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 Tech Stocks - IAC, JD, AMAT, RPD, TEAM
- Top gainers in Stocks with Regular Dividends - NTES, INTC, WHR, SLF, ET
- Top gainers in Stay at Home Stocks - UBER, PTON, CHWY, TDOC, EA
- Top gainers in Sport, sponsors, brands and more. - UA, EA, DKNG, ARMK, NKE
- Top gainers in Sports Gaming World - AMD, EA, GAMR, INTC, NVDA
- Top gainers in SPDR Sectors - XLI, XLC, XLK, XLY, XLF
- Top gainers in SPACs - OPEN, DKNG, QS, SKLZ
- Top gainers in Space: The Final Frontier - KTOS, VTSI, AIR, TRMB, ATRO
- Top gainers in Software ETFs - XSW, GAMR, AIQ, SKYY, IGV
- Top gainers in Software as a Service (SAAS) - SHOP, TWLO, NET, TWLO, ZS
- Top gainers in Software-as-a-service Companies - TWLO, ZS, HUBS, RNG, INTU
- Top gainers in Social Responsible Investing - CRM, ETSY, INTC, ACN, AMZN
- Top gainers in Social Media - ANGI, IQ, WB, IAC, EVC
- Top gainers in Smart Wearables - AMBA, QCOM, LOGI, QRVO, GRMN
- Top gainers in Smart Transportation Stocks - UPLD, MXL, AXL, RGA, CMBS
- Top gainers in Small Business Economy - FVRR, TWLO, HUBS, SQ, INTU
- Top gainers in Shark Tank Mr. Wonderful ETFs - OGIG, OUSM
- Top gainers in Set-It-And-Forget-It ETFs - VGT, VHT, VNQ, VPU, VYM
- Top gainers in Semiconductor Stocks - AMAT, QCOM, INTC, NVDA, ASML
- Top gainers in Semiconductor stocks - PLAB, CLS, FLEX, TTMI, AMKR
- Top gainers in Rise of the Machines - TWLO, TRMB, AVAV, TSLA, INTC
- Top gainers in Railroad Companies - TRN, CNI, RAIL, CP, UNP
- Top gainers in Payment Processing Companies - SQ, BABA, WEX, MELI, GPN
- Top gainers in Online Marketplace - SFIX, CHWY, W, EBAY, BABA
- Top gainers in Omaha Top Picks - BAC, AXP, CVX
- Top gainers in NFT Stocks - NET, EBAY, DKNG, MAT, FNKO
- Top gainers in Metaverse Stocks - U, AMD, META, NVDA, SNAP
- Top gainers in Media Companies - QRTEB, AMC, ATUS, TSQ, RDIB
- Top gainers in Meatless Meat - BYND, QSR, AMZN, BG, TSN
- Top gainers in MATANA Stocks - TSLA, NVDA, AMZN, MSFT, GOOGL
- Top gainers in Marketplaces - UBER, FVRR, SHOP, DASH, ETSY
- Top gainers in Marijuana Stocks - GRWG, CRBP, PMD, XLY, CGC
- Top gainers in Made in America - VFC, YUM, WHR, DE, IUSG
- Top gainers in Luxury Goods - TPR, SIG, MOV
- Top gainers in Lithium Stocks - LAC, TSLA, ALB, SQM, PILBF
- Top gainers in Lets reduce carbon footprint - UAL, DELL, TSLA, BAC, MCD
- Top gainers in Lets purify Water - PCYO, ITRI, ERII, DHR, BMI
- Top gainers in Key Oil Stocks - BIP, CVX, LBRT
- Top gainers in Key ETFs - ESPO, IWM, CLOU, FXI, XLI
- Top gainers in Key Currencies Stocks - FXE, FXY
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