StockPulse combines institutional-grade fundamental analysis with modern machine learning to score every NASDAQ stock through a multi-stage pipeline. The result: actionable, transparent, and repeatable stock intelligence — tailored to your risk profile.
Every stock passes through multiple analytical stages before receiving a final score. Each stage adds a layer of intelligence.
The foundation of every signal
We ingest financial data across the entire NASDAQ universe — 3,383 stocks and counting. Earnings, balance sheets, cash flows, price history, sector classifications, and macro indicators are normalized into a unified analytical framework refreshed continuously.
Time-tested financial principles
Every stock is evaluated through a rigorous multi-factor lens spanning value, growth, quality, and momentum dimensions. We measure what matters — earnings quality, margin sustainability, capital efficiency, and competitive positioning — not just surface-level ratios.
Pattern recognition at scale
Our proprietary ensemble models identify non-linear relationships invisible to traditional screens. Trained on decades of market data, the models learn which combinations of signals predict outperformance across different market regimes and risk environments.
What most screens miss entirely
Beyond standard volatility metrics, we detect structural risks that create hidden fragility: sector concentration, regulatory exposure, geopolitical domicile risk, commodity sensitivity, and more. Each risk factor is calibrated to the investor's risk profile.
Most stock screeners give you filters. We give you intelligence.
Not one model fits all. Conservative and Aggressive profiles use entirely separate ML models, risk overlays, and scoring weights — because a retiree and a growth investor should never receive the same recommendation.
Every score comes with a full audit trail. See exactly which signals contributed, what penalties were applied, and why a stock ranks where it does. No black boxes.
Our scoring pipeline is deterministic and systematic. The same data always produces the same score. No discretionary overrides, no analyst bias, no narrative-driven picks.
We classify every stock by true operating domicile — not just listing exchange. China ADRs registered in the Cayman Islands are correctly flagged for regulatory and VIE structure risk.
The weight given to ML signals vs. fundamentals adapts to market conditions. In late-cycle environments, the system automatically reduces momentum exposure and increases quality emphasis.
Quotes, market caps, and price movements are sourced from institutional-grade market data feeds. Every page load reflects the latest available market state.
The same analytical rigor, calibrated to different investment philosophies. Choose the profile that matches your conviction.
Designed for capital preservation and steady compounding
Designed for maximum alpha and high-conviction opportunities
Complete data. Every stock in the NASDAQ universe is scored. No cherry-picking, no survivorship bias.
Robust analysis. Multi-factor fundamentals validated by machine learning. Each signal is cross-checked for coherence.
Structured methodology. A deterministic, repeatable pipeline that produces the same output given the same input. No discretionary overrides.
Full transparency. Every score comes with reasoning. See which signals contributed, what penalties applied, and why.