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 Cloud and Storage Stocks - CRWD, AMZN, TWLO, BABA, VEEV
- Top gainers in Clothing Companies - ANF, RL, JILL, URBN, GPS
- Top gainers in Clean Power & Energy Stocks - SNFCA
- Top gainers in Chip Stocks - QRVO, AVGO, TSM, MRVL, QCOM
- Top gainers in China Stocks - UUUU, BABA, JETS, CHIQ, CTAS
- Top gainers in China emerging markets stocks - NOAH, MFC, EDU, BABA, MCHI
- Top gainers in Chemicals Stocks - VHI, FF, HUN, KRO, RPM
- Top gainers in ChatGPT Stocks - AI, AMZN, MSFT, NVDA, INTC
- Top gainers in Cannabiz pot stocks - CRON, ABBV, STZ
- Top gainers in Business Development Companies (BDCs) - HTGC
- Top gainers in Blue Chip Stocks - MSFT, ABBV, INTC, CI, JNJ
- Top gainers in Blockchain Technology Companies - TSM, RIOT, MARA, NVDA, INTC
- Top gainers in Blockchain stocks - OCANF, FLGT
- Top gainers in Bitcoin Stocks - HIVE, RIOT, MARA, GBTC, MSTR
- Top gainers in Bitcoin Resurgence ETFs - AI, BLOK, AMZN, MSFT, NVDA
- Top gainers in Biotechnology and Gene Therapy - CRSP, IDXX, LLY, GILD, DHR
- Top gainers in Big Oil Companies - OXY, BP, COP, CVX, XOM
- Top gainers in Big Energy Firms - OXY, FANG, HAL, COP, SLB
- Top gainers in Autonomous Vehicles - GM, GM, MU, BB, NXPI
- Top gainers in Augmented Reality Stocks - QCOM, IMMR, MSFT, NVDA
- Top gainers in ARK Top Holdings - NTLA, TWLO, ROKU, TDOC, ZM
- Top gainers in Anti-Inflation Stocks - BMY, LOW
- Top gainers in AI Companies - AI, NVDA, GOOGL
- Top gainers in 5G Stocks - NICK, GLNG, CROX, MOMO, WING
- Top gainers in 5G Boom ETFs - FIVG, NXTG, XLC
- Top gainers in 21st Century Economics Stocks - SYNA, LEE, RLJ, FIS
- 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
- Dubai DFM Most Active By Traded Value - EMAAR.DFM,SPINNEYS.DFM,EMIRATESNBD.DFM,DSI.DFM,DIB.DFM
- Dubai DFM Top Volume Leaders - DSI.DFM,SPINNEYS.DFM,UPP.DFM,EMAAR.DFM,DEYAAR.DFM
- Dubai DFM Top Losers - ALSALAMSUDAN.DFM,TAKAFUL-EM.DFM,EMPOWER.DFM,AIRARABIA.DFM,DIC.DFM
- Dubai DFM Top Gainers - AGLTY.DFM,UPP.DFM,EMIRATESNBD.DFM,EMAARDEV.DFM,DTC.DFM
- Dubai DFM Most Active By Traded Value - EMAAR.DFM,SPINNEYS.DFM,EMIRATESNBD.DFM,DSI.DFM,DIB.DFM
- Dubai DFM Top Volume Leaders - DSI.DFM,SPINNEYS.DFM,UPP.DFM,EMAAR.DFM,DEYAAR.DFM
- Dubai DFM Top Losers - ALSALAMSUDAN.DFM,TAKAFUL-EM.DFM,EMPOWER.DFM,AIRARABIA.DFM,DIC.DFM
- Dubai DFM Top Gainers - AGLTY.DFM,UPP.DFM,EMIRATESNBD.DFM,EMAARDEV.DFM,DTC.DFM
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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