Amazon wants to build more than 1,000 same-day delivery facilities by 2031. The plan would put same-day hubs within 10 miles of most Amazon Prime customers in the US.
Anthropic has said it plans to make its initial public offering this fall. Amazon and Alphabet hold significant stakes in the leading AI lab.
Both stocks have been underwhelming recently, but the long-term appeal is strong.
Amazon reported 20% revenue growth in the second quarter. AWS is accelerating as demand for AI compute picks up.
In the latest trading session, Amazon (AMZN) closed at $248.24, marking a -2.09% move from the previous day.
The Magnificent Seven may be approaching a technical turning point after spending much of 2026 moving within a narrow range, with the Roundhill Magnificent Seve
AWS said it's unable to restore service to cloud-computing facilities in Bahrain and parts of the UAE, marking its first public update since April. In March, two of Amazon's data centers in the UAE were directly struck by drones, while a site was also damaged by a nearby drone strike.
Amazon just booked six more rockets and locked in enterprise deals with Delta, JetBlue, and Vodafone, yet Starlink still holds advantages that launch contracts alone cannot solve.
Yesterday Wall Street feared an AI slowdown. Today it found something older to worry about.
The competitive landscape for Amazon (AMZN) is getting tougher in the AI field, says Andy Swan of @LikeFolio. His firm data shows a strong uptick in Microsoft (MSFT) Azure while Amazon AWS and Alphabet (GOOGL) Google Cloud lag.
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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