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 Education World - LAUR, APEI, EDU, AFYA, TAL
- Top gainers in E-Commerce Companies - MELI, SE, SHOP, CPNG, ETSY
- Top gainers in Drinks - MNST, CELH, BUD, KDP, STZ
- Top gainers in Dow 30 Stocks - AAPL, PDFS, PCH, VO, KFFB
- Top gainers in Diversity and Inclusion - SFIX, ADBE, TPR, NACP, ACN
- Top gainers in Disruptive Tech ETFs - FIVG, SNSR, ARKK, DTEC, ARKF
- Top gainers in Disease-fighting Companies - NVAX
- Top gainers in Defense Stocks - ATRO, VSEC, TGI, KTOS, CW
- Top gainers in Cyber Security Stocks - BRKL, KNDI, STE, SYNA, AJG
- Top gainers in Cybersecurity - CRWD, OKTA, CHKP, ZS, PANW
- Top gainers in Crypto Companies - MSTR, MARA, HOOD, RIOT
- Top gainers in Creative Solutions and Designs - AAPL, NFLX, INTU, MSFT, QSR
- Top gainers in Coronavirus Stocks - VIR, LAKE, NVAX, APT, INO
- Top gainers in Consumer Staples Stocks - COST, STZ, PG, KO, WMT
- Top gainers in Cloud and Storage Stocks - MSFT, ADBE, CRWD, WDAY, BABA
- Top gainers in Clothing Companies - LAKE, GPS, CATO, ANF, ROST
- Top gainers in Clean Power & Energy Stocks - EMKR, SCHD, TOLZ, CRVL, XONE
- Top gainers in Chip Stocks - TSM, AVGO, AMD, MRVL, NVR
- Top gainers in China Stocks - WVVI, SFBS, ECH, CTAS, BABA
- Top gainers in China emerging markets stocks - EDU, NOAH, LVMUY, MFC, BABA
- Top gainers in Chemicals Stocks - TSE, ODC, BAK, CC, BCPC
- Top gainers in ChatGPT Stocks - AI, NVDA, MSFT, BIDU, INTC
- Top gainers in Cannabiz pot stocks - TLRY, SMG, ABBV, CRBP, STZ
- Top gainers in Business Development Companies (BDCs) - HTGC, FSK, NMFC, BIZD, ARCC
- Top gainers in Blue Chip Stocks - MSFT, ABBV, INTC, BA, MMM
- Top gainers in Blockchain Technology Companies - TSM, NVDA, AMD, MARA, INTC
- Top gainers in Blockchain stocks - FLGT, ISUZY
- Top gainers in Bitcoin Stocks - MSTR, GBTC, MARA, RIOT
- Top gainers in Bitcoin Resurgence ETFs - GBTC, AI, NVDA, MSFT, BLOK
- Top gainers in Biotechnology and Gene Therapy - AMGN, CLLS, REGN, BIIB, WAT
- Top gainers in Big Oil Companies - BP
- Top gainers in Big Energy Firms - FANG, DVN, SLB, HAL
- Top gainers in Autonomous Vehicles - NVDA, STM, MU, AAP, TXN
- Top gainers in Augmented Reality Stocks - AAPL, NVDA, MSFT, LITE
- Top gainers in ARK Top Holdings - EXAS, NTLA, TSLA, TWLO, TWLO
- Top gainers in Anti-Inflation Stocks - LOW, JKHY, DLTR, BMY
- Top gainers in AI Companies - OPEN, AI, PLTR, NVDA, UPST
- Top gainers in 5G Stocks - AAPL, SSL, CHW, TRP, AVGO
- Top gainers in 5G Boom ETFs - ESPO, FIVG, NXTG, SNSR, XLC
- Top gainers in 21st Century Economics Stocks - LGIH, FIS, BRKL, SYNA, TOLZ
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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