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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 Gold & Silver Stocks - HFWA, GNL, HWKN, NBTB, KAI
- Top gainers in Gig Economy - UBER, LYFT, UPWK, FVRR
- Top gainers in Get Fit - UA, NKE, LULU
- Top gainers in Garden and Home - WHR, WSM, SWK, TPX, LOW
- Top gainers in Gaming Stocks - PLAY, HEAR, BILI, GME, TTWO
- Top gainers in Future of technology ETFs - PRNT, CLOU, DTEC
- Top gainers in Future of Learning - BNED, CHGG, TWOU, APEI, SCHL
- Top gainers in Future Communications Stocks - UPLD, WST, EZM, FIXD, PPT
- Top gainers in Freight Market Truckload - LOB, PRIM, IWR, YLD
- Top gainers in Freight Market Suppliers/OEM - ESCA, VSAT, OII, DXC, W
- Top gainers in Freight Market Seaborn - DPST, NVCR, TGLS, KEY, ASA
- Top gainers in Freight Market Rail - CMTL, UEIC, NLY, GTN
- Top gainers in Freight Market LTL - ARC
- Top gainers in Freight Market Air - SBAC, INSG, SMTC, CCI, IQ
- Top gainers in Freight Market 3PL - WOOD, REGN, EWS, FCNCA
- Top gainers in Founder Led Companies - SQ, ASAN, TWLO
- Top gainers in Focus on Recycling - FSS, ABM, DAR, CLH, RSG
- Top gainers in Focus on Privacy - SCWX, RPD, OSPN, RDWR, TENB
- Top gainers in Fintech ETFs - FINX, IPAY, MILN
- Top gainers in Financial Technology - UPST, AFRM, FOUR, SQ, MQ
- Top gainers in ETFs - IWN, IWM, XBI, IJR, IWO
- Top gainers in Entertainment Stocks - IMAX, BABA, DKNG, BCE, LYV
- Top gainers in Entertainment Kings - PARA
- Top gainers in Electric Vehicles - BLNK, NKLA, GM, OSK, F
- Top gainers in Education World - CHGG, APEI, GHC, UTI, LAUR
- Top gainers in E-Commerce Companies - BABA, EBAY, ETSY, CPNG, MELI
- Top gainers in Drinks - CELH, STZ, DEO, BUD, KDP
- Top gainers in Dow 30 Stocks - MOFG, IMKTA, PCH, MOV, CASY
- Top gainers in Diversity and Inclusion - SFIX, LOW, TPR, DEO, BLK
- Top gainers in Disruptive Tech ETFs - DTEC
- Top gainers in Disease-fighting Companies - NVAX, MRNA
- Top gainers in Defense Stocks - MRCY, ATRO, DCO, TGI, OSK
- Top gainers in Cyber Security Stocks - BRKL, TRS, STE, AJG
- Top gainers in Cybersecurity - S, OKTA
- Top gainers in Crypto Companies - MSTR, RIOT, MARA
- Top gainers in Creative Solutions and Designs - TGT, QSR, F, FVRR, ETSY
- Top gainers in Coronavirus Stocks - INO, CERS, VIR, NVAX, BCRX
- Top gainers in Consumer Staples Stocks - STZ, KO, CL, MO
- Top gainers in Cloud and Storage Stocks - BABA, VEEV, TWLO, WDAY, CSCO
- Top gainers in Clothing Companies - PLCE, GCO, HBI, TLYS, URBN
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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