Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Chip Stocks: Top gainers TSM
- China Stocks: Top gainers BABA, CHIQ, UUUU
- China emerging markets stocks: Top gainers BABA, EDU, NIO, MCHI, NOAH
- Chemicals Stocks: Top gainers LXU, LYB, DOW, MEOH, VHI
- ChatGPT Stocks: Top gainers CRM, AI, AMZN, MSFT, GOOGL
- Cannabiz pot stocks: Top gainers XXII, ABBV
- Blue Chip Stocks: Top gainers MSFT, T, JNJ, ABBV
- Blockchain Technology Companies: Top gainers CSCO, TSM
- Bitcoin Resurgence ETFs: Top gainers CRM, AI, AMZN, MSFT, GOOGL
- Biotechnology and Gene Therapy: Top gainers VRTX, LLY, CRL, REGN, DHR
- Big Oil Companies: Top gainers OXY, COP, CVX, XOM, BP
- Biggest MarketCap Companies: Top gainers XOM, LLY, ORCL, PLTR, AMZN
- Big Energy Firms: Top gainers FANG, DVN, HAL, SLB, OXY
- Autonomous Vehicles: Top gainers UBER, KMX, GM, NIO, F
- Augmented Reality Stocks: Top gainers MVIS, IMMR, MSFT
- ARK Top Holdings: Top gainers TWLO, ZM, NTLA, TSLA
- Anti-Inflation Stocks: Top gainers CLX, BMY
- AI Companies: Top gainers PLTR, AI, OPEN, TSLA, GOOGL
- 5G Stocks: Top gainers PTEN, XNCR, SSL, WK, WLK
- 5G Boom ETFs: Top gainers XLC, ESPO
- 21st Century Economics Stocks: Top gainers LEE, SYNA
- 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: Investing $1000: Tesla vs. Ford - A Tale of Two Quarters
- Pre Market Movers: Oracle's Strong Potential for Rebound Sparks Investor Interest
- Pre Market Movers: Super Micro Computer Facing Steep Decline as Wall Street Predicts Upside
- Pre Market Movers: Micron and Taiwan Semiconductor Manufacturing Stocks Set to Rebound Before 2026 Ends
- Pre Market Movers: Palantir Surges with $13.1 Billion Backlog as Investors Take Notice
- Pre Market Movers: Amazon Stock Reaches Record High Amid Strong Earnings Report
- Pre Market Movers: Tesla's Diverse Growth Strategies Propel Company Forward
- Pre Market Movers: Analyzing the Impact of Sovereign AI Infrastructure Spending on Nvidia, AMD, and Tesla Stocks
- Pre Market Movers: Plug Power Stock Climbs Ahead of Earnings Report
- Pre Market Movers: Intel Falls 5% on Proposed $15B Share Sale as AMD, Nvidia, Broadcom Hold Steady
- Pre Market Movers: Billionaire Mark Cuban Raises Concerns Over Nvidia's AI Financing Impact on the Market
- Pre Market Movers: Contrasting Fortunes: Investing in Tesla and Ford for Growth and Optionality
- Pre Market Movers: Oracle's Rebound Potential Sparks Investor Interest
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.
Or start with