More financial data, linked research, and deeper earnings intelligence

This update focuses on widening the connections between symbol pages and the agent so they share more evidence with each other. It is not just about adding more numbers, but about showing why this information matters now.

More connected financial data

• We expanded the range of core financial and market information available on symbol pages.
• Company overview, events, earnings, and supporting indicators now read more naturally together in one flow.
• That means less page-hopping to assemble the core evidence behind a decision.

Linked research actions

• Analyst research actions are now connected more closely to each symbol's story.
• Target-price changes, rating revisions, and recent research updates are easier to read in context.
• The focus is not just on listing headlines, but on tracking who changed their view and in what direction.

Stronger agent features

• The agent now draws from more symbol and market context when answering.
• It does a better job combining quantitative signals, technical checks, calendars, and research shifts into one explanation.
• In practice, this moves the experience closer to asking one question and getting the scattered evidence stitched together.

Earnings and transcript analysis

• We started connecting earnings schedules more tightly with IR materials such as presentation decks, webcasts, and transcripts.
• After an earnings event, the goal is to interpret not only the numbers but also management commentary and the flow of the call.
• In Phase 1, we added an IR Materials section to the earnings tab, and existing transcript links already stored on earnings events now appear there automatically.

Why we shipped this

Investment decisions rarely come from a single data point. Context appears when financials, research changes, earnings events, and management commentary are connected.

This update is about reducing the cost of building that context. Next, we plan to expand into transcript topic tagging, industry-level commentary comparison, and quarter-over-quarter change tracking.