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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 Its News time - LEE, AMZN
- Top gainers in Its Meal Time - WING, DPZ, AMZN, CBRL
- Top gainers in Inverse ETFs - LABD, TZA, FAZ, FXP, BNKD
- Top gainers in Intelligent Infrastructure Stocks - PII, HLX, PWZ, IXJ
- Top gainers in Industry ETFs - PSI
- Top gainers in Index Funds - DUST
- Top gainers in Human Evolutions Stocks - SCOR, DBEU
- Top gainers in Household Items Stocks - SFM, UL, KHC, CPB, SJM
- Top gainers in Holiday Companies - GOOG, BBY, AMZN
- Top gainers in Health and Wellness - FL, PLNT, HIBB
- Top gainers in Green Energy - AY, GPRE, NEE, FSLR, LNG
- Top gainers in Gold & Silver Stocks - CULP, HWKN, AGGY, KAI, MT
- Top gainers in Gig Economy - DASH
- Top gainers in Garden and Home - SMG, AMZN
- Top gainers in Gaming Stocks - NVDA, TTWO, HUYA
- Top gainers in Future of Learning - ATGE, SCHL, NNI, LRN, PSO
- Top gainers in Future Communications Stocks - UPLD, FIXD
- Top gainers in Freight Market Suppliers/OEM - CMBS, OII, VOD, UJUN
- Top gainers in Freight Market Seaborn - OVID, CYCC, GIFI, DGII, HIBB
- Top gainers in Freight Market Rail - COR
- Top gainers in Freight Market LTL - ARC
- Top gainers in Freight Market Air - INFN, HPE, AAPL, AVGO, CIEN
- Top gainers in Founder Led Companies - NVDA, TWLO
- Top gainers in Focus on Recycling - RSG
- Top gainers in Focus on Privacy - OSPN, OKTA, SCWX
- Top gainers in FAANG Stocks - GOOG, NFLX, AAPL, AMZN, META
- Top gainers in ETFs - WEAT, GLL, TLT, IEF, BNDX
- Top gainers in Entertainment Stocks - SNAP, SPOT, NFLX, CNK, AAPL
- Top gainers in Entertainment Kings - SPOT, NFLX
- Top gainers in Electric Vehicles - TM, HMC
- Top gainers in Education World - AMBO, COE, BEDU, ATGE, LRN
- Top gainers in E-Commerce Companies - MELI, AMZN
- Top gainers in Drinks - SAM, CELH, FARM, KDP, BUD
- Top gainers in Dow 30 Stocks - BA, KFFB, AAPL, CROX, UAE
- Top gainers in Diversity and Inclusion - DEO, MRK, NVS, LLY
- Top gainers in Disease-fighting Companies - MRNA
- Top gainers in Defense Stocks - CW, DFEN, HEI, BWXT, BA
- Top gainers in Cyber Security Stocks - STE
- Top gainers in Cybersecurity - OKTA, NET
- Top gainers in Creative Solutions and Designs - SNAP, WPP, NFLX, AAPL, KO
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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