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 Diversity and Inclusion - SBUX, ACN, CRM, BLK, CSCO
- Top gainers in Disruptive Tech ETFs - FIVG, SNSR, ITEQ, DTEC
- Top gainers in Defense Stocks - DFEN, SPR, BA, HEI, OSIS
- Top gainers in Cyber Security Stocks - SYNA, AJG, TRS, STE, RINF
- Top gainers in Cybersecurity - CRWD, PANW, NET, FTNT, ZS
- Top gainers in Crypto Companies - HOOD
- Top gainers in Creative Solutions and Designs - SNAP, AAPL, DIS, WPP, INTU
- Top gainers in Coronavirus Stocks - APT
- Top gainers in Consumer Staples Stocks - WMT, COST, STZ, KO
- Top gainers in Cloud and Storage Stocks - CRWD, WDAY, GOOG, VEEV, AMZN
- Top gainers in Clothing Companies - CATO, LULU, GIL, ROST, VNCE
- Top gainers in Clean Power & Energy Stocks - CRVL, SCHD, XONE
- Top gainers in Chip Stocks - TSM, MRVL, QCOM, QRVO, AVGO
- Top gainers in China Stocks - JETS, SFBS, CTAS, CHIQ, SLCA
- Top gainers in China emerging markets stocks - NOAH, MCHI
- Top gainers in Chemicals Stocks - VHI, ESI, NGVT, WLK, CE
- Top gainers in ChatGPT Stocks - NVDA, INTC, BIDU, GOOGL, AMZN
- Top gainers in Cannabiz pot stocks - CRBP, SMG, ABBV, STZ
- Top gainers in Business Development Companies (BDCs) - PSEC, FSK, ARCC, BIZD, HTGC
- Top gainers in Blue Chip Stocks - BA, INTC, MSFT, ABBV, JNJ
- Top gainers in Blockchain Technology Companies - TSM, NVDA, AMD, INTC, CSCO
- Top gainers in Blockchain stocks - FLGT
- Top gainers in Bitcoin Resurgence ETFs - NVDA, INTC, BIDU, GOOGL, AMZN
- Top gainers in Biotechnology and Gene Therapy - CLLS, WAT, LH, IDXX, A
- Top gainers in Big Oil Companies - OXY, BP
- Top gainers in Big Energy Firms - SLB, OXY, HAL, DVN, FANG
- Top gainers in Autonomous Vehicles - QCOM, STM, TM, NXPI, UBER
- Top gainers in Augmented Reality Stocks - QCOM, AAPL, LITE, NVDA, MSFT
- Top gainers in ARK Top Holdings - TDOC, EXAS, SQ, TWLO, TWLO
- Top gainers in Anti-Inflation Stocks - BMY, LOW
- Top gainers in AI Companies - NVDA, GOOGL, PLTR, UPST
- Top gainers in 5G Stocks - AVGO, AAPL, ADI, WLK, PTEN
- Top gainers in 5G Boom ETFs - FIVG, SNSR, XLC, NXTG, XTL
- Top gainers in 21st Century Economics Stocks - LEE, SYNA, LGIH, MOV, BRKL
- 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
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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