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: Analyzing the Stock Market: December Dividend Record, Apple's Potential Peak, and 2024 Stock Predictions
- Pre Market Movers: Battle of the AI Giants: Nvidia vs. Intel
- Pre Market Movers: Meta Stock Can Soar on These 3 Catalysts, Say Analysts. The Case to Buy.
- Pre Market Movers: TSMC and Nvidia: Dominating the AI Chip Market
- Pre Market Movers: New EV Frontiers: 3 Stocks Ready to Drive Past Tesla in 2024
- Pre Market Movers: Nvidia's Pursuit of Amazon's Market Cap
- Pre Market Movers: Snowflake Positioned for Strong Growth in Cloud Data Warehousing Market
- Pre Market Movers: Wall Street Recommends HubSpot Over Palantir for AI Growth Stock Investment
- Pre Market Movers: Apple's Stock Outlook for 2024
- Pre Market Movers: Intel to Launch Arrow Lake and Lunar Lake CPUs in 2024
- Pre Market Movers: Mark Zuckerberg Reveals New Venture as a Rancher, Raising Cows on Beer and Nuts
- Pre Market Movers: Hot Stocks: Apple, Nvidia, and TSMC in Focus
- Pre Market Movers: New EV Frontiers: 3 Stocks Ready to Drive Past Tesla in 2024
- Pre Market Movers: Nvidia's Race to Surpass Amazon's Market Cap
- Pre Market Movers: Snowflake Positioned for Strong Growth in Cloud Data Warehousing Market
- Post Market Movers: Tandem Diabetes and Abbott Debut New Integrated Offering
- Post Market Movers: Warren Buffett's AI Investments and S&P 500 Rally: What to Watch in 2024
- Post Market Movers: Top 3 Investment Ideas for 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
- US Stock Price Volume Leaders For January 9, 2024
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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