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 Software as a Service (SAAS) - SHOP, TEAM, NET, DDOG, ZS
- Top gainers in Software-as-a-service Companies - ORCL, RNG, ZS, TEAM, SPLK
- Top gainers in Social Responsible Investing - MRK, BMY, PG, ITW, MMM
- Top gainers in Social Media - LEE, SNAP, ANGI, YY, EVC
- Top gainers in Smart Wearables - TNDM, DXCM, MDT, VUZI
- Top gainers in Smart Transportation Stocks - UPLD, AXL, TOLZ, RGA
- Top gainers in Small Business Economy - FVRR, HRB, PAYX, BAC, AXP
- Top gainers in Set-It-And-Forget-It ETFs - VHT
- Top gainers in Semiconductor Stocks - NVDA, MU
- Top gainers in Rise of the Machines - TMO, NVDA, TRMB, MU, IBM
- Top gainers in Railroad Companies - RAIL, CNI, CP, CSX
- Top gainers in Payment Processing Companies - MELI, WFC, WEX, BAC, AXP
- Top gainers in Online Marketplace - W, TRIP, BKNG, LEVI, GRPN
- Top gainers in Omaha Top Picks - BAC, AXP
- Top gainers in NFT Stocks - DKNG, FNKO, NET
- Top gainers in Metaverse Stocks - SNAP, NVDA, META, ADSK, AMD
- Top gainers in Media Companies - IMTE, SBGI, SPOT, RDIB, ROKU
- Top gainers in Meatless Meat - BYND, UL, HAIN
- Top gainers in MATANA Stocks - NVDA
- Top gainers in Marketplaces - FVRR, SHOP, ABNB, DASH
- Top gainers in Marijuana Stocks - CRBP
- Top gainers in Major US Indices - $GSPC
- Top gainers in Made in America - TSCO, STZ, MO, WHR, PM
- Top gainers in Luxury Goods - TPR
- Top gainers in Lets reduce carbon footprint - UAL, HMC, TGT, BAC, SBUX
- Top gainers in Lets purify Water - PNR, BMI, DHR, TTC, XYL
- Top gainers in Key ETFs - XLV, XLF, EFA, VEA, ESPO
- Top gainers in Key Currencies Stocks - FXE, FXB
- Top gainers in Key Commodities Stocks - GLD, SLV
- Top gainers in Key Chinese Stocks listed in US - EDU, TME
- Top gainers in Its News time - SBGI, LEE, NXST, TGNA, TRI
- Top gainers in Its Meal Time - TAST, JACK, PBPB, BYND, DENN
- Top gainers in Inverse ETFs - NRGD, DRIP, TTT, TMV, ERY
- Top gainers in Internet of Things Stocks - DXCM, HON
- Top gainers in Intelligent Infrastructure Stocks - AYI, IXJ, IRMD, PWZ
- Top gainers in Industry ETFs - IHF, GDXJ, GDX
- Top gainers in Index Funds - LABU, SDEM, DUST, PFXF, PPA
- Top gainers in Human Evolutions Stocks - WVE, DBEU, KRNY
- Top gainers in Household Items Stocks - SFM, TGT, BYND, COST, POST
- Top gainers in Holiday Companies - JWN
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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