Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Top gainers in MATANA Stocks - MSFT, GOOGL, AMZN, AAPL
- Top gainers in Marketplaces - AMZN, ABNB, DASH
- Top gainers in Made in America - MO, CVS, HOG, DE, LMT
- Top gainers in Lithium Stocks - LAC
- Top gainers in Lets reduce carbon footprint - HMC, SBUX
- Top gainers in Key Oil Stocks - XOM, CVX, LNG
- Top gainers in Key ETFs - USO, XOP
- Top gainers in Key Currencies Stocks - UUP
- Top gainers in Key Chinese Stocks listed in US - CJJD, PDD
- Top gainers in Its News time - AMZN, TRI
- Top gainers in Its Meal Time - JACK, WING, CBRL, GTIM, AMZN
- Top gainers in Inverse ETFs - LABD, TZA, SRTY, SMDD, SOXS
- Top gainers in Intelligent Infrastructure Stocks - HLX
- Top gainers in Index Funds - DUST
- Top gainers in Household Items Stocks - TSN, BGS
- Top gainers in Holiday Companies - GOOG, AMZN
- Top gainers in Health and Wellness - LULU
- Top gainers in Green Energy - LNG, SPWR
- Top gainers in Gold & Silver Stocks - HWKN
- Top gainers in Gig Economy - DASH
- Top gainers in Get Fit - LULU
- Top gainers in Garden and Home - AMZN, ACU, WSM
- Top gainers in Gaming Stocks - HEAR, MSFT, SE
- Top gainers in Future of Learning - MSFT, PSO
- Top gainers in Future Communications Stocks - WST, UPLD
- Top gainers in Freight Market Suppliers/OEM - OII, RHP, STNG, ESCA
- Top gainers in Freight Market Seaborn - NGL, DBE, FPE
- Top gainers in Freight Market Rail - CMTL, UEIC, COR
- Top gainers in Freight Market Air - INFN, AAPL, SKM, KT, AVGO
- Top gainers in Focus on Recycling - CLH, RSG
- Top gainers in Focus on Privacy - SCWX, CHKP
- Top gainers in Fintech ETFs - KOIN
- Top gainers in Financial Technology - HOOD
- Top gainers in FAANG Stocks - GOOG, AMZN, AAPL, NFLX
- Top gainers in ETFs - UNG, USO, BNO, UGA, XLE
- Top gainers in Entertainment Stocks - AMZN, AAPL, NFLX, ROKU, SPOT
- Top gainers in Entertainment Kings - NFLX, ROKU, SPOT
- Top gainers in Electric Vehicles - BLNK, HMC
- Top gainers in E-Commerce Companies - AMZN, MELI, SE
- Top gainers in Drinks - KDP
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