Amazon's stock is trading at a historically low valuation with respect to earnings. Its growth rate, meanwhile, remains strong and could accelerate due to artificial intelligence.
The most interesting signal from Robinhood Markets, Inc. (NASDAQ:HOOD) traders this week is not that they sold Big Tech. It is that they sold while Big Tech was rising.
Pedram Rezaei, a 20-year Microsoft veteran, will work on the Kiro coding tool and the Quick workplace assistant at AWS.
AWS hired Microsoft executive Pedram Rezaei as a distinguished engineer. He is joining AWS's Agentic AI and Emerging Technologies group.
The Schwab Trading Activity Index⢠(STAX) increased to 58.92 in September, up from its score of 57.50 in August. The only index of its kind, the STAX is a pro
Microsoft and Amazon reported earnings a day apart, and their AI bets look nothing alike. One is selling into workflows it already owns, the other is racing to fill racks fast enough to meet demand that keeps outpacing supply.
In the second quarter, Amazon Web Services posted its fastest revenue growth rate in 18 quarters. The cloud division's customer backlog is enormous; however, it's not on the most solid ground.
In the race to dominate AI, most of the attention has fallen on the big cloud and AI giants snapping up chips by the truckload from the likes of NVIDIA Corporation NASDAQ: NVDA. Yet some of the smartest moves are arguably being made by those quietly building their own.
Retirement savers who own broad index funds hold large positions in four companies that one researcher believes may not survive the next generation.
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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