For well over a decade, Amazon has been promising that the future of shopping would arrive from above. Now, after years of regulatory battles, technical setbacks and relatively small delivery numbers, Amazon boss Jeff Bezos' vision is finally beginning to look less like science fiction.
On CNBC's “Halftime Report Final Trades,” Kevin Simpson, Capital Wealth Planning founder and CIO, picked Amazon.com, Inc. (NASDAQ:AMZN).
Amazon (AMZN) is expanding its manufacturing footprint in Texas with plans for a new robotics facility in Austin, Texas Gov. Greg Abbott said in a Wednesday sta
Delta Air Lines chose Amazon Leo for its in-flight WiFi instead of Starlink. Elon Musk has frequently criticized the decision and said Delta would lose customers.
Anthropic's preliminary second-quarter results reignited enthusiasm across the artificial intelligence sector, lifting semiconductor stocks 1% on Monday despite broader tech sector declines. Q2 revenue topped $11.5 billion — a 14x surge year-over-year and more than 2x last quarter's figures.
Amazon and SpaceX are the two biggest winners from Anthropic's growth, with the AI company's annualized revenue run rate hitting $65 billion in July 2026, up roughly 600% year over year. Anthropic has committed $100 billion to Amazon cloud services over 10 years and pays SpaceX about $1.25 billion a month for compute capacity through 2029.
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Secondary markets are pricing the Anthropic IPO at $2 trillion. The maker of the Claude large language model has submitted its confidential S-1 form to the SEC, a key step ahead of going public.
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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