Are you thinking about learning to code? Are you just starting to code? Have you been writing code for a while? This will provide a high-level guide to what your journey will be like or already is. This guide is generally about Python but can be applied to a lot of other structurally similar languages.

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If an accessible ML model was able to pick stocks effectively, everyone would use it, and its recommendations would already be priced in, eliminating any alpha. But what if you come up with something really good that no one else has? What do you do?

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This is the second piece in a three-part series dedicated to sourcing potential investment ideas by reimagining whom we think of as an “influencer.” The goal is not to use AI/ML to evaluate brands. Instead, the goal is to uncover micro-influencers, that is, individuals who’ve proven they are already elite brand evaluators through their transaction data. If you’re an early investor in private companies, stick around.

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System2 uses Notion as our CRM system and beyond, from project management to office guidelines, including data vendor management and OKRs. However, the magic happens when leveraging the Notion API. But let’s unpack first how we made Notion the essential back-office function of the company.

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Welcome to the first edition of “In the Minds of Our Analysts,” wherein a System2 Analyst investigates, pens down, and shares their perspectives on various topics. In this article, Aquiba Benarroch looks at the fall of Voyager.

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System2 blended quantitative data from six different alternative (and traditional) data vendors to evaluate potential gains from using alternative data for systematic investing. Quant strategies are a departure from our regular work of answering questions about company fundamentals, but part of doing data science on demand is being flexible, so here’s what we did.

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