Show the reasoning
Users should be able to inspect the evidence, uncertainty and counterpoints behind an observation.
About TickerHoof
AI research should explain itself
TickerHoof was created around a simple idea: a model output is more useful when you can see why it exists, what could make it wrong and how similar outputs performed.
Our product principles
Clarity before confidence
Measure what is published
Claims about model quality should be tied to defined, reviewable outcomes rather than selective examples.
Keep decisions human
TickerHoof does not automatically trade. Users remain responsible for checking current information and deciding independently.
Secure by default
MFA, verified email, restricted integrations and revocable sessions are part of the product—not optional extras.
Present both sides
A useful research tool should expose the evidence against its own conclusion.
Improve visibly
Model versions, analysis runs and measured outcomes create a foundation for accountable iteration.
Built for thoughtful investors
Not more noise. A better research routine.
TickerHoof is for people who want to use AI without surrendering judgement. It aims to reduce time spent organising evidence while increasing the attention given to risk and uncertainty.
- Clear, repeatable research cards
- No promises of effortless returns
- No automatic order execution
- No requirement to connect a portfolio
The TickerHoof test
Can a user answer these four questions?
- What is the model observing?
- Why does it think that?
- What could make it wrong?
- How will the observation be assessed?
When those answers are missing, a score alone is not enough.