Amazon (AMZN, Financials) could get an early holiday-shopping boost next month as Adobe Analytics forecasts consumers will spend $10 billion during the company'
Amazon (AMZN), the commerce and cloud-infrastructure company, brought Claude Opus 5.5 to Bedrock and Claude Platform on AWS on September 22. Shares stood at $24
ETFs like AWAY are riding on "funflation" as consumers keep spending on hobbies, travel, music and leisure despite higher prices.
AI hyperscalers are burning through capital at a pace that dwarfs entire national economies, and analysts warn the financing schemes growing in the shadows may be far less stable than anyone wants to admit.
President Donald Trump 's latest investment tally looks modest next to the administration's $11.2 trillion cumulative figure. But its composition tells a different story.
Moderna, Micron, Intel and AMD have powered huge gains in single-stock leveraged ETFs in 2026. Here are four standout areas.
Amazon is spending at a scale that makes most investors nervous, but the cash flow charts tell a story that has me adding to my position every quarter.
Sen. Elizabeth Warren, D-Mass., and other Senate Democrats sent letters to the CEOs of Meta, Google, Amazon and Microsoft seeking information on tax subsidies for AI and data center development they say was authorized by the GOP-led "one big beautiful bill" act.
It all comes down to portfolio construction -- one is logical, one isn't.
OpenAI pauses AI training after latest escape, EV rules rolling back, and more…
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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