History shows that investors cannot rule out an AI bust, but with the technology likely here to stay, selling everything is probably not the answer.
The four largest cloud buyers are on pace to spend roughly half a trillion dollars this year building AI infrastructure, and the number keeps climbing.
A coalition of Amazon Teamsters, the Alliance for a Greater New York and the Retail, Wholesale and Department Store Union rallied at New York City Hall to push passage of the Mayor Zohran Mamdani-backed “Delivery Protection Act” that would require Amazon to employ all last-mile delivery drivers in the city rather than rely on subcontractors.
The August 2026 earnings cycle delivered a clear message: the three US hyperscalers are converting massive AI infrastructure spend into accelerating cloud revenue alongside record capex.
SEC filings revealed Bezos' intent to sell up to 15 million shares of the company he founded. Amazon's second-quarter results showed tremendous progress for both retail and cloud computing.
AMS Capital Ltda reduced its stake in shares of Amazon.com, Inc. (NASDAQ: AMZN) by 37.6% during the undefined quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm owned 97,627 shares of the e-commerce giant's stock after selling 58,778 shares during the period.
Elon Musk has finally admitted that Anthropic is the current leader in AI. Amazon is poised to greatly benefit from its relationship with Anthropic.
Amazon indicated for the first time this week that any video broadcast via its livestreaming platform Twitch could be used to train generative AI, unless users take steps to avoid it, which has caused a significant backlash from both audiences and content creators.
Amazon.com maintains a dominant lead in both e-commerce and cloud computing while growing its high-margin advertising business. StubHub continues to operate as a leading global marketplace for live event tickets, connecting millions of fans with sellers across 200 countries.
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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