Options
IV Movers by Expiration
Chain as of 2 Sep 2026 · 3,144 of 3,144 symbols currentThe largest implied-volatility moves in the option market, one row per underlying. ATM IV is taken at the contract whose delta sits nearest 0.50, not the strike nearest spot — on a skewed name the strike-picked reading inverts. Rich / cheap divides the expiration’s implied move by the move this stock has typically made over the same horizon across five years of prices; above 1.0 the option market is asking more than history.
Typical move is the median absolute return over the same number of calendar days, measured across five years of adjusted closes — a median rather than a mean, because a handful of crashes drags an average upward and makes every option look cheap. Δ IV z scores the move against this symbol’s own history of daily IV changes, so two points on a 20-vol utility outranks two points on a name that swings that much every day. Price is the latest close. The option columns are priced against the chain’s own spot, read out of it by put-call parity at the money — the loader reaches different symbols at different times, so a row’s quotes may be a session behind its neighbour’s and there is no one date to look the spot up by. Dividing a straddle by the wrong day’s price mis-states the implied move by a whole session’s range. As of is per row on purpose: the chain loader walks its universe oldest-first and does not reach every symbol every night, and a frozen chain still produces a perfectly smooth, entirely fictional IV. Amber means that row is speaking for an older sweep.
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.
Or start with