Where Retail Investors Find Signal in the Social Noise
A social finance platform combining real-time market data, AI-generated stock analysis, and crowd sentiment — built for the retail investor who deserves better tools.
80K+
Active Investors
4.6★
App Store Rating
500+
Tickers Tracked
$2.3T
Market Cap Discussed
About the Project
The Social Platform Built for Serious Investors
TickerTalk is a social finance platform combining real-time market data, AI-generated stock analysis, and crowd sentiment insights — creating the definitive community where retail investors discuss, debate, and discover investment opportunities together.
We built the complete iOS and Android platform including the real-time market data pipeline and AI analysis engine — a system where every discussion is anchored to verifiable data, and community sentiment can be measured rather than guessed at.
The Challenge
Retail Investors Were Drowning in Noise and Starving for Signal
Retail investors in the post-Reddit era had social media where anyone could pump a stock without accountability, Bloomberg terminals priced out of reach, and basic broker apps with no discussion features.
The client wanted to build the trusted middle ground: a social platform where investment discussions were tied to real data, claims could be checked against market reality, and community sentiment could be measured rather than guessed at.
The Gap
$23T
of US retail trading volume with no reliable, data-backed social layer to support decision-making
The market TickerTalk was built to serve — and win.
Our Role
What We Built
Mobile App Development
Full iOS and Android apps with real-time data rendering, optimistic UI updates, and offline caching of portfolio and watchlist data.
Real-Time Market Data Pipeline
WebSocket-driven live price feeds, chart data, fundamentals aggregation for 500+ US and UK listed stocks with sub-second latency.
AI Analysis & Sentiment Engine
Python ML pipeline generating daily 60-second AI stock briefs and computing community sentiment scores correlated to price movement.
Project Goals
Four Pillars of the Platform
Real-Time Market Data Hub
Live price feeds, charts, and fundamentals for 500+ US and UK listed stocks — the data layer that makes every discussion credible.
AI Stock Brief
Daily 60-second AI-generated analysis summary per ticker in plain English — backed by verifiable public data sources only.
Social Sentiment Score
Community sentiment aggregated from discussion tone — not just post volume. A 0.68 correlation with 5-day price movement, validated by academic study.
Portfolio Overlay
Connect brokerage via Plaid to see community sentiment alongside actual holdings — context for every decision in your portfolio.
"We had one rule for the AI analysis: if a junior analyst couldn't verify the claim against a public data source, the AI couldn't make it. Integrity over engagement."
TickerTalk Engineering Team — Apptechies
AI Flags Posts Against Market Reality
AI flags posts making specific claims and links them to supporting or contradicting market data in real time — every hot take checked against the numbers.
See What the Community Really Thinks
Visual representation of community sentiment across sectors and individual tickers over rolling 30-day windows — turn noise into a measurable signal.
The Definitive Space Per Stock
Dedicated discussion space per stock with pinned AI brief, earnings calendar, and verified expert contributors — the Bloomberg chatroom for everyone.
Results
Signal. At Scale.
80K+
Registered investors in first year
7
Average tickers discussed per user (3× broker app engagement)
0.68
Sentiment model correlation with 5-day price movement (academic study)
LSE
Partnership with London Stock Exchange for educational programme
Tech Stack
React Native · WebSockets · Node.js · PostgreSQL · Redis · Alpha Vantage/Refinitiv API · Python ML Pipeline · AWS · Plaid
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Let's Build the Platform That Earns Investor Trust
Real-time data, genuine community, verifiable AI. If you're building for serious investors, we've done it before.