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 Tobacco stocks - BTI
- Top gainers in The TECH Giants - ORCL, AVGO, BABA, AMZN, MSFT
- Top gainers in The Giants - TSLA, AMZN, MSFT, NVDA, GOOGL
- Top gainers in Telecom Giants - VZ, T, TMUS, ERIC, CHT
- Top gainers in Tech Stocks - BABA, AMZN, MU, JD, SNPS
- Top gainers in Stocks with Regular Dividends - MED, BMY, ADP, LOW, CLX
- Top gainers in Stay at Home Stocks - CHWY, AMZN, MSFT, VZ, WMT
- Top gainers in Sport, sponsors, brands and more. - OUT, DKNG, ARMK
- Top gainers in Sports Gaming World - AMD, AMZN, MSFT, NVDA, IBM
- Top gainers in SPDR Sectors - XLRE, XLK, XLY, XLU, XLV
- Top gainers in SPACs - QS, DKNG
- Top gainers in Space: The Final Frontier - ASTC, TSLA, TATT, SIRI, AMZN
- Top gainers in Software ETFs - IGV, AIQ, HACK, SKYY, XSW
- Top gainers in Software as a Service (SAAS) - NET, DDOG, SNOW, SHOP
- Top gainers in Software-as-a-service Companies - ORCL, MSFT, INTU, ADBE, WDAY
- Top gainers in Social Responsible Investing - AMZN, MSFT, ACN, BMY, MMM
- Top gainers in Social Media - AMZN, MSFT, SNAP, MTCH, MOMO
- Top gainers in Smart Wearables - MSFT, QCOM, LOGI, MDT
- Top gainers in Smart Transportation Stocks - MXL, CMBS, TOLZ
- Top gainers in Small Business Economy - MSFT, ODP, PAYX, INTU, ADBE
- Top gainers in Shark Tank Mr. Wonderful ETFs - OGIG
- Top gainers in Set-It-And-Forget-It ETFs - VNQ, VGT, VPU, VHT, VTEB
- Top gainers in Semiconductor Stocks - AVGO, NVDA, MU, QCOM, AMAT
- Top gainers in Semiconductor stocks - TTMI, CLS, PLAB, AMKR
- Top gainers in Rise of the Machines - IRBT, TSLA, AMZN, TRMB, NVDA
- Top gainers in Railroad Companies - RAIL, WAB, UNP, NSC, TRN
- Top gainers in Payment Processing Companies - BABA, FICO, WEX, MA, SQ
- Top gainers in Online Marketplace - CHWY, SFIX, BABA, AMZN, LEVI
- Top gainers in Omaha Top Picks - MCO
- Top gainers in NFT Stocks - FNKO, EBAY, DKNG, NET
- Top gainers in Metaverse Stocks - AMD, MSFT, NVDA, SNAP, ADSK
- Top gainers in Media Companies - FENG, SIRI, VZ, LYV, TGNA
- Top gainers in Meatless Meat - BYND, AMZN
- Top gainers in MATANA Stocks - TSLA, AMZN, MSFT, NVDA, GOOGL
- Top gainers in Marketplaces - AMZN, DASH, ETSY, SHOP
- Top gainers in Marijuana Stocks - CRBP, XLY
- Top gainers in Made in America - WMT, IUSG, CVS, VFC, KR
- Top gainers in Luxury Goods - SIG
- Top gainers in Lithium Stocks - TSLA, LAC, SQM, ALB
- Top gainers in Lets reduce carbon footprint - TSLA, WMT, SBUX, DELL
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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