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Market News
Sector breadth, performance and valuation. Click a headline to read it — the arrows walk the list.
Sectors
- Friday'S DFM Sector Map: Industrials Rising to the Top
- What Moved DFM Sectors Thursday? Industrials Up Front, Financial Services Back
- Real Estate Tops DFM Sector Performance Wednesday
- DFM Sectors Close Lower Tuesday: Industrials Holds Up Best
- Real Estate and Industrials Mark the Ends of DFM Sector Moves
- Friday'S DFM Sector Map: Real Estate Near the End
- DFM Sector Scorecard Thursday: Where the Selling Was Deepest
- DFM Sectors on Wednesday: Industrials Best, Financial Services Worst
- DFM Sector Scorecard Tuesday: Industrials Leads, Real Estate Lags
- Which DFM Sector Fell Behind Monday? Financial Services
- Friday'S DFM Sector Map: Real Estate Rising to the Top
- Which DFM Sector Fell Behind Thursday? Industrials
- DFM Sectors Close Lower Wednesday: Financial Services Holds Up Best
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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