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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 Semiconductor stocks - AMKR, PLAB, TTMI, CLS
- Top gainers in Rise of the Machines - TWLO, NVDA, INTC, MU, AMZN
- Top gainers in Railroad Companies - CP, RAIL, CNI, TRN, GBX
- Top gainers in Payment Processing Companies - GDOT, FICO, FLT, AXP, SQ
- Top gainers in Online Marketplace - REAL, PINS, GRPN, AMZN, BKNG
- Top gainers in Omaha Top Picks - AXP, CVX, MCO, BAC, OXY
- Top gainers in NFT Stocks - NET, DKNG, MAT, FNKO, EBAY
- Top gainers in Metaverse Stocks - SNAP, NVDA, META, MSFT, ADSK
- Top gainers in Media Companies - IHRT, TGNA, CNK, CMBM, PINS
- Top gainers in Meatless Meat - AMZN, BG, TSN
- Top gainers in MATANA Stocks - NVDA, GOOGL, AMZN, MSFT, TSLA
- Top gainers in Marketplaces - AMZN, SHOP, UBER, DASH, FVRR
- Top gainers in Marijuana Stocks - CRBP, GRWG, CGC, XLY
- Top gainers in Made in America - KR, STZ, DE, TAP, WHR
- Top gainers in Luxury Goods - SIG, MOV, TPR
- Top gainers in Lithium Stocks - ALB, TSLA, SQM
- Top gainers in Lets reduce carbon footprint - DELL, TSLA, UAL, BAC
- Top gainers in Lets purify Water - WAT, PNR, MWA, PCYO, CWT
- Top gainers in Key Oil Stocks - BIP, LBRT, PSX, CVX, XOM
- Top gainers in Key ETFs - XLK, QQQ, CLOU, EFA, VEA
- Top gainers in Key Currencies Stocks - FXY, FXB, FXE
- Top gainers in Key Commodities Stocks - DBB, SLV, GLD
- Top gainers in Key Chinese Stocks listed in US - TME, NTES, BGNE, IQ, PDD
- Top gainers in Key Bonds Stocks - BWX, BND, PHB
- Top gainers in Its News time - LEE, IHRT, TGNA, DJCO, CG
- Top gainers in Its Meal Time - AMZN, UBER, PLAY, PBPB, DENN
- Top gainers in Inverse ETFs - KOLD, LABD, FXP, DD, YXI
- Top gainers in Internet of Things Stocks - SWKS, HON
- Top gainers in Intelligent Infrastructure Stocks - HLX, PII, IRMD, IXJ, KYN
- Top gainers in Industry ETFs - PSI, GDXJ, GDX, IHF
- Top gainers in Index Funds - NUGT, IVV, IJH, PFXF, PPA
- Top gainers in Human Evolutions Stocks - WVE, UPRO, PSET, DBEU, KRNY
- Top gainers in Household Items Stocks - COST, TSN, PEP
- Top gainers in Holiday Companies - GOOG, AMZN, BBY, DLTR, EBAY
- Top gainers in Health and Wellness - HLF, HIBB, PLNT, PTON, LULU
- Top gainers in Green Energy - SEDG, ENPH, CSIQ, AY, NEE
- Top gainers in Gold & Silver Stocks - CULP, GNL, FMS, KAI, MT
- Top gainers in Gig Economy - UBER, DASH, FVRR, UPWK
- Top gainers in Get Fit - PTON, LULU, NKE
- Top gainers in Garden and Home - ACU, LMND, WSM, PINS, 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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