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 Consumer Staples Stocks - WMT, PG, KO, COST
- Top gainers in Cloud and Storage Stocks - AMZN, CRM, BABA, ADBE, MSFT
- Top gainers in Clothing Companies - CTRN, SGC, UAA, CRWS, CPRI
- Top gainers in Clean Power & Energy Stocks - SNFCA, CRVL
- Top gainers in Chip Stocks - NVR, AVGO
- Top gainers in China Stocks - WVVI, UUUU, ECH, BABA, PFFD
- Top gainers in China emerging markets stocks - NIO, EDU, NOAH, BABA, MCHI
- Top gainers in Chemicals Stocks - ALB, SQM, CE, GPRE, LXU
- Top gainers in ChatGPT Stocks - AMZN, AI, CRM, MSFT, NVDA
- Top gainers in Cannabiz pot stocks - CRON, SMG, ABBV
- Top gainers in Business Development Companies (BDCs) - HTGC, ARCC, FSK
- Top gainers in Blue Chip Stocks - BA, T, ABBV, MSFT
- Top gainers in Blockchain Technology Companies - MARA, NVDA, AXP
- Top gainers in Blockchain stocks - ISUZY
- Top gainers in Bitcoin Stocks - HIVE, MARA
- Top gainers in Bitcoin Resurgence ETFs - AMZN, BLOK, AI, CRM, MSFT
- Top gainers in Biotechnology and Gene Therapy - ALNY, WAT, CRSP, BIIB, DGX
- Top gainers in Big Oil Companies - XOM
- Top gainers in Big Energy Firms - XOM
- Top gainers in Autonomous Vehicles - NIO, NKLA, TSLA, THO, WGO
- Top gainers in Augmented Reality Stocks - AAPL, MSFT, NVDA
- Top gainers in ARK Top Holdings - EXAS, TSLA, ROKU, TDOC
- Top gainers in Anti-Inflation Stocks - LOW, BMY, CLX, JKHY
- Top gainers in AI Companies - TSLA, UPST, LMND, AI, NVDA
- Top gainers in 5G Stocks - AAPL, WK, FGBI, WING, AVGO
- Top gainers in 5G Boom ETFs - ESPO, XTL
- Top gainers in 21st Century Economics Stocks - BRKL, LGIH, LEE, MOV
- 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 - DSI.DFM,EMAAR.DFM,DIB.DFM,EMIRATESNBD.DFM,UPP.DFM
- Dubai DFM Top Volume Leaders - DSI.DFM,UPP.DFM,DEWA.DFM,EMPOWER.DFM,EMAAR.DFM
- Dubai DFM Top Losers - SUKOONTAKAFL.DFM,TABREED.DFM,SALAM_BAH.DFM,TAALEEM.DFM,AGLTY.DFM
- Dubai DFM Top Gainers - ALSALAMSUDAN.DFM,WATANIA.DFM,OC.DFM,SPINNEYS.DFM,AMAN.DFM
- Top gainers in Women in Charge - HPE, ANET, SAIC, SHE
- Top gainers in Welcome to the Matrix - SNAP, NVDA, MU, MSFT, INTC
- Top gainers in We are retailers - GME, ANF, PLCE, COST, OLLI
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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