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: Salesforce, Inc. Faces Securities Fraud Allegations
- Tadawul Most Active By Traded Value - 4164.SR,2082.SR,1120.SR,1150.SR,1180.SR
- Dubai DFM Most Active By Traded Value - EMAAR.DFM,EMIRATESNBD.DFM,SALIK.DFM,DIB.DFM,EMAARDEV.DFM
- Tadawul Top Volume Leaders - 4170.SR,4130.SR,4061.SR,1150.SR,6015.SR
- Dubai DFM Top Volume Leaders - DSI.DFM,EMAAR.DFM,SHUAA.DFM,DEYAAR.DFM,SALIK.DFM
- Tadawul Top Losers - 6050.SR,4170.SR,8240.SR,4061.SR,4005.SR
- Dubai DFM Top Losers - ALRAMZ.DFM,NGI.DFM,TAKAFUL-EM.DFM,WATANIA.DFM,NIH.DFM
- Tadawul Top Gainers - 8311.SR,8310.SR,2130.SR,8190.SR,4130.SR
- Dubai DFM Top Gainers - DRC.DFM,AGLTY.DFM,AMAN.DFM,IFA.DFM,EMIRATESNBD.DFM
- Post Market Movers: Abingworth Appoints New MD and Carlyle's Jeff Currie Addresses Oil Market Concerns
- Post Market Movers: Teradyne (TER) Outperforms Market Expectations: Key Facts to Note
- Post Market Movers: Hudson Pacific Properties Stock Plummets as REIT Drops Dividend Amid Lingering Effects of Hollywood Strikes
- Post Market Movers: Nutanix: Strong Growth Potential Makes It a Buy
- Post Market Movers: Salesforce CRM's Acquisition of Own: Analyzing the Impact on Stock Performance
- Top gainers in Women in Charge - ORCL, AMD, ACN, AWK, EB
- Top gainers in Welcome to the Matrix - AMD, MSFT, NVDA, SNAP, MU
- Top gainers in We Build Homes - HOV, NAIL, LEGH, PHM, PKB
- Top gainers in We are retailers - BOOT, AMZN, ODP, WMT, GES
- Top gainers in We are Restaurants - STKS, WING, RRGB, ARKR, KRUS
- Top gainers in Water World - MSEX, AWR, GWRS, CWCO, YORW
- Top gainers in Wast Management - AWX, CLH, RSG, QRHC, SRCL
- Top gainers in Warren Buffett Top Stocks - MCO
- Top gainers in Wall Street Bets - BB
- Top gainers in Video Game Stocks - RBLX
- Top gainers in US Streaming Companies - ROKU, DIS
- Top gainers in US Shipping Stocks - UPS, FDX, CHRW
- Top gainers in US Onshore Drilling Companies - RRC, AR, SWN
- Top gainers in US Airline Stocks - FWRD, AZUL, JBLU, SAVE, UPS
- Top gainers in TOP US - Utilities Companies - NEE, DTE, WEC, D, NGG
- Top gainers in TOP US - Technology Companies - ORCL, MSFT, IBM, QCOM, GOOG
- Top gainers in TOP US - Real Estate Companies - EQIX, PLD, CBRE, VTR, SPG
- Top gainers in TOP US - Industrials Companies - MMM, GE, UPS, DHR, CAT
- Top gainers in TOP US - Healthcare Companies - ABBV, PFE, AMGN, UNH, JNJ
- Top gainers in TOP US - Financial Services Companies - MA
- Top gainers in TOP US - Consumer Defense Companies - WMT, PG
- Top gainers in TOP US - Consumer Cyclical Companies - BABA, AMZN, HD, SBUX, TJX
- Top gainers in TOP US - Basic Materials - SHW, ECL
- Top gainers in TOP US 30 Stocks - PCH, CASY, VZ, XLK, IMKTA
- Top gainers in Top OIL Stocks - EPIX, SVRA, MOH, HCSG, PAYC
- Top gainers in Top GOLD Stocks - KGC, SSRM, FMS, JNUG, SA
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