Amazon stock is up 14% YTD and is trading at its lowest valuation in a decade. Walmart stock is up 3% but has a high P/E ratio of near 40.
Billionaire investor Ray Dalio's hedge fund, Bridgewater Associates, has disclosed its latest stock holdings, revealing a portfolio valued at approximately $24.4 billion as of June 30, 2026.
Consumer sentiment is near an all-time low. However, low consumer sentiment can be a bullish indicator.
Microsoft was the fastest-growing company up until the most recent quarter. Valuing these two stocks is difficult.
History shows that investors cannot rule out an AI bust, but with the technology likely here to stay, selling everything is probably not the answer.
The four largest cloud buyers are on pace to spend roughly half a trillion dollars this year building AI infrastructure, and the number keeps climbing.
A coalition of Amazon Teamsters, the Alliance for a Greater New York and the Retail, Wholesale and Department Store Union rallied at New York City Hall to push passage of the Mayor Zohran Mamdani-backed “Delivery Protection Act” that would require Amazon to employ all last-mile delivery drivers in the city rather than rely on subcontractors.
The August 2026 earnings cycle delivered a clear message: the three US hyperscalers are converting massive AI infrastructure spend into accelerating cloud revenue alongside record capex.
SEC filings revealed Bezos' intent to sell up to 15 million shares of the company he founded. Amazon's second-quarter results showed tremendous progress for both retail and cloud computing.
AMS Capital Ltda reduced its stake in shares of Amazon.com, Inc. (NASDAQ: AMZN) by 37.6% during the undefined quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm owned 97,627 shares of the e-commerce giant's stock after selling 58,778 shares during the period.
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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