Prices and indicators describe parts of a market. Understanding a position also requires context: what is driving the move, how participants are positioned, and what could change the thesis.

Gigabrain is built around that research task.

Technical indicators, fundamentals, sentiment and macro conditions can point in different directions.

Useful analysis explains those relationships and disagreements. A single indicator cannot answer every market question.

Research should be available where it is used: in a conversation, an application or an AI agent.

Gigabrain provides research chat and API access so market analysis can become part of an existing workflow.

A price, a calculated indicator and an explanation of a market move are different kinds of information.

The aim is to make the reasoning inspectable, including conflicting evidence and limits in the available data.

Market data can be incomplete or delayed. Interpretation can be wrong, and conditions can change.

Analysis should help examine a decision without suggesting that the outcome is certain.

An agent needs market context alongside the strategy, time horizon and constraints it has been given.

Gigabrain supplies analysis that people and agents can reason over. Strategy, position sizing and execution remain separate decisions.

The long-term goal is to help agents work through more of the research and decision process.

That requires evaluating the quality of the analysis, handling uncertainty and defining when an agent should act or ask for input. Those are engineering and research questions, not promises of returns.