Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Post Market Movers: Investing in the AI Revolution: The Best Pick and Shovel Vendors
- Post Market Movers: Lazard (LAZ) Q4 Earnings Exceed Expectations, Stock Surges 5.4%
- Post Market Movers: Guardant Health (GH) Shows Potential for Turnaround After Recent Decline
- Post Market Movers: Snowflake Stock Surges on Amazon and Microsoft Performance
- Post Market Movers: Investing in the AI Revolution: The Best Pick and Shovel Vendors
- Top gainers in Women in Charge - CLX, MAT, AMD, ANET, GPS
- Top gainers in Welcome to the Matrix - SNAP, NVDA, AMD, MSFT, MU
- Top gainers in We Build Homes - CVCO, NVR, LEGH, SKY, MDC
- Top gainers in We are retailers - AMZN, BOOT, URBN, ANF, AEO
- Top gainers in We are Restaurants - PBPB, CMG, PLAY, TXRH, CBRL
- Top gainers in Wast Management - PESI, CWST, CLH, SRCL
- Top gainers in Warren Buffett Top Stocks - AXP, WFC, JPM, BK
- Top gainers in Wall Street Bets - GME, PLAY, WISH, WISH
- Top gainers in Video Game Stocks - RBLX, TTWO
- Top gainers in US Streaming Companies - ROKU, DIS
- Top gainers in US Shipping Stocks - CHRW, EXPD, FDX
- Top gainers in US Airline Stocks - XPO, SKYW, PAC, JBLU, AZUL
- Top gainers in TOP US - Technology Companies - META, MSFT, GOOG, QCOM, ORCL
- Top gainers in TOP US - Industrials Companies - CAT, GE, DHR
- Top gainers in TOP US - Healthcare Companies - UNH, ABBV
- Top gainers in TOP US - Financial Services Companies - GS, WFC, JPM, V
- Top gainers in TOP US - Energy Companies - CVX, PSX
- Top gainers in TOP US - Consumer Defense Companies - WMT, TGT, MDLZ
- Top gainers in TOP US - Consumer Cyclical Companies - AMZN, TJX, DIS
- Top gainers in TOP US - Basic Materials - DD, SHW
- Top gainers in TOP US 30 Stocks - PDFS, XLK, MOV, IMKTA, CASY
- Top gainers in Top OIL Stocks - EPIX, NVDA, PRI, CNK, PAYC
- Top gainers in Top GOLD Stocks - DUST, DZZ, ATGE, KAI, LSTR
- Top gainers in The TECH Giants - AMZN, SNAP, NVDA, AVGO, SQ
- Top gainers in The Giants - META, AMZN, NVDA, MSFT, GOOGL
- Top gainers in Telecom Giants - MSI, BBY, RCI, CHT
- Top gainers in Tech Stocks - AMZN, SNPS, MU, AMAT, PYPL
- Top gainers in Stocks with Regular Dividends - CLX, COST, ADP, DFS, MDLZ
- Top gainers in Stay at Home Stocks - AMZN, PINS, CLX, UBER, MSFT
- Top gainers in Sport, sponsors, brands and more. - DKNG, PENN, GRVY
- Top gainers in Sports Gaming World - AMZN, NVDA, AMD, GME, MSFT
- Top gainers in SPDR Sectors - XLC, XLY, XLK, XLI, XLF
- Top gainers in SPACs - DKNG
- Top gainers in Space: The Final Frontier - AMZN, ASTC, HXL, VTSI, SPR
- Top gainers in Software ETFs - SKYY, AIQ, GAMR, XSW, HACK
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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