Product
Agents for every part of a trader’s process.
TradeYodha brings together market preparation, live context, decision briefs, and review in one agentic workspace. It assembles evidence; the trader remains responsible for the decision.
A disciplined loop
Observe. Investigate. Explain. Learn.
Each research run begins with a defined question, not a generic prediction. The system gathers the relevant information, evaluates it through a specific lens, and produces a compact evidence brief with the context needed to review it.
Over time, the research record captures the cases that worked, failed, or remained uncertain. That memory is how the platform becomes more useful without becoming opaque.
- Context agent
Builds a shared view of the market event and the relevant environment around it.
- Evidence agent
Organizes observable market information into a consistent, reviewable research record.
- Research agent
Tests questions against preserved historical data and records what the evidence supports.
- Memory agent
Keeps a durable record of research decisions, annotations, and hypotheses across sessions.
Private by design. Public materials explain our approach at a high level. The underlying feature definitions, decision logic, thresholds, and research archive remain proprietary.