Wall Street keeps punishing Amazon every time AI capex headlines hit, and one investor keeps buying the dip. The reason has nothing to do with quarterly earnings and everything to do with a number most analysts are not talking about.
AMZN's Prime growth, faster delivery and expanded content slate are deepening loyalty, supporting retail and advertising growth.
SEATTLE--(BUSINESS WIRE)--Amazon Ads announces First Day Ready, a multi-phase brand partnership campaign developed by Brand Innovation Lab, the creative arm of Amazon Ads, that connects brands to Gen Z students heading to college.The campaign brings together brand sponsors — Gatorade, Michael Kors, SharkNinja — each paired with an influencer ambassador across shoppable video, custom brand experiences, creator content, and a campus block party culminating in a concert presented by Amazon Music."B.
AWS just posted its fifth straight quarter of accelerating growth while Amazon's advertising and AI businesses quietly crossed thresholds that Wall Street has not fully priced in yet. Here is what the numbers actually signal about where shares go next.
Amazon and Alphabet both broke cloud growth records in Q2 while burning through historic levels of capital, but their funding strategies and margin runways point in starkly different directions for investors deciding which AI spending spree is actually worth backing.
Form 13F filings allow investors to track which stocks Wall Street's savviest asset managers bought and sold in the latest quarter. Billionaire David Tepper has piled into foundational AI stocks, such as Nvidia, Taiwan Semiconductor Manufacturing, and Amazon.
Most of the "Magnificent Seven" stocks are still doing well. Just don't expect generational returns anymore.
Etsy (NYSE: ETSY - Get Free Report) and Amazon.com (NASDAQ: AMZN - Get Free Report) are both consumer discretionary companies, but which is the superior business? We will contrast the two companies based on the strength of their earnings, risk, analyst recommendations, dividends, institutional ownership, valuation and profitability. Earnings and Valuation This table compares Etsy and Amazon.com"s
AI could accelerate X-Energy's path toward commercial nuclear power.
There's no cut-and-dried definition, but if you know who, then you largely know what, why, and how.
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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