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 Disruptive Tech ETFs - ARKF, FIVG, SNSR
- Top gainers in Disease-fighting Companies - MRNA
- Top gainers in Defense Stocks - VSEC, AVAV, HEI, SAIC, TGI
- Top gainers in Cyber Security Stocks - RINF
- Top gainers in Cybersecurity - NET, CRWD, PANW, ZS, FTNT
- Top gainers in Crypto Companies - MSTR, COIN, HOOD, MARA
- Top gainers in Creative Solutions and Designs - SNAP, PINS, TSLA, FVRR, INTU
- Top gainers in Coronavirus Stocks - LAKE, APT, VIR
- Top gainers in Consumer Staples Stocks - COST
- Top gainers in Cloud and Storage Stocks - GOOG, CRWD, TWLO, CRM, MSFT
- Top gainers in Clothing Companies - LAKE, ANF, PLCE, CPRI, JRSH
- Top gainers in Clean Power & Energy Stocks - CRVL, SNFCA
- Top gainers in Chip Stocks - TSM, QRVO, MRVL, INTC, QCOM
- Top gainers in China Stocks - WVVI, CTAS, CENT, SLCA, PFFD
- Top gainers in China emerging markets stocks - LVMUY, MFC
- Top gainers in Chemicals Stocks - GPRE, HWKN, FF, BCPC
- Top gainers in ChatGPT Stocks - NVDA, GOOGL, CRM, MSFT, INTC
- Top gainers in Cannabiz pot stocks - CRBP
- Top gainers in Blue Chip Stocks - MSFT, INTC, T
- Top gainers in Blockchain Technology Companies - NVDA, MARA, TSM, INTC, CSCO
- Top gainers in Blockchain stocks - ISUZY
- Top gainers in Bitcoin Stocks - MSTR, GBTC, MARA, HIVE
- Top gainers in Bitcoin Resurgence ETFs - NVDA, GBTC, GOOGL, BLOK, CRM
- Top gainers in Biotechnology and Gene Therapy - ALNY, LLY, REGN, AMGN
- Top gainers in Big Oil Companies - XOM
- Top gainers in Big Energy Firms - HAL, XOM, SLB
- Top gainers in Autonomous Vehicles - NVDA, TM, TSLA, HMC, MU
- Top gainers in Augmented Reality Stocks - NVDA, MSFT, QCOM, AAPL
- Top gainers in ARK Top Holdings - TSLA, TWLO, ROKU, ZM
- Top gainers in Anti-Inflation Stocks - JKHY, BMY
- Top gainers in AI Companies - NVDA, GOOGL, TSLA, LMND, PLTR
- Top gainers in 5G Stocks - MARA, WING, NICK, GLNG, ADI
- Top gainers in 5G Boom ETFs - XLC, FIVG, ESPO, SNSR, XTL
- 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,PARKIN.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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