Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Pre Market Movers: Amazon CEO Andy Jassy's Vision for AI and Cost Cutting
- Pre Market Movers: PureStorage Stock: An Overlooked Gem in the AI Race
- Pre Market Movers: Snowflake: Evaluating the Potential of New Leadership
- Pre Market Movers: Corporate IT Spending Rebounds Could Boost Salesforce Stock
- Pre Market Movers: PureStorage Stock: An Overlooked Gem in the AI Race
- Pre Market Movers: Corporate IT Spending Rebounds Could Boost Salesforce Stock
- Pre Market Movers: New Strong Sell Stocks Added to Zacks Rank #5 List
- Pre Market Movers: Analyzing the Potential of Palantir Stock Amidst Market Volatility
- Pre Market Movers: Ford Showcases New Truck Lineup at Manufacturing Plants
- Pre Market Movers: Goldman Sachs Urges Investors to Sell Tech Stocks; Activists Pressure Apple on Vietnam Detainments
- Pre Market Movers: Intel Unveils New AI Chip, Poses Threat to Nvidia
- Pre Market Movers: U.S. Government's Potential Role in JPMorgan Insider Trading
- Pre Market Movers: NVIDIA's Future in the AI Chip Market: A Closer Look
- Pre Market Movers: Tesla Investor May Table Collective Bargaining Motion at AGM
- Pre Market Movers: Amazon CEO Andy Jassy's Vision for AI and Cost Cutting
- Pre Market Movers: PureStorage Stock: An Overlooked Gem in the AI Race
- Pre Market Movers: Snowflake: Evaluating the Risks and Rewards of New Leadership
- Pre Market Movers: Corporate IT Spending Rebounds Could Propel Salesforce Stock Higher
- Post Market Movers: Carlyle's Jeff Currie Discusses Commodity Price Trends and Market Impact
- Post Market Movers: PVH Corp Cuts Guidance, Reflecting Retail Consumer Spending Trends
- Post Market Movers: Market Dips, But Pure Storage (PSTG) Gains
- Post Market Movers: Maravai LifeSciences Announces First Quarter 2024 Earnings Conference Call
- Post Market Movers: Snowflake Inc. (SNOW) Faces Significant Decline in Market Value
- Top gainers in Women in Charge - LMT, NOC, PGR, OXY, RGA
- Top gainers in Welcome to the Matrix - NVDA
- Top gainers in We are retailers - PLCE, WMT, DLTR, DG, COST
- Top gainers in We are Restaurants - DPZ, WING, CMG, WEN, YUM
- Top gainers in Wast Management - RSG, WCN, CWST
- Top gainers in Video Game Stocks - RBLX
- Top gainers in US Onshore Drilling Companies - PXD, AR, FANG, RRC
- Top gainers in US Airline Stocks - AIRT, VLRS
- Top gainers in TOP US - Technology Companies - META
- Top gainers in TOP US - Industrials Companies - GE, LMT, CAT, MMM
- Top gainers in TOP US - Healthcare Companies - MRK
- Top gainers in TOP US - Energy Companies - PBR, SU, XOM, COP, CVX
- Top gainers in TOP US - Consumer Defense Companies - WMT, PG, TGT
- Top gainers in TOP US - Consumer Cyclical Companies - BABA, AMZN
- Top gainers in TOP US 30 Stocks - CROX, CASY, IMKTA
- Top gainers in Top OIL Stocks - EPIX, NVDA, PPSI, BSET, AP
- Top gainers in Top GOLD Stocks - DUST, DZZ, SSRM
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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