A penny-stock research engine that runs itself overnight.

The challenge

Retail-investor research is only credible if it's consistent, fast, and honest about its own track record — and it has to reach a large audience the moment a signal appears. Doing that by hand doesn't scale. The goal was a platform that turns raw daily market data into ratings and picks automatically, publishes them behind a freemium paywall, and distributes each call across every channel at once.

What we built

• The analysis engine. An automated overnight pipeline downloads prices, volume and corporate actions across the major North American exchanges, cleans and archives every record, then computes 30+ technical indicators — moving averages, MACD, RSI, Bollinger Bands, stochastics, ADX, ATR and more — per stock.
• Signals & ratings. Crossover and breakout detection (golden cross, MACD/RSI signals, abnormal-volume flags) feeds a proprietary algorithm that distills everything into a single plain-language Buy / Sell / Hold rating, then surfaces the strongest candidates as daily picks for expert review.
• A self-scoring track record. The engine automatically follows up its own past picks (next-day, 7-day, 30-day, best-in-window) to publish a real, data-backed performance history — not cherry-picked wins.
• Multi-channel distribution. One approved pick is simultaneously emailed to preference-segmented members, pushed to mobile devices, auto-posted to X and Facebook, and syndicated through a 7-feed RSS network — with a Google News sitemap for fast indexing.
• Publishing & freemium paywall. Long-form Special Reports (US & Canada), news briefs, and company spotlights run through an in-browser authoring pipeline, layered across anonymous, free "ProLite", and paid tiers with automatic article truncation and upsell.
• Ad network & billing. A sponsored ad server with fair rotation and campaign dashboards that tie share-price movement to on-site, email and social engagement, plus Stripe-backed subscriptions with webhook-driven activation and dunning.

Under the hood

A .NET 10 solution mixing ASP.NET Core MVC and a Vue.js SPA (progressively replacing legacy WebForms), on EF Core 10 over SQL Server, with Windows-scheduled console apps running the nightly download → analysis → rating → distribution → self-scoring pipeline. Market data from QuoteMedia; email via Mailchimp; push via Firebase.

Outcome

A fully automated research operation — ingest to indicators to ratings to multi-channel distribution to a self-scored track record — serving a 50,000-plus member base at roughly 1.9M page views a month, run by a small team.