The tech giant will refund $7.25 million in Prime membership fees to affected customers and pay an additional $1 million to settle the suit brought by the District of Columbia.
Goldman Sachs added Amazon and Huntington Ingalls to its Convictions List for October, despite both having lackluster years so far.
On Wednesday, Alphabet‘s (NASDAQ:GOOGL | GOOGL Price Prediction) Google unit unveiled Gemini 4 Argon, a frontier AI model aimed directly at enterprise work, and the market is declining to pay up for the announcement.
AMZN's $1B+ Synopsys deal boosts custom chips and AWS growth, but heavy capex, competition and valuation temper the near-term outlook.
The ways consumers and companies use computing technologies is a big reason for the performance disparities between these tech giants. Although the underlying dynamic will change again at some point, that shift is at least a couple of years away.
Synopsys is one of the best-performing stocks in the S&P 500 and Nasdaq today after the chip design software maker struck some major AI deals.
Amazon Web Services released an open-source decision model inspired by TypeSafe's Jev, with AI developers increasingly seeking intelligence that is more suited to computer automation than frontier LLMs.
America's economy runs on trucks. Nearly everything consumers purchase, from groceries and household essentials to construction materials and electronics, spends at least part of its journey traveling on the nation's highways.
Being right about a technology and right about its stock price are two different trades. AI investors learned that distinction the hard way over the past year.
Amazon shares sit 14% below their 52-week high, yet one specific earnings report next month could set the stage for a 62% surge over the next two years.
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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