Browse all financial metrics
Ability to view all available financial metrics that can be charted, viewed in data tables and formulas
Compare Time Series Data
Conduct side-by-side comparison of any global stock, ETF, or any other symbol
Symbol search autocomplete with exchange
Add symbol search to now include the its related symbol exchange code too
Create, save, and share Correlations
Create and store multiple correlations, share with users
Symbol Correlations By Watchlist, Groups and more
compare correlation of your selected stocks with watchlist, market groups, and even user watchlist
View correlations analysis in Watchlist
View correlations among all the symbols within a watchlist, filter by date range and more
Historical Price Returns Distributions
Identify price patterns, and trends like extreme price movements, positive/negative returns, ratios and more
IPO Screener
View historical, current and upcoming IPOs
Visualization with Barchart and Bubble Charts
Turn any table information into Barchart and bubble chart visualization tool
Mini, Candle, and Interactive Charts
Explore historical price movements with visualization tools
View all international listings of a company
Ability to list listed companies for a parent company in global exchanges
Analyst Recommendations Screener
Browse Analyst Recommendations, Target Price Trends via a Screener
Insider Trades Screener
Browse, filter, scan insider transactions based on exchange, symbol type, buy/sell, targets and more
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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