Newsroom
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 Set-It-And-Forget-It ETFs - VGT, VNQ, VHT, VPU, VYM
- Top gainers in Semiconductor Stocks - AMAT, ASML, NVDA, QCOM, AVGO
- Top gainers in Semiconductor stocks - PLAB, AMKR, TTMI, FLEX, CLS
- Top gainers in Rise of the Machines - IRBT, TSLA, NVDA, AVAV, TMO
- Top gainers in Railroad Companies - GBX, WAB, TRN, RAIL, CNI
- Top gainers in Payment Processing Companies - GDOT, FICO, PYPL, MELI, BABA
- Top gainers in Online Marketplace - GRPN, NKE, SFIX, BABA, TRIP
- Top gainers in Omaha Top Picks - MCO, AXP
- Top gainers in NFT Stocks - MAT, FNKO, EBAY
- Top gainers in Metaverse Stocks - NVDA, AMD, SNAP, META, U
- Top gainers in Media Companies - SBGI, GTN, AMC, CMBM, RDIB
- Top gainers in Meatless Meat - HAIN, BG, UL, BYND, CAG
- Top gainers in MATANA Stocks - TSLA, NVDA, GOOGL, MSFT
- Top gainers in Marketplaces - ABNB, UBER
- Top gainers in Marijuana Stocks - CGC, GRWG, XLY, PMD, CRBP
- Top gainers in Made in America - WBA, HOG, IUSG, YUM, F
- Top gainers in Luxury Goods - CTHR, TPR, MOV, SIG
- Top gainers in Lithium Stocks - TSLA, ALB, SQM
- Top gainers in Lets reduce carbon footprint - TSLA, HMC, DELL, TGT, MCD
- Top gainers in Lets purify Water - BMI, SBS, DHR, MWA, ITRI
- Top gainers in Key Oil Stocks - BIP, PSX
- Top gainers in Key ETFs - XLK, FXI, QQQ, MGC, ESPO
- Top gainers in Key Currencies Stocks - FXY, FXE, FXB
- Top gainers in Key Chinese Stocks listed in US - CJJD, TME, BGNE, ZTO, EDU
- Top gainers in Key Bonds Stocks - PHB
- Top gainers in Its News time - SBGI, NYT, DJCO, LEE, SIRI
- Top gainers in Its Meal Time - DENN, WING, BJRI, DPZ, CBRL
- Top gainers in Inverse ETFs - SVXY, TMV, DUG, ERY, TTT
- Top gainers in Internet of Things Stocks - SWKS, HON
- Top gainers in Intelligent Infrastructure Stocks - KYN, WSFS, IRMD, AYI, IXJ
- Top gainers in Industry ETFs - PSI, GDX, GDXJ, IHF
- Top gainers in Index Funds - LABU, IVV, IJH, SDEM, PPA
- Top gainers in Human Evolutions Stocks - WVE, KRNY, SCOR, UPRO, PSET
- Top gainers in Household Items Stocks - SFM, COST, TGT, POST, GIS
- Top gainers in Holiday Companies - GOOG, EBAY, DLTR, BBY
- Top gainers in Health and Wellness - HLF, NKE, MED, LULU, FL
- Top gainers in Green Energy - TSLA, CLNE, SEDG, FSLR, CSIQ
- Top gainers in Gold & Silver Stocks - KAI, RVT, HFWA, MT, GNL
- Top gainers in Gig Economy - LYFT, UPWK, UBER
- Top gainers in Get Fit - NKE, LULU, PTON
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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