Amazon Connect Talent, an agentic artificial intelligence solution for hiring, is now generally available, Amazon Web Services (AWS) said in a Thursday (Sept. 17) update to an article originally published in April.
In 2025, Amazon settled allegations brought by the Federal Trade Commission (FTC) that it used deceptive practices to enroll customers in its Prime membership.
Anthropic filed its confidential S-1 with the Securities and Exchange Commission back in June. Several large public companies hold equity stakes in Anthropic.
AWS just posted its fastest growth in 18 quarters while Amazon is burning through capex at a rate that swung free cash flow negative. Here is why that tension keeps me adding shares instead of walking away.
Compounding is boring until you look at the receipts. Three businesses have quietly turned a decade of reinvested cash flow into life-changing returns, and the engines that produced those returns are still running.
Amazon (AMZN) has received quite a bit of attention from Zacks.com users lately. Therefore, it is wise to be aware of the facts that can impact the stock's prospects.
All five of the world's largest companies are technology names. The mainstreaming of artificial intelligence has been the key driver of most of their enormous stock price gains.
Not every AI stock riding this year's rally has growth that will last, according to T. Rowe Price portfolio manager Paul Greene.
Training artificial intelligence requires tremendous computing power, but operating clusters of high-density processors requires something even more basic: reliable electricity. Cloud providers are colliding with an unyielding physical reality, as regional utility grids struggle to supply power at the speed modern technology demands.
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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