Amazon is planning to offer drone deliveries in nearly 500 U.S. cities and towns this year. The company has quietly expanded to more metro areas in recent months after receiving a key regulatory greenlight enabling longer-range deliveries.
Institutional investors added more than 70 million shares of EV maker Rivian Automotive Inc. (NASDAQ:RIVN) in the second quarter of 2026.
The $4 trillion club is about to get more crowded.
The billionaire's family office sold five chip and photonics stocks in a single quarter -- and made two of its biggest bets on the companies writing the checks for AI instead of chasing them.
Amazon's Prime Air drone delivery service is expanding to nearly 500 U.
Einride's first earnings report as a public company shows Amazon holding warrants for about 12% of the Swedish electric trucking company, vesting as Amazon buys freight services.
The chatbot race hides a much bigger contest. See which cloud titan has the efficiency, ecosystem, and financial strength to turn enormous AI spending into lasting value.
Amazon.com Inc. (AMZN, Financials) said in its latest quarterly financial report that major hedge funds took sharply different positions in the e-commerce and c
So when news broke last week that investor Dan Loeb's Third Point fund had trimmed its stake in Amazon.com Inc. NASDAQ: AMZN, just as the shares slid back from record highs, it was tempting to read it as a red flag. If one of the sharpest investors around is selling, then perhaps ordinary shareholders should worry too?
Four companies are driving most of the fresh corporate bond supply tied to the AI buildout. Amazon.com Inc. (NASDAQ:AMZN) , Alphabet Inc. (NASDAQ:GOOG) (NASDAQ:GOOGL) , Meta Platforms Inc. (NASDAQ:META) and Oracle Corp. (NYSE:ORCL) sold about $194 billion of bonds in 2026 through early July, up 79% from roughly $108 billion for all of 2025, according to a Reuters analysis of LSEG data.
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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