Several of the companies in the "Magnificent Seven" have fully retained their "magnificence" in the three years since the group was defined. Most of Meta Platforms' businesses have parallels within SpaceX.
YouTube announced on Thursday that eligible creators in the U.S. can now tag Amazon products in their content and receive a cut of sales. Creators can link Amazon products in their shorts, long-form videos, and livestreams.
Who will win the race to a once-unthinkable sales milestone? Barron's looks at the top candidates.
Thiel is most famous for co-founding PayPal and Palantir, and being Facebook's earliest outside investor.
Amazon.com Inc. (NASDAQ:AMZN) stock fell nearly 2% Thursday as the stock lagged both the broader market and its sector despite bullish analyst views on Amazon Web Services and AI-driven cloud demand.
Amazon.com (AMZN), the e-commerce and cloud-infrastructure giant, expanded its Nvidia commitment beyond three million GPUsâbut Wall Street still hit the brake
On CNBC's Morning Call Sheet on August 27, 2026, longtime tech analyst Dan Ives told viewers where the next dollars flow after NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) reignited the AI rally.
Megacap technology shares are showing a different response to the latest artificial-intelligence rally, with investors favoring chipmakers and selected software
The biggest takeaway from this week's Hot Chips conference wasn't that Nvidia Corp‘s (NASDAQ:NVDA) grip on AI chips is slipping. It was that its biggest customers are investing more aggressively than ever in building their own.
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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