Crypto markets are influenced by many macro forces at the same time. Liquidity can appear risk-on while interest rates, the dollar, inflation, or volatility indicate risk-off. Traditional dashboards show these indicators separately, and generic AI assistants explain them without reliably proving where their conclusions came from. Macro Conflict Radar identifies these disagreements and turns them into verifiable macro intelligence. The architecture deliberately separates computation from judgment. Finance algorithms compute indicators and conflicts. The knowledge layer connects those results to economic concepts. Agentic skills then assemble the appropriate evidence and reasoning path for each question. The LLM narrates the result only after the claims have been checked. The platform converts raw macro observations into reusable, evidence-backed intelligence objects.
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