01
Save the starting point
Keep the original headline, source, companies, and the condition that would make the read wrong. Memory starts before hindsight does.
The AlgoThesis story method
Follow the news. Track the move.
See how market stories develop and how the stocks react. AlgoThesis keeps the original read, the companies involved, what would make it wrong, and the evidence that followed.
A repeatable reading habit
From news consumption to market memory.
02
Track what happens next
AlgoThesis brings back later coverage only when the company and catalyst evidence match. A shared ticker or topic alone is not presented as proof of a relationship.
03
Compare, don't cheerlead
Each update can reinforce, challenge, or simply develop the original read. In the case itself, Bull and Bear are labels for the evidence, not a team you're being asked to join. If you want to go further, a separate Bull/Bear control lets you lock in your own read on a story — once, graded against the same licensed closing prices used everywhere on the site, and never changeable after the tap.
04
Review what you learned
Use the timeline and verified prices since publication to revisit your reasoning. Price is context, not proof that one headline caused a move.
What this is
An educational news workflow.
- ✓ Sourced headlines and original publisher links
- ✓ Both sides of the case, stated up front
- ✓ A visible counter-case and “wrong if” condition
- ✓ Company-linked updates and verified price context
What this is not
A signal service or a promise.
AlgoThesis does not tell you to buy or sell, place trades, or claim that reading more news guarantees better returns. The purpose is narrower and more useful: make your starting assumptions visible so you can review them honestly later.
Read the risk disclaimer →