Simulate the market with thinking agents
MarketMind models the market with differentiated profiles — retail, institutional, whales and quants — and projects how they would react to a scenario before it happens.
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Finance & Trading
How will the market behave, and what combination of signals precedes the crisis?
What it is
We simulate financial-market behavior with agents that reason like retail traders, institutionals, whales and quants.
Markets aren’t an average — they’re millions of decisions made by profiles that reason differently: the retail trader following the narrative, the institutional following the mandate, the quant following the signal. Modeling them as a single curve erases precisely the information that matters.
MarketMind models them as what they are: differentiated agents each reacting to a scenario with their own logic. Sentiment, positioning and commodity signals feed the context, and the system’s memory learns which configurations preceded real moves — including the retail-euphoria-versus-fundamentals decoupling that often anticipates corrections.
How we do it
- 01 MarketMind models the market with differentiated agent profiles.
- 02 The Capital and Risk engines feed real-time signals.
- 03 The system’s memory learns which patterns preceded real moves.
Product / engine MarketMind
Signals we monitor
01 Market sentiment per asset across trader communities
02 Institutional flows and positioning that precede moves
03 Commodities and macro data as price context
04 Historical signal patterns that preceded corrections
Use cases
Detect euphoria before the top
The system measures when retail sentiment decouples from fundamentals — the combination that historically precedes corrections.
Is this investment advice?
No. CrowMind delivers intelligence and scenario simulation; investment decisions always belong to the client.