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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 TOP US - Consumer Defense Companies - KHC, MDLZ, WMT, PG, PM
- Top gainers in TOP US - Consumer Cyclical Companies - BABA, NKE, TJX, AMZN, HD
- Top gainers in TOP US - Basic Materials - AA, ECL, DD, MT, SHW
- Top gainers in TOP US 30 Stocks - PDFS, CROX, XLK, BA, KFFB
- Top gainers in Top OIL Stocks - DHX, METC, ERJ, NXPI, NVDA
- Top gainers in Top GOLD Stocks - PRQR, AU, NUGT, JNUG, CDE
- Top gainers in Tobacco stocks - UVV, VGR, BTI, MO, PM
- Top gainers in The TECH Giants - INTC, SNAP, AVGO, NVDA, MU
- Top gainers in The Giants - NVDA, META, TSLA, GOOGL, AMZN
- Top gainers in Telecom Giants - SCCO, TLK, BBY, VIV, CMCSA
- Top gainers in Tech Stocks - AMAT, MU, SNPS, BABA, IAC
- Top gainers in Stocks with Regular Dividends - INTC, ET, WHR, COST, CVS
- Top gainers in Stay at Home Stocks - CHWY, UBER, SPOT, COST, CVS
- Top gainers in Sport, sponsors, brands and more. - UA, PENN, GRVY, BYD, ARMK
- Top gainers in Sports Gaming World - INTC, NVDA, MU, AMD, GME
- Top gainers in SPDR Sectors - XLK, XLY, XLV, XLI, XLE
- Top gainers in SPACs - SPCE, SKLZ, QS, DKNG
- Top gainers in Space: The Final Frontier - VSAT, SPCE, ERJ, UFO, QCOM
- Top gainers in Software ETFs - IGV, AIQ, HACK, XSW, SKYY
- Top gainers in Software as a Service (SAAS) - SHOP, SNOW, DDOG, BILL, ZS
- Top gainers in Software-as-a-service Companies - CRM, ZS, HUBS, ADBE, TWLO
- Top gainers in Social Responsible Investing - INTC, TXN, CRM, ECL, MMM
- Top gainers in Social Media - SNAP, BIDU, LEE, WB, WHLM
- Top gainers in Smart Wearables - AMBA, QRVO, QCOM, GRMN, DXCM
- Top gainers in Smart Transportation Stocks - MXL, CAR, AXL, RGA, TOLZ
- Top gainers in Small Business Economy - ODP, SQ, FVRR, HUBS, ADBE
- Top gainers in Shark Tank Mr. Wonderful ETFs - OGIG, OUSM
- Top gainers in Set-It-And-Forget-It ETFs - VGT, VHT, XLE, VYM, VNQ
- Top gainers in Semiconductor Stocks - INTC, AVGO, AMAT, TSM, NVDA
- Top gainers in Semiconductor stocks - AMKR, PLAB, CLS, FLEX, TTMI
- Top gainers in Rise of the Machines - INTC, NVDA, MU, AVAV, TSLA
- Top gainers in Railroad Companies - RAIL, GBX, CSX, UNP, WAB
- Top gainers in Payment Processing Companies - SQ, GPN, SYF, BABA, FICO
- Top gainers in Online Marketplace - CHWY, SFIX, EXPE, BABA, LEVI
- Top gainers in Omaha Top Picks - OXY, BAC, AXP, MCO, AAPL
- Top gainers in NFT Stocks - MAT, EBAY, DKNG, FNKO, NET
- Top gainers in Metaverse Stocks - SNAP, NVDA, AMD, META, SE
- Top gainers in Media Companies - FENG, QRTEB, ROKU, TV, AMC
- Top gainers in Meatless Meat - BYND, QSR, CAG, K, BG
- Top gainers in MATANA Stocks - NVDA, TSLA, GOOGL, AMZN, AAPL
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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