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: Michael Burry's Stock Surges 50% in One Week
- Pre Market Movers: Investing in the Future: DigitalOcean and Snowflake Offer Promising Growth Opportunities
- Pre Market Movers: Palantir's Potential Addition to the S&P 500 and the Role of Generative AI in the Energy Sector
- Pre Market Movers: Ford's Assisted-Driving Technology Under Investigation After Fatal Crash
- Pre Market Movers: Nancy Pelosi's Largest Stock Holding
- Pre Market Movers: Third Point Confirms Funding Lawsuits Against Tech Giants Through R2 Semiconductor
- Pre Market Movers: 7 Growth Stocks Set to Make Millionaires
- Pre Market Movers: Nancy Pelosi's Largest Stock Holding
- Pre Market Movers: Tesla Stock Rises After Elon Musk's Interview
- Pre Market Movers: Nancy Pelosi's Stock Portfolio Revealed
- Pre Market Movers: Michael Burry's Stock Surges 50% in One Week
- Pre Market Movers: Investing in the Future: DigitalOcean and Snowflake
- Tadawul Most Active By Traded Value - 2120.SR,1320.SR,4250.SR,1120.SR,2100.SR
- Dubai DFM Most Active By Traded Value - EMAAR.DFM,EMAARDEV.DFM,EMPOWER.DFM,UPP.DFM,AIRARABIA.DFM
- Dubai DFM Top Volume Leaders - UPP.DFM,EMPOWER.DFM,GFH.DFM,AIRARABIA.DFM,DEYAAR.DFM
- Tadawul Top Volume Leaders - 4170.SR,4061.SR,4110.SR,2230.SR,4220.SR
- Tadawul Top Losers - 1320.SR,2300.SR,8311.SR,4071.SR,8120.SR
- Dubai DFM Top Losers - OC.DFM,WATANIA.DFM,SALIK.DFM,SALAM_BAH.DFM,UPP.DFM
- Tadawul Top Gainers - 4337.SR,2130.SR,2240.SR,4220.SR,4170.SR
- Dubai DFM Top Gainers - ALFIRDOUS.DFM,EMAAR.DFM,GFH.DFM,DIC.DFM,CBD.DFM
- Post Market Movers: NCino to Acquire DocFox, Enhance Onboarding in Cloud Banking Solutions
- Post Market Movers: PVH Corp. Set to Release Q4 and Year-End 2023 Earnings Report
- Post Market Movers: Capitalizing on the Data Explosion: 3 Storage Stocks to Watch
- Post Market Movers: 3 Underdog Generative AI Stocks to Watch in the Market
- Top gainers in Women in Charge - GPS, EB, ANET, PEP, HPE
- Top gainers in Welcome to the Matrix - NVDA, MU, MSFT, INTC
- Top gainers in We Build Homes - HOV, NVR, GRBK, MDC, ITB
- Top gainers in We are retailers - GPS, ANF, FIVE, DG, TGT
- Top gainers in We are Restaurants - STKS, PZZA, FAT, PBPB, QSR
- Top gainers in Water World - CDZI, AWK
- Top gainers in Wast Management - PESI, CLH, SRCL, ABM, AWX
- Top gainers in Warren Buffett Top Stocks - BAC, KHC, JPM, AXP, BK
- Top gainers in Video Game Stocks - TTWO
- Top gainers in US Streaming Companies - DIS, CMCSA, AAPL
- Top gainers in US Shipping Stocks - FDX
- Top gainers in US Onshore Drilling Companies - PXD, RRC, FANG
- Top gainers in US Airline Stocks - RYAAY, AAL, DAL, VLRS, CPA
- Top gainers in TOP US - Utilities Companies - D, DTE, ETR, SO, WEC
- Top gainers in TOP US - Technology Companies - GOOG, META, ORCL, CSCO, AAPL
- Top gainers in TOP US - Real Estate Companies - EQIX, SPG, VTR, BXP
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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