Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Top gainers in Clothing Companies - SGC, GIII, LAKE, TLYS, URBN
- Top gainers in Clean Power & Energy Stocks - TOLZ, SCHD, XONE
- Top gainers in Chip Stocks - QCOM, AVGO, TSM
- Top gainers in China Stocks - UUUU, WVVI, SLCA, CTAS, PFFD
- Top gainers in China emerging markets stocks - EDU
- Top gainers in Chemicals Stocks - NTIC, WLKP, BAK, FF, SHW
- Top gainers in ChatGPT Stocks - IBM, MSFT, GOOGL, CRM
- Top gainers in Cannabiz pot stocks - STZ
- Top gainers in Business Development Companies (BDCs) - HTGC, ARCC, OCSL, BIZD, GAIN
- Top gainers in Blue Chip Stocks - T, MSFT, JNJ
- Top gainers in Blockchain Technology Companies - IBM, TSM
- Top gainers in Bitcoin Resurgence ETFs - IBM, MSFT, GOOGL, CRM
- Top gainers in Biotechnology and Gene Therapy - CLLS, REGN, GILD, WAT, GSK
- Top gainers in Big Oil Companies - OXY, CVX, XOM, BP, COP
- Top gainers in Big Energy Firms - SLB, OXY, FANG, CVX, XOM
- Top gainers in Autonomous Vehicles - IBM, FSS, AZO, ORLY, QCOM
- Top gainers in Augmented Reality Stocks - IMMR, MSFT, QCOM, AAPL
- Top gainers in ARK Top Holdings - ZM, TWLO, TWLO, TDOC
- Top gainers in Anti-Inflation Stocks - CLX, DLTR, JKHY, BMY
- Top gainers in AI Companies - PLTR, GOOGL
- Top gainers in 5G Stocks - WIT, SSL, SHEN, STNG, GLNG
- Top gainers in 5G Boom ETFs - NXTG, XLC, XTL, FIVG
- Top gainers in 21st Century Economics Stocks - LEE, TOLZ
- Intraday US Stocks - Price Volume Leaders
- Intraday US Stocks - Price Volume Leaders
- Intraday US Stocks - Price Volume Leaders
- Intraday US Stocks - Price Volume Leaders
- Intraday US Stocks - Price Volume Leaders
- Intraday US Stocks - Price Volume Leaders
- Pre Market Movers: SocGen Markets Advises Investors to Stay Rational and Sell Unwanted Stocks
- Pre Market Movers: Will Nvidia Surpass Apple in Value by 2030?
- Pre Market Movers: Semiconductor Sales Surge in 2023; Intel Stock Poised for Major Rally in 2024
- Pre Market Movers: Wells Fargo Reports 4Q Earnings Beat; Warns of Lower Net Interest Income
- Pre Market Movers: Nvidia's Dominance in the Semiconductor Market: A Look into 2024
- Pre Market Movers: Tesla's Impact on the Electric Vehicle Market
- Pre Market Movers: Tech Industry News: Amazon's Audible Layoffs, Walmart's AI Concierge, and SocGen's Market Insights
- Pre Market Movers: Top Breakout Stocks for Stellar Returns
- Pre Market Movers: SocGen Markets Advises Investors to Stay Rational and Sell Unwanted Stocks
- Pre Market Movers: Will Nvidia Surpass Apple in Value by 2030?
- Pre Market Movers: Semiconductor Sales Surge in 2023; Intel Stock Primed for Major Rally in 2024
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