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 US Airline Stocks - AZUL, RYAAY, HA, OMAB, EXPD
- Top gainers in TOP US - Utilities Companies - NGG, NEE, D, SO
- Top gainers in TOP US - Technology Companies - QCOM, ORCL, AAPL, GOOG, MSFT
- Top gainers in TOP US - Real Estate Companies - BAM, CBRE, SPG, PLD
- Top gainers in TOP US - Industrials Companies - GE, CAT, CAT, UPS, LMT
- Top gainers in TOP US - Healthcare Companies - NVS
- Top gainers in TOP US - Financial Services Companies - MA, GS, V
- Top gainers in TOP US - Energy Companies - PBR, SU, BP, COP, XOM
- Top gainers in TOP US - Consumer Defense Companies - MDLZ, KHC, KO, WMT
- Top gainers in TOP US - Consumer Cyclical Companies - BABA, DIS, TJX
- Top gainers in TOP US - Basic Materials - VALE, AA, RIO, MT, NTR
- Top gainers in TOP US 30 Stocks - CROX, AMZA, MOV, TOLZ, XLK
- Top gainers in Top Technology Penny Stocks - PLUG
- Top gainers in Top OIL Stocks - NVDA, ERJ, EME, ENPH, PPSI
- Top gainers in Top GOLD Stocks - JNUG, NUGT, CDE, SSRM, HL
- Top gainers in Tobacco stocks - BTI, VGR
- Top gainers in The TECH Giants - NVDA, AVGO, MU, BABA, CRM
- Top gainers in The Giants - TSLA, NVDA, AAPL, GOOGL, MSFT
- Top gainers in Telecom Giants - SCCO, VIV, AMX, RCI, TU
- Top gainers in Tech Stocks - MU, JD, BABA, IAC, PYPL
- Top gainers in Stocks with Regular Dividends - NTES, SLF, DPZ, MCD, CMCSA
- Top gainers in Stay at Home Stocks - DPZ, UBER, KR, DIS, CMCSA
- Top gainers in Sport, sponsors, brands and more. - DKNG, GRVY, OUT, CMCSA, BYD
- Top gainers in Sports Gaming World - NVDA, MU, GME, GAMR, BJK
- Top gainers in SPDR Sectors - XLK, XLU, XLB, XLY, XLI
- Top gainers in SPACs - QS, SKLZ, DKNG
- Top gainers in Space: The Final Frontier - SIRI, TSLA, VSAT, ERJ, CAE
- Top gainers in Software ETFs - GAMR, AIQ, HACK, IGV, XSW
- Top gainers in Software as a Service (SAAS) - SHOP, ZS, SNOW
- Top gainers in Software-as-a-service Companies - CRM, HUBS, ZS, ORCL, INTU
- Top gainers in Social Responsible Investing - CRM, ACN, MA, EL, AAPL
- Top gainers in Social Media - WHLM, IQ, LEE, BIDU, WB
- Top gainers in Smart Wearables - TNDM, QCOM, AMBA, LOGI, AAPL
- Top gainers in Smart Transportation Stocks - CAR, UPLD, TOLZ, AXL, CMBS
- Top gainers in Small Business Economy - FVRR, HRB, HUBS, PYPL, INTU
- Top gainers in Shark Tank Mr. Wonderful ETFs - OGIG, OUSM
- Top gainers in Set-It-And-Forget-It ETFs - PFF, VGT, VPU, SPIB, VTEB
- Top gainers in Semiconductor Stocks - NVDA, AVGO, TSM, MU, ASML
- Top gainers in Semiconductor stocks - TTMI, FLEX, AMKR
- Top gainers in Rise of the Machines - TSLA, NVDA, MU, IRBT, INTC
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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