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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 - Technology Companies - ORCL, QCOM, IBM, CSCO
- Top gainers in TOP US - Real Estate Companies - CBRE, EQIX, BXP, VTR
- Top gainers in TOP US - Industrials Companies - DHR, GE, CAT, HON, MMM
- Top gainers in TOP US - Healthcare Companies - PFE, AMGN, ABBV, MRK
- Top gainers in TOP US - Financial Services Companies - GS, WFC, BAC, C, JPM
- Top gainers in TOP US - Energy Companies - PBR, SU, XOM, BP, CVX
- Top gainers in TOP US - Consumer Defense Companies - PG, WMT, PEP, MDLZ
- Top gainers in TOP US - Consumer Cyclical Companies - HD
- Top gainers in TOP US - Basic Materials - MT, NTR, RIO, AA, DD
- Top gainers in TOP US 30 Stocks - PDFS, VZ, MOFG, AMZA, IMKTA
- Top gainers in Top OIL Stocks - NVDA, PRI, CNK, LH, COHU
- Top gainers in Top GOLD Stocks - HMY, DRD, IAG, JNUG, NUGT
- Top gainers in Tobacco stocks - BTI, MO
- Top gainers in The TECH Giants - MU, NVDA, ORCL, T, NTAP
- Top gainers in The Giants - NVDA
- Top gainers in Telecom Giants - SCCO, BBY, T, VZ, ERIC
- Top gainers in Tech Stocks - MU, AMAT, SNPS
- Top gainers in Stocks with Regular Dividends - T, LYB, ET, XOM, DFS
- Top gainers in Stay at Home Stocks - CHWY, T, KR, VZ, K
- Top gainers in Sport, sponsors, brands and more. - DKNG, OUT, EA, MSGS, ARMK
- Top gainers in Sports Gaming World - MU, NVDA, GAMR, IBM, EA
- Top gainers in SPDR Sectors - XLI, XLF, XLRE, XLE, XLK
- Top gainers in SPACs - DKNG
- Top gainers in Space: The Final Frontier - AIR, CAE, SIRI, ISSC, KTOS
- Top gainers in Software ETFs - GAMR, AIQ, IGV
- Top gainers in Software as a Service (SAAS) - NET
- Top gainers in Software-as-a-service Companies - ORCL, INTU, NOW, CRM, ADBE
- Top gainers in Social Responsible Investing - PFE, CRM, ITW, PG, TXN
- Top gainers in Social Media - WHLM, EVC, YY, NFLX, WB
- Top gainers in Smart Wearables - QCOM, QRVO, GRMN, DXCM
- Top gainers in Smart Transportation Stocks - MXL, RGA, TOLZ, CMBS
- Top gainers in Small Business Economy - HRB, BAC, INTU, ADBE, PAYX
- Top gainers in Shark Tank Mr. Wonderful ETFs - OUSM
- Top gainers in Set-It-And-Forget-It ETFs - PFF, VGT, VNQ, XLE, VYM
- Top gainers in Semiconductor Stocks - MU, NVDA, QCOM, AMAT, TSM
- Top gainers in Semiconductor stocks - AMKR, CLS, TTMI, FLEX
- Top gainers in Rise of the Machines - MU, NVDA, AVAV, ISRG, IBM
- Top gainers in Railroad Companies - TRN, GBX, CSX, WAB, UNP
- Top gainers in Payment Processing Companies - WFC, BAC, SYF, MELI, FICO
- Top gainers in Online Marketplace - CHWY, SFIX, EBAY, REAL, PINS
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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