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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 NFT Stocks - NET
- Top gainers in Metaverse Stocks - SNAP, NVDA, META, ADSK, MSFT
- Top gainers in Media Companies - IMTE, FENG, PINS, CNK, IMAX
- Top gainers in Meatless Meat - AMZN
- Top gainers in MATANA Stocks - NVDA, GOOGL, TSLA, MSFT, AMZN
- Top gainers in Marketplaces - FVRR, ABNB, DASH, UBER, SHOP
- Top gainers in Marijuana Stocks - CRBP, GRWG, PMD
- Top gainers in Made in America - IUSG, SPY, PM
- Top gainers in Lithium Stocks - TSLA
- Top gainers in Lets reduce carbon footprint - HPE, TSLA, DELL, HMC
- Top gainers in Lets purify Water - ROP
- Top gainers in Key Oil Stocks - LNG, PSX, BIP, XOM, LBRT
- Top gainers in Key ETFs - XLK, QQQ, MGC, ESPO, SPY
- Top gainers in Key Currencies Stocks - UUP, FXB
- Top gainers in Key Chinese Stocks listed in US - NTES, IQ
- Top gainers in Key Bonds Stocks - TLT, PHB, BND, TIP
- Top gainers in Its News time - TRI, NWS, SBGI, FOX, AMZN
- Top gainers in Its Meal Time - RAVE, PBPB, RRGB, CMG, WING
- Top gainers in Inverse ETFs - KOLD, ZSL, SRS, SMN, SIJ
- Top gainers in Internet of Things Stocks - SWKS, T
- Top gainers in Intelligent Infrastructure Stocks - HLX, KYN, IRMD
- Top gainers in Industry ETFs - PSI
- Top gainers in Index Funds - DUST, IVV, JNK
- Top gainers in Human Evolutions Stocks - UPRO, PSET, DBEU
- Top gainers in Household Items Stocks - SFM, COST, NATH
- Top gainers in Holiday Companies - GOOG, AMZN
- Top gainers in Health and Wellness - PLNT
- Top gainers in Green Energy - TSLA, LNG, GPRE
- Top gainers in Gold & Silver Stocks - AU, HWKN, FC, CULP
- Top gainers in Gig Economy - FVRR, DASH, UPWK, UBER
- Top gainers in Garden and Home - PINS, LMND, AMZN
- Top gainers in Gaming Stocks - IMTE, NVDA, GME, NCTY, MSFT
- Top gainers in Future of technology ETFs - FIVG
- Top gainers in Future of Learning - LINC, UTI, MSFT, PSO, TXN
- Top gainers in Future Communications Stocks - UPLD, FIXD
- Top gainers in Freight Market Suppliers/OEM - MXL, OII, STNG, CMBS, UJUN
- Top gainers in Freight Market Seaborn - PRPO, SPNS, EFG, TGI, SCHX
- Top gainers in Freight Market Rail - UEIC
- Top gainers in Freight Market LTL - ARC, FTLS
- Top gainers in Freight Market Air - LITE, HPE, SWKS, DELL, AMAT
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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