About StockSeer

AI that reads the market so you don't have to

We combine institutional-grade quantitative models with modern machine learning to surface high-confidence trade signals — in real time, for every investor.

73%Directional accuracy12-month trailing average across all covered equities
5,000+Equities coveredUS-listed stocks and ETFs updated every market day
2.4MSignals generatedSince launch in January 2023
18msMedian signal latencyFrom data ingestion to alert delivery

How our AI works

StockSeer's signal engine runs a four-stage pipeline that processes price action, fundamentals, sentiment, and macro data — then distills it into a single confidence-weighted signal.

01

Data ingestion

We ingest tick-level price data, SEC filings, earnings transcripts, options flow, and macroeconomic indicators from over 30 data providers — refreshed continuously during market hours.

02

Feature engineering

Raw data is transformed into 400+ engineered features: momentum indicators, volatility regimes, sentiment scores, relative-strength rankings, and cross-asset correlations.

03

Ensemble modeling

A stacked ensemble of gradient-boosted trees, LSTM networks, and transformer-based models votes on directional probability. Disagreement between models widens the confidence interval.

04

Signal scoring & delivery

Each signal is assigned a confidence score (50–99%) and a 7-day price target. Only signals above your configured threshold are delivered — cutting noise before it reaches you.

Built on transparency

Audited performance

Every signal is logged with a timestamp and forward-return outcome. Our accuracy figures are calculated from this immutable record — not cherry-picked backtests.

No black boxes

Each signal includes the top contributing features so you understand why the model fired — not just what it recommends.

Your data stays yours

We never sell user data or watchlist composition to third parties. Preference data is encrypted at rest and in transit.

The team

Dr. Priya Nair

Co-founder & Chief Scientist

Former quantitative researcher at Two Sigma. PhD in Statistical Learning from MIT. Led development of the core ensemble architecture.

Marcus Webb

Co-founder & CEO

Previously VP of Product at Bloomberg Terminal. 12 years building data products for institutional investors.

Yuki Tanaka

Head of Engineering

Ex-Google infrastructure engineer. Designed the real-time signal pipeline that processes 40M market events per day.

Ready to see the signals?

Start your free trial today — no credit card required. Get full access to Pro signals for 14 days.

Past performance of AI signals does not guarantee future results. StockSeer signals are for informational purposes only and do not constitute financial advice. Always conduct your own research before making investment decisions.