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Case Study

StockScope

A full-stack stock-research platform with analytics-backed insights and explainable, plain-English summaries.

At a glance

Problem
How can a non-expert understand a stock — earnings, valuation, risk and scenarios — at a glance and in plain English?
Built
A full-stack web app with a transparent risk score, volatility-based forecasts and LLM-generated summaries.
Models / methods
Rule-based risk scoring, volatility-based scenario bands, LLM explanations.
Result
An interpretable dashboard where every number is explained and forecasts show both sides.
Strength shown
Full-stack delivery, API integration, responsible/explainable design.
Links
Case StudyRepo available on request

Visual proof

Coming soon
Stock dashboard screenshot
Coming soon
Earnings / valuation / risk breakdown
Coming soon
LLM-generated summary example
Coming soon
Bull / base / bear forecast bands

Charts and diagrams are real outputs and architecture from the project.

01Objective

Help non-expert investors understand a stock at a glance — earnings, valuation, risk, and scenarios — in plain English, without black-box hype.

02Dataset / input

Live market data from a financial-data API (prices, fundamentals, earnings), cached server-side to stay within free-tier limits.

03Model approach

  • A transparent, rule-based risk-and-stability score that shows its working
  • Bull / base / bear forecast bands derived from each stock's own historical volatility
  • LLM-generated plain-English explanations grounded in the live data

04Results / metrics

A responsive dashboard where every number is explained and every forecast shows both upside and downside — deliberately interpretable rather than a single opaque prediction.

05Deployment / reproducibility

Next.js App Router with a Supabase (Postgres + row-level security) backend, layered caching, and a Vercel-ready build. API keys stay server-side.

06Limitations

  • Educational tool, not financial advice
  • Scenario forecasts are volatility-based estimates, not guarantees

07Future improvements

  • Portfolio-level views and watchlist alerts
  • Richer fundamentals and peer comparison

08Key takeaway

Shows I can ship a complete, explainable data product — from API and caching to UI — not just a model in a notebook.

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