2026 has reignited the IPO pipeline.
Morningstar strategist Tom Lauricella says the funds retirees bought specifically to escape tech concentration have quietly filled up with the same AI bets they were meant to offset, and the shift happened faster than almost anyone noticed.
Amazon is seeing paybacks on its server investments in less than three years. Alphabet is seeing a payback in less than two years, and even quicker with its own chips.
AWS just posted its fastest growth in 18 quarters while Google Cloud surged 82% year over year, and both companies are spending tens of billions to pull further ahead.
Tesla is down on the year, yet two ETFs that both own the stock are having completely opposite experiences in 2026. The reason has nothing to do with the stock itself and everything to do with a single number buried in each fund's filing.
ServiceTitan beat and fell 30%, oil broke $100, and more
Amazon's stock has fallen sharply even as AWS clocked its fastest growth in 18 quarters, and one Wall Street analyst now sits at a target so far above consensus it reframes the entire risk-reward picture.
Amazon (AMZN) is rated Buy, with growth and valuation increasingly tied to AI-driven AWS and data center capex. AWS is projected to drive over 70% of AMZN's EBITDA by 2030, but long-term returns hinge on AI-as-a-service monetization. Key risks include potential oversupply, declining ROIC, and uncertainty around OpenAI and Anthropic's ability to pay for compute.
N.E.W. Advisory Services LLC bought a new stake in shares of Amazon.com, Inc. (NASDAQ: AMZN) in the second quarter, according to the company in its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The institutional investor bought 25,344 shares of the e-commerce giant's stock, valued at approximately $6,040,000. Amazon.com
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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