Why this is different from asking a general chatbot

Paste a ticker into a general-purpose AI chatbot and you get an answer built from whatever the model happened to learn during training — which for a fast-moving stock is often months out of date, and never knows what you actually hold. Schema is built the other way around: every question is answered with your real watchlist and the current day's actual headlines already loaded into context, so "should I be worried about this" is a question it can genuinely engage with instead of hedge around.

What it can do

Reads your watchlist automatically, so "how's my portfolio doing" is a question it can actually answer
Pulls the day's real headlines for a symbol before it answers, instead of guessing from stale training data
Shows its sources — you can check the news it read, not just trust the summary
Keeps conversation history, so a follow-up question doesn't require re-explaining context
Runs on your choice of model, swappable per conversation

What it is not

It is not investment advice, and it will not tell you what to buy. Large language models — this one included — can state something plausible-sounding and wrong with total confidence, misattribute a headline, or miss context you have and it doesn't. Treat every answer as a starting point for your own research, the same way you'd treat a knowledgeable friend's opinion rather than a signal to act on. The full picture on what Schema can and can't be trusted for is on data sources & methodology.

Free while WOWS is in preview

Schema is part of every account during the preview period — no separate subscription, with fair-use rate limits to keep the service responsive. Sign up to start using it against your own watchlist.