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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 Industry ETFs - PSI, IHF
- Top gainers in Index Funds - DUST, LABU, IVV, PPA, SPHD
- Top gainers in Human Evolutions Stocks - UPRO, SCOR, PSET, WVE, DBEU
- Top gainers in Household Items Stocks - UNFI, KHC, SFM, GIS, HRL
- Top gainers in Holiday Companies - AMZN, JWN, EBAY, GOOG, BBY
- Top gainers in Health and Wellness - PTON, BC, LULU, PLNT, NKE
- Top gainers in Green Energy - TSLA, FSLR, RUN, NEE, CSIQ
- Top gainers in Gold & Silver Stocks - HWKN, LSTR, FC, NBTB, USMF
- Top gainers in Gig Economy - DASH, UBER, LYFT
- Top gainers in Get Fit - PTON, LULU, NKE
- Top gainers in Garden and Home - AMZN, PINS, TPX, WSM, W
- Top gainers in Gaming Stocks - GME, HEAR, HUYA, GRVY, INSE
- Top gainers in Future of technology ETFs - CLOU, DTEC, ITEQ
- Top gainers in Future of Learning - TXN, LOPE, SCHL, MSFT, APEI
- Top gainers in Future Communications Stocks - UPLD, PPT, EZM
- Top gainers in Freight Market Truckload - PRIM, IWR, YLD, LOB
- Top gainers in Freight Market Suppliers/OEM - MXL, STNG, W, VOD, SDVY
- Top gainers in Freight Market Seaborn - NRP, DPST, GRMN, DGII, PRPO
- Top gainers in Freight Market Rail - CMTL, UEIC, COR, NLY
- Top gainers in Freight Market LTL - FTLS, ARC
- Top gainers in Freight Market Air - INTC, MRVL, INSG, DELL, HPE
- Top gainers in Freight Market 3PL - FCNCA, EWS, REGN, WOOD
- Top gainers in Founder Led Companies - TSLA, PLTR, NVDA, SHOP, TWLO
- Top gainers in Focus on Recycling - ABM, CLH, CWST, RSG, FSS
- Top gainers in Focus on Privacy - ZS, PANW, FTNT, CHKP, CYBR
- Top gainers in Fintech ETFs - ARKF, MILN, IPAY
- Top gainers in Financial Technology - AFRM, FOUR
- Top gainers in FAANG Stocks - AMZN, NFLX, GOOG, META
- Top gainers in ETFs - XLY, MTUM, GLL, CORN, XLK
- Top gainers in Entertainment Stocks - AMZN, BABA, WYNN, DKNG, SNAP
- Top gainers in Entertainment Kings - NFLX, DIS, SPOT
- Top gainers in Electric Vehicles - TSLA, NIO, LIT, OSK, TM
- Top gainers in Education World - COE, LAUR, LOPE, APEI, UTI
- Top gainers in E-Commerce Companies - AMZN, BABA, MELI, EBAY, SHOP
- Top gainers in Drinks - TAP, STZ, KDP, CELH, KO
- Top gainers in Dow 30 Stocks - TMV, UMH, VZ, MAN, MOFG
- Top gainers in Diversity and Inclusion - HPQ, LLY, TPR, JNJ, NACP
- Top gainers in Disruptive Tech ETFs - SNSR, ARKF, DTEC, ITEQ
- Top gainers in Disease-fighting Companies - NVAX
- Top gainers in Defense Stocks - KTOS, DFEN, NPK, TDY, OSK
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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