AMZN is expanding agentic AI across seller tools, advertising and AWS, but heavy AI spending raises questions about when monetization will catch up.
AWS is booming, custom silicon is fully subscribed, and Wall Street has loaded up on buy ratings, but the real question is whether Amazon can clear a target that even the bulls have not fully priced in.
CrowdStrike trades at a premium valuation despite lingering reputational damage, while Figma's growth outpaces profitability by a wide margin.
Amazon is introducing tools to let independent sellers manage their sales on four of its biggest rivals — eBay, Shopify,
Time to upgrade Amazon back to a buy, as recent weakness presents a timely entry amid reported threats from the Meta Muse AI agent. AMZN's advertising segment, now nearing $75B in annual revenue, is a critical growth and margin driver, but faces potential disruption from Muse. Amazon's aggressive investments in compute infrastructure and partnerships reinforce its AI and e-commerce ecosystem moat. Amazon understands AI very well.
Amazon (AMZN) will invest $3 billion to expand its quick commerce business in India by 2030, two sources told Reuters, its biggest bet yet on a segment where lo
Apple faces double-top risk, Microsoft remains range-bound and Amazon tests key moving-average support.
Maybe that Amazon-Walmart rivalry isn't so fierce after all. Amazon announced Thursday morning (Sept.
The company, which uses the machines for sorting and moving packages inside warehouses, is already one of the world's top robot makers.
Sonoma Private Wealth LLC bought a new stake in Amazon.com, Inc. (NASDAQ: AMZN) in the undefined quarter, according to the company in its most recent filing with the Securities and Exchange Commission. The firm bought 3,372 shares of the e-commerce giant's stock, valued at approximately $804,000. A number of other institutional investors and hedge funds also
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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