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Research

Durva Dongre edited this page Jun 4, 2025 · 2 revisions

๐Ÿง  Research Phases

aka: How We Turn Existential Dread into Feature Releases

Because no great project started with "we have it all figured out" โ€” welcome to our master research plan, broken into semi-believable phases.


We begin by building the foundation. Not because it's glamorous โ€” but because chaos needs structure.

  • ๐Ÿ” Data Ingestor โ€” Bring in raw data from APIs, PDFs, Excel files, and possibly, handwritten financial notes from 2003.
  • ๐Ÿงฎ Fundamental Analyzer โ€” Calculate valuations, financial ratios, and other stuff MBAs like to throw around.
  • ๐Ÿง  Strategy Builder โ€” Turn market noise into alpha (or at least convincing-looking charts).
  • ๐Ÿ“Š Report Generator โ€” Export findings into formats your boss will pretend to read.
  • ๐Ÿ–ผ๏ธ Visualization Layer โ€” Because if itโ€™s not in a graph, did it even happen?

๐ŸŽฏ Goal: Ship a working web app with these core modules.
๐Ÿงพ Why web app first? Because we donโ€™t want to pay to host user data or run a fleet of servers. Let your browser do the heavy lifting.


Because some people still panic when they see a terminal or a browser tab labeled "localhost".

  • ๐Ÿงช Package everything into a shiny desktop app using Electron, Tauri, or black magic.
  • ๐Ÿ—‚๏ธ Make offline mode work โ€” for those who donโ€™t trust clouds (or their WiFi).
  • ๐Ÿงผ Add UX polish until it looks like a product and not a hackathon project that didnโ€™t sleep.

๐ŸŽฏ Goal: Run locally. Look professional. Crash less than early Steam games.


This is where it gets spicy. We go beyond numbers into narratives.

  • ๐Ÿ“ฐ News Sentiment Engine โ€” NLP-based system that reads news, cries internally, and scores companies accordingly.
  • ๐Ÿ Company Scoreboard โ€” A dashboard showing:
    • Fundamental value
    • Sentiment score
    • Market reality vs what it should be (lol)
  • ๐Ÿง˜โ€โ™‚๏ธ Create a ranking system so users can say: โ€œI told you this company was overvalued!โ€ (even if they didnโ€™t)

๐ŸŽฏ Goal: Combine fundamentals, media bias, and intuition โ€” then call it "quantitative analysis."


We stop being a side project and start being a movement (or at least a GitHub org with ambition).

  • ๐Ÿง‘โ€๐Ÿ”ฌ Publish research openly with community collaboration.
  • ๐Ÿ“š Maintain a live knowledge base of companies, sectors, and strategies.
  • ๐ŸŽ“ Accept contributors, students, and skeptics.
  • ๐Ÿ Maybe even build a plugin ecosystem (because every good cult needs extensibility).

๐ŸŽฏ Goal: Be the open-source QuantInsti / Morningstar / Hogwarts for finance nerds.


๐ŸŒ€ Final Notes

Each phase builds toward the dream of:

"Making bad decisions faster with AI"

Or at the very least: fun to mess with.

๐Ÿ“š Navigation

  • ๐Ÿ“‹ Research
    What we're actually going to build vs what we dream about
  • ๐Ÿ—บ๏ธ Roadmap
    Our master plan (subject to reality checks)
  • ๐Ÿงฉ Components
    The building blocks that hopefully work together
  • ๐Ÿ“ก API Guide
    Interfaces to every modular service, from market data to tax
  • ๐Ÿ’ฐ Funding
    How we keep the lights on (and the servers running)
  • ๐Ÿ—๏ธ Architecture
    The technical deep dive for masochists
  • โœ… Todo List
    Whatโ€™s pending, whatโ€™s burning, and whoโ€™s guilty
  • ๐Ÿค Contributing
    Join the chaos, we have cookies*

*Cookies not guaranteed

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