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.earnings_moves(NVDA)
→ 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.
Or start with
“Screen the S&P 500 for oversold quality names.”
“Compare AAPL and MSFT over the last 5 years.”
“What moved the market today, and why?”
“Backtest a 50/200 crossover on TSLA.”