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 TOP US 30 Stocks - KFFB, UMH, CROX, VZ, PCH
- Top gainers in Top OIL Stocks - SACH, PRAA, EPIX, PAYC, DHX
- Top gainers in Top GOLD Stocks - DUST, GRPN, AFTY, DZZ, GNL
- Top gainers in Tobacco stocks - UVV, PM
- Top gainers in The TECH Giants - BABA, T, WDAY, SNAP, HPE
- Top gainers in The Giants - MSFT, AAPL, NVDA, META, AMZN
- Top gainers in Telecom Giants - CHT, T, TMUS, TU, BBY
- Top gainers in Tech Stocks - JD, IAC, BABA, PYPL, AMZN
- Top gainers in Stocks with Regular Dividends - MED, NTES, TSN, T, MRK
- Top gainers in Stay at Home Stocks - TSN, T, MMM, K, VZ
- Top gainers in Sport, sponsors, brands and more. - PENN, NKE, UA, ARMK, OUT
- Top gainers in Sports Gaming World - AMD, BJK, MSFT, TTWO, NVDA
- Top gainers in SPDR Sectors - XLU, XLRE, XLF, XLC, XLV
- Top gainers in SPACs - DKNG
- Top gainers in Space: The Final Frontier - DISH, SATS, ISSC, VSAT, MRCY
- Top gainers in Software ETFs - GAMR, SKYY
- Top gainers in Software as a Service (SAAS) - SNOW, SHOP
- Top gainers in Software-as-a-service Companies - WDAY, DOCU, ZUO, HUBS, MSFT
- Top gainers in Social Responsible Investing - EL, MMM, MRK, PFE, MA
- Top gainers in Social Media - WB, BIDU, MTCH, LEE, MOMO
- Top gainers in Smart Wearables - MSFT, MDT, DXCM, AAPL, QCOM
- Top gainers in Smart Transportation Stocks - RGA
- Top gainers in Small Business Economy - ED, DOCU, PYPL, HUBS, FVRR
- Top gainers in Set-It-And-Forget-It ETFs - VPU, VNQ, VHT, VGT, VYM
- Top gainers in Semiconductor Stocks - NVDA, QCOM, TSM
- Top gainers in Semiconductor stocks - FLEX, CLS
- Top gainers in Rise of the Machines - TRMB, ISRG, TMO, NVDA, IBM
- Top gainers in Railroad Companies - RAIL, TRN, GBX, NSC, CSX
- Top gainers in Payment Processing Companies - BABA, COF, PYPL, MA, GPN
- Top gainers in Online Marketplace - GRPN, NKE, BABA, BKNG, SFIX
- Top gainers in Omaha Top Picks - KHC, AXP, AAPL, BAC, MCO
- Top gainers in NFT Stocks - FNKO, FNKO, MAT, DKNG, EBAY
- Top gainers in Metaverse Stocks - AMD, SE, SNAP, MSFT, AAPL
- Top gainers in Media Companies - DISH, ATUS, IDEX, IHRT, GTN
- Top gainers in Meatless Meat - HAIN, TSN, UNFI, K, CAG
- Top gainers in MATANA Stocks - MSFT, AAPL, NVDA, AMZN
- Top gainers in Marketplaces - SHOP, FVRR, ABNB, AMZN
- Top gainers in Marijuana Stocks - TLRY, PMD, CRBP, CGC, GRWG
- Top gainers in Major US Indices - $GSPC
- Top gainers in Made in America - TSCO, VFC, LVS, STZ, LMT
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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