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  1. Ingrid Andress Performs National Anthem Seven Months After Home Run Derby Flub

    by , 03-16-2025 at 10:21 AM


    Country singer Ingrid Andress marked her public return on Friday by performing another rendition of the national anthem during a Colorado Avalance game. The performance comes seven months after she apologized for a flubbed performance of “The Star-Spangled Banner” at the 2024 Home Run Derb, and agreed to enter rehab.
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  2. News Trading Made Easy (Part 3): Performing Trades

    by , 03-16-2025 at 04:44 AM
    Previously, we created an Expert Advisor to store economic data in our news calendar database. We also developed many classes to build a foundation for our expert to perform adequately. In this article, we will expand on these classes in our project to finally get to our goal of trading from economic data. Our next goal will be profitability which we will address in the next upcoming articles. For this article, we will add a new view to our database to display all unique events from the MQL5 economic calendar
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  3. French Inflation Falls Below 1% As Estimated

    by , 03-15-2025 at 05:22 PM
    France's inflation fell below 1 percent for the first time since early 2021, as initially estimated in February, final data from the statistical office INSEE showed on Friday.

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  4. Gwen Stefani Is Unbreakable on Acoustic Single ‘Still Gonna Love You’

    by , 03-15-2025 at 10:20 AM


    Gwen Stefani has shared a new song, “Still Gonna Love You,” alongside the deluxe edition of her most recent LP. The album, Bouquet Deluxe, features acoustic renditions of all of the songs on Bouquet, which dropped in November.

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  5. Trading with the MQL5 Economic Calendar (Part 6): Automating Trade Entry with News Event Analysis and Countdown Timers

    by , 03-12-2025 at 12:36 PM
    In this article, we take the next step in our MQL5 Economic Calendar series by automating trade entries based on real-time news analysis. Building on our previous dashboard enhancements (Part 5), we now integrate trading logic that scans news events using user-defined filters and time offsets, compares forecast and prior values, and automatically executes BUY or SELL orders depending on market expectations. We also implement dynamic countdown timers that display the remaining time until news
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