About StocksScores

Leveling the
playing field.

Institutions spend millions on quant teams to synthesize hundreds of signals into decisions. We packaged the same rigor into an engine anyone can use: 120 scorers, one number, zero guesswork.

The story

Born from frustration, built with rigor.

We were tired of the information asymmetry in financial markets. Large institutions had teams of quants synthesizing hundreds of signals. Retail investors were left staring at 15 indicators on a chart, trying to reach a verdict in their heads.

So we built an engine that does the synthesis for you. Not a black box — a transparent, auditable pipeline. 120 individual mathematical scorers, each returning 0–100, weight-aggregated into a single bullishness score. Every sub-score drillable, every weight tunable.

Then we started keeping score on ourselves. Every night's scores are recorded and measured against SPY-excess returns, so the weights can be tuned on evidence rather than intuition.

The ledger

2023

Founded

Born from frustration with information asymmetry in financial markets.

2024

120 scorers

The full scoring engine ships across technical, fundamental, and news domains.

2024

AI analyst

The agent goes live with SQL access to the market-data warehouse.

2026

Feedback loop

Every nightly score recorded and measured against SPY-excess returns: the record the weights get tuned on.

Principles

What the engine is built on.

P.01

Rigor over hype

Every scorer follows strict conventions: null for missing data, 50-centered confidence scaling, direction consistency. No manufactured signals.

P.02

Transparency

Every score is drillable. You can see exactly which of the 120 scorers pushed a stock up or dragged it down. No black boxes.

P.03

Democratizing alpha

Congressional trading data. Insider sentiment. Sector-relative fundamentals. The same signals institutions pay millions for — scored 0–100 for everyone.

P.04

Self-improving

Every score is recorded and later checked against the stock's return versus SPY. That record, not gut feel, is what the weights get tuned on.

The engine

Not a black box.
A glass house.

  • 120 individual scorers across technical, fundamental, and news domains
  • Sector-relative fundamental scoring with 14 curated sector and industry range sets
  • Congressional trading, insider sentiment, SEC filing analysis
  • Every nightly score recorded and measured against SPY-excess returns
  • An AI agent with SQL access to the market-data warehouse
Scoring engineSelf-improving
Individual scorers120
Score domains3
Data points per stock50,000+
Sectors calibrated14
Timeframes8 · 5m–3mo
Scored nightly4,000+

Ready to stop guessing?

The full analysis page is free forever. No credit card, no commitment — pick a ticker and read the number.