Top Stock turns the same feeds professional desks watch into one ranked, mobile-first view: live quotes, SEC filings, congressional disclosures and social sentiment, scored continuously and surfaced only when something moves.
Mobile
Finance & Investing
USA
3 Months
Our mission with Top Stock was to give individual traders the kind of market awareness that used to require an institutional desk, without the noise that comes with it. We wanted an app that stays quiet most of the day, speaks up only when the data justifies it, and explains itself in a single screen.
Retail trading apps tend to fail in one of two directions. They either bury the user in raw charts and filings, or they simplify so far that the recommendation cannot be trusted. Financial data also arrives from very different sources: real-time quote feeds, slow-moving SEC and congressional disclosures, and noisy social sentiment, each with its own shape, latency and reliability. The challenge was to fuse all of it into one score users would act on, fast enough to matter, and to present it without ever implying a guarantee.
We designed and built the full mobile product for iOS and Android along with the marketing site at topstockalert.com. The scope covered brand identity, the alert and watchlist experience, the signal dashboard, congressional trade and filing feeds, sentiment scoring, push notification logic, and both App Store and Google Play launches.
Professional grade market data sat behind subscriptions retail traders could not justify. Free alternatives such as forums, social feeds and tip channels were unverifiable and often contradicted each other. The signals that mattered were already public in filings but buried and slow to surface. Existing apps pushed so many alerts that users muted them and missed the ones that counted.
The identity had to read as credible without borrowing the cold, cluttered look of a trading terminal. We built a dark-first system on an obsidian and graphite base with a single high-contrast signal accent, and dedicated gain and loss colours used only for real movement, never decoratively. Outfit carries the headlines and JetBrains Mono the numbers, so prices and tickers stay aligned and scannable at a glance.





The mark reads as an upward move without becoming another generic arrow. It holds at notification size, in a home-screen icon and in a single colour on the store listings.




Testing with active retail traders showed the failure mode was alert fatigue rather than missing data. Users muted apps that pushed everything, then missed the signals they had installed the app for. That pushed us toward a quieter default: fewer notifications, each carrying its reason, with a ranked feed for anything below the notification threshold.
Landing Page
A single scroll: what the app watches, what a signal looks like, where the data comes from, and download. No pricing table, no countdown, no invented testimonials.
Top Stock is a native build on both platforms against one shared signal service, so a score computed once is the score every user sees. The marketing site runs separately so copy and store links can change without shipping an app update.
The score is only as good as what feeds it. Top Stock pulls live market quotes, SEC filings, congressional trading disclosures and social sentiment, each arriving on its own schedule and in its own shape. The integration layer normalises them, timestamps everything to a single clock, and degrades gracefully when one source is late rather than showing a stale number as if it were current.
Notification logic is the product. Every candidate alert is scored, ranked against everything else that moved, and held back unless it clears the bar. Users set the sensitivity once; the app decides what reaches the lock screen and what waits in the feed.
Top Stock is live on both stores and continues to expand its coverage of filings and disclosure sources. The roadmap stays deliberately narrow: better signals rather than more surface area.
Design that solves real problems and delights users.
At AppCrops, we build solutions that remove barriers and empower users. With Cal AI, we transformed the tedious task of calorie counting into a simple, AI-powered experience that delivers real value and long-term adoption.
Alan Maxwell
VP -Customer Success
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