Thesis breaks
Find the condition that would make a market thesis weaker, slower, or no longer worth testing.
AI trading agents
Simulate trading perspectives before trusting one market thesis.
MiroFish helps researchers create multi-agent market scenarios that separate momentum, contrarian, news-driven, risk, and sentiment views.
This page describes research workflows only. MiroFish does not place trades, manage portfolios, or provide financial advice.
Why trading scenarios need more than one agent
A single market summary often hides the disagreement that matters. A momentum participant may read the same catalyst differently from a contrarian, a risk manager, a news watcher, or a long-term buyer.
MiroFish can turn those perspectives into a simulation so the final report shows conflict, triggers, and assumptions instead of a single overconfident forecast.
What to inspect in the output
Catalyst timing
Compare how different agents react before, during, and after a key news event or data release.
Risk language
Capture the cautionary points that should be checked with real data before making claims or decisions.
Inputs for better trading-agent simulation
Use the market question, time horizon, catalyst list, known arguments, sentiment context, risk limits, and competing interpretations. Then compare the first report with a rerun where one catalyst or assumption changes.
Updated: 2026-06-23.