Goldirham Insight

AI-era investment research with source-labeled market data

Live site · Compare assets · Documentation

Goldirham Insight is an educational research and demonstration platform covering 234 assets across the AI build-out, growth funds, and crypto. It combines a broader reference catalog with 26 scored research assets, and every price and chart states whether it comes from a market feed or a simulation.

[!IMPORTANT] This is an educational project, not financial advice. See the disclaimer.

Contents

• Features
• Scoring model
• Coverage
• Data and provenance
• Tech stack
• Getting started
• Testing and CI
• Project structure
• Documentation
• Disclaimer

Features

Feature	Description
Research desk	Search by company or ticker, filter by theme or Tier 1, and rank by upside, safety, or AI exposure. Assets listed in more than one theme appear under each.
Custom blend	Weight the three scores from 0 to 5 to rank scored assets your way. Catalog entries awaiting scores appear after scored assets and show no invented blend.
Shareable views	The URL stores search, filters, ranking, and blend weights, so reloads, shared links, and the Back button restore the same results.
Asset comparison	Compare up to three assets side by side on scores, thesis, risks, and review status at /compare.
Asset pages	Research assets show their thesis, scores, and tier. New catalog entries show reference details and pending assessments. Every page includes a research record, source-labeled quote, and chart.
Asset logos	Local company, fund, and crypto marks on cards, search results, asset pages, comparisons, and share previews, with source URLs recorded for every asset.
Share previews	Generated link previews for the site, every asset, and every comparison. They show scores and review status, never prices.
Live desk	A market quote band where observed prices flash when they move, a feed of the day's largest moves, a featured-asset specimen panel, a framework scorecard, and header search (press /) that opens any asset's research directly.
Watchlist	Save assets in the browser and filter the desk to them. Nothing is sent anywhere and there is no sync, but a reader can export the list as a file and import it on another device, where it is merged with what is already saved.
Live quotes filter	Show only assets whose current quote comes from a market feed.
Feed status	/status lists each quote's source, age, and why it is simulated. A closed market's last price, including on scheduled NYSE holidays and 1:00 pm early closes, is not treated as a fault.

Scoring model

The 26 scored research assets use the same three factors, each rated from 0 to 10. The 208 new catalog entries show Scores pending research until an assessment is recorded. Score rankings place those entries after scored assets.

Factor	Question	Considers
Upside	What could go right?	Return potential if the thesis plays out, and the catalysts that could get it there
Safety	What could go wrong?	Balance-sheet strength, business-model resilience, and drawdown behavior
AI exposure	How deep is the connection?	How structurally tied the asset is to the AI build-out

Scores are editorial opinions. An asset is shown as Reviewed only when its record includes a named reviewer, an actual review date, supporting sources, and a rationale for all three scores. Every other asset is labeled Not reviewed. No authors, dates, or citations are invented.

Coverage

Category	Assets	Focus
AI Utilities	53	Power producers, utilities, grid equipment, and data-center infrastructure
AI Companies	53	AI platforms, GPUs, foundries, memory, networking, and software
Mega Stocks	51	Global large-cap companies and existing research selections
AI & Growth ETFs	52	Growth, technology, chips, AI, robotics, and infrastructure funds
Crypto	51	Digital assets from the filtered reference list and existing research

234 distinct symbols across 5 categories. Category counts overlap because assets can appear in more than one theme. All 234 have local brand logos in public/logos/, with provenance recorded in sources.json.

This is the beginning of the README. Read the rest at the original. Read the full README ↗