Amazon (NASDAQ:AMZN | AMZN Price Prediction) has spent much of 2026 in the shadow of flashier AI names, but the Q2 print made clear that Andy Jassy is running one of the highest-velocity AI franchises in the market.
As the AI trade sees risk-off activity heading into Nvidia (NVDA) earnings, @ProsperTradingAcademy's Charles Moon sees trading opportunities in Big Tech. He points to Alphabet (GOOGL) and Amazon (AMZN) as notable breakout candidates in the Mag 7, while pointing to a "pretty easy route" for SpaceX (SPCX) to reach $175 if it can cross strong resistance first.
Amazon is developing an internal initiative called Project Tetromino to build "fully automated" delivery stations, according to an internal planning document obtained by Business Insider.
Amazon (AMZN), the e-commerce, advertising and cloud-computing powerhouse, fell approximately 0.5% to $260.7675 Tuesday morning. The Nasdaq climbed. Bond yields
The AI boom is changing the economics of technology far beyond the data center.
The high-profile investor believes the company is crushing it in two key areas of its business.
Co-hosts Andrew Sather and Stephen Morris on The Investing for Beginners Podcast recently walked through a three-tier framework for finding the best ideas in the AI value chain and ranked names by the margin of safety they see: “When you have a new industry, a new disruption
One of the most closely watched investment firms in the world, Berkshire Hathaway, is back in the news, releasing its latest round of portfolio updates.
Two don't need to be second-guessed, while the other is built more on long-term promises.
Jim Cramer used his opening segment on Mad Money to make a counterintuitive call.
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.
Or start with