The anatomy of an ML-powered stock picking engine

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  • excalidraw

    Virtual whiteboard for sketching hand-drawn like diagrams

  • intelligent-trading-bot

    Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

  • > I have always kept in mind is that feature engineering is almost always the key difference between success and failure

    I also developed an ML-powered service heavily relying on feature engineering

    https://github.com/asavinov/intelligent-trading-bot Intelligent Trading Bot

    Its difference from Didact is that this intelligent trading bot is focused on trade signal generation with higher frequency of evaluation. It is more suitable for cryptocurrencies but also works for traditional stocks with daily frequencies so it could be adapted for stock picking. What I find interesting in your work is the general design of such kind of ML systems relying on feature engineering.

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    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

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