhood Markets, Inc. To Announce Fourth Quarter And Full Year 2023 Results On February 13, 2024

    Date 04/01/2024

    Today, Robinhood Markets, Inc. (“Robinhood”) (NASDAQ: HOOD) announced that it will release its fourth quarter and full year 2023 financial results on Tuesday, February 13, 2024, after market close. An earnings conference call will be held at 2:00 PM PT / 5:00 PM ET on the same day. A live webcast of the call and supporting materials will be available at investors.robinhood.com. Following the call, a replay and transcript will also be available on the same website.

  • MIAX Options, MIAX Pearl Options, And MIAX Emerald Options: Electronic Filing Of Annual Reports

    Date 04/01/2024

    The annual report filing described in MIAX Options, MIAX Pearl Options, and MIAX Emerald Options Rule 803 Audits, has transitioned to the electronic filing platform available via FINRA’s Firm Gateway.

  • Nadex Amends Rollover Schedule For Its Gold, Silver And Japan 225 Contracts

    Date 04/01/2024

    Pursuant to Section 5c(c)(1) of the Commodity Exchange Act, and Commission Regulation §40.6(a), Nadex has submitted to the Commission its intent to amend its rollover schedule for the underlying futures month used in the settlement calculation of its Gold, Silver and Japan 225 contracts in order to align those contracts with the volume roll for other Nadex Commodity and Equity Index Contracts. This submission will become effective on January 19, 2024.

  • SIFMA Fixed Income Market Close Recommendations In The U.S., The U.K., And Japan For The U.S. Martin Luther King Day

    Date 04/01/2024

    SIFMA has confirmed its previous recommendation for a full market close on Monday, January 15 for the trading of U.S. dollar-denominated fixed income securities in the U.S., U.K., and Japan in observance of the U.S. Martin Luther King Day Holiday.

  • BIS: Testing The Cognitive Limits Of Large Language Models

    Date 04/01/2024

    Key takeaways

    • When posed with a logical puzzle that demands reasoning about the knowledge of others and about counterfactuals, large language models (LLMs) display a distinctive and revealing pattern of failure.
    • The LLM performs flawlessly when presented with the original wording of the puzzle available on the internet but performs poorly when incidental details are changed, suggestive of a lack of true understanding of the underlying logic.
    • Our findings do not detract from the considerable progress in central bank applications of machine learning to data management, macro analysis and regulation/supervision. They do, however, suggest that caution should be exercised in deploying LLMs in contexts that demand rigorous reasoning in economic analysis.

MV 120 X 600 Hard to Reach