Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Pre Market Movers: The Case for Adding Bitcoin to a 60/40 Portfolio
- Pre Market Movers: Ford Motor Reaffirms Annual Core Profit Outlook
- Pre Market Movers: The Future of Bitcoin in Investment Portfolios and Apple's Stock Performance
- Pre Market Movers: Intel Stock Soars as Wall Street Set to Post Fifth Winning Month
- Pre Market Movers: Meta Oversight Board Urges Company to End Ban on Arabic Word 'Shaheed'
- Pre Market Movers: The Rise of Bitcoin in Investment Portfolios and Promising Stocks in the Auto Industry
- Pre Market Movers: Tesla Stock Faces Downgrades as EV Market Headwinds Mount
- Pre Market Movers: Amazon Expands Same-Day Prescription Delivery and Warren Buffett Invests in Liberty SiriusXM Group
- Pre Market Movers: Potential Growth Stocks Predicted to Surge by Wall Street Analysts
- Pre Market Movers: SNOW Stock Avalanche Continues
- Dubai DFM Most Active By Traded Value - EMAAR.DFM,EMAARDEV.DFM,DFM.DFM,GFH.DFM,DIB.DFM
- Dubai DFM Top Volume Leaders - UPP.DFM,ITHMR.DFM,ALFIRDOUS.DFM,DFM.DFM,GFH.DFM
- Dubai DFM Top Losers - AIRARABIA.DFM,SALAM_BAH.DFM,MASQ.DFM,TABREED.DFM,ERC.DFM
- Dubai DFM Top Gainers - ALFIRDOUS.DFM,ITHMR.DFM,EKTTITAB.DFM,DNIR.DFM,AMANAT.DFM
- Post Market Movers: Wall Street's Top Robotics Stocks: Transforming Industries and Creating Opportunities
- Post Market Movers: Cloud Computing Stocks: 3 to Sell in March
- Post Market Movers: Salesforce Inc. Explores New Territory with Generative AI
- Top gainers in Women in Charge - YUMC, TGNA, CE, GM, GSK
- Top gainers in Welcome to the Matrix - MU, NVDA
- Top gainers in We Build Homes - MTH, TMHC, KBH, GRBK
- Top gainers in We are retailers - GME, FL, CONN, TGT, FIVE
- Top gainers in We are Restaurants - RRGB, RAVE, YUMC, FAT, DPZ
- Top gainers in Water World - GWRS, CWCO, YORW
- Top gainers in Wast Management - QRHC, CLH, SRCL, ABM
- Top gainers in Warren Buffett Top Stocks - KHC, BK, AXP
- Top gainers in Wall Street Bets - GME, AMC, WISH
- Top gainers in US Streaming Companies - DIS, ROKU
- Top gainers in US Shipping Stocks - CHRW, UPS
- Top gainers in US Onshore Drilling Companies - AR, PXD, FANG, RRC, SWN
- Top gainers in US Airline Stocks - AIRT, JBLU, OMAB, HA, SKYW
- Top gainers in TOP US - Utilities Companies - NEE, DUK, NGG
- Top gainers in TOP US - Industrials Companies - BA, UPS, LMT
- Top gainers in TOP US - Healthcare Companies - AMGN, MRK, PFE, ABBV, JNJ
- Top gainers in TOP US - Financial Services Companies - C
- Top gainers in TOP US - Energy Companies - COP, SU, PBR, BP, CVX
- Top gainers in TOP US - Consumer Defense Companies - TGT, KHC, PEP, PM
- Top gainers in TOP US - Consumer Cyclical Companies - DIS, AMZN
- Top gainers in TOP US - Basic Materials - AA, MT, NTR, RIO, DD
- Top gainers in TOP US 30 Stocks - BA, VZ, CASY, PDFS, IMKTA
- Top gainers in Top OIL Stocks - AP, DHX, CLH, HMN, BP
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.
Or start with