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.
Amazon.com continues to dominate e-commerce while scaling its high-margin cloud computing and advertising divisions. Comcast maintains a resilient connectivity footprint and generates substantial free cash flow from its broadband and wireless segments.
Characteristics and Risks of Standardized Options: https://bit.ly/2v9tH6D. AWS cloud accelerating for five straight quarters, strengthened by a significant backlog, is the biggest bullish indicator Kevin Hincks sees in Amazon (AMZN).
The Q2 earnings season is winding down, but many retail companies, including Walmart, have still yet to report. It and other big-box retailers have faced a difficult operating environment, with elevated fuel costs adding to consumers' financial burdens and increasing retailers' expenses.
Space Force taps Rocket Lab, Amazon, Lockheed Martin and more for communications contracts. SpaceX closes $60 billion Cursor deal.
Amazon's Prime-powered retail and booming cloud business should keep revenue growing and margins rising. On's premium brand momentum is driving fast revenue growth and expanding operating margins.
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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