NVIDIA and four tech giants offer quantum exposure through cloud, software and infrastructure, helping investors tap the boom beyond pure plays.
Amazon announced Wednesday (Sept. 2) that it is giving consumers a new way to fight back against one of scammers' most effective weapons, impersonation.
Since October 2025, Amazon has cut roughly 30,000 corporate jobs through two major rounds of layoffs.
Some Amazon customers are upset about a tweak to the company's order confirmation emails. The e-commerce giant no longer says exactly which products customers ordered in its emails.
Amazon stock is back in the market's good graces, and it has gained about the same amount as the S&P 500 year to date. It's trading near its lowest-ever price-to-earnings ratio.
Amazon warns New York City's proposed Delivery Protection Act could add $664 yearly to household orders as it weighs relocating facilities "outside of" city limits.
AWS just posted its fastest growth in 18 quarters, Amazon is pouring $200 billion into AI infrastructure, and analysts keep lifting their targets. So what would it actually take to push AMZN from here to $350?
Amazon (AMZN), the e-commerce and cloud giant, traded at $255.33 Wednesday as its massive AI spending spree began shaking up Europe's corporate-debt market. Reu
Amazon is turning to AI to help fight scammers, the company announced on Wednesday. The retailer said some 360,000 customers every year reach out to its customer service department, wondering whether a message they received from Amazon is real or a scam.
Sundar Pichai promised a flagship AI model in June, prediction markets already declared it dead by August, and Google just shipped something else entirely. What that substitution reveals about DeepMind's internal chaos and Alphabet's cloud ambitions is the story investors are missing.
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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