James Czerniawski takes a closer look into the FTC lawsuit against Amazon (AMZN) filed by the agency and 22 U.S. states. The suit alleges that Amazon made $20 billion off deceptive advertising practices.
Amazon.com Inc. (AMZN, Financials), the e-commerce and cloud giant, is facing a new legal challenge aimed directly at one of its fastest-growing businesses. The
Amazon's e-commerce empire quietly rivals some of the world's largest corporations, yet investors keep treating it as the boring half of the business. Understanding what each division is actually worth changes everything about how you see the stock.
SMRs could make it much easier to deploy nuclear power plants.
Amazon is a long-term, dividend-free growth investment whose powerful Prime ecosystem, expanding logistics network, and strategic investments create a massively competitive moat.
Amazon's $5.3B Saudi bet expands AWS' AI infrastructure footprint, while accelerating growth and strong guidance fuel fresh investor interest.
Amazon.com maintains a massive ecosystem that includes its dominant cloud computing segment and a growing high-margin advertising business. Shopify provides the critical infrastructure for millions of independent merchants and is achieving rapid top-line growth.
Amazon continues to experiment with how AI can be used to improve the shopping experience, resulting in Tuesday's launch of a new feature within its Alexa for Shopping AI assistant called “Update Me When.” This latest addition can send consumers personalized notifications when something new or relevant happens that could lead to a purchase.
The sticker shock in Big Tech earnings this year came from the capital expenditure line. Microsoft (NASDAQ:MSFT | MSFT Price Prediction) spent $115.95 billion on property and equipment in the fiscal year ended June 2026.
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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