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    Home»Machine Learning»Introducing My New App: Real-Time Investment Risk Analyzer | by Aniket Biswal | Feb, 2025
    Machine Learning

    Introducing My New App: Real-Time Investment Risk Analyzer | by Aniket Biswal | Feb, 2025

    Team_AIBS NewsBy Team_AIBS NewsFebruary 23, 2025No Comments2 Mins Read
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    Hey everybody! 👋

    I’m tremendous excited to share a challenge I lately constructed and deployed on Railway — an app that analyzes the real-time dangers related along with your funding portfolio. In case you’re like me and all the time wish to know what dangers

    💡 What Does It Do?
    Merely put, this app provides you a dwell danger evaluation based mostly in your present portfolio. Right here’s the way it works:

    1️⃣ Reside Portfolio Replace: It fetches your newest funding knowledge from an Excel file.
    2️⃣ Knowledge Refresh: With a single POST request, it updates the database with essentially the most present knowledge.
    3️⃣ Threat Evaluation: The app then analyzes shares, scours the online for the newest market sentiments, and presents potential dangers associated to your investments.

    The very best half? ⚡ It’s hosted on Railway, so it runs easily within the cloud — no native setup wanted!

    🔍 Why I Constructed This
    Investing could be tough. Markets fluctuate, and dangers are sometimes arduous to trace in actual time. I needed a device that would:

    – Repeatedly monitor portfolio dangers 🧐
    – Present real-time, data-backed insights 📈
    – Be light-weight, scalable, and simple to make use of 🌐

    ⚙️ How It Works (Simplified Movement)

    1️⃣ You present a dwell Excel portfolio with investments and values.
    2️⃣ The app updates its database through a POST refresh request.
    3️⃣ It retrieves your investments and makes use of AI-powered evaluation (with just a little assist from ChatGPT 😉) to present you detailed danger insights, pulling from the newest market knowledge.

    ✨ Key Options:
    ✅ Actual-time portfolio updates
    ✅ Market danger evaluation based mostly on dwell knowledge
    ✅ Deployed seamlessly on Railway with Docker
    ✅ Accessible through easy API endpoints

    💬 Would love to listen to your ideas!
    Have suggestions? Received concepts for enchancment? Or simply curious in regards to the tech stack? Drop a remark or attain out!

    👉 Observe me for extra cool initiatives like this. Till subsequent time,
    Completely happy investing! 🚀📈



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