Key Observations
Auto-generated read of the session — flow, VWAP posture, timing of the highs/lows and the standout 30-minute windows.
Intraday Price · VWAP · Volume
1-minute candles with cumulative VWAP overlay (ET). Volume coloured by bar direction.
Cumulative Money Flow ($)
Running signed dollar volume — green = net $ into the stock, red = net $ out.
Buy / Sell Volume Delta
Cumulative up-volume minus down-volume — an order-flow pressure proxy.
Cumulative Intraday Return
Session P&L path rebased to the prior close (0% = yesterday's close).
Buy / Sell Pressure
Share of session volume trading on up-ticks vs down-ticks.
Volume Profile (Volume @ Price)
Where the day's volume traded. POC & 70% value area highlighted.
15-min Momentum
Net return per 15-minute block through the session.
30-Minute Session Map
How the market traded in each 30-minute block — return (bars) vs volume (line). Best / worst / heaviest blocks highlighted.
Tracking the Whales · Extreme Volume Anomalies
Each bubble is a notable-volume bar (≥1σ) — size = shares traded, colour = up/down, the two biggest prints called out.
Unusual 1-min Prints
Bars with abnormal volume (≥2σ above the session mean).
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
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