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 Semiconductor stocks - FLEX
- Top gainers in Rise of the Machines - IRBT, AVAV, MU, TRMB, AMZN
- Top gainers in Railroad Companies - WAB, CNI
- Top gainers in Payment Processing Companies - BABA, FICO, PYPL, WEX, GDOT
- Top gainers in Online Marketplace - NKE, BABA, AMZN, BKNG, CHWY
- Top gainers in Omaha Top Picks - OXY, CVX, AXP, MCO
- Top gainers in NFT Stocks - FNKO, FNKO
- Top gainers in Metaverse Stocks - NVDA, ADSK, MSFT
- Top gainers in Media Companies - NFLX, LSXMB, SBGI, SPOT, LYV
- Top gainers in Meatless Meat - AMZN, BG
- Top gainers in MATANA Stocks - AMZN, NVDA, MSFT
- Top gainers in Marketplaces - UBER, AMZN, SHOP
- Top gainers in Made in America - MO, STZ, DEO, LVS, TSCO
- Top gainers in Luxury Goods - TPR
- Top gainers in Lets reduce carbon footprint - DELL, UAL, HMC, MCD
- Top gainers in Lets purify Water - SBS, ITRI, PNR, ROP, ECL
- Top gainers in Key Oil Stocks - PSX, CVX, XOM
- Top gainers in Key ETFs - USO, FXI, CLOU, AGG, TLT
- Top gainers in Key Currencies Stocks - FXY, FXB, FXE, UUP
- Top gainers in Key Commodities Stocks - GLD, DBB
- Top gainers in Key Chinese Stocks listed in US - TME, EDU, IQ, NTES, PDD
- Top gainers in Key Bonds Stocks - TLT, TIP, BND, BWX, PHB
- Top gainers in Its News time - SBGI, NYT, AMZN, GCI, NXST
- Top gainers in Its Meal Time - UBER, TAST, CMG, RAVE, WING
- Top gainers in Inverse ETFs - LABD, SDP, BNKD, BIS, TZA
- Top gainers in Internet of Things Stocks - DXCM
- Top gainers in Intelligent Infrastructure Stocks - HLX, IRMD, PWZ
- Top gainers in Industry ETFs - IHF, PSI
- Top gainers in Index Funds - DUST, JNK, PFXF
- Top gainers in Human Evolutions Stocks - SCOR, PSET
- Top gainers in Household Items Stocks - HSY, COST
- Top gainers in Holiday Companies - AMZN
- Top gainers in Health and Wellness - NKE, LULU
- Top gainers in Gold & Silver Stocks - FC, KAI, LSTR, AGGY, FMS
- Top gainers in Gig Economy - UBER
- Top gainers in Get Fit - NKE, LULU
- Top gainers in Garden and Home - WSM, AMZN, LOW
- Top gainers in Gaming Stocks - HUYA, GRVY, TTWO, HEAR, BILI
- Top gainers in Future of technology ETFs - CLOU, DTEC, FIVG, ITEQ
- Top gainers in Future of Learning - EDU, LOPE, CHGG, MSFT, ZM
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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