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 SPDR Sectors - XLY
- Top gainers in SPACs - SPCE, QS, SKLZ
- Top gainers in Space: The Final Frontier - VSAT, TSLA, VTSI, IRDM, AMZN
- Top gainers in Software ETFs - SKYY, XSW, AIQ, IGV
- Top gainers in Software as a Service (SAAS) - SNOW, DDOG, BILL, TEAM, SHOP
- Top gainers in Software-as-a-service Companies - SMAR, INTU, DT, ZUO, CRM
- Top gainers in Social Responsible Investing - AMZN, AAPL, BMY, CRM, ITW
- Top gainers in Social Media - WHLM, AMZN, NTES, YY, AAPL
- Top gainers in Smart Wearables - DXCM, AAPL, TNDM, AMBA, GRMN
- Top gainers in Small Business Economy - FVRR, ZI, INTU, HRB, ODP
- Top gainers in Shark Tank Mr. Wonderful ETFs - OGIG
- Top gainers in Semiconductor Stocks - MU, AVGO, NVDA
- Top gainers in Semiconductor stocks - PLAB
- Top gainers in Rise of the Machines - TSLA, AMZN, IRBT, MU, NVDA
- Top gainers in Railroad Companies - CSX, CP, CNI, RAIL
- Top gainers in Payment Processing Companies - MELI, GDOT, COF, FICO, BABA
- Top gainers in Online Marketplace - GRPN, REAL, AMZN, WMT, W
- Top gainers in Omaha Top Picks - AAPL, KO, AXP
- Top gainers in NFT Stocks - FNKO
- Top gainers in Metaverse Stocks - U, AAPL, SE, META, SNAP
- Top gainers in Media Companies - FENG, QRTEB, TSQ, ROKU, AMC
- Top gainers in Meatless Meat - AMZN, CPB, BG, UNFI
- Top gainers in MATANA Stocks - TSLA, AMZN, AAPL, MSFT, NVDA
- Top gainers in Marketplaces - AMZN, FVRR, SHOP, ETSY
- Top gainers in Marijuana Stocks - CGC, XLY
- Top gainers in Made in America - WHR, NUE, DE, HOG, TSCO
- Top gainers in Luxury Goods - SIG, MOV
- Top gainers in Lithium Stocks - ALB, SQM, TSLA, LAC, PILBF
- Top gainers in Lets reduce carbon footprint - TSLA, WMT, KO, TGT, MCD
- Top gainers in Lets purify Water - ERII, PCYO, PNR, WAT, TTC
- Top gainers in Key Oil Stocks - LNG, XOM
- Top gainers in Key ETFs - CLOU, QQQ, ESPO, MGC, USO
- Top gainers in Key Currencies Stocks - UUP
- Top gainers in Key Commodities Stocks - DBB
- Top gainers in Key Chinese Stocks listed in US - NTES, BZUN, EDU, BABA, TME
- Top gainers in Its News time - AMZN, SBGI, SIRI, TGNA, NYT
- Top gainers in Its Meal Time - AMZN, JACK, WMT, WING, CMG
- Top gainers in Inverse ETFs - KOLD, TMV, TTT, SSG, SOXS
- Top gainers in Internet of Things Stocks - DXCM, T
- Top gainers in Intelligent Infrastructure Stocks - PII, AYI, WSFS
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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