Amazon is adding the Activity Feed from its Quick desktop app to the AI assistant's iPhone and Android apps, combining email, Slack messages, calendar invites and CRM updates into one prioritized list.
The difference is stark, and should make you reconsider an investment in the stock.
Alphabet, Amazon and IBM offer investors AI and quantum exposure, backed by growing cloud, AI and enterprise businesses with current demand.
Amazon is going to make it easier to shop when you're watching TV. The retail giant on Thursday announced a series of new features that will allow customers to discover products across thousands of Prime Video titles through integrations with its existing X-Ray experience, which today displays real-time actor bios, character names, soundtrack music, and more.
Today's most consequential retail technology investments have little to do with making things better, and more to do with redesigning them entirely. Walmart is rolling out tap-to-pay across its U.S. stores, opening checkout to Apple Pay, Google Pay, Samsung Pay, contactless cards and wearables after years of steering shoppers toward its own payments ecosystem.
Amazon (AMZN), the e-commerce and cloud-computing heavyweight, raised £4.25 billion, or roughly $5.76 billion, in its first sterling bond offering. The stock t
Barclays lifted its year-end S&P 500 target to 7,950 from 7,800, citing continued earnings growth and spending tied to artificial intelligence.U.S. equity strat
AI agents can already pick your next purchase, but they still can't pull the trigger without your permission. Five companies are quietly building the infrastructure that changes that, and they are not all the obvious names.
Not many portfolio adjustments draw as much scrutiny across Wall Street as those from billionaire Stanley Druckenmiller. The former George Soros protégé has compiled an unmatched record running Duquesne Capital, compounding returns above 30% annually over nearly three decades without a single losing year.
The chart ranking America's global data center dominance looks decisive, but it is counting the wrong thing entirely. A closer look at the variables that actually drive AI leadership reveals a lead that is far more fragile and contested than the numbers suggest.
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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