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 Warren Buffett Top Stocks - MCO, BK, AXP, USB, JPM
- Top gainers in Wall Street Bets - AMC, GME, BB
- Top gainers in Video Game Stocks - EA, RBLX, TTWO
- Top gainers in US Shipping Stocks - EXPD, CHRW, FDX
- Top gainers in US Onshore Drilling Companies - AR, RRC
- Top gainers in US Airline Stocks - AIRTP, ASR, PAC, SKYW, EXPD
- Top gainers in TOP US - Utilities Companies - NEE, DTE, D, WEC, SO
- Top gainers in TOP US - Technology Companies - QCOM, GOOG, META, MSFT, ORCL
- Top gainers in TOP US - Real Estate Companies - BAM, SPG, PLD, BXP, EQIX
- Top gainers in TOP US - Industrials Companies - DHR, GE, HON, MMM, CAT
- Top gainers in TOP US - Healthcare Companies - NVS, AMGN, ABBV
- Top gainers in TOP US - Financial Services Companies - MA, V, GS, JPM
- Top gainers in TOP US - Energy Companies - PSX, SU
- Top gainers in TOP US - Consumer Defense Companies - TGT, PG, PM, MDLZ
- Top gainers in TOP US - Consumer Cyclical Companies - NKE, BABA, TJX, HD
- Top gainers in TOP US - Basic Materials - MT, ECL, DD, RIO, SHW
- Top gainers in TOP US 30 Stocks - PDFS, MOFG, XLK, MAN, MOV
- Top gainers in Top OIL Stocks - REVG, NXPI, NVDA, COHU, EPIX
- Top gainers in Top GOLD Stocks - GRPN, KAI, CDE, RVT, IAG
- Top gainers in Tobacco stocks - UVV, BTI, VGR, PM
- Top gainers in The TECH Giants - NVDA, QCOM, SNAP, CRM, AVGO
- Top gainers in The Giants - TSLA, NVDA, GOOGL, META, MSFT
- Top gainers in Telecom Giants - NOK, ERIC, VIV, MSI, CHT
- Top gainers in Tech Stocks - AMAT, SNPS, PYPL, JD, BABA
- Top gainers in Stocks with Regular Dividends - DPZ, NVS, NTES, MED, BXP
- Top gainers in Stay at Home Stocks - DPZ, EA, PTON, MSFT, TDOC
- Top gainers in Sport, sponsors, brands and more. - NKE, GRVY, EA, ARMK, PENN
- Top gainers in Sports Gaming World - NVDA, LOGI, AMD, EA, MSFT
- Top gainers in SPDR Sectors - XLK, XLY, XLU, XLRE, XLI
- Top gainers in SPACs - SPCE, OPEN
- Top gainers in Space: The Final Frontier - SPCE, ISSC, TSLA, QCOM, ATRO
- Top gainers in Software ETFs - AIQ, IGV, XSW, SKYY, GAMR
- Top gainers in Software as a Service (SAAS) - DDOG, SNOW, BILL
- Top gainers in Software-as-a-service Companies - CRM, ZUO, DOCU, MSFT, ORCL
- Top gainers in Social Responsible Investing - TXN, CRM, EL, BLK, ECL
- Top gainers in Social Media - ANGI, YEXT, MOMO, WB, LEE
- Top gainers in Smart Wearables - QCOM, LOGI, QRVO, AMBA, GRMN
- Top gainers in Smart Transportation Stocks - MXL, CAR, AXL, UPLD, RGA
- Top gainers in Small Business Economy - ODP, HRB, PYPL, GDDY, DOCU
- Top gainers in Shark Tank Mr. Wonderful ETFs - OGIG, OUSM
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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