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: Investing in Technology Stocks: Opportunities and Challenges
- Pre Market Movers: Tesla Stock Slips Amid Concerns Over Overvaluation and Market Volatility
- Pre Market Movers: Amazon's AI Investments Face Regulatory Scrutiny Amidst Stock Market Volatility
- Pre Market Movers: Exciting New Strong Buy Stocks Added to Zacks Rank #1 List
- Pre Market Movers: BFA Law Investigates Potential Securities Fraud at Salesforce, Inc. (NYSE:CRM)
- Tadawul Most Active By Traded Value - 2222.SR,1120.SR,1150.SR,7203.SR,2010.SR
- Dubai DFM Most Active By Traded Value - EMAAR.DFM,EMIRATESNBD.DFM,DIB.DFM,GFH.DFM,SALIK.DFM
- Tadawul Top Volume Leaders - 6015.SR,2222.SR,2380.SR,4170.SR,1303.SR
- Dubai DFM Top Volume Leaders - DSI.DFM,UPP.DFM,GFH.DFM,SHUAA.DFM,EMAAR.DFM
- Tadawul Top Losers - 8020.SR,8060.SR,4020.SR,2360.SR,2050.SR
- Dubai DFM Top Losers - NIH.DFM,ALRAMZ.DFM,IFA.DFM,SALAMA.DFM,ALSALAMSUDAN.DFM
- Tadawul Top Gainers - 2380.SR,4051.SR,6050.SR,2140.SR,4291.SR
- Post Market Movers: Carlyle Group (CG) Offering Attractive Dividend Opportunities
- Post Market Movers: Hudson Pacific Properties (HPP) Reports Q2 FFO in Line with Estimates
- Post Market Movers: Enovis (ENOV) Beats Q2 Earnings Expectations
- Post Market Movers: Pure Storage Sets Date for Q2 Fiscal 2025 Financial Results Conference Call
- Post Market Movers: Clarivate Plc to Participate in Oppenheimer Conference
- Post Market Movers: Guardant Health Reports Q2 Loss, Exceeds Revenue Expectations
- Post Market Movers: Nutanix (NTNX) Soars Amidst Market Decline
- Post Market Movers: Salesforce Announces Timing of Second Quarter Fiscal 2025 Results Conference Call
- Top gainers in Women in Charge - GSK, GM, YUMC, PCG, MDLZ
- Top gainers in We Build Homes - SKY, LEGH
- Top gainers in We are retailers - PLCE, BURL, LB, DDS, FL
- Top gainers in We are Restaurants - ARKR, FAT, YUMC, ARMK, WEN
- Top gainers in Water World - CDZI, CWT, AWK, AWR, MSEX
- Top gainers in Wast Management - RSG, WCN, CWST, WM, AWX
- Top gainers in Warren Buffett Top Stocks - AAPL, BAC, KO, MCO, JPM
- Top gainers in US Streaming Companies - AAPL
- Top gainers in US Shipping Stocks - EXPD
- Top gainers in US Onshore Drilling Companies - SWN, FANG, RRC
- Top gainers in US Airline Stocks - FWRD, JBLU, EXPD, OMAB, RYAAY
- Top gainers in TOP US - Utilities Companies - D, SO, DTE, NEE, ETR
- Top gainers in TOP US - Technology Companies - AAPL, GOOG, IBM
- Top gainers in TOP US - Real Estate Companies - VTR
- Top gainers in TOP US - Industrials Companies - CAT, LMT
- Top gainers in TOP US - Healthcare Companies - MRK, ABBV, NVS
- Top gainers in TOP US - Financial Services Companies - BAC, GS, MA, JPM
- Top gainers in TOP US - Energy Companies - SU, XOM, COP, PBR, BP
- Top gainers in TOP US - Consumer Defense Companies - PM, MDLZ, PG, KO
- Top gainers in TOP US - Consumer Cyclical Companies - AMZN, 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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