Research
Updated 16 September 2026, 08:02 ET
FundSpec publishes what its models and data pipelines produce every trading day as plain pages, beside the guides that explain how to read them.
- Stocks
500 data pages, one per company: price, analyst targets, earnings, fundamentals, insiders, filings.
- Sectors
72 sector pages with industries, leaders and laggards over five horizons.
- Market editions
A dated edition per trading day: indices, sectors, analyst actions, earnings and AI model calls.
- AI day trading models
The scoreboard and a record page for each of 97 models.
Guides
- How to read unusual options activity
- What analyst ratings and price targets actually tell you
- Earnings season: estimates, surprises and price reaction
- Sector rotation and sector performance
- Momentum, trend and technical indicators
- How FundSpec AI trading models work
- Day trading signals: what an intraday call is and is not
- A practical guide to discounted cash flow valuation
- Relative valuation: multiples, peers and when they mislead
- Building a stock screen that finds what you mean
- Comparing two stocks side by side
- Glossary
How these pages are produced
The data pages are generated from the same collections the FundSpec apps read: prices and company profiles from licensed market data providers, statements from SEC EDGAR filings, analyst actions and earnings estimates from licensed providers, and the model records from FundSpec's own verification pipeline. Every sentence on a data page is produced by a fixed rule over the figures it states, so nothing is estimated in prose that is not in the table beside it. Pages are rebuilt on a schedule and carry the time of their last change. Subscriber-only outputs, such as the fair value estimate, the momentum reading and unusual options activity, are not published on these pages; the app shows them.
Method notes for every figure are in Methodology; questions go to Contact.