Stock deep dive

One symbol, every angle the server has, presented so the user can disagree with a specific part rather than with the whole thing.

The sequence

The fast path is workflow_run name=deep_dive input={"symbol":"BBRI"}, which runs the whole thing in one call and returns the pillars already assembled.

To drive it yourself, or to go deeper on one part:

1. analyze symbol=… — the engine. Indicators, trend, support and resistance, broker flow and a lean, in one result. It costs about 27 upstream requests at the default 260 bars, issued sequentially, so call it once and work from the result.
2. patterns symbol=… — 16 candlestick patterns with the context that makes them mean anything. A hammer in a downtrend is a signal; a hammer in chop is a candle.
3. timeframe_alignment symbol=… — daily against weekly against monthly. A setup that only exists on one timeframe is worth saying out loud.
4. Fundamentals — keystats, ratios, financials, ownership_composition and shareholders for the balance-sheet half.
5. news symbol=… — a catalyst, or its absence.

Presenting it

• Lead with the lean and its confidence, then the pillars that produced it. analyze returns these; use its words rather than inventing your own.
• Name the missing pillars. If fundamentals came back empty, say "fundamentals unavailable", not nothing. A silent gap reads as a checked box.
• Say what is Projected. Anything from the trading or e-IPO families has field names taken from Stockbit's web bundle and never seen on a live response. readFrom on the result names the wire key each value came from, and an absent field means "not recognised", not zero. Never fill a gap with a plausible number.
• Confidence is not a probability. "Three of four pillars agree" is a claim. "68% likely to go up" is not one this data supports.
• Give the chart. price_chart writes an SVG and returns its path; chartbit_open puts the real Stockbit chart in front of the user.

End with what would invalidate the lean — a level, a date, an earnings print — and then say plainly that this is analysis of historical data and not investment advice.