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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 Get Fit - LULU
- Top gainers in Garden and Home - W, AMZN, WSM, PINS, TPX
- Top gainers in Gaming Stocks - IMTE, NVDA, HUYA, MSFT, PLAY
- Top gainers in Future of technology ETFs - FIVG, DTEC, CLOU, ITEQ
- Top gainers in Future of Learning - MSFT, UTI, APEI, PSO, LRN
- Top gainers in Future Communications Stocks - WST
- Top gainers in Freight Market Truckload - IWR
- Top gainers in Freight Market Suppliers/OEM - W, BWA, STNG, ALRM, FIDI
- Top gainers in Freight Market Seaborn - THC, PRPO, GRMN, ETG, SCHX
- Top gainers in Freight Market Rail - UEIC, CMTL, GTN
- Top gainers in Freight Market LTL - ARC, FTLS
- Top gainers in Freight Market Air - IQ, SMTC, MU, FCNCA, INFN
- Top gainers in Freight Market 3PL - FCNCA, REGN, WOOD, EWS
- Top gainers in Founder Led Companies - NVDA, SHOP, TWLO, SQ
- Top gainers in Focus on Recycling - SRCL, RSG, DAR, FSS, CLH
- Top gainers in Focus on Privacy - OSPN, CHKP, PANW, ZS
- Top gainers in Fintech ETFs - KOIN, ARKF, MILN, IPAY, FINX
- Top gainers in Financial Technology - COIN, AFRM, SQ, MQ
- Top gainers in FAANG Stocks - META, AMZN, NFLX, GOOG, AAPL
- Top gainers in ETFs - GLL, XLK, FTEC, VGT, IYW
- Top gainers in Entertainment Stocks - CNK, AMZN, LYV, DKNG, NFLX
- Top gainers in Entertainment Kings - NFLX, SPOT, DIS
- Top gainers in Electric Vehicles - KARS, HMC, NIO, BLNK, TM
- Top gainers in Education World - FEDU, BEDU, TAL, COE, UTI
- Top gainers in E-Commerce Companies - CPNG, AMZN, SHOP, BABA
- Top gainers in Drinks - CELH, MNST, KO, BUD, ABEV
- Top gainers in Dow 30 Stocks - KFFB, TMV, PDFS, AXP, MAN
- Top gainers in Diversity and Inclusion - ADBE, LLY, ACN, ULTA, TPR
- Top gainers in Disruptive Tech ETFs - FIVG, SNSR, ARKF, DTEC, ITEQ
- Top gainers in Defense Stocks - TDG, OSIS, AVAV, VSEC, CW
- Top gainers in Cyber Security Stocks - AJG, RINF, KNDI, TRS, STE
- Top gainers in Cybersecurity - CRWD, CRWD, S, S, CHKP
- Top gainers in Crypto Companies - MSTR, COIN
- Top gainers in Creative Solutions and Designs - ADBE, IBM, MSFT, QSR, INTU
- Top gainers in Coronavirus Stocks - APT
- Top gainers in Consumer Staples Stocks - COST, WMT, MO, CL, KO
- Top gainers in Cloud and Storage Stocks - CRWD, CRWD, ADBE, MSFT, AMZN
- Top gainers in Clothing Companies - GPS, VNCE, ANF, DLTH, GIII
- Top gainers in Clean Power & Energy Stocks - SNFCA, CRVL, SCHD
- Top gainers in Chip Stocks - TSM, QRVO, AMD, NVR, QCOM
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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