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04/Automation/Builder/2026

MarketIntelligenceScanner

A research pipeline covering fifty-four listed companies across enterprise software, semiconductors and infrastructure. It runs before the market opens, scores every name against the same rubric, and delivers a ranked brief — so the first thing I read each morning is a conclusion, not a spreadsheet.

iThe problem

  • Watching a large universe by hand does not scale, and doing it inconsistently is worse than not doing it — you end up comparing numbers produced by different standards.

  • Sentiment-driven decisions feel informed while being almost entirely narrative.

  • Existing tools either cost a subscription or hide their methodology, so the number arrives without any way to interrogate it.

iiThe approach

  • One transparent scoring rubric: a neutral baseline, adjusted by momentum, valuation, sentiment, news flow and risk. Every adjustment is visible and tunable, so a score can always be explained.

  • Concurrent data collection, because the bottleneck was network latency rather than computation.

  • Fundamentals pulled from primary sources — SEC filings parsed directly — rather than trusting a third-party summary of a summary.

  • Output is a ranked brief with the reasoning attached, delivered before the open rather than on request.

iiiWhat it produces

  • Fifty-four companies assessed on identical footing in a single pass, with the rationale for each ranking retained.

  • A ranking can be traced back to the specific inputs that produced it, which makes disagreement productive instead of circular.

  • Runs unattended on a weekday schedule through the same pipeline described in Market Intelligence Automation.

Stack

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