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.
Druckenmiller sold some Sandisk stock before its third-quarter tumble. Cloud computing is a major beneficiary of increased AI workloads.
Amazon is taking a page from Alphabet's book and growing its custom AI chip offerings. Amazon has positioned itself to be a winner no matter how it fares in the AI arms race.
The artificial intelligence boom is turning corporate capital spending into a different kind of arms race.
Amazon's Prime Air drones are set to reach nearly 500 U.
Every major AI bull run has a number investors quietly agree to ignore, and the one hiding behind Microsoft, Alphabet, Meta, and their peers right now makes the reported balance sheets look like a rough draft.
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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