UPS says it eliminated about 2 million pieces per day of lower-quality Amazon volume. Amazon's logistics arm delivered an estimated 6.7 billion U.S. parcels in 2025, passing the U.S. Postal Service.
Walmart is reportedly rolling out a new line of clothing to court younger consumers. The retailer's Scenario brand is set to debut this week, with most items costing under $25 as Walmart seeks to appeal to its core of discount shoppers and regain ground from Amazon, The Wall Street Journal (WSJ) reported Sunday (Aug. 23).
The company is the first to charge for rides in its autonomous vehicle without a steering wheel, dashboard or pedals.
Oracle's infrastructure may be cheaper and better-suited for AI workloads, but its heavy dependence on major client OpenAI has made many investors nervous. Amazon operates a diverse business that pioneered the cloud computing space, but its increasing capital expenditures have strained its balance sheet.
AI has already gutted white-collar tech jobs by the hundreds of thousands, but the next wave targets something far bigger: the physical economy and the wages of workers who never touched a keyboard.
Amazon (NASDAQ:AMZN | AMZN Price Prediction) has quietly become one of the most reasonably priced names in the Magnificent Seven, trading at a forward multiple that looks modest against the pace of
A company's earnings are important, but they don't provide the full financial picture. Cash flow is how companies actually pay for things, and right now, Amazon is spending more cash than it generates.
AWS sales increased 37.5% year over year in the second quarter, its best peformance in 18 quarters. The chip business has long-term commitments from companies like Anthropic and OpenAI.
David Tepper's Appaloosa Management increased its Amazon position by 15.8% last quarter, with the "Magnificent Seven" stock now making up 16% of its overall stock portfolio. The outsize wager on Amazon has continued paying off.
Amazon and Alphabet are still great deals, just not as cheap as you may think. Using 2027 earnings projections is a better way to value the stocks.
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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