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: Shawbrook Partners with nCino to Streamline Lending Processes
- Pre Market Movers: Small and Mid-Cap Stocks Shine as Big Tech Cools Off in July
- Pre Market Movers: BFA Law Investigates Salesforce for Securities Fraud
- Tadawul Most Active By Traded Value - 1120.SR,2200.SR,1180.SR,4061.SR,8180.SR
- Dubai DFM Most Active By Traded Value - EMAAR.DFM,EMIRATESNBD.DFM,DIB.DFM,DEWA.DFM,EMAARDEV.DFM
- Tadawul Top Volume Leaders - 4061.SR,1831.SR,6015.SR,1303.SR,8180.SR
- Dubai DFM Top Volume Leaders - DSI.DFM,SHUAA.DFM,EMAAR.DFM,DEYAAR.DFM,DIB.DFM
- Tadawul Top Losers - 3010.SR,8030.SR,3003.SR,1830.SR,6070.SR
- Dubai DFM Top Losers - IFA.DFM,WATANIA.DFM,ALFIRDOUS.DFM,EMAAR.DFM,SHUAA.DFM
- Tadawul Top Gainers - 4061.SR,2200.SR,2270.SR,4100.SR,4014.SR
- Dubai DFM Top Gainers - NIH.DFM,MASQ.DFM,AGLTY.DFM,CBD.DFM,PARKIN.DFM
- Post Market Movers: Analyzing Carlyle Group's Q2 Performance Beyond Wall Street Estimates
- Post Market Movers: Analysts Anticipate Decline in Earnings for Enovis (ENOV): Key Expectations
- Post Market Movers: Cathie Wood Snaps Up Bargains: 3 New Stocks in Her Portfolio
- Post Market Movers: Investing in Snowflake: A Look at the Machine Learning Stocks for Summer 2024
- Post Market Movers: Nutanix (NTNX) Stock News: Upgraded to Buy with Growing Optimism
- Post Market Movers: Investigation on Behalf of Salesforce, Inc. Investors Underway
- Top gainers in Women in Charge - ANET, AN, HPE, AMD, REAL
- Top gainers in Welcome to the Matrix - NVDA, QCOM, MU, AMD, INTC
- Top gainers in We Build Homes - PKB, LEGH, KBH, XHB, NAIL
- Top gainers in We are retailers - LB, DKS, KSS, BOOT, GPS
- Top gainers in We are Restaurants - GTIM, KRUS, CMG, SBUX, QSR
- Top gainers in Water World - CDZI, CWCO, YORW, MSEX, PCYO
- Top gainers in Wast Management - CLH, PESI, RSG, CWST, WCN
- Top gainers in Warren Buffett Top Stocks - KHC, AAPL, AXP
- Top gainers in Wall Street Bets - AMC, GME, BB, TLRY
- Top gainers in Video Game Stocks - EA, RBLX, TTWO
- Top gainers in US Streaming Companies - AAPL, ROKU, CMCSA
- Top gainers in US Shipping Stocks - UPS, FDX
- Top gainers in US Onshore Drilling Companies - FANG
- Top gainers in US Airline Stocks - OMAB, SKYW, PAC, XPO, ALGT
- Top gainers in TOP US - Utilities Companies - NEE, NGG, WEC, D, SO
- Top gainers in TOP US - Technology Companies - QCOM, ORCL, META, AAPL, GOOG
- Top gainers in TOP US - Real Estate Companies - EQIX, BAM, CBRE, PLD
- Top gainers in TOP US - Industrials Companies - BA, GE, CAT, UPS, HON
- Top gainers in TOP US - Healthcare Companies - UNH
- Top gainers in TOP US - Financial Services Companies - MA, V, GS
- Top gainers in TOP US - Energy Companies - SU, BP, PBR, COP, HAL
- Top gainers in TOP US - Consumer Defense Companies - KHC, MDLZ, TGT, PM
- Top gainers in TOP US - Consumer Cyclical Companies - AMZN, SBUX, HD, BABA, NKE
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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