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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 - KO, MO, MDLZ, CL, STZ
- Top gainers in Cloud and Storage Stocks - CSCO, BABA
- Top gainers in Clothing Companies - ZUMZ, TLYS, DBI, CATO, SCVL
- Top gainers in Clean Power & Energy Stocks - CRVL, TOLZ, SCHD, XONE
- Top gainers in China Stocks - WVVI, SFBS, CENT, SLCA, WDIV
- Top gainers in China emerging markets stocks - MFC, BABA
- Top gainers in Chemicals Stocks - GPRE, SCL, OEC, NGVT, MEOH
- Top gainers in ChatGPT Stocks - IBM
- Top gainers in Cannabiz pot stocks - CRBP, ABBV, STZ
- Top gainers in Business Development Companies (BDCs) - OCSL, HTGC, FSK, ARCC, GAIN
- Top gainers in Blue Chip Stocks - JNJ, T, CI, ABBV, MMM
- Top gainers in Blockchain Technology Companies - RIOT, MARA, AXP, CSCO, IBM
- Top gainers in Blockchain stocks - FLGT
- Top gainers in Bitcoin Stocks - RIOT, MARA, HIVE, GBTC
- Top gainers in Bitcoin Resurgence ETFs - GBTC, BLOK, IBM
- Top gainers in Biotechnology and Gene Therapy - CLLS, AMGN, DGX, BIIB, GSK
- Top gainers in Big Oil Companies - BP, CVX, COP, XOM, OXY
- Top gainers in Big Energy Firms - CVX, COP, XOM, HAL, OXY
- Top gainers in Autonomous Vehicles - WGO, AAP, THO, GT, PII
- Top gainers in Augmented Reality Stocks - IMMR
- Top gainers in ARK Top Holdings - NTLA
- Top gainers in Anti-Inflation Stocks - BMY, LOW, JKHY, CLX
- Top gainers in AI Companies - LMND, OPEN
- Top gainers in 5G Stocks - MARA, FGBI, IMKTA, NICK, GLNG
- Top gainers in 5G Boom ETFs - XTL
- Top gainers in 21st Century Economics Stocks - BRKL, MOV, TOLZ, 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
- Pre Market Movers: Las Vegas Sands' Loss Could Benefit MGM and Wynn
- Pre Market Movers: Bargain Hunting: 3 Oversold Stocks to Watch
- Pre Market Movers: Oncor Electric Delivery Company LLC to Release First Quarter 2024 Results on May 7
- Pre Market Movers: The Future of Palantir's Stock and the Tech Market
- Pre Market Movers: U.S. Automakers GM and Ford Rely on Gas-Powered Trucks Amid Slowing EV Growth
- Pre Market Movers: Apple Removes WhatsApp and Threads from China App Store Following Government Order
- Pre Market Movers: Investing in the Future: 3 Semiconductor Stocks to Watch
- Pre Market Movers: Senate Minority Leader Mitch McConnell Continues to Invest in Former Warren Buffett Favorite
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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