Spotify's Q2 gross margin rose to 33.4% as Premium growth outpaced music costs and Ad-Supported gains lifted operating profitability.
Amazon's decision to block Meta's Muse AI agent from shopping on its site raises questions about whether the big platforms will agree on rules for agents, how money will change hands, and whether shoppers want agents in the first place.
Dow Jones tech titan Amazon stock is battling with a key support level and approaching multiple new buy points.
President Donald Trump disclosed 1,156 securities transactions made on his behalf in July, totaling between roughly $79 million and $270 million, CNBC calculated. The largest were sales of between $5 million and $25 million each of Microsoft and Amazon on July 20.
Amazon looks to have recovered from its recent correction and could provide an attractive candidate for bullish traders.
The next battle in e-commerce may not be over who owns the biggest online store. It could be over who controls the AI agent deciding what consumers buy, where they buy it and how the transaction gets completed.
The gig economy offers numerous advantages. If you wish to take advantage of this highly popular trend, focus on stocks like UBER, DASH and LYFT.
Plus, DTC caviar puts the sector's premium prices in question and Gap partners with a rookie boy band for a nostalgic mall tour.
Shopify (NASDAQ:SHOP | SHOP Price Prediction) is rallying in early Tuesday trading after news that Muse, the personal artificial intelligence (AI) agent from Meta Platforms (NASDAQ:META), can now browse Shopify-powered stores and complete purchases through Shop Pay.
Many investors are growing increasingly complacent. I detail three very big mistakes that I am seeing a lot of investors make right now. I discuss why bonds may be riskier than they seem, historically cheap-looking high-yield securities may not be nearly as undervalued as they seem, and many investors are overpaying for outperformers.
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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