Every name you follow, and why it's moving.
Build boards with your own sections, see each move explained, and never get caught out by an earnings date.
No credit card required.
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Your sections, your order
Group names under your own headings and drag them into place.
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Why it's moving
Click a name to see each session measured against SPY and its sector, with earnings and volume spikes tagged.
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Earnings, dividends, splits
Upcoming events are marked right on the board. Hover for the last two and the next two.
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Returns at a glance
Daily change, 1M, 3M and 1Y returns, relative volume and market cap, sorted within each section.
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AI read on your list
One tap for what's moving, sector and size concentration, and the standouts, with news for your names.
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Share with your team
Give colleagues view or edit access to any list.
Start your first watchlist.
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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