One of the top dividend-paying stocks, Coca-Cola, lagged the S&P 500 index in the past decade. Amazon's ability and willingness to invest aggressively in promising opportunities support ongoing revenue and profit growth, benefiting shareholders.
Earnings season is here again, with the next few weeks promising some important earnings drops. From financials like JP Morgan Chase (JPM) all the way to most of the megacap tech names, markets will learn a lot.
Perhaps some investors were giving up on the company a bit too soon.
Andy Jassy just committed roughly $200 billion in capital expenditures for 2026, and the logic behind that number reveals something most investors are missing about where AWS demand is actually coming from.
While most of the Mag 7 have recently reestablished leadership in the stock market, Amazon (AMZN) has lagged in recent weeks since hitting all-time highs in early August. Kai Wu says the stock has the "most interesting set-up" of the group.
Amazon is looking to challenge SpaceX in the satellite-based connectivity market. SpaceX has a huge lead over all of its competitors.
Amazon.com, Inc.'s valuation has faced renewed pressure after briefly joining the $3 trillion club. AMZN stock's underperformance in recent months highlights the market's concerns about Amazon's negative FCF profile and rising debt exposure amid renewed rate hikes, compounded by intensifying competition from Meta's Muse agent. Yet broadening agentic adoption is reinforcing AWS' growth outlook, expanding infrastructure demand beyond AI accelerators and across its diversified compute portfolio.
Growth stocks are gaining appeal as major indexes reach record highs and the market shifts from buying dips toward following momentum. Strong Growth and Momentum factor grades can identify companies combining accelerating fundamentals with sustained price strength and sector-relative outperformance. Opportunities extend beyond AI, with compelling growth trends spanning semiconductors, e-commerce, cloud computing, specialty chemicals, and data analytics.
Microsoft and Amazon are expanding their footprint in quantum computing, even as a commercial breakout remains years away.
It's too good a value to pass up on right now.
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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